LEGUS and Hα-LEGUS Observations of Star Clusters in NGC 4449: Improved Ages and the Fraction of Light in Clusters as a Function of Age

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Published 2020 February 3 © 2020. The American Astronomical Society. All rights reserved.
, , Citation Bradley C. Whitmore et al 2020 ApJ 889 154 DOI 10.3847/1538-4357/ab59e5

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0004-637X/889/2/154

Abstract

We present a new catalog and results for the cluster system of the starburst galaxy NGC 4449, based on multiband imaging observations taken as part of the LEGUS and Hα-LEGUS surveys. We improve the spectral energy fitting method used to estimate cluster ages, and find that the results, particularly for older clusters, are in better agreement with those from spectroscopy. The inclusion of Hα measurements, the role of stochasticity for low-mass clusters, the assumptions about reddening, and the choices of SSP model and metallicity all have important impacts on the age dating of clusters. A comparison with ages derived from stellar color–magnitude diagrams for partially resolved clusters shows reasonable agreement, but large scatter in some cases. The fraction of light found in clusters relative to the total light (i.e., TL) in the U, B, and V filters in 25 different ≈ kiloparsec-size regions throughout NGC 4449 correlates with both the specific region luminosity, RL, and the dominant age of the underlying stellar population in each region. The observed cluster age distribution is found to decline over time as dN/τγ, with γ = −0.85 ± 0.15, independent of cluster mass, and is consistent with strong, early cluster disruption. The mass functions of the clusters can be described by a power law with dN/dM ∝ Mβ and β = −1.86 ± 0.2, independent of cluster age. The mass and age distributions are quite resilient to differences in age-dating methods. There is tentative evidence for a factor of 2–3 enhancement in both the star and cluster formation rate ≈100–300 Myr ago, indicating that cluster formation tracks star formation generally. The enhancement is probably associated with an earlier interaction event.

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1. Introduction

Are most stars born in clusters or in the field? Does the fraction of stars found in clusters remain constant, change over time, or vary with the environment within a galaxy? These questions are the primary focus of this paper.

The discovery of large numbers of massive ($\gtrsim {10}^{5}\,{M}_{\odot }$), young ($\lesssim {\rm{few}}\times 100$ Myr) "super star clusters" in merging and starbursting galaxies led to the idea that—in these galaxies, at least—a large percentage of star formation occurred in clusters (e.g., Meurer et al. 1995; Whitmore & Schweizer 1995). Subsequently, Larsen & Richtler (1999), using multiband ground-based observations, discovered that massive young clusters are also forming in normal spiral galaxies, albeit in smaller numbers, as appropriate for their lower star formation rate (SFR).

In a follow-up paper including starbursts, spirals, and a handful of mergers, Larsen & Richtler (2000) determined that the fraction of U band light coming from clusters relative to the total galaxy, TL(U), ranged from <1% to ∼15%, and that TL(U) increased with the ratio of far-infrared to B-band flux and the optical surface brightness of the host galaxy. Converting the IR luminosities to SFR, they found that TL(U) also correlates with both SFR and SFR per unit area (ΣSFR).

More recently, following Bastian (2008), several studies (e.g., Goddard et al. 2010, Adamo et al. 2015; Johnson et al. 2016) have attempted to convert the measurements of the fraction of light in clusters, TL, to the fraction of stellar mass in clusters relative to the total mass of the galaxy, Γ, which is a more physically motivated quantity but one that requires more assumptions and extrapolations (for example, extrapolating the mass function below the observational limit to include the mass from all clusters).

Observations of both starburst and spiral galaxies suggest that many or most of their young clusters disrupt soon after their formation, depositing their remaining stars into the field: see, e.g., Whitmore (2004), Fall et al. (2005), and Whitmore et al. (2007), but see Johnson et al. (2017) for a different view. If this is the case, then both the fraction of light and of mass found in clusters should decline with age. However, clusters also fade rapidly with time, which complicates the interpretation of TL(U) when mixed-age cluster populations are present, because a given cluster luminosity limit includes clusters of very different ages. In this situation, it is possible that a higher fraction of very young, luminous clusters are included in galaxies with higher rates of star formation (and ΣSFR) relative to those with lower rates. This would artificially increase TL(U) measured for galaxies with high SFR and ΣSFR.

To get around that issue in this work, we take a new approach and measure the fraction of light emitted from clusters TL(λ) in the starburst NGC 4449, but in roughly kpc-size subregions designed to isolate areas that appear to be dominated by stellar populations with a narrow range in age. A similar strategy was used in Kim et al. (2012) to study 50 regions in M83. This approach has several potential advantages over previous works that used entire galaxies (which have more mixed-age cluster populations), since the ability to isolate regions dominated by clusters of different ages simplifies the interpretation of TL(U), although it also results in low number statistics in some regions. The method provides an alternative way of studying cluster formation and disruption, and is largely complementary to the approach of studying entire galaxies taken in most previous studies.

We have selected NGC 4449 for this study, a nearby (distance = 3.82 Mpc; Annibali et al. 2008), well-studied "starburst" galaxy with a rich population of young, intermediate, and old clusters. It is part of the LEGUS (Legacy Extragalactic UV Survey), which has imaged 50 nearby star-forming galaxies in five broadband filters using the Hubble Space Telescope (HST; Calzetti et al. 2015). It has an MB magnitude of −18 and is considered a dwarf galaxy by some authors. This galaxy also has narrowband imaging that covers the Hα line (including the adjoining [N ii] lines), and is part of the Hα-LEGUS survey (R. Chandar et al. 2020, in preparation). NGC 4449 is a particularly good galaxy for this study since it is possible to isolate regions that appear to be dominated by stars and clusters of a single age. The 25 regions identified in Figure 1 will be used for this purpose.

Figure 1.

Figure 1. Figure showing the LEGUS mosaic image of NGC 4449, the 25 color-coded regions selected for analysis in the text, and the ID numbers and log of the mean cluster ages for the clusters in these regions as derived in this paper. The color coding is as follows. Red = old regions, i.e., those with very few or no blue stars or emission line regions (note that emission-line H ii regions are greenish in this image, due to the presence of Hβ, and O iii [4959, 5007] in the F555W filter)); yellow = intermediate age (dominated by blue stars but no emission line regions); and blue = young (dominated by emission lines). The sizes of most boxes were chosen to isolate regions that appear to be dominated by stars and clusters of a single age (e.g., see region 3). Larger regions were used in the outskirts, because the stars and clusters are uniformly old (i.e., no blue stars or H ii regions).

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One of the primary goals of our study is to determine if values of TL(λ) depend on the ages of the stars and clusters that appear to dominate the integrated light in a given region. Accurate ages are therefore required, hence we begin by comparing the measurement of cluster ages using a variety of commonly used age-dating methods (i.e., integrated colors, spectroscopy, stellar color–magnitude diagrams, emission line ratios in H ii regions). NGC 4449 is sufficiently close that we can study both the clusters and underlying stellar population directly. We note that, in their recent review, Krumholz et al. (2019) suggest that the details of how cluster catalogs are treated can lead to different conclusions about cluster disruption; we test this suggestion in NGC 4449 by comparing the results from a variety of different age-dating methods. Finally, we also examine a number of general properties of the clusters, such as the age distributions and mass functions. We compare the star formation history (SFH) derived from the stellar component with the cluster age distribution to help disentangle the cluster formation and disruption rates. In addition, we compare enhancements in the age distributions of the clusters and stars to see if they are similar, which would imply a close link between the formation of stars and clusters. We also examine various properties as a function of position in the galaxy to determine if there are environmental dependencies.

The remainder of this paper is organized as follows. Section 2 describes the observations and selection of clusters. Section 3 discusses features in the cluster color–color diagram, including reddening and the effect of stochasticity. Section 4 presents our age-dating method, which includes both broad- and narrowband photometry, and compares our age results with those from the LEGUS survey. Section 5 compares our ages with those determined from spectroscopy, color–magnitude diagrams (CMDs), and H ii regions. Section 6 examines the fraction of light in clusters and how it correlates with region and age. Section 7 discusses general cluster properties, such as the mass functions and age distributions, and Section 8 summarizes the results.

2. Observations and Reductions

NGC 4449 has been observed with three generations of cameras onboard the HST. Figure 2 shows the coverage with the Wide Field Planetary Camera 2 (WFPC2; see Gelatt et al. 2001), Advanced Camera for Surveys (ACS; see Annibali et al. 2008; Rangelov et al. 2011), and Wide Field Camera 3 (WFC3; see Calzetti et al. 2015). In this work, we focus on the ACS and WFC3 observations. The new WFC3 observations have a scale of 0farcs04 per pixel. We adopt a distance of 3.82 Mpc to NGC 4449, corresponding to a distance modulus of 27.91 mag, as determined by Annibali et al. (2008) using the tip of the red giant branch method. Hence, 1'' is equivalent to 18.7 pc, and 1 WFC3 pixel is equivalent to 0.75 pc.

Figure 2.

Figure 2. Footprints for HST observations of NGC 4449 using the WFPC2 (left), ACS (center), and WFC3 (right), from the Hubble Legacy Archive (HLA; see Whitmore et al. 2016).

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Note that many of the observations have been restricted to the central star-forming portion of the galaxy (e.g., the WFC3 LEGUS observations, PI = Calzetti, proposal ID = 13364); only the ACS (F438W, F555W, F658N, F814W filters, PI = Aloisi, proposal ID = 10585) imaged the outer parts of the galaxy (see Figure 2). The availability of only three broadband filters in the outer regions affects the age dating of the clusters and stars at some level, a topic that will be discussed in Section 4.2. Observations of the central region, including those from LEGUS (Calzetti et al. 2015), provide the widest wavelength coverage, including both the ACS filters listed above and the F275W and F336W filters from WFC3. The galaxy actually extends to much larger radii than shown in Figure 1, with evidence of former interactions (from two different dwarf companions) in the range of 100–500 Myr ago (Hunter et al. 1998, 1999; Theis & Kohle 2001; Karachentsev et al. 2007; Martínez-Delgado et al. 2012; Rich et al. 2012) based on both optical and HI radio observations. In particular, Hunter et al. (1998) find counter-rotating gas systems and high velocity dispersions in the outer part of the optical galaxy.

2.1. Cluster Selection and Photometry

The initial selection of star cluster candidates in NGC 4449 followed the basic steps described in Adamo et al. (2017) for LEGUS galaxies. Briefly, point-like sources were identified using SExtractor, and sources brighter than MV = −6 (after including an average aperture correction) that have a concentration index (difference in magnitudes within 1 and 3 pixel radii) greater than 1.3 were selected as cluster candidates. For reference, isolated stars have a concentration index value around 1.2 (e.g., see Adamo et al. 2017). One of the authors (B.C.W.) then visually classified each candidate cluster using the following categories, as defined in LEGUS: 1 = symmetric extended source, 2 = asymmetric extended source, 3 = clustered grouping of close point sources (i.e., compact association), 4 = likely artifact (e.g., individual star, close pair of stars, background galaxies). We define a source to be category 3 in NGC 4449 if it has at least four stars within a five-pixel radius. Out of the original 1361 candidates, 473 were classified as category 1, 2, or 3, while the remaining 888 (i.e., 65%) objects were considered artifacts.

In addition to classifying each source visually, a grid search of the images by one of us (BCW) identified cluster candidates that were added from the original LEGUS list. In general, these objects were clearly visible but were either slightly below the MV = −6 limit or were missing from the original SExtractor detection because they were slightly more diffuse than other clusters. Each of these sources has a peak pixel count of at least 0.1 ct s−1. This flux level was selected since it can be seen against the background level of the galaxy almost into the central region. Some of these added objects were in the original source catalog but were removed because they were fainter than the MV = −6 cutoff. The added sources tend to be more diffuse, and therefore have larger-than-average aperture corrections. An additional 121 cluster candidates were identified and added to the sample, resulting in a total of 594 category 1 + 2 + 3 cluster candidates in the final catalog. This will be called the Hα-LEGUS catalog, and is somewhat different from the LEGUS catalog used in, e.g., Cook et al. (2019), as described below. Figure 3 shows three examples of objects that were added (the white circles) in Region 23, along with several original category 1 and 2 objects for comparison. The sample, including the added clusters, was also vetted by Dave Cook as part of the Cook et al. (2019) study. He retained 94% of the added cluster candidates.

Figure 3.

Figure 3. White circles show examples in region 21 of three of the 121 objects that have been added to the sample. Several original category 1 (red) and 2 (green) clusters are included for comparison. There are no category 3 objects in this region.

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The High Level Science Product (HLSP) available from the LEGUS website contains the cluster categories defined in the Cook et al. (2019) study rather than from the current Hα-LEGUS study. Unlike LEGUS, the Hα-LEGUS catalog includes narrowband photometry, does not correct for foreground extinction (the age-dating software fits for the foreground + local extinction), and applies aperture corrections that do not depend on the filter, i.e., no color-dependence is introduced. We note that the foreground reddening is very low, i.e., E(BV) = 0.019 according to Schlegel et al. (1998).

The addition of these clusters increases the level of completeness in our sample. The luminosity function of the original sample (i.e., before including the added clusters) for category 1 + 2 candidates begins to artificially flatten near MV = −6.8, due to issues with completeness. A fit to the bright portion of the luminosity function, with an extrapolation to fainter magnitudes, indicates that the 50% completeness level occurs near MV = −6.4 and that the sample is only complete at about the 20% level at the MV = −6 cutoff. With the addition of the 121 clusters, the flattening now occurs at MV ≈ −6.4 and the MV = −6.0 cutoff is closer to a 50% completeness level. The Hα-LEGUS sample presented here has a more gradual cutoff, and includes some very faint clusters with MV ≈ −4 in the outer parts of the galaxy. The addition of these clusters allows us to more completely examine the ages of clusters in the outer regions with faint backgrounds. More stringent criteria (i.e., MV = −6.4; ≈ 80% completeness) are imposed for various subsamples when constructing the mass and age distributions, as will be discussed in Section 7.

Little effort was made to add category 3 compact associations (i.e., only four of the added 121 cluster candidates), since this becomes quite a difficult and subjective exercise in crowded regions. In general, the category 3 populations should be considered less certain for this reason than category 1 and 2 sources. While their inclusion provides a way to study the properties of the lower-density stellar groupings, their completeness and absolute numbers are not as well-defined.

The final number of objects in categories 1, 2, and 3 are 120 (20%), 261 (44%), and 213 (36%), respectively. This is very similar to the relative percentages found for other LEGUS galaxies, as reported in Grasha et al. (2017) and H. Kim et al. (2020, in preparation), with a slightly larger fraction of category 2 clusters.

The visual classification was performed by B.C.W. using the normal method of LEGUS classification described in Adamo et al. (2017) (i.e., using a DS9-based tool, the IMEXAMINE task, and the contrast control as the primary tools), but with just one rather than three classifiers. Color images produced using the ACS F438W, F555W, F814W, and Hα image from the HLA (Whitmore et al. 2016) were also examined during the grid search for each cluster. This allowed us to include a visual determination of the morphology of associated Hα emission present around each cluster. This procedure was inspired by the results from the Whitmore et al. (2011) study of M83, which found a strong correlation between Hα morphology and cluster age. We use the following classification system for Hα morphology: objects with Hα-class = 1 have line emission on top of and largely coincident with the candidate cluster, Hα-class = 2 show a ring-like structure around the candidate cluster, Hα-class = 3 have some diffuse Hα in the general area that may or may not be associated with the object, and Hα-class = 4 sources show no Hα emission around them at all. As will be seen in Section 4, the Hα morphology provides very useful constraints during the age-dating procedure.

Photometry was performed using apertures with radii of five pixels and sky values in annuli with radii between seven and eight pixels. While different size apertures and assumptions about aperture corrections would affect our results at some level, our experience (e.g., Chandar et al. 2010; Whitmore et al. 2014) has been that this represents a relatively minor uncertainty. We do not apply any correction for foreground extinction to the magnitudes, unlike the LEGUS catalog where small corrections (i.e., 0.03 in F814W to 0.11 in F275W from the NASA/IPAC Extragalactic Database) were made; instead, we fit for the total extinction (foreground plus internal) for each cluster, as described in Section 4.1. These small adjustments would introduce very minor differences in the results—much smaller than the larger effects discussed in Sections 4.2 and 4.3 (e.g., use of Hα measurements, different spectral energy distribution (SED) models, assumptions about reddening). We apply aperture corrections to the measured magnitudes in two ways: (1) an average aperture correction determined from bright, fairly isolated clusters; and (2) a CI-dependent aperture correction: Apcorr = −4.452 + 6.4638 × CI − 2.3469 × CI2 − 0.04518 × CI3, which can be applied over the CI range 1.3 − 2.23. In both cases, the determinations are made from the V band measurement and applied to all filters, to avoid introducing uncertainties in the colors of the clusters. Cook et al. (2019) demonstrate that the method used to determine aperture corrections has very little impact on the resulting age and mass distributions (see also Chandar et al. 2010).

Figure 4 shows a region (including, but extending outside of, region 11 in Figure 1) that illustrates the object selection and classification system. The top panel shows an F555W image while the bottom panel shows an F438W, F555W, F814W color image from the HLA (Whitmore et al. 2016). Red circles are category 1 (symmetric), green circles are category 2 (asymmetric), and blue circles are category 3 (compact associations). The eight slightly smaller orange circles are the clusters in this region from a study by Annibali et al. (2011), which will be discussed in Section 5.1. The final log age values are shown in yellow. The diffuse green light in the bottom panel is indicative of emission line flux (i.e., Hβ at 4861 Å and [O iii] at 5007 and 4959 Å) that leaks into the F555W filter. Note that most of the clusters with this green emission have very young ages (i.e., log age ≈ 6.5–6.7 Myr).

Figure 4.

Figure 4. Image of region 11 (and slightly beyond), showing the selection of category 1 (symmetric; red circles) and category 2 (asymmetric; green circles) clusters, and category 3 (clustered point sources; blue circles) compact associations. Note that the circles have radii of 15 pixels rather than the five pixels used for the aperture photometry. The log age values derived from this paper are included in yellow. Smaller orange circles show the clusters from Annibali et al. (2011) in this region. Bottom panel shows the color image from the HLA; green colors are indicative of emission line flux. Note that bright clusters from Annibali with log age ≈ 8.7 (part of the enhancement that will be discussed in Section 7.3) are white, while older clusters with log ages ≈ 9.4 (i.e., old globular clusters—see discussion in Section 4.1) are redder. Bar in the upper left shows the scale.

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3. Color–Color Diagrams, Reddening, and Stochasticity

As will be described in Section 4, our cluster age-dating procedure uses a SED fitting procedure to provide estimates of age, reddening, and mass. However, a U − B versus V − I color–color diagram also provides a useful guide to the ages of clusters, as well as insights into the role of reddening and stochasticity in the age-dating procedure.

3.1. Color–Color Diagrams

In Figure 5, we present the U − B versus V − I color–color diagram for the full cluster catalog (top left), as well as for each of the three cluster categories individually: category 1 or symmetric clusters (top right), category 2 or asymmetric clusters (bottom left), and category 3 or compact associations (bottom right). The 121 clusters that were added to the sample (as described in Section 2.1) are shown as open circles. In general, we find that their distribution roughly matches the distribution of the original cluster candidates. A reddening vector with amplitude of Av = 1 (Fitzpatrick 1999) mag is included in each panel. The solid curve in each panel shows the predicted progression from the 1/4 solar metallicity Bruzual & Charlot (2003) model (as appropriate for young clusters in NGC 4449; see Annibali et al. 2011) in color–color space for a cluster as it ages from 1 Myr in the upper left to 10 Gyr in the lower right.

Figure 5.

Figure 5. The VI vs. (UB) color–color diagrams for all (upper left), category 1 (upper right—symmetric clusters), category 2 (lower left—asymmetric clusters) and category 3 (lower right—compact associations) in NGC 4449. Solid lines show Bruzual & Charlot (2003) cluster models, while the dashed lines in the upper left shows Yggdrasil (Zackrisson et al. 2011) models, both with 1/4 solar metallicity. Numbers are the ages for the Yggdrasil models (with ages 1–10 Myr shown as squares). Ages for the Bruzual–Charlot models are included in Figure 6. Arrow shows a AV = 1.0 reddening vector. Open circles represent "added" clusters (see Section 2.1), while filled circles represent clusters from the original LEGUS list. Snapshots are shown for various clusters. See Section 3.1 for discussion.

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The locations of key ages from the Bruzual–Charlot models, which are used to produce the Hα-LEGUS cluster properties, are shown in the upper right panel of Figure 6 (triangles). We note that the triangles for 1 and 2 Myr have been slightly displaced from each other for clarity; in the Bruzual–Charlot models, they actually have identical colors. This is why there are no clusters with age estimates of 1 Myr in the Hα-LEGUS catalog. We also show the predictions from the Zackrisson et al. (2011) Yggdrasil models for the same metallicity (dashed lines) in the upper left panel of Figure 5 and in Figure 6. The Yggdrasil models are used to estimate the LEGUS ages.17

Figure 6.

Figure 6. The VI vs. (UB) color–color diagrams for the Hα class 1 clusters in NGC 4449 (filled circles) and M83 (open circles, from Whitmore et al. 2011). SED tracks and reddening vector are the same as shown in Figure 5. An inset has been included to make it easier to see the details of the models at young ages. Note that six of the M83 clusters show clear evidence of reddening (i.e., they track down the reddening vector), but none of the NGC 4449 clusters show clear evidence of reddening (i.e., they can all be explained by SEDs with ages 7 Myr or lower, as expected for objects with Hα emission and no reddening).

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The most notable difference between the Yggdrasil predictions and the Bruzual–Charlot ones used here is that emission from ionized gas is included in the former (but not the latter), leading to bluer predicted V − I colors at the youngest ages. The Yggdrasil models appear to better match the few clusters with very strong line emission, but the colors of the majority of the very young, blue clusters in NGC 4449 appear to better follow the predicted colors of the Bruzual & Charlot models (i.e., they have values V − I ≈ −0.2).

Category 1 objects are found in two distinct knots in the color–color diagram, old globular clusters farthest to the bottom right with V − I in the range 1.0–1.2, and a second group just above them and to the left. This second group has V − I values in the range ≈0.4–0.6, indicative of ages in the few hundred Myr range. We will discuss this second population in more detail in Section 7.3. There is also a sprinkling of very young clusters with U − B ≈ −1.5, indicative of very young (≈few Myr) ages.

Category 2 clusters also fall in two knots in color–color space. The first is similar to the few hundred Myr old knot found in the category 1 objects, but extends to slightly younger ages. The second enhancement is similar to the young distribution in the category 1 diagram, but with roughly a factor of three more objects.

Category 3 objects ("compact associations") consist of essentially all young objects, but with a longer extension to the red due primarily to the random presence of red supergiants (i.e., stochasticity), which is more important in these typically lower-mass objects—e.g., see Fouesneau et al. (2012). This stochasticity will be discussed in more detail in Section 3.3.

Six snapshot images show typical objects in different parts of Figure 5 ranging from reddish old globular clusters and whitish intermediate-age clusters in category 1 to emission-dominated (greenish) compact associations in the upper left of category 3. Note that this very young object is better fit with the Yggdrasil models, as expected since these broadband colors include nebular line+continuum emission, while the Bruzual–Charlot models used here do not. However, this does not appear to affect the age estimates very much, because the seven bluest points in V − I have a median log age value = 6.0 (i.e., 1 Myr) using LEGUS ages and 6.5 (i.e., 3 Myr) using Hα-LEGUS ages. This is because the inclusion of the narrowband F658N filter in the Hα-LEGUS fitting procedure compensates for the lack of nebular emission in the predicted broadband colors from the Bruzual–Charlot models, as will be discussed in Section 4.

3.2. Constraints on Reddening toward Clusters in NGC 4449

In this section, we use the color–color diagram to set constraints on the maximum amount of reddening allowed by the SSP age-dating algorithm that will be discussed in more detail in Section 4. Constraints on the expected range of extinction values toward optically visible clusters can help to improve the age-dating results for a given galaxy. Most SED fitting routines allow any value of Av, hence a cluster with the colors of an old globular cluster can be appropriately fitted with an age of 10 Gyr and Av ≈0 mag, or erroneously fitted with an age ≈10 Myr and Av ≈1.0 mag, because of the degeneracy between age and reddening in broadband filters. Spectroscopic observations can often be used to remove this degeneracy, as will be shown in Section 5.1.

In Figure 6, we estimate the highest likely values of reddening in NGC 4449 using the clusters embedded in Hα (those with Hα-class = 1), by estimating the amount of reddening toward the clusters that fall redward of the models. We then use this value to set constraints on the maximum reddening allowed by the SSP fitting routine. Note that a number of strong Hα-emitting clusters fall blueward (to the left) of the Bruzual–Charlot model; we find that these clusters are assigned young (≈few Myr) ages no matter what assumption we make for E(BV). Therefore, we do not consider them when setting constraints on the maximum allowed reddening. As might be expected, most (69%) of these strong Hα regions are found in the blue boxes in Figure 1, with nine in or near Region 11, and four in Region 15. Twenty-two percent are found in the yellow boxes, with three each in regions 13 and 24. Dwarf and lower-mass irregular galaxies often have lower extinction (and hence lower reddening) than more massive galaxies: for example, Zaritsky et al. (2002) find little or no extinction in the Magellanic Clouds, except around the youngest stars. Hence, we might expect NGC 4449 to have relatively low values of reddening as well.

Previously, Whitmore et al. (2011) found evidence for moderate extinction toward very young, embedded clusters in the more massive spiral galaxy M83, based on the locations of strong, Hα-emitting clusters in the color–color diagram. These values are included as open circles in Figure 6 for comparison with NGC 4449.

This figure reveals a key difference between the colors of very young clusters in NGC 4449 and M83: in M83, very young, embedded clusters follow the reddening vector nearly all of the way down to the end of the model tracks, but in NGC 4449, the distribution of colors appears to be fairly horizontal rather than following the reddening vector diagonally down and to the right. As discussed further in Section 4, this leftward ∼scatter in V − I probably results from the contamination of gaseous emission lines around young stars in the F555W filter, which are included in the Yggdrasil models but not in the Bruzual–Charlot models. Only two NGC 4449 data points in Figure 6 are slightly low, and these are consistent with ages of 7 Myr or less. These ages are compatible with expectations for regions with Hα emission, hence there is no need for reddening to explain their location in the color–color diagram, unlike the case for M83. We conclude that the clusters in our NGC 4449 catalog appear to have very low total reddening (foreground plus internal), with $E(B-V)\,\lesssim 0.2-0.3$ mag. We adopt an upper limit ≈3× larger (i.e., E(BV) = 0.75) when age dating our clusters, as described in Section 4.1.

Figure 7 shows the reddening values from the LEGUS age-dating solution (upper panel), the reddening values using the Hα-LEGUS algorithm and a limit of E(BV) <0.75 (middle panel), and a hybrid using the 0.75 mag limit for the youngest clusters and a value of 0.0 mag for clusters with age estimates greater than 10 Myr (note that this is done in two iterations: the first where reddening is allowed to vary to determine the age, and the second where E(BV) is set to 0.0 mag for the older clusters). This latter strategy is what is actually used in the final Hα-LEGUS catalog, as will be discussed in more detail in Section 4.1. We note that most of the clusters with E(BV) values greater than 0.4 in the final Hα-LEGUS fits are those discussed earlier, with strong Hα emission pushing their colors blueward of the model.

Figure 7.

Figure 7. The E(BV) reddening values for the LEGUS age-dating solutions (upper panel), Hα-LEGUS with E(BV) < 0.75 restriction (middle panel), and the Hα-LEGUS solution (i.e., where E(BV) is constrained to be zero for log age > 10 Myr) (lower panel). Open symbols show clusters with three filters (i.e., the outskirts without WFC3 UV or U observations), filled circles show clusters with five filters. Note the large values of E(BV) derived for the LEGUS solution (i.e., ≈1) for many of the clusters with derived values of log age ≈ 6.7 for both three and five filters. Most of these are actually old globular clusters, as determined by their appearance or spectra from Annibali et al. (2017). Also see discussion in Section 5.1

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A consistency check is possible via comparison of our E(BV) values to those for H ii regions in NGC 4449 based on Balmer decrement observations (Annibali et al. 2017). They find values ranging from 0.10 to 0.24 for six H ii regions. This is consistent with our estimate of $E(B-V)\lesssim 0.2-0.3$ mag from Figure 6 for the objects with strong Hα, and also with the mean value of E(BV) = 0.16 for the 104 clusters with Hα-LEGUS ages less than 10 Myr in Figure 7. Annibali et al. (2017) also make estimates of E(BV) for older planetary nebulae in NGC 4449. While these estimates have larger uncertainties, four of the five values are consistent with E(BV) = 0.0.

Note that the LEGUS solution (top panel) has a large number of clusters with E(BV) ≈ 1. Essentially all of these objects are actually old globular clusters with overestimated values of E(BV), based on comparisons with either spectroscopic (Annibali et al. 2018) or integrated photometry (Annibali et al. 2011) observations. This topic will be revisited in Section 5.1.

While our results suggest that it is appropriate to restrict the range of reddening and extinction that is considered in our fitting algorithm for NGC 4449, we note that more massive and metal-rich galaxies such as M83 or the Antennae require a higher reddening limit (e.g., Whitmore et al. 2010, Whitmore et al. 2011).

3.3. Effect of Stochasticity

If reddening is a relatively minor effect in NGC 4449, then why are there so many points well to the right of the models in Figure 5? In Figure 8, we isolate 79 objects with these colors. In Figure 9, we show part of Region 8, where 10 of these objects reside (i.e., the yellow circles). In all 10 yellow circles, we find that the reddish VI colors are caused by the presence of red stars in the aperture. A visual examination of all 79 objects shows that 76 of them have bright red stars in the aperture! We note that Johnson et al. (2012) found a similar distribution of objects in M31 (see their Figure 12).

Figure 8.

Figure 8. Top panel is the same as upper left panel in Figure 5, but with points with $(U-B)$ < −0.6 and VI > 0.7 circled to isolate cases where stochasticity rather than reddening may be important (see also Figure 12 in Johnson et al. 2012). The five large squares show the objects with blue circles around them (i.e., with no red stars near the center) in Figure 9. The middle figure shows age estimates for the isolated points from LEGUS and from Hα-LEGUS. The bottom panel shows that age differences estimated by Hα-LEGUS are interpreted as large reddening values in the LEGUS age estimates.

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Figure 9.

Figure 9. A crowded region in NGC 4449 containing 10 of the stochastic candidate objects from Figure 8 (yellow circles), along with five category  3 (compact associations—blue circles) that are not in the stochastic region of the color–color diagram shown in the top panel of Figure 8 (i.e., they are shown as large squares in Figure 8). Note that all of the stochastic candidates have both red and blue stars near their centers, while none of the compact associations shown by blue circles have bright red stars near their centers. This shows that the position of the stochastic candidates in the color–color diagram is due to the inclusion of a red star, not due to reddening from dust. The region is clearly older than 10 Myr, because there is essentially no gaseous emission (green) in the region near the objects. Note that the circles in Figure 9 are roughly twice as large as the apertures used to make the photometric measurements.

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This effect is often called stochasticity; the random presence of at least one red supergiant in a low-mass cluster or association. For low-mass clusters, the chance of containing a single red supergiant is often less than 50%, hence there are no red stars in the aperture for some associations. Five of these all blue-star compact associations are shown by blue circles in Figure 9, (note that the five-pixel apertures used to measure the photometry are roughly half the size of the circles shown in Figure 9). The locations in the color–color diagram for these regions with only blue stars are shown by the squares in the top panel of Figure 8. As expected, all five are well to the left of the objects where the red stars are found. This stochasticity introduces a large random component in the age dating of low-mass clusters, as discussed in several papers (e.g., Maiz Apellaniz 2009; Fouesneau & Lancon 2010; Fouesneau et al. 2012; Krumholz et al. 2015).

More specifically, stochastic effects can result in underestimated ages from most SED fitting procedures, since the algorithm assigns a large reddening vector to bring it into better correspondence with the models. This is shown in the middle panel of Figure 8, where LEGUS assigns log age = 7 for nearly all of the objects in this part of the diagram. The Hα-LEGUS age estimates are older, with mean values around 7.5 (i.e., 30 Myr). This is more realistic because there is essentially no Hα in the region, indicative of ages greater than 10 Myr. The bottom panel of Figure 8 shows that age differences estimated by Hα-LEGUS are interpreted as large reddening values in the LEGUS estimates. A more detailed discussion of stochasticity, and a potential method of reducing its effects by the "stacking" of objects, is included in Hannon et al. (2019).

The lack of any clear evidence for strong extinction in NGC 4449 (i.e., Figure 6) and the fact that stochasticity can result in the underestimate of cluster ages (i.e., Figure 8) lead us to adopt "zero reddening" for cluster ages greater than the 10 Myr solution for the Hα-LEGUS catalog, as shown in the bottom panel of Figure 7. We note that this is also compatible with several recent findings showing that the dust is generally cleared around young clusters in only a few Myr (e.g., Whitmore et al. 2011; Hollyhead et al. 2015; Grasha et al. 2018; Matthews et al. 2018). In addition, the adoption of the zero-reddening solution for older clusters is similar to the procedure used by Annibali et al. (2011), who assumed no internal extinction for all clusters in NGC 4449.

In principle, it might be possible to limit the effects of stochasticity by only including relatively high-mass clusters. However, as shown in Figure 10, this does not work particularly well, since the fractions of sources with colors in the "stochastic zone" (i.e., U − B < −0.6 and V − I > 0.7) for the fairly massive clusters (i.e., greater than 10,000 solar mass) are fairly similar to those for the lower-mass clusters (less than 3000 solar mass). We also note that only 2 of the 122 added clusters are in the stochastic zone, primarily because very few category 3 (compact associations) were added. One way to limit the effects of stochasticity is to only include category 1 and 2 sources (see Figure 5), as we and several other LEGUS studies have done in various parts of the analysis.

Figure 10.

Figure 10. The VI vs. (UB) color–color diagrams for the originally selected sources (left panels; filled circles) and the clusters that were added (right panels; open circles). See Section 2.1 for a discussion of the added clusters. The samples are also broken into massive (greater than 10,000 solar mass) at the top, intermediate-mass (greater than 3000 but less than 10,000 solar masses) in the middle, and low-mass (less than 3000 solar masses) at the bottom. Both the Bruzual–Charlot (solid line) and Yggdrasil (dotted line) models are included.

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4. Age Results from SSP Fitting

In this section, we estimate ages for the Hα-LEGUS catalog of clusters in NGC 4449, and compare the results with those from the LEGUS project. We incorporate the results from Section 3, and explore the separate impacts that different filter combinations, assumptions about reddening, SSP models, and assumptions about metallicity have on the results.

4.1. The Hα-LEGUS Method for Estimating Cluster Ages, Extinctions, and Masses

We find the best-fit combination of age and extinction for each cluster by comparing the magnitudes measured in five broadband filters (UV, U, B, V, and I) and one narrowband filter (Hα), with predictions from the Bruzual & Charlot (2003) stellar evolution models. The narrowband filter contains nebular line plus stellar continuum emission. The Bruzual & Charlot models used here do not include nebular emission, but do predict the number of Lyman continuum photons. We use this to predict the Hα line luminosity as a function of age, using Equation (9) from Leitherer & Heckman (1995), and combine it with the predicted stellar continuum to get a total (line+continuum) predicted magnitude for this filter.

The measured and predicted magnitudes are compared by performing a least χ2 fit in which each filter is weighted by ${W}_{\lambda }={\left[{\sigma }_{\lambda }^{2}+{(0.05)}^{2}\right]}^{-1}$, where σλ is the photometric uncertainty, and assuming a fixed metallicity of Z = 0.004 (∼1/4 solar), a Chabrier (2003) initial stellar mass function, and a Galactic extinction law (Fitzpatrick 1999). The mass of each cluster is determined by multiplying the predicted M/LV at the best-fit age, with the extinction-corrected V-band luminosity of the cluster, using an assumed distance modulus of Δ(m − M) = 27.91. Our final cluster catalog is called 'Hα-LEGUS' in what follows.

The method for including the narrowband Hα measurements is updated here, over the one described in Chandar et al. (2010), based on the additional information provided by the Hα morphological classification discussed in Section 2.1, which allows us to characterize the presence or absence of associated line emission beyond the five-pixel radius used directly for the Hα measurement. For Hα-morph class 1 and 2, the actual magnitude measured for the narrowband filter is used (including both line and continuum emission). For Hα-morph classes 3 and 4, which have little or no associated Hα line emission, respectively, the F658N filter is effectively treated as a measure of the R-band continuum.

We make two additional updates to our age-dating method based on the discussion of reddening in Sections 3.2 and 3.3, as well as the graphics in Figure 6. The first is to set an upper limit of E(BV) ≤0.75 mag, reflecting the low extinction in this galaxy even for the youngest clusters. The second is to adopt a zero reddening (E(BV) = 0) age-solution for clusters with estimated ages older than 10 Myr (based on an initial iteration where the reddening is allowed to vary).

With these revisions included, the age estimates for older clusters from our Hα-LEGUS catalog are in much better agreement with the spectroscopic determinations (see Section 5.1 and Table 1). In addition, we find a larger, more reasonable number of clusters with ages $\gtrsim {10}^{9}\,\mathrm{yr}$ (77 instead of just 5).

Table 1.  Comparison of log Age Values

ID/alias LEGUS E(BV) Hα-LEGUS Annibali et al. (2011) Annibali et al. (2018) R.A. Decl. VI $(U-B)$
        Photometry Spectra      
  (log Myr) (mag) (log Myr) (log Myr) (log Myr)     (mag) (mag)
582/CL3 6.85 0.86 9.40 9.85 9.95 187.06849 44.12486 1.253 0.035
592/CL77 6.78 0.91 9.65 9.86 10.08 187.05641 44.14404 1.135
32/CL79 6.70 0.92 9.26 9.91 10.04 186.99944 44.07870 1.070
13/CL76 9.48 0.02 9.40 10.08 10.04 187.01615 44.07090 1.165
28/CL67 8.70 0.00 8.86 8.49 187.03891 44.07748 0.712 −0.025
153/CL20 9.60 0.03 9.70 9.16 10.04 187.07843 44.08878 1.219 −0.011
417/CL8 9.30 0.00 9.41 9.71 187.07828 44.10641 1.015 −0.010

Note. 1. Values with discrepancies greater than 1.4 from the Annibali et al. (2011, 2018) values are shown in italics.

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To this point, we note that integrated colors are significantly worse at providing age estimates of ancient globular clusters than integrated spectroscopy, at least in part because of the age–metallicity degeneracy. We estimate the age we would determine for the bluest known, most metal-poor Galactic globular clusters, which are confirmed to have ages ≈13 Gyr from their main-sequence turnoffs (VandenBerg et al. 2013), by comparing their colors of U − B ≈ 0.0 and V − I ≈ 0.8 to the Z = 0.004 Bruzual & Charlot model. We find that these colors would give a predicted age of ≈9.1 in log age; we use this value as a lower limit for candidate globular clusters in NGC 4449. We note that this is consistent with our results from Table 1, where we find that all of the confirmed old globular clusters from Annibali et al. (2018) have Hα-LEGUS ages greater than 9.2 in log age.

Our final age estimates have random uncertainties of ≈0.3 in log age, or a factor of 2. There are also systematic uncertainties near log age ≈7.0, when the model colors loop back on themselves, leading to "gaps" in the age–mass diagram (e.g., see the upper right panel of Figure 6). See Chandar et al. (2010) for further discussion of error estimates.

4.2. Comparison of Age Results from Hα-LEGUS versus LEGUS

In this section, we take a detailed look at the age results from Hα-LEGUS, and compare them with the ages determined as part of the LEGUS survey. It is important to remember that there are a number of differences in the methods used to estimate the ages in the two cluster catalogs.

  • 1.  
    The catalogs use different fitting codes: the procedure used for Hα-LEGUS is described above (Section 4.1), and that for LEGUS is described in Adamo et al. (2017).
  • 2.  
    The catalogs use different filter combinations, with and without the narrowband Hα measurement.
  • 3.  
    The treatment of reddening is different, as discussed in Section 3.
  • 4.  
    The catalogs use different methods for making aperture corrections: Hα-LEGUS applies an aperture correction that does not vary from filter to filter, and hence does not affect the colors, whereas LEGUS applies independent aperture corrections to each filter (see Adamo et al. 2017).
  • 5.  
    The catalogs use different SSP models: Bruzual & Charlot (Hα-LEGUS) versus Yggdrasil (LEGUS).

In this section, we compare the age results from the catalogs generated by Hα-LEGUS and LEGUS.18 In Section 4.3, we examine the impact of different assumptions one at a time by using the same fitting code (i.e., the Hα-LEGUS code described in Section 4.1). The same photometry is used to assess the impact that different combinations of filters, reddening, SSP models, and assumed metallicities have on the results.

In Figure 11, we compare our Hα-LEGUS results with those from the LEGUS HLSP catalog available from the LEGUS public website. The filled circles show results when photometry in all filters is available (i.e., UV, UBVIHα for Hα-LEGUS and UV, UBVI for LEGUS), and the open circles show results when no UV or U band photometry is available (i.e., BVIHα for Hα-LEGUS, and BVI for LEGUS).

Figure 11.

Figure 11. Comparison between age estimates using the LEGUS and the Hα-LEGUS catalogs. Small snapshot images show where four typical clusters fall in the diagram. Open symbols show clusters with only three or four filters (i.e., the outskirts without WFC3 UV or U observations). Filled symbols show clusters with five or six filters. The snapshots have an approximate field of view of 50 × 50 pixels. See Section 4.2 for a discussion.

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It is important to note that the standard procedure for LEGUS is to only include age estimates when four or more broadband filters are available. However, we have relaxed this constraint for our study of NGC 4449, since there are a number of clusters in the outer parts of the galaxy with only BVI (and Hα) observations. While age dating that does not include the UV or U band filters can result in larger uncertainties in general, if zero internal extinction is appropriate (e.g., for nearly all the clusters in the outer portions of NGC 4449 where only BVI observations are available), good age estimates are possible, as will be shown below.

It is illustrative to examine clusters that fall in different parts of this diagram. Four representative cluster snapshots are shown for this purpose.

The top image shows an example of a cluster near the top of the most prominent vertical chimney, with an age of log age ≈ 6.7 from LEGUS, and log age ≈ 9.4 from Hα-LEGUS. This cluster, and essentially all others in the top of this chimney, are identified as old globular clusters based on their appearance, colors, and spectra (the spectra are discussed further in Section 5.1). Hence, the older Hα-LEGUS ages are more accurate. If we follow the chimney down farther, to log age(Hα-LEGUS) > 7.9, we find a larger fraction of category 2 clusters coming in. There are essentially no category 3 objects in the chimney (i.e., 33 of the 34 are category 1 or 2). Hence, this chimney is caused by effects related to the inclusion of Hα and differences in the treatment of reddening, as will be discussed in Section 4.3, not by stochasticity—which is mainly relevant for category 3 objects.

While many of the clusters in this chimney do not have UV or U band photometry, a number do; therefore, it is not only the lack of information in these bluer filters that drives the discrepancy between the Hα-LEGUS and LEGUS ages.

The second snapshot down shows an example of a cluster further down in the most prominent chimney, with an estimate log age ≈ 6.7 from LEGUS, and log age ≈ 8.8 from Hα-LEGUS. The older age appears to be more appropriate for this and most of the other objects in this part of the chimney, since the cluster is diffuse and whitish instead of blue, and there is no evidence of Hα emission.

The third snapshot down shows one of the many (≈100) clusters that are assigned young best-fit ages from both methods. These are generally very blue, often with evidence of Hα emission in the vicinity as in this particular snapshot (i.e., the diffuse, green emission). The main difference in the results for the few clusters that show strong line emission (those that follow the Yggdrasil model extension along the top left in the color–color diagrams shown in Figures 5 and 6) is that Hα-LEGUS returns best-fit ages of log age ∼ 6.4, while LEGUS returns best-fit ages of log age = 6.0.

The bottom snapshot shows an example where both LEGUS and Hα-LEGUS find intermediate ages, with log Age ≈ 8.0 from LEGUS, and log age ≈ 9.0 from Hα-LEGUS. It is unclear which age, the Hα-LEGUS or the LEGUS, is more appropriate based on the appearances of these clusters.

We now look at the overall comparison in Figure 11 in more detail. The first obvious difference is the much larger number of clusters in Hα-LEGUS with ages >109 yr, as noted above. The numbers of clusters represented by each of the four snapshots are 17 (top snapshot: LEGUS <= 7.0 and Hα-LEGUS >= 9.0 in log age), 39 (second snapshot down: LEGUS <= 7.0 and Hα-LEGUS between 8.0–9.0 in log age), 98 (third snapshot down: LEGUS <= 7.0 and Hα-LEGUS <= 7 in log age), and 20 (bottom snapshot: LEGUS between 7.5 and 8.0 and Hα-LEGUS >= 8.3 in log Age).

Hence, there are 76 (i.e., 17 + 39 + 20 from above) clusters (i.e., 13% of the 592) in these three "chimneys." The larger number (i.e., 98) of clusters represented by the third snapshot down demonstrates that the overall agreement is actually fairly good; the outliers are spread out more and hence look more dramatic in the figure.

Another way to quantify the differences between ages derived in LEGUS and Hα-LEGUS is to normalize by the mean offset between the two systems and then look for discrepancies greater than a factor of three, i.e., 0.5 in log age, for clusters with Hα-LEGUS ages that are less than log Age = 9, i.e., where SED ages are less reliable (see R. Chandar et al. 2020, in preparation). Twenty-seven percent of the clusters fall in this outlier category using this method of comparison. Hence, to reiterate, while there are some important differences, the overall agreement between the ages from Hα-LEGUS and LEGUS is actually fairly good.

In Section 7, we find that the mass and age distributions based on the Hα-LEGUS and LEGUS catalogs give similar results, despite the differences discussed in this section. This demonstrates that the mass and age distributions are fairly resilient to the detailed differences in age dating.

4.3. Age Results from Different Filters, Reddening Assumptions, Models, and Metallicities

In this section, we assess the impact that different combinations of filters, different assumptions for reddening, different SSP models, and different assumed metallicities have on the results; we consider each parameter in turn.

4.3.1. Impact of Using Different Filter Combinations

So far, we have focused on the effects that different assumptions about reddening can have on age dating clusters in NGC 4449. However, an equally important effect (actually more important in dusty galaxies, where one cannot assume minimal reddening) is the use of Hα in the SED fitting of young cluster populations, to help break the age/extinction degeneracy. We focus on that question in this section.

We note that it is just as important to know if there is no line emission as it is to measure the line emission when it is present. For example, this is one way to distinguish between young and old clusters in the prominent chimney in Figure 11. We also examine the relative importance of including the UV and U filters in this section.

Here, we examine only the impact on the results from different combinations of filters by rerunning the age dating using the same input photometry, fitting code, and SSP model (Z = 0.004 from Bruzual & Charlot), and allowing EB − V as a free parameter in the fit, so that only the combination of filters is different.

In Figure 12, we compare the results between the following four filter combinations:

  • 1.  
    UV, UBVI, Hα (all six filters).
  • 2.  
    UV, UBVI (five filters, drop Hα).
  • 3.  
    UBVI, Hα (five filters, drop UV).
  • 4.  
    UV, BVI, Hα (five filters, drop U).

Given four sets of results, six comparisons can be made. The main result, which appears in three of the six panels, is that dropping the Hα filter has the strongest impact on the age results. The other panels show that dropping a broadband filter, such as the UV or U band, but keeping Hα does not significantly impact the age results compared with all six filters.

Figure 12.

Figure 12. Comparisons of log age estimates using all combinations of filter choices discussed in Section 4.3.1. This shows that dropping the Hα filter has the largest effect on the resultant age estimates, i.e., large "chimneys" are present in all the panels involving combinations where Hα is dropped.

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We also note the similarity between Figure 11 and the three panels in Figure 12 that include the "drop Hα" filter combination. This demonstrates that one of the primary causes of the difference in Hα-LEGUS and LEGUS age estimates is the inclusion of the Hα filter. The other primary difference is the treatment of reddening. After inspecting clusters visually, we confirm that the presence or absence of line emission is important for accurate age dating.

Based on these figures and the differences between the Hα-LEGUS and LEGUS age results discussed in detail in Section 4.2, it appears that adding a measure of the line emission is much more powerful for age dating star clusters in star-forming galaxies than adding another broadband filter at short wavelengths. Both the UV and the U band appear to work equally well for age dating clusters.

4.3.2. Impact of Different Reddening Criteria

After the combination of filters, the next strongest effect in our age-dating procedure comes from our new assumption that reddening only affects cluster colors for the first ∼10 Myr in the case of NGC 4449. As described in Section 4.1, our final cluster ages come from the best-fit combination of age and reddening in the regime log Age < 10 Myr, and from the best-fit zero reddening solution for older ages. We discussed the justification for this in Section 3.2, and in 5.1 we will show that this assumption leads to significantly better estimates for the oldest clusters, based on comparisons with spectroscopically determined ages.

In Figure 13, we compare our final Hα-LEGUS ages with those found when we allow values of E(B − V) < 0.75 at all ages in the left panel, and E(BV) = 0 at all ages in the right panel. When the reddening is allowed to be a free parameter at all ages, we see that some clusters are assigned younger ages because they are best fit with a combination that includes some reddening (those below the 1-to-1 line). We find that ∼14% of the clusters are significantly affected (at a level of 0.5 in log age or more) by this effect. The estimated ages of clusters with ages below 10 Myr are identical in this case, as expected. In the right panel, we see that the assumption of E(BV) = 0 has a very small impact on the estimated ages of clusters younger than 10 Myr.

Figure 13.

Figure 13. Comparisons of log age estimates using different assumptions about reddening.

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Overall, we find that both the addition of Hα photometry and applying a maximum E(BV) during age dating are important, and act primarily to prevent older clusters from being misclassified as younger ones. The age estimates of a similar number of clusters are affected in each case. There are, however, some differences. Including Hα in the age-dating procedure prevents older clusters with little reddening from erroneously being assigned a very young age (<10 Myr) plus high reddening. By itself, however, including Hα does not prevent older globular-like clusters from being assigned ages of ≈100 Myr. A more accurate estimate of the ages of these older clusters depends on restricting the maximum allowed value of E(BV), regardless of whether or not Hα is included in the fit.

4.3.3. Impact of Assumed SSP Model

We now explore how using different SSP models affects the results, using the same photometry, code (Chandar et al. 2010), metallicity (Z = 0.004 ), and set of filters (UV, UBVI). We retrieved the Yggdrasil models in 2019 from their website. These assume a covering fraction of 0.5, and are somewhat different from those used as part of the LEGUS project, which used a different interpolation scheme.

The results are shown in Figure 14, where we compare ages from the Bruzual & Charlot models (x-axis) and those from the Yggdrasil models (y-axis). There are more striations when using the Yggdrasil models, because of the lower age sampling. We also notice that, unlike the LEGUS results (but similar to ours when using the Bruzual & Charlot models), almost no clusters are assigned ages as young as log age = 6.0 when the Yggdrasil models are used in our fitting code. This suggests that the absolute age values assigned to the youngest clusters may vary between models and fitting methods.

Figure 14.

Figure 14. Comparisons of log Age estimates using different SSP models.

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Overall, we find that the results are fairly similar (with over 80% of the sources having estimated ages within a factor of three), but with some notable differences. There are two areas of the diagram where the ages deviate significantly: one where the Yggdrasil models give ages older by more than 0.5 in log τ or a factor of three (47 clusters), and one where the Bruzual & Charlot models give ages older by a similar amount (12 clusters).

In the cases where the Yggdrasil models give older ages, a visual inspection indicates that most clusters have blue colors, suggesting that they are quite young—consistent with ages of several Myr from the Bruzual–Charlot models, but inconsistent with the older log few × 10 Myr ages from the Yggdrasil models. This is likely related to the fact that the predicted colors from the Yggdrasil models at ages <10 Myr dip below the measured colors of very young clusters in NGC 4449.

4.3.4. Impact of the Assumed Metallicity

While we assume 1/4 solar metallicity for cluster age dating in NGC 4449, it has been suggested that half-solar may be a better match to the abundance of the current gas (Annibali et al. 2017). In Figure 15, we compare the results when the Hα-LEGUS age-dating procedure (with all six filters) is run with half-solar metallicity instead.

Figure 15.

Figure 15. Comparisons of log age estimates using different assumed metallicities.

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The results show that there is a tendency toward slightly younger absolute ages (by ≈0.1 in log Age) when our default metallicity Z = 0.004 is assumed, compared with the higher metallicity Z = 0.008. Note that the relative age estimates are similar for both metallicities. We find that only 25 out of 594 (∼4%) clusters have ages that differ by more than a factor of 2 or log age = 0.3. We conclude that, if subsolar metallicities are used, the exact value assumed for NGC 4449 has a relatively small impact on the age results.

In a similar way, it might be more realistic to assume an even lower metallicity for the old globular clusters; e.g., Annibali et al. (2018) estimate 1/10 solar. We would expect this to have an effect similar to our experiment comparing 1/2 and 1/4 metallicity (shown in Figure 15), but in the opposite direction.

4.3.5. Summary of Age Comparisons Taken One at a Time

To summarize this section: by using the same fitting code (Hα-LEGUS) and letting only one item vary at a time, we find that the addition of the Hα filter appears to be more important than the addition of UV photometry for breaking the age/extinction degeneracy when age dating a population of clusters in actively star-forming galaxies. Other effects, in order of importance for the case of NGC 4449, include assumptions about reddening, the choice of SSP model, and the adopted metallicity.

These differences in age-dating methods can lead to measurable systematic differences, as demonstrated in this section. However, we will find in Section 7 that overall they have relatively small impacts on the mass and age distributions.

5. Comparison with Independent Age-dating Methods

While it is useful to make comparisons between similar methods of age dating clusters, such as between Hα-LEGUS and LEGUS, it is equally important to make comparisons with completely independent methods, as we do in this section.

5.1. Comparing with Age Estimates from Integrated Spectroscopy

Age estimates from absorption lines measured from integrated, low-resolution spectra in the range 3200–10000 Å have been made by Annibali et al. (2018) for 11 clusters in NGC 4449, seven of which are in common with our sample. In Table 1, we compare the spectroscopic age estimates with those determined from LEGUS, Hα-LEGUS, and Annibali et al. (2011) (using integrated colors) results. In all cases, we find the Annibali et al. (2018) spectroscopic ages to be older than the photometric ages, and especially so for the first three LEGUS values. Two of the three discrepant clusters have no (UB) values in Table 1, indicating that they have only ACS BVI measurements (i.e., they are in the outskirts of the galaxy as seen in Figure 2). All of the Hα-LEGUS values in Table 1 are also below the Annibali et al. (2018) spectroscopic ages, but none by more than an order of magnitude. We also compare with integrated light age estimates using BVI from Annibali et al. (2011) in Table 1, finding better agreement with the spectroscopic ages, but still slightly lower values for the photometrically determined ages.

For LEGUS, the difference between the ages derived from integrated photometry and spectroscopy appears to be mostly due to the fact that the SSP fitting routine prefers the combination of a young age plus high reddening over an old age with low reddening. For Hα-LEGUS, the lack of detected Hα pushes the algorithm to an older age solution, although they are still lower than the spectroscopic age estimates. We also note that the well-known age–metallicity degeneracy affects the age estimates, because clusters with ages ≳Gyr generally have lower metallicities than the one assumed for younger clusters, resulting in ages lower sometimes by ∼0.6–0.7 dex than found via spectroscopy (the effect is significantly smaller at younger ages).

Comparisons between ages derived from LEGUS (including cases with only three filters, BVI, which is nonstandard for LEGUS and must be done with caution; i.e., only for clusters where there is no evidence of reddening), Hα-LEGUS, and Annibali et al. (2011) (using BVI integrated colors) are shown in Figure 16.

Figure 16.

Figure 16. Age estimate comparisons between: (left) LEGUS and Annibali et al. (2011) solutions; and (right) Hα-LEGUS and Annibali et al. (2011) solutions. Open symbols show clusters with only three or four filters (i.e., the outskirts without WFC3 UV or U observations) while filled circles are clusters with five or six filters. Values from linear fits for the slope, rms scatter, and offsets are provided in each panel.

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The comparison between LEGUS and the Annibali et al. (2011) models look very similar to the Figure 11 comparison between Hα-LEGUS and LEGUS, presumably because Annibali et al. (2017) assume that there is no reddening internal to NGC 4449 itself, similar to the assumption we make in the Hα-LEGUS method for log age > 7.0 clusters. This results in older age estimates for many of the clusters in both cases.

Indeed, the right panel comparison between Annibali et al. (2011) and the Hα-LEGUS method is quite good, with a slope near unity, small scatter (rms = 0.42), and a small offset (+0.13 mag). This follows the good agreement we found between Hα-LEGUS and Annibali et al. (2011) in the much smaller sample shown in Table 1.

A comparison of all the clusters in the Annibali et al. (2011) photometric study with the LEGUS sample shows that 16 of the 25 outliers (i.e., in the vertical chimney in the left panel of Figure 16) turn out to be clusters with only BVI measurements. However, the other nine clusters in the chimney do have measurements in all five filters, indicating that this problem is not caused exclusively by the lack of the U filter observations. All filter combinations (i.e., both the open and filled circles) are in agreement in the right panel comparison between Annibali et al. (2011) and Hα-LEGUS.

5.2. Comparing with Age Estimates from Color–Magnitude Diagrams

Recent papers by Sacchi et al. (2018) and Cignoni et al. (2018) provide another potential comparison with our cluster age estimates. These authors use the stellar component of NGC 4449 to determine star formation histories in several large regions in the galaxy. Their results are also used in Section 7 to help separate the effects of cluster formation and disruption. In the current section, we use the PSF-fitting photometry of resolved stars from the stellar catalog provided by Sabbi et al. (2018) to estimate ages for 10 each of the category  2 (asymmetric) and category  3 (compact associations) objects in our catalog using resolved stars. As can be seen from the color–color diagram in Figure 5, most of the category  1 clusters are older, and the individual stars are too faint to be detected. Consequently, this procedure was not attempted for category 1.

Given the extreme crowding conditions and the small size of these samples, we applied an isochrone fitting technique to the CMDs, instead of a full statistical derivation of the cluster SFH. Category 2 and 3 clusters that appeared to have extended halos of resolved stars were selected for this exercise. Stars within a radius of 20 pixels (=15 pc) of the objects were evaluated, using the cluster's appearance to help determine where most of the stars were likely to be associated with the cluster (i.e., the density was higher than the surroundings). There were typically about a dozen stars that appeared to be associated with a cluster. In some cases, especially in the outer annuli, it is likely that some of the stars are in the background rather than in the clusters. However, to the extent that stars in the surrounding region have the same age (i.e., they are both part of a larger association), this will generally give the same result. One of the primary concerns for this approach is the presence of blends, since many of these regions are very crowded. For this reason, it is only possible to provide upper or lower estimates in some cases.

Figure 17 shows an example of how the age dating is done using the CMD for compact association C3-3144-6144 (alias: cluster 401 in Table 2). Note the enhancement of nine blue stars on the left side of the upper panel (i.e., within a radius of 15 pixels). These are only compatible with the 5 or 10 Myr isochrones. The six stars to the right cover a variety of potential ages and are likely to be foreground or background stars. The bottom panel, consisting of the annulus just outside of 15 pixels, allows us to distinguish between the 5 and 10 Myr isochrones (assuming minimal reddening so the points do not move around much on the CMD) with two stars along the 10 Myr isochrone. Hence, this compact association is assigned an age of 10 Myr in Table 2.

Figure 17.

Figure 17. Example of CMDs used to estimate age of compact association c3-3144-6144 (alias: cluster 401) using the CMD method.

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Table 2.  Comparison between CMD and Hα-LEGUS Ages

ID log Age (CMD) log Age (Hα-LEGUS) x-pos y-pos R.A. Decl.
  (Myr) (Myr) (pix) (pix)
Cat = 2            
55 <7.48 6.70 5135.5 4059.0 187.05546 44.08153
60 >8.08 8.76 7520.6 4128.9 187.01891 44.08223
193 >8.11 8.41 4198.0 4953.4 187.06983 44.09136
334 >8.11 8.81 3206.6 5650.1 187.08502 44.09904
380 >7.70 8.01 3984.7 6000.9 187.07310 44.10290
414 >8.00 9.16 3099.1 6285.0 187.08668 44.10602
436 >8.00 10.06 4196.0 6494.7 187.06987 44.10834
442 <7.00 10.00 5079.0 6524.0 187.05633 44.10866
557 >8.23 10.30 7892.4 7382.3 187.01320 44.11810
587 >8.18 8.36 5931.0 8204.4 187.04327 44.12716
  mean = 7.89 +/−0.39 (rms) mean = 8.57 +/−1.14 (rms)        
Cat = 3            
87 <7.00 6.70 5321.0 4338.0 187.05262 44.08460
101 <7.00 7.18 6219.0 4436.4 187.03886 44.08569
171 7.30 7.30 5830.0 4838.2 187.04482 44.09011
190 >7.30 8.11 5974.9 4946.0 187.04260 44.09130
191 >7.60 7.16 5772.5 4948.1 187.04570 44.09132
312 7.40 7.42 5128.0 5503.4 187.05558 44.09743
401 7.00 8.96 3144.0 6144.0 187.08599 44.10447
413 <7.00 7.18 5798.0 6279.1 187.04531 44.10597
449 7.40 7.38 3920.3 6558.0 187.07409 44.10903
538 <7.30 6.70 4409.4 7230.0 187.06660 44.11643
  mean = 7.23 +/−0.22 (rms) mean = 7.41 +/−0.67 (rms)      

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The resulting comparisons with our Hα-LEGUS ages are shown in Figure 18. Keep in mind that some of the CMD estimates are upper or lower limits. While the scatter is relatively large for the comparison in some cases, it does appear that the CMD ages are compatible with our integrated light age estimates in general, and the approximate mean values (the X symbols in Figure 18) are in fairly good agreement. Note that the mean values are calculated without taking into account the fact that many of the points are upper and lower limits. The mean position, (i.e., the "X") would almost certainly be closer to the one-to-one line in the left panel if estimates without upper and lower limits could be made, since there are eight lower limits and only two upper limits.

Figure 18.

Figure 18. Comparison between ages determined by CMD and the Hα-LEGUS method for category 2 and 3 objects. The X marks the location of the means for the distributions. Arrows show which data points are upper and lower limits, as listed in Table 2. Snapshots show examples of high, middle, and low points.

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A careful examination of the snapshots in Figure 18 provides important insights into the age dating for both methods, and the classification of category 2 (asymmetric clusters) as compared to category 3 (compact associations). The two images on the left of each panel have diffuse weak emission-line flux (the green color), and hence are given slightly younger ages using the Hα-LEGUS method. The two snapshots close to the one-to-one line have no emission and no dominant red stars. The agreement between the two methods is very good in theses cases. The right snapshot in the right panel shows a case where two very bright red supergiants have misled the integrated light measurement into considering them an older cluster. However, these can be well fit as evolved stars with young ages in the isochrone fitting algorithms (i.e., this is cluster 401 shown in Figure 17 and discussed above). This is a good example of the effects of stochasticity for clusters/associations with masses less than a few ×103 Msolar (e.g., see Fouesneau et al. 2012), as discussed in Section 3.3.

The upper right snapshot in the Category 2 (left) panel shows a case where the CMD age estimate is probably uncertain due to the presence of faint foreground/background stars, and the true age is much older than the CMD estimate of log age = 8.2. In fact, both Annibali et al. (2011) (integrated light) and Annibali et al. (2018) (spectra) consider this object to be an old globular cluster with log age >10 Gyr, as does our Hα-LEGUS determination. Note that in Table 2, that this object is only assigned a lower limit (i.e., >170 Myr) by the CMD method.

A similar comparison between CMD and integrated light age estimates was performed by Larsen et al. (2011) for relatively nearby, partially resolved clusters in NGC 1313, M83, and three other galaxies that are at similar distances to NGC 4449. As here, there was reasonably good agreement between the two methods of estimating ages, although crowding was identified as a primary difficulty.

While estimating CMD ages for clusters and compact associations is inherently difficult at the distance of a few Mpc, it is reassuring that the mean ages are in reasonably good agreement with the mean ages from our integrated light determinations, as shown in Figure 18. Although the scatter is large, we note that 16 of the 20 points are within 1 dex of the one-to-one line.

5.3. Comparing with Age Estimates from H ii Regions

Sokal et al. (2015) have used a combination of optical and infrared observations (i.e., Spitzer IRAC 3.6 μm, 4.5 μm, 5.8 μm, and 8.0 μm observations, along with Herschel Space Telescope observations) of the giant H ii region S26 (a strong thermal radio continuum source and the brightest object in our Region 7—a snapshot of this object is shown in the bottom right panel, on the left side, of Figure 5) and estimate an age of 3.1 ± 0.3 Myr for this object. The region has strong Wolf–Rayet features, which are consistent with this age estimate.

The LEGUS age estimate for S26 is 3.0 Myr, whereas the Hα-LEGUS age estimate is 5.0 Myr. There are a total of eight objects in Region 7, all with fairly similar age estimates. The LEGUS age estimates range from 1.0 to 5.0 Myr, with one outlier at 15 Myr. The Hα-LEGUS ages are all between 3.0 and 5.2 Myr. Reines et al. (2008) have estimated ages for 11 H ii regions in NGC 4449, all in the range 2–6 Myr. We conclude that the age estimates for H ii regions from both LEGUS and Hα-LEGUS are in quite good agreement with those from H ii regions in NGC 4449.

We also note that Sokal et al. (2015) estimate a reddening value of E(BV = 0.13 mag for S26, in good agreement with the values discussed in Section 3.2 for regions with strong Hα. This measurement is also compatible with earlier optical studies of S26 and other H ii regions in NGC 4449 by Reines et al. (2008, 2010).

6. The Specific Luminosity, (TL), in 25 Regions

Having improved our age estimates as described above, in this section we measure the fraction of light, TL, coming from clusters relative to the total light within 25 regions within NGC 4449. This quantity was first measured in the U band for young cluster systems in 21 nearby star-forming galaxies by Larsen & Richtler (2000), and is defined TL = 100 × Lclusters/Lgalaxy. It is sometimes called the specific luminosity. Here, we measure the fraction of light in the three available broadband filters (F435W, F555W, F814W) from the ACS observations, which cover the largest FOV in the galaxy (see Figure 2).

Figure 1 shows the 25 regions in NGC 4449 that are used to measure TL. These are color-coded based on their appearance, with red for regions that appear to be dominated by older clusters, yellow for those of intermediate age, and blue for regions dominated by young clusters and compact associations. The youngest regions are easily identified by their green color in Figure 1, which is due to the presence of nebular line emission (i.e., Hβ, [O iii] 5007, [O iii] 4959) from H ii regions in the F555W filter. Most of the regions appear to be dominated by a stellar population with a particular age (for example, the outer regions have very little star formation and only old clusters), with the exception of region 17 (the nuclear region) and region 24, which clearly have a mix of both young and old clusters. We assign an "age" to each region from the average value of log age of all clusters in the box; this value is given in Table 3 for each region in Figure 1.

Table 3.  Comparison of log Age Values for Regions

Reg. # # Clusters log Agea Sigma log Agea Sigma log Age Sigma log RL(st)b,c TL(st)b log RL(tot)b,c TL(tot)b
    Hα-LEGUS   LEGUS   Annibali et al. (2011)  
    (yr [median]) (yr) (yr) (yr) (yr and #) (yr)
1 4 9.19 [9.14] 0.17 7.64 1.23 9.16 (1) −1.27 0.035 −1.70 0.094
2 2 9.34 [9.34] 0.08 6.77 0.10 9.70 (2) 0.21 −1.21 0.017 −1.54 0.036
3 12 6.72 [6.70] 0.16 6.55 0.27 7.92 (1) 0.22 0.119 0.16 0.137
4 4 7.27 [7.16] 0.67 7.00 0.00 −0.25 0.079 −0.34 0.097
5 2 9.98 [9.98] 0.47 8.41 2.31 −1.32 0.007 −1.65 0.015
6 4 9.54 [9.38] 0.52 7.48 1.71 9.93 (2) 0.06 −1.13 0.072 −1.28 0.101
7 13 7.24 [7.18] 0.22 6.86 0.20 0.32 0.276 0.14 0.413
8 22 7.45 [7.38] 0.26 6.94 0.27 0.19 0.064 −0.04 0.109
9 12 7.14 [7.16] 0.83 6.64 0.36 −0.03 0.180 −0.07 0.199
10 5 8.35 [8.61] 1.43 7.73 1.60 8.89 (3) 1.83 −1.01 0.090 −0.286 0.017
11 20 7.53 [7.18] 1.09 6.83 0.65 9.18 (1) −0.13 0.057 −0.32 0.089
12 8 7.21 [7.18] 0.79 6.87 0.85 −0.17 0.057 −0.31 0.078
13 20 8.08 [8.28] 0.86 7.54 0.87 8.41 (2) 0.01 −0.48 0.096 −0.70 0.159
14 11 8.94 [8.76] 0.58 8.55 0.70 9.66 (3) 0.48 −0.85 0.064 −0.71 0.046
15 73 7.53 [7.46] 0.60 7.10 0.43 8.00 (5) 0.75 0.22 0.135 −0.04 0.226
16 13 8.62 [8.66] 0.23 7.92 0.66 8.51 (4) 0.03 −0.56 0.071 −0.52 0.065
17 31 7.87 [8.06] 0.75 7.22 0.66 8.81 (8) 0.43 0.42 0.232 0.39 0.249
18 8 6.88 [6.72] 0.23 6.63 0.19 −0.15 0.183 −0.26 0.237
19 38 7.44 [7.18] 0.68 6.93 0.56 6.76 (4) 0.07 0.45 0.090 0.25 0.142
20 18 8.09 [8.04] 0.73 7.46 0.73 7.89 (3) 0.81 −0.17 0.050 −0.36 0.078
21 2 8.14 [8.14] 1.36 7.59 1.26 6.70 (1) −0.02 0.127 −0.23 0.205
22 16 8.53 [8.78] 0.82 7.38 0.92 9.67 (5) 0.47 −1.02 0.100 −1.03 0.103
23 26 8.37 [8.38] 0.71 7.37 0.76 8.33 (4) 0.20 −0.70 0.064 −1.24 0.224
24 6 7.70 [7.54] 1.11 7.11 0.96 9.86 (1) −0.80 0.198 −1.00 0.313
25 2 7.18 [7.18] 0.00 6.78 0.00 −0.24 0.051 −0.35 0.066
    mean = 8.01 = 0.61 = 7.25 = 0.73 = 8.67 = 0.45

Notes.

aValues in italics show values discrepant by more than 1.5 from Annibali et al. (2011). bValues of log RL and TL are for F435W. Values for F555W and F814W are available on request. cValues for the specific region luminosities (i.e., log RL) are on the same relative scale for both (stars) and (total).

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For the cluster component, we sum the luminosity of all the detected clusters within each region, where an average aperture correction has been applied to the photometry of the cluster. We find that there is no significant change to our results if a size-based aperture correction is used to determine cluster luminosities instead (see also Cook et al. 2019). For the stellar component, we use two different methods; the first is to add the luminosity from the individual stars from the stellar catalog provided by Sabbi et al. (2018) and available at https://archive.stsci.edu/prepds/legus/photometric_catalogs/ngc4449.html and divide by the area of the region. Thus, we provide an estimate of the specific region luminosity determined from individual stars, which will be denoted RL(star).

The second method is to estimate the total luminosity of the region from the broadband image, not just from detected stars in the stellar catalog. This is again divided by the area of the region to provide an estimate of the specific region luminosity from the total luminosity, and will be called RL(total), as discussed in the next section. Table 3 includes our determinations of RL and TL via both the stars method and the total method.

Figure 19 shows our estimates of the fraction of light in clusters in the three different filters, TL(F435W) (top panels), TL(F555W)(middle panels), and TL(F814W) (bottom panels) versus specific region luminosity, in this case determined by adding up the flux from individual, detected stars in the region [i.e., RL(stars)]. The left set of panels are restricted to category 1 and 2 clusters only, while the right panels include categories 1, 2, and 3. As discussed in Section 2.1, category 3 sources tend to be young, are the most difficult to select, and our source list for this type of object is likely incomplete. The different symbols show regions with different ages, as found in Table 3.

Figure 19.

Figure 19. Plot of the fraction of light in clusters, TL, vs. specific region luminosity, RL(stars), for three filters. Left panels show the results for the category 1 + 2 subsample, while right panels show the results for the category 1 + 2 + 3 subsample. Open circles are for regions with Hα-LEGUS values of log age > 8.5; filled squares are for regions with 8.5 > log age > 7.5; open triangles are for regions with log age < 7.5, based on Table 3.

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All panels in Figure 19 show increasing trends for TL values with specific region luminosity; the correlation is strongest for the F438W (B) filter and when category 3 objects are included. Correlations are found with significance ranging from 2.7 to 3.0σ for the Cat =1 + 2 fits, and 4.3–5.9σ for the Cat =1 + 2 + 3 fits.

Our results are similar to the original results from Larsen & Richtler (2000) for spiral galaxies, and to those from Billett et al. (2002) for dwarf galaxies, since we also find higher values of TL(λ) for regions with higher luminosities. However, we can take our results one step further. As shown in Figure 20, by breaking the sample into regions dominated by clusters of different ages, we see that there is a correlation between TL and log age.

Figure 20.

Figure 20. Plot of the fraction of light in clusters, TL [using RL(stars)], vs. mean log age of the clusters in the 25 regions shown in Figure 1. The similarity with Figure 19 demonstrates that specific region luminosity and log age are closely related.

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These results are also similar to results found for Γ, the fraction of stellar mass in clusters, at different ages, but considering entire galaxies (Chandar et al. 2017). For eight galaxies that span a wide range of SFR and ΣSFR, they found that Γ for the youngest $\lesssim 10\,\mathrm{Myr}$ clusters has a typical value of ≈24 ± 9%, which drops to Γ ≈ 2 ± 1% by a few hundred Myr. In fact, the values of Γ and TL are quite similar, ranging from ≈20% to 30% for the youngest regions to just a few percent for the oldest regions. Hence, the strong apparent correlation between TL and specific region luminosity, RL, is likely due to the fact that regions dominated by older clusters tend to be fainter than regions dominated by young clusters, because the decrease in Γ, or TL, is a natural result of the destruction of the clusters with time.

The correlations with age in Figure 20 are similar to or slightly stronger than in Figure 19. Correlations are found with significance ranging from 2.5 to 2.9σ for the Cat =1 + 2 fits and 4.3 to 6.8σ for the Cat =1 + 2 + 3 fits. Hence, the correlations of TL with specific region luminosity, RL, and with log age are similar.

A correlation matrix analysis (using parameters TL, RL(stars), B and V magnitudes, reddening, BV, and age for the LEGUS star clusters of category 1 and 2) leads to a similar conclusion. The average Pearson correlation coefficients between TL and RL, and between TL and log age, are roughly the same, having values of about 0.6 in the former case, and 0.5 in the latter case.

As discussed earlier in this section, we use a second method to estimate the specific region luminosity as a check on these results, since it is possible that that we have significantly underestimated the total luminosity by only including detected stars and excluding stars in very crowded regions. Within each region, we estimate the total counts as follows. We determine the mean pixel value, subtract off the background level, then multiply by the total number of pixels, and then divide by the area of the region. We make the assumption that the number of background pixels dominates over those that have individual sources, and therefore adopt the median pixel value as the background level. In the inner region, the "background" probably includes many old red stars from the bulge component. Hence, our total counts estimate should be thought of as representing the dominant younger stellar population.

Figure 21 shows that the two methods lead to relatively similar results. Both show clear trends between TL and log age, as shown by the two linear fits. However, since the scatter is relatively large, the correlation over smaller time spans (e.g., less than log age = 8) is uncertain.

Figure 21.

Figure 21. Plot of the fraction of light in clusters, TL, vs. mean log age for the F435W filter. Open circles show the results when TL is determined using the specific region luminosity based on the pixel values (i.e., RL(total); the solid circles show the results when TL is determined using specific region luminosity based on the luminosity of the stars from the stellar catalog (i.e., RL(stars). Linear least-squares fits to the two distributions are included. The best estimate is probably between the two lines, as discussed in the text.

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A possible complication is that the mass-to-light ratio for stars changes as they age, which may contribute at some level to the correlation shown in Figure 20. However, this will happen for both the cluster population and the field star population (much of which comes from disrupted clusters), so this effect should largely cancel out. The fact that similar correlations are seen in all filter bands, including F814W, also suggests that this is not a major issue.

Different cluster completeness levels between the old and young regions might also cause some of the correlation. As we will see in the next section, clusters with ages less than 10 Myr can be detected over three decades in log mass, from 103–106 solar masses, while clusters with ages around 1 Gyr are only complete over two decades in log mass, from 104–106 solar masses. For a power law with index 2, (appropriate in the case of both mass and luminosity for clusters), each decade includes the same fraction of the total. Hence, the young clusters would be a factor of 1.5 (i.e., three decades compared to two decades) more complete than the older clusters. Because the average value of TL is ≈ 0.06 for clusters with ages of 1 Gyr in Figure 21, a completeness correction would increase the value to about 0.09; still well below the value of TL ≈ 0.20 for clusters with ages around 10 Myr.

Another possible complication is the fact that the clusters and stars that form in a given region will eventually move out of it. While this is likely to contribute minimally for very young populations, where the clusters will not have time to move out of the box, at some age it will become more important. We can estimate this age by assuming an average random velocity of ∼3 km s−1 (Massey et al. 1995). This would allow a typical cluster to move a distance equal to the radius of an average region (≈300 pc for the intermediate-age regions) in about 100 Myr. For much older populations (e.g., several Gyr), essentially all of the stars and clusters will have moved out of the box they were born in, but other stars and clusters formed at approximately the same distance from the galaxy center will have moved in. Therefore, regions dominated by old clusters and stars should not be significantly affected.19 Hence, while the effect may be present for some of the intermediate-age regions in our sample (e.g., 21, 23 with log age ≈ 8.5), it should not dominate in general. As argued above, these motions will have little impact on regions dominated by young or by old stars, which are the primary driver of the observed trend for TL with age.

7. General Cluster Properties in NGC 4449

7.1. Cluster Mass Functions

In Figure 22, we present the mass–age diagrams of the clusters in NGC 4449. The upper panels show our results for categories 1 and 2 (left) and categories 1, 2, and 3 (right), using the Hα-LEGUS age estimates. The bottom panels show the results when using the LEGUS age estimates. The similarity in the diagrams shows that even with fairly important differences in the age-dating procedures, as discussed in Section 4, the resulting changes in the mass and age distributions are likely to be relatively small. This result is confirmed when comparing the slopes in the mass and age functions, as discussed below.

Figure 22.

Figure 22. Mass–log age diagrams for two subsamples (i.e., category 1 + 2 on the left; category 1 + 2 + 3 on the right), and using both the LEGUS (bottom) and the Hα-LEGUS (top) age-dating methods. Solid line shows the estimated 50% completeness limit. Dotted lines show the limits used to make the age and mass functions. Points that are circled in upper left panel are from added clusters, as discussed in Section 2.1. Note the apparent enhancement in the number of clusters with log age values between 8 and 9 in upper left panel, consistent with the apparent enhancement in the color–color diagram (Figure 5). This is discussed in more detail in Section 7.3.

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The points that are circled in the upper left panel are from added clusters, as discussed in Section 2.1. We note that only four of the added clusters are massive enough to be included within the limits used to construct the mass functions and age distributions, which are shown by the dotted lines in Figure 22.

As is generally the case, the mass function of star clusters can be approximately described by a power law, ψ(M) ∝ Mβ. In Figure 23, we show the mass functions using Hα-LEGUS ages for category 1, 2, and 3 clusters in the top panels, and for category 1 and 2 in the bottom panels, divided into three different age intervals: <10 Myr (left), 10–100 Myr (middle), and 100–400 Myr (right). The distributions have an equal number of clusters in each bin, as recommended by Maiz Apellaniz & Ubeda (2005), and are not sensitive to the exact number used.

Figure 23.

Figure 23. Mass functions for two subsamples (i.e., category 1 + 2 on the top; category 1 + 2 + 3 on the bottom) and three age ranges, as defined in the figure. Hα-LEGUS ages are used for all panels. After eliminating the low and high values, the mean value of β, the slope of the power law, is −1.86, similar to values found in many other studies.

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The best-fit values for β are mostly between ≈ −1.7 and −2.1. The mean value after the high and low values are removed is β ≈ −1.86. If LEGUS ages are used instead of Hα-LEGUS ages, we find values β ≈ −1.9, identical to those found by Cook et al. (2019) for the composite LEGUS dwarf sample, which includes NGC 4449.

The results for β for the different age intervals are mostly similar within the uncertainties, indicating that there is no apparent change in the shape of the mass function over the age–mass ranges studied here. The mass function for cat = 1 + 2 clusters with ages log age = 7–8 appears a bit flatter, but this is the range where the biases in the age dating are strongest, and small number statistics are also playing a role.

We have also checked the mass function of clusters in three different radial bins: Rgc < 1.06 kpc (47''), 1.06–1.82 kpc (47–97farcs5), and Rgc > 1.82 kpc (>97farcs5). Although the statistics are poor in some cases, the mass function in the different radial bins and in the three age ranges studied above, are also described reasonably well by a single power law with an index β ≈ −2, i.e., there is no clear trend as a function of radius.

A number of studies have reported that the upper end of the cluster mass function drops off compared with a power law (e.g., Gieles et al. 2006; Larsen et al. 2011; Johnson et al. 2017; Messa et al. 2018), and that this upper mass cutoff may correlate with the SFR of the host galaxy (Johnson et al. 2017). However, Mok et al. (2019) applied a maximum likelihood fitting method to the cluster population in NGC 4449 and did not find evidence for a cutoff mass, consistent with the distributions shown here in Figure 23.

7.2. Cluster and Star Age Distributions

The mass–age diagrams in Figure 22 give a preview of the cluster age distributions. If the age distribution was flat (i.e., a power-law slope ≈0), as for the hypothetical case where clusters formed at a constant rate and none were disrupted, there would be a factor of 10 more clusters in a given mass interval for each full dex in log age, because the bin size is a factor of 10 larger for each dex. This would result in a strong horizontal gradient (at a given value of log mass) in Figure 22. However, we find that the horizontal gradient in log age is relatively uniform, which would suggest a decline in the age distribution by roughly a factor of 10 for each decade of log age to compensate for the larger bins. This corresponds to a slope in the age distribution, when fit with a power law, of ≈−1; see Figure 3 of Whitmore et al. (2007) for a graphic illustration. There does appear to be a slight enhancement of clusters around an age of a few 100 Myr, however, which will be discussed in Section 7.3.

Plots of the age distributions of star clusters (i.e., dN/dτ diagrams) are constructed by counting clusters in equal bins of log τ from clusters within a given mass range. These can be described by a power law, χ(τ) ∝ τγ. In Figure 24, we present the cluster age functions for category 1, 2, and 3 (right panels), and for category 1 and 2 only (left panels), in three different mass ranges, being careful to stay above the completeness limits, which are shown in Figure 22.

Figure 24.

Figure 24. Age distributions for two subsamples (i.e., category 1 + 2 on the left; category 1 + 2 + 3 on the right), using the Hα-LEGUS age-dating method. The values of γ, the slope of the power-law fit to the age distribution, are relatively stable for all subsamples, ranging from −0.74 to −0.95, with a mean of −0.85 ± 0.15. There is no apparent dependence on mass.

Standard image High-resolution image

All of the distributions decline more-or-less continuously, (although there is some evidence for an enhancement around a few hundred Myr, as mentioned above), with γ values between −0.74 and −0.95, i.e., around −1 or slightly flatter, as expected because the horizontal gradient is relatively uniform in Figure 22. This decline is approximately independent of the mass of the clusters, since the fits in different mass ranges are within the uncertainties. Given the range presented here, we find γ = −0.85 ±0.15, very similar to the result found by Rangelov et al. (2011). We have checked, and find a similar value of γ for the NGC 4449 cluster catalog published by Cook et al. (2019).

Overall, we find that the shape of the age distribution of clusters in NGC 4449 appears to be similar regardless of the exact method used to select the clusters or the specific age intervals used in the analysis. Making similar fits using the LEGUS rather than the Hα-LEGUS ages results in γ values between −0.62 and −1.02, with a mean of −0.82 ± 0.17, very similar to the value of −0.85 using Hα-LEGUS ages. Hence, even though differences in detail can be seen in the four mass–age diagrams in Figure 22 (i.e., using subsamples with different categories or age-dating methods), the slopes of the age distribution derived from the data are relatively resilient. If we limit the sample to only category 1 clusters from the Hα-LEGUS catalog, the slopes are slightly shallower, with values between −0.60 and −0.69 and a mean of −0.66. The shallower slopes are due to the large number of category 1 objects with ages in the range of roughly a few hundred Myr (resulting from an enhancement in formation), as seen in Figure 5 and discussed in Section 7.3.

An observed logarithmic cluster age distribution with an index of −0.85 indicates that clusters are destroyed at a rate of (1−10−0.85× 100 = 86% each decade of time, similar to the results for a number of spiral, merging, and dwarf galaxies (Whitmore et al. 2007; Chandar et al. 2010; Bastian et al. 2012, Fall & Chandar 2012, Cook et al. 2019). We note, however, that some works have found significantly flatter age distributions as well (e.g., Silva-Villa & Larsen 2011, Fouesneau et al. 2014; Mora et al. 2009) for other galaxies.

We have examined the age function of clusters in three different radial bins: Rgc < 1.06 kpc (47''), 1.06−1.82 kpc (47−97farcs5), and Rgc > 1.82 kpc (>97farcs5), using two different mass ranges, categories 1 + 2 + 3, and excluding the youngest data point because there are very few clusters in most of the samples for this bin. The resulting values of γ range from an average of −0.89 ± 0.07 for the central region, to −0.96 ± 0.09 for the intermediate region, to −1.13 ± 0.24 in the outer region. Thus, there are no clear trends for the slopes of the age distributions to vary with radius from the center in NGC 4449, although we note that the statistics are fairly poor when breaking the sample into these smaller subsamples.

The observed cluster age distribution is the product of the formation and disruption histories of the clusters. In order to determine the cluster disruption history, we need independent information about the formation history, i.e., has the formation rate been relatively constant during the relevant period of time, as is generally assumed? The stellar formation history of NGC 4449 has been determined from the LEGUS data, as described in detail in Sacchi et al. (2018), and is a possible proxy for the cluster formation rate under the assumption that star and cluster formation track one another closely. Chandar et al. (2017) find that this is a good assumption for the eight galaxies examined in that paper, for example.

In Figure 25, we show the composite SFH of the galaxy, as well as the history in the three different galaxy radii defined above. While there is a modest enhancement in the SFH in the last 10 Myr, resulting in NGC 4449 being known as a starburst galaxy, beyond 20 Myr there is no systematic trend for the SFR to increase or decrease over the past several hundred Myr. A fit to the total SFH beyond 20 Myr, which is the focus of the current discussion, gives a power-law index of γform ≈ 0.49 ± 0.56, i.e., broadly, the formation rate is essentially flat, without any systematic increases or decreases over the last several 100 Myr.

Figure 25.

Figure 25. Comparison between the star formation histories derived from stars and those from clusters. Stars are represented by the histogram, showing an extraction of three regions used in this study, based on data from E. Sacchi et al. (2017, private communication). Clusters are represented by the dots, using the Hα-LEGUS ages and the category 1 + 2 subsample for this comparison. Top panel shows the results for the total sample, while the next three panels below show the results for the inner to outer thirds of the sample. Cluster age distribution has been divided by the mean slope (i.e., γ = −0.85) to remove the effects of disruption for this comparison, since the primary goal is to measure the enhancement in the age range 100–300 Myr. The two distributions are normalized using the log age = 7.5 and 8.7 points.

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Hence, with the assumption that the stellar and cluster formation rates track each other, this means that the observed age distribution, with γ = −0.85, primarily reflects the disruption history of the clusters. There are, however, some variations at the factor of ≈2–3 level in the SFRs over shorter time intervals. In particular, we note the enhancement that occurred a few hundred Myr ago, for both the stellar and cluster populations. This will be discussed in more detail in the next section.

7.3. An Enhancement in the Star and Cluster Formation Rates a Few Hundred Myr Ago

Here, we estimate the level of enhancement in the star and cluster formation rate a few hundred Myr ago. As discussed in Section 2, there is evidence that NGC 4449 had an interaction with one or more companions roughly 100–500 Myr ago (Hunter et al. 1998, 1999; Theis & Kohle 2001; Karachentsev et al. 2007; Martínez-Delgado et al. 2012; Rich et al. 2012), probably resulting in the enhanced star and cluster formation rates. The enhancement in the cluster population is seen in the color–color diagram (i.e., the category 1 clusters in Figure 5) as well as the mass–age diagrams (Figure 22), and therefore is not due to systematic biases in the age dating or to binning.

The SFHs determined from independent data sets by McQuinn et al. (2010) and Sacchi et al. (2018) for NGC 4449 both show a similar enhancement in the rate of star formation a few hundred Myr ago, although there may be differences in the exact timing of the enhancement.

Figure 25 shows both the SFH, which is based on the analysis of individual stars from Sacchi et al. (2018) but extracted for the radial bins discussed in Sections 7.1 and 7.2, and the cluster formation history, which is based on the data in Figure 24. To obtain the cluster formation history, we divide the observed cluster age distribution by the best-fit, smooth power law (i.e., γ = −0.85), to remove the effects of disruption. This leaves behind variations in the cluster formation history. We repeat this procedure for age distributions with three different bin widths (0.4, 0.5, and 0.6 in log age), and for two different sets of bin centers, for a total of six realizations. Each one shows an enhancement in the cluster formation history, which range from factors of ≈1.5–4, around ages of ≈ few × 100 Myr. The mean value for these six realizations is a factor of 2.2 ± 0.7.

An enhancement is also seen in the SFH at similar ages, with a mean value of 1.8 ± 0.6 when comparing the three radial bins in the time range from 100 to 300 Myr, normalized by the two adjoining ranges (i.e., 30–100 Myr and 300–1000 Myr). If only the two inner bins are used, which might be more appropriate because there is no apparent recent star or cluster formation in the outer regions of the galaxy, the enhancement for the stars is 2.1 ± 0.4, even closer to the estimate for clusters. Hence, while the statistics are relatively poor, there does appear to be some evidence for similar levels of enhancement for both the clusters and stars in the range 100–300 Myr old. This suggests roughly constant values of TL and (presumably) Γ as a function of increasing SFR.

There are few galaxies where direct comparisons between the star and cluster formation histories have been made. Two of the most promising galaxies for such studies are the Small and Large Magellanic Clouds. Although not yet definitive, recent studies of the cluster populations suggest that there was an enhancement in the populations ≈few × 100 Myr ago (e.g., Glatt et al. 2010; Bitsakis et al. 2017, 2018), during the time of the last closest approach. The star formation histories of both galaxies also show an enhancement around this same time period (e.g., Harris & Zaritsky 2004, 2009), although the strength of the enhancement for the stars and the clusters is not yet well-determined. Future studies will be needed in order to determine if these enhancements had similar strengths.

We note that the precision of the cluster (and stellar) age dating does not allow us to quantify the duration of the enhanced formation period very well. It might be an enhancement of a factor of 2 over the period from 100 to 300, or a factor of 20 enhancement over a 20 Myr old period around 200 Myr ago. The main conclusion here is that we observe an enhancement in both the star and cluster formation rates in NGC 4449 at a similar factor of ~2–3 level, a few hundred Myr ago. Hence, it appears that the cluster and stellar formation rates are closely related, and that TL and (presumably) Γ are relatively constant during the burst.

Figure 26 shows a portion of NGC 4449 (region 16 and slightly to the west; see Figure 1) where nearly all of the clusters formed during this burst (i.e., 18 of the 22 clusters in this region have log age in the range from 8 to 9 Myr). Region 23 and just eastward, on the opposite side of the nucleus at a similar distance, shows a similar distribution with 29 of 40 clusters in the log age = 8–9 age range. No other regions show such a clear enhancement over this time period. This suggests that the original plane of the galaxy interaction that caused the starburst a few Myr ago was probably oriented in roughly an east–west direction. A more detailed study of these two regions (i.e., determining the star formation histories) might provide a more statistically significant comparison between cluster and star populations during a burst.

Figure 26.

Figure 26. Clusters and ages for region 16 (and slightly to the west) from Figure 1, with images and symbols as defined for Figure 4. Note that 18 of the 22 objects have log age values in the range 8.0–8.8 (i.e., the burst discussed in Section 7.3). Region 23, on the opposite side of the nucleus, has a similar population of intermediate-age clusters.

Standard image High-resolution image

8. Conclusions

In this paper, we used data from the LEGUS (i.e., Calzetti et al. 2015) and Hα-LEGUS (R. Chandar et al. 2020, in preparation) projects to address a number of questions concerning the ability to accurately age-date star clusters, and to characterize the cluster population and its relationship to the stellar population in the starburst galaxy NGC 4449. The Hα-LEGUS catalog described in the current paper is described in Table 4, and is available online. Our main results are included below.

  • 1.  
    There is fair agreement between various age-dating methods (integrated light, spectroscopy, CMD, H ii regions), but also a systematic bias toward underestimating cluster ages when using integrated colors, especially for old (≈10 Gyr) globular clusters. This primarily results from the flexibility within the algorithms to trade off reddening and age to find the best-fit model. One way to mitigate this effect, at least for a galaxy with relatively little dust (such as NGC 4449), is to fix the reddening to be zero for clusters with ages greater than 10 Myr. While this method may slightly underestimate the reddening (and hence overestimate the age) in some cases, it results in ages that are much closer to those determined from absorption line strengths in integrated spectra (i.e., Annibali et al. 2018). Another way to mitigate much—but not all—of this effect is to only use age estimates with four or more filters, including a U or UV filter (i.e., the default in the LEGUS study). This was not possible in the outer parts of NGC 4449 for our study, due to the lack of UV or U observations.
  • 2.  
    Inclusion of Hα in the SSP fitting also helps mitigate the bias toward underestimating ages for integrated light age estimates, and provides the single most effective improvement when considering the effects of adding different filters (i.e., it is more effective than adding a U or UV filter). Other primary effects, in order of importance for NGC 4449, are assumptions about reddening, choice of the SSP model to use (i.e., Bruzual–Charlot or Yggdrasil), and metallicity.
  • 3.  
    Effects of stochasticity (i.e., the random inclusion of a red supergiant star in the aperture) for low-mass systems can affect the position in the color–color diagrams dramatically, and hence affect the age dating. Caution is therefore required when including low-mass systems. Setting limits to the maximum reddening allowed for the age-dating algorithm, or fixing the reddening at zero for older clusters for galaxies with low reddening, can help mitigate the effects of stochasticity. Other methods include taking a more probabilistic approach toward age dating (e.g., Fouesneau et al. 2012; Krumholz et al. 2015; Ashworth et al. 2017) or stacking the data for low-mass clusters (e.g., Hannon et al. 2019).
  • 4.  
    A correlation between the fraction of light in clusters (TL) and the specific region luminosity (RL) is found. This is similar to the finding by Larsen (1999) for entire galaxies. The underlying relation appears to be between TL and log age. This is consistent with the destruction of star clusters as a function of time, which varies as dN/ = τ−0.85 and hence is similar to the results from Chandar et al. (2015, 2017) for the fraction of mass in clusters (i.e., Γ) versus log SFR relation.
  • 5.  
    The mass and age functions in NGC 4449 are similar to other star-forming galaxies, both spirals and dwarfs (i.e., slopes of β = −1.86 ± 0.2 and γ = −0.85 ± 0.15, respectively), regardless of the details of the photometry and age dating. This supports the quasi-universal model explaining the demographics of star clusters (e.g., Whitmore et al. 2007; Fall & Chandar 2012). The mass and age distributions do not appear to depend on galactic radius (i.e., environment), although the low number statistics do not provide very stringent limits. The effects of the different age-dating methods discussed in items 1 through 3 above are relatively minor, i.e., the determinations of the mass and age functions are quite resilient.
  • 6.  
    A factor of ≈ 2–3 enhancement in both the cluster and SFRs is observed from 100 to 300 Myr ago, probably associated with one or more interaction events (i.e., Hunter et al. 1999; Theis & Kohle 2001; Karachentsev et al. 2007; Martínez-Delgado et al. 2012; Rich et al. 2012). This suggests that TL is roughly constant as a function of increasing SFR during a burst.

Future studies of other Hα-LEGUS galaxies will allow us to determine whether these results are typical of star-forming galaxies in general.

Table 4.  Measured and Derived Properties of Star Clusters in NGC 4449

Column # Units Label Description
1 Cluster Cluster IDa
2 pix Xpix x-coordinate
3 pix Ypix y-coordinate
4 deg RAdeg R.A., decimal degrees (J2000)
5 deg DEdeg Decl., decimal degrees (J2000)
6 mag F275Wmag WFC3/F275W magnitudeb
7 mag e_F275Wmag WFC3/F275W errorb
8 mag F336Wmag WFC3/F336W magnitudeb
9 mag e_F336Wmag WFC3/F336W errorb
10 mag F435Wmag ACS/F435W magnitudeb
11 mag e_F435Wmag ACS/F435W errorb
12 mag F555Wmag ACS/F555W magnitudeb
13 mag e_F555Wmag ACS/F555W errorb
14 mag F658Nmag ACS/F658N magnitudeb
15 mag e_F658Nmag ACS/F658N errorb
16 mag F814Wmag ACS/F814W magnitudeb
17 mag e_F814Wmag ACS/F814W errorb
18 mag CI Color Indexc
19 Nfilt Number of filters
20 Category Cluster categoryd
21 Qual Quality: 1 = good, 2 = poor
22 morph Hα morphologye
23 [yr] logAge log Age from Halpha-LEGUSf
24 MSun Mass Mass from Halpha-LEGUSf
25 mag E(B-V) E(BV) Halpha-LEGUSf
26 [yr] logAge-v1 log Age from LEGUS, version 1g
27 MSun Mass-v1 Mass from LEGUS, version 1g
28 mag E(B-V)-v1 E(BV) from LEGUS, version 1g
29 Added Added clustersh

Notes.

aObject 2 has been omitted because it was discovered to be a duplicate and removed without renumbering. bPhotometry in this file was measured in a five-pixel aperture radius and converted to the Vega system (zero points taken from the STScI webpage). A value of 99.999 is assigned when no data is available. No correction for foreground extinction or aperture correction is included. cConcentration index (CI) = mag(1px)–mag(3px) measured in the F555W frame. dCluster category: 1 = symmetric cluster; 2 = asymmetric cluster; 3 = compact association. eHα morphology (see text): 1 = right on top; 2 = ring or clearly associated; 3 = possibly associated; 4 = no Hα. fFor the recommended Halpha-LEGUS age/mass estimates (described in the text), we assume a distance modulus of 28.17 mag (4.31 Mpc) to NGC 4449; mass results assume an average aperture correction of −0.87 mag. gWe include the current best-fit values of age, mass, and E(BV) from the LEGUS project as well, but these may change with subsequent catalog releases. hAdded clusters: 0 = in original catalog, 1 = added (see text).

Only a portion of this table is shown here to demonstrate its form and content. A machine-readable version of the full table is available.

Download table as:  DataTypeset image

This work is based on observations made with the NASA/ESA Hubble Space Telescope, obtained at the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Inc., under NASA contract NAS 526555. These observations are associated with program #13364. R.C. acknowledges support from NSF grant 1517819. M.C. and M.T. acknowledge support from the INAF PRIN-SKA 2017 program 1.05.01.88.04. We thank Francesca Annibali for useful discussions. We also thank the referee for many useful comments that improved the paper.

Facility: HST. -

Footnotes

  • 17 

    Note that the LEGUS catalog used here adopted a somewhat different version of the Yggdrasil models than currently available. This results in only minor differences (most clusters have identical ages, and fewer than 7% have estimated ages that differ by more than a factor of two) and does not affect the age or mass distributions presented here.

  • 18 

    The ages are from version 1 of the LEGUS catalog release, and are included in our publicly available Hα-LEGUS cluster catalog.

  • 19 

    Dynamical friction is quite weak at the larger radii where we have defined "older" regions, so it should not have much impact on the locations of old clusters in the outer regions dominated by older stars.

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10.3847/1538-4357/ab59e5