DISK BRAKING IN YOUNG STARS: PROBING ROTATION IN CHAMAELEON I AND TAURUS-AURIGA

, , , , , and

Published 2009 April 8 © 2009. The American Astronomical Society. All rights reserved.
, , Citation Duy Cuong Nguyen et al 2009 ApJ 695 1648 DOI 10.1088/0004-637X/695/2/1648

0004-637X/695/2/1648

ABSTRACT

We present a comprehensive study of rotation, disk, and accretion signatures for 144 T Tauri stars in the young (∼2 Myr old) Chamaeleon I and Taurus-Auriga star-forming regions based on multi-epoch high-resolution optical spectra from the Magellan Clay 6.5 m telescope supplemented by mid-infrared photometry from the Spitzer Space Telescope. In contrast to previous studies in the Orion Nebula Cluster and NGC 2264, we do not see a clear signature of disk braking in Tau-Aur and Cha I. We find that both accretors and non-accretors have similar distributions of vsin i. This result could be due to different initial conditions, insufficient time for disk braking, or a significant age spread within the regions. The rotational velocities in both regions show a clear mass dependence, with F–K stars rotating on average about twice as fast as M stars, consistent with results reported for other clusters of similar age. Similarly, we find the upper envelope of the observed values of specific angular momentum j varies as M0.5 for our sample which spans a mass range of ∼0.16–3 M. This power law complements previous studies in Orion which estimated jM0.25 for ≲2 Myr stars in the same mass regime, and a sharp decline in j with decreasing mass for older stars (∼10 Myr) with M < 2 M. Furthermore, the overall specific angular momentum of this ∼10 Myr population is five times lower than that of non-accretors in our sample, and implies a stellar braking mechanism other than disk braking could be at work. For a subsample of 67 objects with mid-infrared photometry, we examine the connection between accretion signatures and dusty disks: in the vast majority of cases (63/67), the two properties correlate well, which suggests that the timescale of gas accretion is similar to the lifetime of inner disks.

Export citation and abstract BibTeX RIS

1. INTRODUCTION

One of the major outstanding issues in star formation theory is the regulation of angular momentum in young stars. The specific angular momentum of young single stars at ∼1 Myr is about 4 orders of magnitude lower than in molecular cloud cores, from which the stars formed, indicating efficient rotational braking in the early phases of stellar evolution (Bodenheimer 1995). In this context, a large number of studies have explored the connection between the presence of disks and rotation (Herbst et al. 2007).

Disk braking is defined here as a process that provides rotational braking based on magnetic coupling between the star and the disk. One possible theoretical scenario for disk braking is "disk locking," originally proposed for T Tauri stars by Camenzind (1990), Koenigl (1991), and Shu et al. (1994). In that case, the magnetic connection between the star and the disk produces a torque onto the star, transferring angular momentum to the disk (presumably, from where it is eventually removed by, e.g., magnetically driven winds). An alternative scenario for disk braking is stellar winds powered by accretion, as recently modeled by Matt & Pudritz (2005). For a more detailed overview of the theoretical work on disk braking, see, for example, the review by Matt & Pudritz (2008).

If disk braking is at work, we expect to observe three kinds of stars: slow rotators with disks, slow rotators without disks, and fast rotators without disks. This distribution corresponds to the following evolutionary sequence: while stars are coupled to their disks, they will rotate slowly; once stars lose their disks, they will continue to rotate slowly for some time but gradually spin up as they contract toward the main sequence, with some stars eventually becoming fast rotators. Thus, rapidly rotating stars with disks should not exist in an ideal disk braking scenario.

Observationally, the evidence for disk braking is confusing. Some photometric studies found a correlation between rotational properties and near-infrared color excess suggestive of disks (e.g., Edwards et al. 1993; Herbst et al. 2002), whereas others have not (e.g., Stassun et al. 1999; Makidon et al. 2004). The photometric monitoring program of Lamm et al. (2005) observed disk braking in ∼2–3 Myr NGC 2264, but with the effect less pronounced for low-mass stars. Recent studies using Spitzer mid-infrared observations of the ∼1 Myr Orion Nebula Cluster (ONC) and NGC 2264 support a disk-rotation connection: stars with longer rotation periods were found to be more likely than those with short periods to have IR excesses (Rebull et al. 2006; Cieza & Baliber 2007). However, the mid-infrared study by Cieza & Baliber (2006) of IC 348 did not find the preferential distribution of rotation with disk presence.

While both near-infrared and mid-infrared signatures indicate the presence of a dusty disk, they do not prove the coupling between star and disk as required by the disk braking scenario. To demonstrate a direct link between the inner disk and the central star, a better diagnostic for disk braking may be ongoing accretion. For strongly active accretors, rotation periods are difficult to determine since period measurements rely on the presence of stable starspot regions; therefore, period samples may be biased toward weakly accreting stars. In some respects, it is advantageous to use projected rotational velocity (vsin i) instead of rotation periods.

A recent spectroscopic study of disk accretion in low-mass young stars by Jayawardhana et al. (2006) found evidence of a possible accretion–rotation connection in the η Cha (∼6 Myr) and TWA (∼8 Myr) associations. All accretors in their sample of 41 stars were slow rotators, with vsin i ≲ 20 km s−1, whereas the non-accretors showed a large span in rotational velocities, up to 50 km s−1. However, given the small number of accretors, they caution that those results should be checked with larger samples. A larger study of solar-like mass stars in NGC 2264 by Fallscheer & Herbst (2006) found disk braking signatures in using UV excess indicative of accretion. For a review of recent observational studies on rotation and angular momentum evolution of young stellar objects and brown dwarfs, see Herbst et al. (2007).

As part of a comprehensive, multi-epoch spectroscopic survey, we present here a study of rotation and disk braking at ages of ∼2 Myr in the star-forming regions Taurus-Auriga and Chamaeleon I. This study comprises 144 stars, which significantly enlarges the previously available sample of spectroscopic data in those two regions (see the summary by Rebull et al. 2004 for currently available rotational data). From the spectra, we extract vsin i, and, as accretion indicators, the full width of Hα at 10% of the peak (hereafter, Hα 10% width) and Ca ii fluxes. We investigate the distribution of vsin i, estimate angular momentum values, and test for the signature of disk braking.

2. TARGET SELECTION AND OBSERVATIONS

We used 572 high-resolution optical spectra of 144 members in the ∼2 Myr old Chamaeleon I and Taurus-Auriga star-forming regions obtained with the echelle spectrograph MIKE (Bernstein et al. 2003) on the Magellan Clay 6.5 meter telescope at the Las Campanas Observatory, Chile. The data were collected on 15 nights during four observing runs between 2006 February and 2006 December. We complemented our optical spectra with infrared measurements from the InfraRed Array Camera (IRAC; Fazio et al. 2004) aboard the Spitzer Space Telescope. For Cha I, we used the results of Damjanov et al. (2007), and for Tau-Aur we analyzed publicly available images obtained between 2004 September and 2007 March, using the methods described in detail by Damjanov et al. (2007). Our results are listed in Tables 1 and 2.

Table 1. Summary of Results: Cha I

Object SpT vsin ia (km s−1) 10% Widthb (km s−1) Hα EW (Å) Ca ii EW (Å) S/Nc at Hα 3.6 μm (mJy) 4.5 μm (mJy) 5.8 μm (mJy) 8.0 μm (mJy)
T4 M0.5 12.4 ± 0.4 341 ± 28 −15 ± 2 −0.34 ± 0.12 14.7 ± 1.2  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
T7 K8 11.3 ± 0.8 365 ± 76 −30 ± 9 −1.6 ± 1.1 13.0 ± 1.0  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
T8 K2 35 ± 2 347 −18 −0.1 40 ± 5  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
T10 M3.75 5.4 ± 0.8 252 ± 24 −90 ± 27 −0.2 ± 0.02 5.7 ± 0.8  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
T11 K6 14.3 ± 1.1 367 ± 38 −41 ± 4 −0.318 ± 0.012 32 ± 2  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
T12 M4.5 10.7 ± 0.2 262 ± 35 −38 ± 7  ⋅⋅⋅  4.6 ± 1.0  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
ISO 52 M4 9.9 ± 0.6 126 ± 15 −5.4 ± 1.0  ⋅⋅⋅  4.9 ± 1.0 29.0 ± 1.0 24.0 ± 1.0 17 ± 2 18.4 ± 0.9
CHXR 14N K8 13.7 ± 0.6 114 ± 20 −2.0 ± 0.9 −0.29 ± 0.02 14.3 ± 1.1  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
CHXR 14S M1.75 5.7 ± 0.3 98 ± 14 −3.24 ± 0.19 −0.39 ± 0.04 10.1 ± 1.0  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
T16 M3 11.3 ± 0.9 101 −9 −0.28 ± 0.04 3.5 ± 1.0  ⋅⋅⋅  26.0 ± 1.0  ⋅⋅⋅  21.0 ± 1.0
T20 M1.5 48.3 ± 1.4 192 ± 21 −3.8 ± 0.4  ⋅⋅⋅  14.6 ± 1.3  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
Hn 5 M4.5 7.8 ± 0.4 340 ± 20 −56 ± 16 −2.3 ± 0.9 5.6 ± 1.0 63 ± 2 66 ± 2 71 ± 2 94 ± 2
T22 M3 60 ± 10 228 −3  ⋅⋅⋅  5.9 ± 0.9 65 ± 2 42 ± 2 32 ± 2 16.3 ± 0.9
CHXR 20 K6 14.6 ± 0.9 Absorp. 0.6 −0.19 ± 0.02 12.7 ± 1.7 113 ± 2 86 ± 2 81 ± 3 109 ± 2
CHXR 74 M4.25 5.8 ± 1.0 97 ± 7 −5.5 ± 0.8 −0.23 ± 0.11 4.3 ± 0.9 30 ± 2 20.0 ± 1.0 12 ± 2 7.7 ± 0.7
CHXR 21 M3 48 ± 5 135 ± 61 −4.0 ± 1.9  ⋅⋅⋅  4.6 ± 0.9  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
T24 M0.5 10.5 ± 0.4 454 ± 53 −18 ± 7 −0.26 ± 0.04 10.9 ± 1.2 98 ± 2 79 ± 2 70 ± 2 70 ± 2
T25 M2.5 12.6 ± 0.3 341 ± 62 −14 ± 3 −0.13 ± 0.06 8.0 ± 1.0  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
CHXR 76 M4.25 9.8 ± 0.6 89 ± 12 −5.8 ± 1.8 −0.13 ± 0.07 3.2 ± 1.0 16.7 ± 0.9 11.6 ± 0.8 4 ± 2 4.2 ± 0.5
T33A K3.5 12.9 ± 0.5 95 ± 15 −0.6 ± 0.2 −0.22 ± 0.04 15.9 ± 1.4  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
T33B G7 50 ± 4 318 ± 21 −61 ± 12 −2.3 ± 1.5 8.1 ± 1.1  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
T34 M3.75 5.8 ± 0.8 84 ± 8 −2.5 ± 1.1  ⋅⋅⋅  5.6 ± 0.8 34 ± 2 23.0 ± 1.0 16 ± 2 8.3 ± 0.8
T35 K8 21.0 ± 1.8 466 ± 46 −91 ± 49 −0.35 ± 0.09 7.7 ± 0.9  ⋅⋅⋅  100 ± 2  ⋅⋅⋅  45 ± 2
CHXR 33 M0 16.5 ± 1.5 153 ± 3 −2.9 ± 0.2 −0.18 ± 0.03 15.0 ± 1.5 67 ± 2 45 ± 2 36 ± 2 17.9 ± 0.9
T38 M0.5 18.7 ± 1.5 389 ± 23 −107 ± 37 −0.7 ± 0.7 5.6 ± 1.0  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
T39A sw K7 7.7 ± 1.6 131 ± 27 −5.2 ± 1.4 −0.41 ± 0.09 11.9 ± 1.0  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
T39A w M1.5 4.1 ± 0.3 100 ± 16 −2.6 ± 0.6 −0.26 ± 0.06 9.8 ± 1.0  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
T39B e M1.5 12.8 ± 0.4 106 ± 13 −5.3 ± 1.2 −0.25 ± 0.03 7.2 ± 0.8  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
Hn 10E M3.25 8.2 ± 0.5 377 ± 17 −62 ± 3 −1.6 ± 0.8 4.3 ± 1.0  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
T44 K5 87 ± 16 614 ± 53 −67 ± 13 −27 ± 10 15.9 ± 1.5  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
T45A M0 12.4 ± 0.5 340 ± 77 −2.7 ± 0.8 −0.33 ± 0.03 16.3 ± 1.7  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
T47 M2 16.2 ± 0.9 395 ± 18 −42 ± 7 −2 ± 2 3.1 ± 1.0  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
CHXR 48 M2.5 13.8 ± 0.5 110 ± 12 −4.3 ± 1.9 −0.4 ± 0.3 9.2 ± 1.0 45 ± 2 29.0 ± 1.0 19 ± 2 11.1 ± 0.7
T49 M2 8.2 ± 0.8 280 ± 25 −87 ± 19 −0.6 ± 0.2 6.3 ± 0.8  ⋅⋅⋅  120 ± 3  ⋅⋅⋅  117 ± 2
CHX 18N K6 26.5 ± 1.3 188 ± 39 −3.3 ± 0.7 −0.26 ± 0.06 30 ± 2  ⋅⋅⋅  358 ± 4  ⋅⋅⋅  196 ± 3
T50 M5 12.0 ± 0.4 262 ± 52 −22 ± 3 −0.1627 ± 0.0007 5.9 ± 0.9 52 ± 2 44 ± 2 35 ± 2 39 ± 2
T52 G9 28 ± 3 562 −48 −8 35 ± 4  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
T53 M1 22.2 ± 0.6 468 ± 22 −62 ± 20 −3.5 ± 1.5 7.4 ± 0.9  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
CHXR 54 M1 10.9 ± 0.2 120 ± 22 −1.3 ± 0.3 −0.21 ± 0.03 17.1 ± 1.3  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
Hn 17 M4 8.7 ± 0.5 72 ± 10 −2.6 ± 0.4  ⋅⋅⋅  4.9 ± 0.9  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
CHXR 57 M2.75 11.8 ± 1.2 100 ± 15 −3.1 ± 1.1 −0.29 ± 0.09 9.2 ± 1.0  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
Hn 18 M3.5 7.6 ± 0.8 121 ± 24 −6.0 ± 1.7 −0.101 ± 0.018 5.4 ± 0.7 27.0 ± 1.0 24.0 ± 1.0 20 ± 2 19.1 ± 0.9
CHXR 60 M4.25 0.8 ± 0.7 95 ± 12 −5.8 ± 1.1 −0.1 4.5 ± 0.9 22.0 ± 1.0 17.1 ± 0.9 11 ± 2 5.4 ± 0.5
T56 M0.5 7.2 ± 0.5 346 ± 41 −49 ± 11 −0.49 ± 0.17 15.2 ± 1.1  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 

Notes. aThe vsin i uncertainty represents the combined measurement scatter between results using different template spectra, and over different epochs. bThe Hα 10% width uncertainty does not correspond to the measurement uncertainty, but to the scatter in our multi-epoch data. cThe S/N is based on the continuum on either side of Hα used for the 10% width calculations, and the uncertainty represents the standard error of the estimate.

Download table as:  ASCIITypeset image

Table 2. Summary of Results: Tau-Aur

Object SpT vsin ia (km s−1) 10% Widthb (km s−1) Hα EW (Å) Ca ii EW (Å) S/Nc at Hα 3.6 μm (mJy) 4.5 μm (mJy) 5.8 μm (mJy) 8.0 μm (mJy)
NTTS 034903+2431 K5 36 ± 2 229 ± 31 −1.6 ± 0.2  ⋅⋅⋅  24.9 ± 1.7  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
NTTS 035120+3154SW G0 62 ± 3 Absorp. 2.1 ± 0.3  ⋅⋅⋅  22.7 ± 1.5  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
HD 285281 K0 76 ± 3 Absorp. 0.15 ± 0.08  ⋅⋅⋅  48 ± 3  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
NTTS 040047+2603E M2 5.85 ± 0.11 93 ± 11 −3.7 ± 0.9 −0.18 ± 0.08 14.8 ± 0.9 22.3 ± 0.7 15.9 ± 0.7 11.9 ± 0.7 6.4 ± 0.5
RX J0405.1+2632 K2 17.5 ± 1.3 Absorp. 0.7 ± 0.2 −0.089 ± 0.004 29.7 ± 1.9  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
RX J0405.3+2009 K1 24.1 ± 1.4 Absorp. 0.64 ± 0.04 −0.084 ± 0.011 41 ± 3 81.1 ± 1.2 48.9 ± 1.0 133.1 ± 1.0 18.2 ± 0.7
HD 284135 G0 72 ± 4 Absorp. 2.03 ± 0.14  ⋅⋅⋅  58 ± 3  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
HD 284149 F8 27.0 ± 1.9 Absorp. 2.45 ± 0.10  ⋅⋅⋅  51 ± 3  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
RX J0407.8+1750 K4 28.7 ± 1.0 115 ± 17 −0.59 ± 0.15 −0.14 ± 0.02 24.7 ± 1.7  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
RX J0408.2+1956 K2 75 ± 4 Absorp. −0.1  ⋅⋅⋅  20.8 ± 1.4  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
RX J0409.1+2901 G8 24 ± 2 Absorp. 0.3 ± 0.07 −0.12 ± 0.02 37 ± 2  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
RX J0409.2+1716 M1 70.5 ± 1.1 223 ± 23 −3.9 ± 0.7  ⋅⋅⋅  14.9 ± 1.0 36.1 ± 0.8 22.7 ± 0.7 15.5 ± 0.8 8.7 ± 0.5
RX J0409.8+2446 M1 5.9 ± 0.4 83 ± 8 −1.9 ± 0.7 −0.22 ± 0.05 19.6 ± 1.4  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
RX J0412.8+1937 K6 11.2 ± 0.8 96 ± 16 −0.34 ± 0.09 −0.19 ± 0.05 18.9 ± 1.2 35.5 ± 0.8 23.0 ± 0.7 14.9 ± 0.8 8.7 ± 0.5
HD 285579 G0 9.6 ± 1.1 Absorp. 1.9 ± 0.5 −0.066 ± 0.010 26.6 ± 1.5  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
LkCa 1 M4 30.9 ± 1.1 173 −4  ⋅⋅⋅  24 ± 3 54.0 ± 1.0 31.5 ± 0.8 23.6 ± 0.8 14.6 ± 0.5
CW Tau K3 33 ± 5 647 ± 7 −87 ± 45 −9 ± 3 21.0 ± 1.4 719 ± 5 694 ± 5 632 ± 5 572 ± 3
FP Tau M4 32 ± 2 378 ± 12 −12 ± 3  ⋅⋅⋅  14.1 ± 1.0 84.8 ± 1.4 63.8 ± 1.2 53.5 ± 1.2 37.1 ± 0.9
CX Tau M2 19.8 ± 0.6 319 −13 −0.08 34 ± 5 56.6 ± 1.0 47.1 ± 1.0 48.2 ± 1.2 65.5 ± 1.2
RX J0415.3+2044 K0 35 ± 3 Absorp. 1.16 ± 0.08  ⋅⋅⋅  37 ± 2  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
RX J0415.8+3100 G6 31.7 ± 1.9 Absorp. 1.6 ± 0.4  ⋅⋅⋅  20.2 ± 1.5  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
LkCa 4 K7 30 ± 2 198 ± 30 −4.8 ± 0.9 −0.23 ± 0.08 17.4 ± 1.3 72.3 ± 1.2 47.4 ± 1.0 32.4 ± 1.2 18.2 ± 0.7
CY Tau M1.5 10.6 ± 0.4 415 ± 28 −78 ± 13 −1.0 ± 0.7 29 ± 2 89.5 ± 1.4 77.7 ± 1.2 67.4 ± 1.4 63.6 ± 1.2
LkCa 5 M2 38.3 ± 1.1 163 −4  ⋅⋅⋅  20 ± 3 38.0 ± 0.8 24.9 ± 0.7 16.5 ± 0.7 9.4 ± 0.5
NTTS 041529+1652 K5 5.1 ± 1.3 Absorp. 0.3 ± 0.2 −0.17 ± 0.04 14.8 ± 1.1 8.8 ± 0.5 5.8 ± 0.5 4.1 ± 0.7 2.1 ± 0.3
Hubble 4 K7 16.5 ± 1.4 188 ± 16 −3.2 ± 0.6 −0.216 ± 0.017 20.2 ± 1.4 201 ± 3 135.5 ± 1.7 89.7 ± 1.5 51.3 ± 1.0
NTTS 041559+1716 K7 74 ± 4 210 ± 29 −1.5 ± 0.6  ⋅⋅⋅  20.8 ± 1.3 27.7 ± 0.8 18.0 ± 0.7 13.1 ± 0.7 6.2 ± 0.5
BP Tau K5 13.1 ± 1.6 458 ± 28 −109 ± 9 −3.2 ± 0.6 24.6 ± 1.7 155.4 ± 1.7 135.5 ± 1.7 117.5 ± 1.5 164.7 ± 1.7
V819 Tau K7 9.1 ± 0.6 166 ± 41 −2.1 ± 1.5 −0.22 ± 0.09 18.4 ± 1.3 73.1 ± 1.2 47.8 ± 1.0 35.0 ± 1.0 19.2 ± 0.7
DE Tau M1 9.7 ± 0.3 453 ± 6 −53 ± 9 −5.2 ± 1.8 17.9 ± 1.3 208 ± 3 179.7 ± 1.7 149.4 ± 1.7 156.0 ± 1.7
RY Tau F8 48 ± 3 600 ± 24 −12 ± 4 −0.8 ± 1.1 58 ± 3 1562 ± 7 1675 ± 7 2311 ± 7 3479 ± 9
HD 283572 G2 79 ± 3 Absorp. 1.01 ± 0.14  ⋅⋅⋅  75 ± 4 253 ± 3 160.9 ± 1.7 108.7 ± 1.7 60.5 ± 1.2
LkCa 21 M3 46 ± 3 277 −5  ⋅⋅⋅  24 ± 3 68.4 ± 1.2 44.7 ± 1.0 31.8 ± 1.0 18.7 ± 0.7
HD 285751 G5 26.6 ± 1.4 125 −0.3 ± 0.18 −0.119 ± 0.015 27.8 ± 1.7  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
BD +26 718 K0 32.4 ± 1.8 Absorp. 0.4 ± 0.2 −0.06 ± 0.02 29 ± 2  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
IP Tau M0 12.3 ± 0.8 333 ± 54 −15 ± 8 −0.45 ± 0.07 19.2 ± 1.3 105.2 ± 1.4 90.1 ± 1.4 73.2 ± 1.4 74.2 ± 1.2
BD +17 724B G5 49 ± 3 Absorp. 2.16 ± 0.08  ⋅⋅⋅  51 ± 3  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
NTTS 042417+1744 K1 17.6 ± 1.5 Absorp. 1.1 ± 0.3 −0.12 ± 0.03 36 ± 2 64.2 ± 1.2 40.6 ± 0.8 26.0 ± 0.8 15.4 ± 0.7
DH Tau M1 10.9 ± 0.6 348 −59 −2 29 ± 4  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
IQ Tau M0.5 14.4 ± 0.3 411 ± 48 −25 ± 10 −0.9 ± 0.8 19.0 ± 1.2 226 ± 3 213 ± 3 178 ± 3 177 ± 3
FX Tau a M2d 9.61 ± 0.19 281 ± 67 −6 ± 2 −0.23 ± 0.13 12.5 ± 1.0  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
FX Tau b M1d 7.9 ± 0.3 413 ± 53 −21 ± 12 −0.3 ± 0.06 16.3 ± 1.2  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
DK Tau A K7 17.5 ± 1.2 461 ± 54 −36 ± 27 −2.2 ± 0.9 25.4 ± 1.8  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
DK Tau B M1d 14.0 ± 0.8 397 ± 35 −46 ± 16 −1.6 ± 1.1 10.5 ± 0.9  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
RX J0430.8+2113 G8 41 ± 4 Absorp. 0.5 ± 0.4  ⋅⋅⋅  45 ± 3  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
HD 284496 G0 20.0 ± 1.0 Absorp. 0.88 ± 0.11 −0.08 ± 0.02 35 ± 2  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
NTTS 042835+1700 K5 14.8 ± 1.3 84 ± 7 −0.36 ± 0.15 −0.17 ± 0.03 22.9 ± 1.6 22.0 ± 0.7 13.9 ± 0.5 10.4 ± 0.7 5.4 ± 0.3
V710 Tau A M0.5 21.5 ± 0.4 192 −3  ⋅⋅⋅  13.5 ± 1.9  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
V710 Tau B M2 18.31 ± 0.19 371 −37 −0.4 16 ± 2  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
L1551-51 K7 32.1 ± 1.4 146 ± 26 −1.0 ± 0.4 −0.16 ± 0.02 21.6 ± 1.5 41.9 ± 0.8 26.8 ± 0.8 16.0 ± 0.7 10.6 ± 0.5
V827 Tau K7 20.9 ± 1.3 168 ± 15 −4.4 ± 1.3 −0.26 ± 0.07 16.6 ± 1.2 74.8 ± 1.2 48.8 ± 1.0 33.3 ± 0.8 18.7 ± 0.7
GG Tau A a K7 11.5 ± 0.7 512 ± 10 −51 ± 4 −2.5 ± 1.0 21.2 ± 1.6  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
RX J0432.7+1853 K1 25.2 ± 1.6 Absorp. 0.66 ± 0.16 −0.09 ± 0.03 34 ± 2  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
L1551-55 K7 7.7 ± 0.7 94 ± 9 −1.2 ± 0.4 −0.32 ± 0.10 18.4 ± 1.4 28.9 ± 0.8 18.0 ± 0.7 12.6 ± 0.7 7.1 ± 0.5
RX J0432.8+1735 M2 11.18 ± 0.11 105 ± 4 −1.8 ± 0.3 −0.28 ± 0.07 18.0 ± 1.2 37.8 ± 0.8 23.7 ± 0.7 16.6 ± 0.8 9.5 ± 0.5
V830 Tau K7 32.0 ± 1.5 121 −2 −0.2 15 ± 2 59.1 ± 1.0 36.9 ± 0.8 24.8 ± 0.8 14.4 ± 0.5
GI Tau K7 12.7 ± 1.9 302 ± 45 −14 ± 5 −0.62 ± 0.19 15.5 ± 1.3  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
RX J0433.5+1916 G6 58 ± 3 Absorp. 1.5 ± 0.3 −0.04 17.8 ± 1.2  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
DL Tau G 19 ± 4 581 ± 6 −96 ± 9 −41 ± 4 17.7 ± 1.3 233 ± 3 254 ± 3 246 ± 3 283 ± 3
DM Tau M1 4.0 ± 0.7 376 ± 27 −126 ± 37 −0.26 ± 0.03 14.8 ± 1.2 24.1 ± 0.7 15.9 ± 0.7 11.2 ± 0.7 10.7 ± 0.5
CI Tau G 13 ± 2 572 ± 9 −78 ± 7 −23 ± 9 23.1 ± 1.7 225 ± 3 217 ± 5 188 ± 3 231 ± 3
HBC 407 G8 8.8 ± 1.8 Absorp. 0.9 −0.09 12 ± 2 15.4 ± 0.7 10.2 ± 0.5 6.1 ± 0.7 4.5 ± 0.3
AA Tau K7 12.8 ± 1.1 402 ± 89 −14 ± 8 −0.34 ± 0.04 21.1 ± 1.5 172 ± 3 166.0 ± 1.7 152.8 ± 1.7 168.1 ± 1.7
HBC 412 A+B e M1.5d 4.1 ± 0.2 104 ± 6 −3.3 ± 1.2 −0.157 ± 0.008 15.0 ± 1.5  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
HBC 412 A+B w M1.5d 4.9 ± 0.3 105 ± 4 −4.0 ± 1.3 −0.23 ± 0.03 14.4 ± 1.5  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
DN Tau M0 12.3 ± 0.6 336 ± 16 −35 ± 6 −0.42 ± 0.05 20.4 ± 1.3 135.1 ± 1.7 118.5 ± 1.7 108.7 ± 1.7 119.6 ± 1.7
HQ Tau K0d 48 ± 2 442 ± 93 −2.0 ± 0.6 −0.1 26.7 ± 1.8 378 ± 3 364 ± 3 367 ± 3 506 ± 3
RX J0435.9+2352 M1 4.2 ± 0.5 125 ± 21 −2.7 ± 1.5 −0.21 ± 0.07 18.8 ± 1.4 52.7 ± 1.0 32.9 ± 0.8 21.9 ± 0.8 13.0 ± 0.5
LkCa 14 M0 22.7 ± 1.0 122 ± 20 −0.42 ± 0.15 −0.17 ± 0.03 27.0 ± 1.6 52.7 ± 1.0 32.9 ± 0.8 21.7 ± 0.8 12.8 ± 0.5
HD 283759 F2 57 ± 6 Absorp. 3.92 ± 0.10  ⋅⋅⋅  46 ± 3 62.8 ± 1.2 43.0 ± 1.0 27.2 ± 1.0 16.1 ± 0.7
RX J0437.2+3108 K4 11.3 ± 0.8 82 ± 9 −0.32 ± 0.05 −0.21 ± 0.04 22.4 ± 1.6  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
RX J0438.2+2023 K2 16.1 ± 1.7 Absorp. 0.24 ± 0.06 −0.13 ± 0.05 24.0 ± 1.7 25.3 ± 0.7 16.6 ± 0.7 10.5 ± 0.8 6.1 ± 0.5
RX J0438.2+2302 M1 4.5 ± 0.4 111 ± 29 −2.2 ± 1.0 −0.3 ± 0.07 18.8 ± 1.4 18.2 ± 0.7 12.2 ± 0.7 7.6 ± 0.8 4.2 ± 0.5
HD 285957 K2 22.5 ± 1.2 Absorp. −0.132 ± 0.014 −0.15 ± 0.03 33 ± 2  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
LkCa 15 K5 13.9 ± 1.2 451 ± 51 −15 ± 3 −0.31 ± 0.06 24.2 ± 1.5 122.8 ± 1.5 94.7 ± 1.4 66.7 ± 1.4 69.3 ± 1.2
CoKu Tau4 M1 25.8 ± 0.4 185 ± 33 −1.8 ± 0.5 −0.13 ± 0.04 23.8 ± 1.4 55.7 ± 1.0 37.1 ± 0.8 26.0 ± 0.8 16.5 ± 0.7
HD 283798 G2 25.2 ± 1.2 Absorp. 1.96 ± 0.09 −0.091 ± 0.018 62 ± 4  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
RX J0444.4+1952 M1 4.5 ± 0.4 Absorp. 0.09 ± 0.04 −0.06 ± 0.02 20.5 ± 1.4  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
HD 30171 G5 108 ± 4 Absorp. 1.4 ± 0.2  ⋅⋅⋅  65 ± 4  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
RX J0446.8+2255 M1 8.0 ± 0.3 85 ± 4 −1.3 ± 0.4 −0.26 ± 0.04 20.9 ± 1.5  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
RX J0447.9+2755 e G2d 27.9 ± 1.4 Absorp. 1.2 ± 0.5  ⋅⋅⋅  19.8 ± 1.7  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
RX J0447.9+2755 w G2.5d 30.5 ± 1.8 Absorp. 1.035 ± 0.019 −0.05 ± 0.02 20 ± 2  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
UY Aur A+B a K7 23.8 ± 1.3 324 ± 19 −40 ± 11 −0.8 ± 0.9 23.5 ± 1.5  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
RX J0452.5+1730 K4 8.8 ± 0.6 89 −0.2 −0.22 ± 0.04 22.2 ± 1.6 27.9 ± 0.8 16.8 ± 0.7 11.2 ± 0.8 7.3 ± 0.5
RX J0452.8+1621 K6 24.9 ± 1.2 123 ± 12 −0.7 ± 0.05 −0.18 ± 0.04 26.3 ± 1.8 70.1 ± 1.2 44.4 ± 1.0 30.2 ± 1.0 17.2 ± 0.7
RX J0452.9+1920 K5 4.8 ± 1.3 89 ± 8 −0.43 ± 0.04 −0.23 ± 0.02 26.9 ± 1.8  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
HD 31281 G0 79 ± 4 Absorp. 1.88 ± 0.09  ⋅⋅⋅  62 ± 4  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
GM Aur K7 14.8 ± 0.9 505 ± 11 −88 ± 15 −0.37 ± 0.08 22.1 ± 1.6 80.4 ± 1.2 56.4 ± 1.0 44.3 ± 1.0 47.8 ± 1.0
LkCa 19 K0 20.1 ± 1.1 154 ± 40 −0.9 ± 0.3 −0.27 ± 0.03 37 ± 2 76.3 ± 1.2 47.9 ± 1.0 31.8 ± 0.8 18.4 ± 0.7
RX J0455.7+1742 K3 12 ± 2 Absorp. 0.1 ± 0.04 −0.131 ± 0.014 30 ± 2  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
SU Aur G2 59 ± 2 561 ± 58 −5.0 ± 1.9 0.042 ± 0.012 78 ± 5 873 ± 5 816 ± 5 771 ± 5 976 ± 5
RX J0456.2+1554 K7 9.7 ± 0.6 106 ± 20 −0.7 ± 0.2 −0.26 ± 0.05 25.0 ± 1.8  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
HD 286179 G0 17.1 ± 1.2 Absorp. 2.12 ± 0.09  ⋅⋅⋅  40 ± 2  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
RX J0457.0+3142 K2 25.5 ± 1.5 Absorp. 1.0 ± 0.5  ⋅⋅⋅  55 ± 3  ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅   ⋅⋅⋅ 
RX J0457.2+1524 K1 42 ± 2 Absorp. 0.3 ± 0.07  ⋅⋅⋅  40 ± 2 110.8 ± 1.5 68.6 ± 1.2 47.5 ± 1.0 26.5 ± 0.9
RX J0457.5+2014 K3 33 ± 3 Absorp. 0.39 ± 0.18  ⋅⋅⋅  30.8 ± 1.9 48.6 ± 1.0 30.0 ± 0.8 19.7 ± 0.8 11.6 ± 0.5
RX J0458.7+2046 K7 7.8 ± 0.5 Absorp. 0.066 ± 0.017 −0.167 ± 0.018 27.6 ± 1.7 42.0 ± 1.0 25.6 ± 0.8 17.3 ± 0.8 10.1 ± 0.5
RX J0459.7+1430 K4 14.5 ± 0.6 53  ⋅⋅⋅  −0.193 ± 0.017 24.0 ± 1.7 37.1 ± 0.8 23.0 ± 0.7 16.1 ± 0.8 8.8 ± 0.5
V836 Tau K7 13.4 ± 1.1 403 ± 58 −55 ± 17 −0.36 ± 0.13 20.4 ± 1.4 72.9 ± 1.2 61.8 ± 1.2 52.3 ± 1.2 57.9 ± 1.0
RX J05072+2437 K6 19.7 ± 1.0 126 ± 14 −1.4 ± 0.4 −0.3 ± 0.03 21.3 ± 1.4 26.0 ± 0.7 17.3 ± 0.7 12.7 ± 0.7 0.7 ± 0.5

Notes. aThe vsin i uncertainty represents the combined measurement scatter between results using different template spectra, and over different epochs. bThe Hα 10% width uncertainty does not correspond to the measurement uncertainty, but to the scatter in our multi-epoch data. cThe S/N is based on the continuum on either side of Hα used for the 10% width calculations, and the uncertainty represents the standard error of the estimate. dSpectral type determined by this work.

Download table as:  ASCIITypeset image

Our sample consists of a magnitude-limited subset (R ⩽ 17.6 for Cha I; R ⩽ 13.4 for Tau-Aur) of targets from Leinert et al. (1993), Ghez et al. (1993), Simon et al. (1995), Kohler & Leinert (1998), Briceño et al. (2002), and Luhman (2004a, 2004b). To isolate the possible influence of binarity on disk braking in this study, we excluded from our sample unresolved wide binaries and double-lined spectroscopic binaries. Our targets span the spectral type range from F2 to M5 based on published classifications. In addition, we observed a sample of 25 slowly rotating velocity standard stars selected from the list of Nidever et al. (2002); these cover the same spectral range as our targets. We determined the spectral type for 13 targets without prior classification by fitting their spectra against those of the standard stars, and identifying the best fits.

MIKE is a slit-fed double echelle spectrograph with blue and red arms. For this study, we used only the red spectra, which cover the range of 4900–9300 Å in 34 spectral orders. The 0farcs35 slit was used with no binning to obtain the highest possible spectral resolution, R∼ 60,000. The pixel scale was 0farcs14 pixel−1 in the spatial direction, and approximately 0.024 Å pixel−1 at 6500 Å in the spectral direction. In MIKE, the spatial direction of the projected slit is wavelength dependent, and not aligned with the CCD columns. To extract these slanted spectra, we used customized routines running in the ESO-MIDAS environment (described in detail in A. Brandeker et al. 2009, in preparation). Integration times were chosen such that we obtained signal-to-noise ratios (S/N) >30 per spectral resolution element at 6500 Å; they typically ranged from 60 to 1200 s depending on seeing.

3. ANALYSIS

3.1. Accretion Signatures

The Hα equivalent width (EW) has long been used to distinguish accreting or classical T Tauri stars (EW >10 Å) from nonaccreting or weak-line T Tauri stars (EW <10 Å). In accretors, in the context of the magnetospheric accretion scenario, the Hα emission arises largely from the gas falling in from the inner disk edge onto the star. In non-accretors, chromospheric activity is the main source of Hα emission, and is thus generally weaker. The Hα profiles of accretors also tend to be much broader than those of non-accretors due to the high velocity of the infalling gas and Stark broadening. (The latter is expected to be important in Hα, since the line optical depths are high; see Muzerolle et al. 2001 for further discussion.) Asymmetry in the Hα profile of accretors is also commonly observed as a result of viewing geometry, absorption by a wind component, or both.

Since the Hα EW depends on the spectral type, White & Basri (2003) proposed to use as a more robust accretion diagnostic the Hα 10% width. By comparing this measurement with veiling in their stellar spectra, they found that a Hα 10% width larger than 270 km s−1 reliably indicates accretion. A less conservative accretion cutoff of 200 km s−1 was adopted by Jayawardhana et al. (2003) for their study of young very low mass objects, based on empirical results and physical reasoning; however, they cautioned that it should be used in combination with additional diagnostics whenever possible. In later studies, it was found that Hα 10% width not only appears to be a good qualitative indicator of accretion but also correlates with the mass accretion rates derived by other means: the 200 km s−1 threshold corresponds to a mass accretion rate of ∼10−11 M yr−1 (Natta et al. 2004).

For this study, we use the Hα 10% width as one accretion diagnostic, which we computed as follows. First, we estimated the continuum level at Hα by linearly interpolating between flux measurements in the range of 500 km s−1 to 1000 km s−1 on either side of the line. Next, the maximum flux level of Hα emission was measured with respect to this continuum level. Finally, the crossing points of the Hα emission with the 10% flux level are identified, and the width was measured. The results for our targets are listed in Tables 1 and 2; we note that for some objects, the measurements were uncertain, e.g., because of absorption components or double-peaked profiles with one peak close to 10% of the height of the main peak. Note, however, this is not critical: all these sources are clearly accretors.

To obtain mass accretion rates, we use the Ca ii-λ8662 emission fluxes (${\mathcal F}_{{\rm Ca}\,\hbox{\scriptsize {\sc ii}}}$) which have been shown to be a more robust quantitative indicator of accretion than Hα 10% width (Nguyen et al. 2009). We derived the fluxes from the observed emission equivalent widths. To determine the widths, we integrated the emission above the continuum level. For emission profiles attenuated by a broad absorption feature, we used the median flux within 0.2 Å of the absorption minima as an approximate continuum level for integration, similar to what was done by Muzerolle et al. (1998). To infer the emission fluxes from the equivalent widths, we must know the underlying photospheric continuum flux. We used the continuum flux predicted by the PHOENIX synthetic spectra for a specified Teff and surface gravity. We inferred Teff from our spectral types, and assumed a surface gravity of log g = 4.0 (cgs units). For five targets shared by Mohanty et al. (2005), our results were lower by 0.05 to 0.41 dex. We ignored veiling, which may lead to an underestimation of line fluxes.

3.2. Projected Rotational Velocity

The projected rotational velocity vsin i of each target was determined by fitting the target spectra against sets of artificially broadened template spectra derived from one of the observed slowly rotating standard stars. For each target, we initially selected the standard star closest in spectral type as a template. To broaden the templates, we convolved the original template spectra with the analytical rotational broadening function of Gray (2005) assuming a limb darkening factor of 0.65.

Our routine to estimate vsin i of a target consists of four steps. First, we fitted the target spectra with template spectra broadened from 0 to 200 km s−1 in steps of 10 km s−1, and recorded the vsin i value of the best fit for each echelle order. Second, we refined our search to projected rotational velocities within 10 km s−1 of the first-pass results in steps of 1 km s−1, and revised our estimates accordingly. Third, we computed weighted averages over the echelle orders, after removing outliers using a standard Tukey filter, i.e. values lying 1.5 times the interquartile range below the first quartile and above the third quartile were discarded (see Hoaglin et al. 2000; for a Gaussian distribution, this filter corresponds to removing data points beyond 2.7σ). Fourth, we calculated the weighted average across epochs and used it as a provisional vsin i estimate of the target.

To finalize our vsin i estimates, we checked the provisional results using different templates and found that the variation in estimates was typically an order of magnitude larger than the weighted standard error of individual estimates. Therefore, for each target, we calculated two additional vsin i estimates using the next two closest standard stars by spectral type, and adopted as vsin i the estimate from the best-fit template, and as uncertainty, the standard deviation of the estimates between different templates. The results are listed in Tables 1 and 2. We considered the potential influence of veiling on our vsin i estimates: strong mass accretors will have strong veiling which could affect the vsin i estimates. However, we found no correlation between accretion signatures and rotational velocities when comparing these values for individual stars over time.

4. RESULTS

4.1. Accretion and Disk Presence

To examine the correlation between disk presence and accretion, we show in Figure 1 the 8 μm excess against Hα 10% widths for those targets for which both measurements are available. (The error bars on the Hα 10% width refer to the standard deviation of the estimates over epochs.) Out of the 67 objects in this subsample, 22 show evidence of both accretion and disk presence (see the upper right regions in Figure 1), implying that gas from the inner disk is still being channeled onto the star, and 41 objects have neither infrared excess nor signs of accretion. Thus, in nearly all cases (63/67), the accretion signature is well correlated with disk presence.

Figure 1.

Figure 1. 8 μm excess vs. the full width of Hα at 10% of the peak (Hα 10% width) for 13 Cha I and 54 Tau-Aur members. Suspected accretors and non-accretors based on Hα emission are denoted by solid and hollow symbols, respectively. The Hα 10% width error bars do not correspond to the measurement uncertainty, but to the scatter in our multi-epoch data. There is a clear separation of disk candidates above (and the nondisk candidates below) [3.6] − [8.0] = 0.5 illustrated by the dashed line, and a delineation between accretors and non-accretors at the cutoff of 200 km s−1 adopted originally by Jayawardhana et al. (2003). Note that some non-accretors appear above the cutoff because of the additional broadening due to rapid rotation; see Figure 3.

Standard image High-resolution image

Of the four exceptions, the three non-accretors with infrared excess, all in Cha I, are CHXR 20, Hn 18, and ISO 52. For these objects, accretion rates may have dropped below measurable levels in Hα 10% width even though the disks persist. The Ca ii-λ8662 flux of Hn 18 is detectable and indicates a negligible accretion rate of 4.4 × 10−11M yr−1. Also, accretion may be variable on short timescales (Nguyen et al. 2009). For CHXR 20, Ca ii-λ8662 emission was undetected at one epoch, and is present at two other epochs with a suggested small accretion rate of 2.6 × 10−10M yr−1. The only accretor without infrared excess, LkCa 21, was observed on a single epoch with a Hα 10% width of 277 km s−1; this value includes a contribution from rotational broadening of 46 km s−1. The net 10% width is below the threshold for accretors originally set out by (White & Basri 2003). In addition, Ca ii-λ8662 emission was not observed in LkCa 21 implying that it likely is not an accretor.

4.2. Stellar Mass and Rotational Velocity

Rotational velocity is known to vary as a function of stellar mass in young stars, likely because the efficiency of angular momentum removal depends on magnetic activity, which in turn depends on stellar mass (see Scholz et al. 2007). To probe the rotation–mass dependence, we show the projected rotational velocity as a function of spectral type in Figure 2. Here late-K spectral type corresponds to ∼1 M (Baraffe et al. 1998). The results are similar to what was found previously (e.g., Scholz et al. 2007; Rebull et al. 2002). Higher mass stars tend to have faster projected rotational velocity overall than their lower mass counterparts.

Figure 2.

Figure 2. Projected rotational velocities vsin i as a function of the spectral type. Suspected accretors and non-accretors based on Hα emission are denoted by solid and hollow symbols, respectively. The vsin i errors represent the combined uncertainty between results using different template spectra, and over different epochs. The dashed line represents the median vsin i for bins covering on either side two spectral subtypes. The overall appearance of this plot is comparable to vsin i distribution in other young clusters: projected rotational velocity tends to increase with stellar mass.

Standard image High-resolution image

To examine this rotation–mass trend further, we divided our targets into two mass bins consisting of F–K type stars, and M type stars. In Figure 3, we show boxplots of vsin i for the two mass bins: the horizontal lines inside the rectangles indicate the median values. Clearly, in both Cha I and Tau-Aur, the median vsin i for the higher mass bins, 26 km s−1 and 24 km s−1, are significantly faster than those of the lower mass bins, both at 11 km s−1.

Figure 3.

Figure 3. Boxplots of vsin i for Cha I and Tau-Aur grouped into two mass bins. Clearly, for both regions, the rotational velocities of high mass stars is faster than their lower mass counterparts by a factor of 2–2.5. The central rectangles span the first quartile to the third quartiles with the segment inside indicating the median values, and "whiskers" above and below the box show the locations of the minima and maxima after applying a Tukey filter; statistical outliers and suspected outliers are shown as filled dots and hollow dots, respectively.

Standard image High-resolution image

To get a quantitative sense of the difference in rotational velocity between the high and low mass stars, we applied the Kolmogorov–Smirnov (K–S) test. This analysis shows there is a probability of only ∼0.5% for Cha I, and ∼0.1% for Tau-Aur that the vsin i for the two mass bins were drawn from the same distribution.

When interpreting this finding, one should take into account that the stars in our sample assuming an age of ∼2 Myr span roughly a range of 1–4 R in stellar radii. To gauge the contribution of stellar radius on vsin i, we evaluated the specific angular momentum in our sample as follows. First, we converted spectral type to effective temperature by looking up and interpolating values from Sherry et al. (2004). Second, we used the effective temperature to obtain estimates of mass M, radius R, and moment of inertia I from the models of D'Antona & Mazzitelli (1997). Third, we combined these values with our vsin i estimates to compute the projected specific angular momentum using the relation jsin i = (vsin i)I/MR. In Figure 4, we show jsin i as a function of stellar mass. From the best linear fit to the upper envelope of the data points, we find by eye that jM0.5. Indeed, there is an increase in specific angular momentum with increasing stellar mass.

Figure 4.

Figure 4. Specific angular momentum j as a function of stellar mass computed assuming an age of 2 Myr from the models of D'Antona & Mazzitelli (1997). Suspected accretors and non-accretors based on Hα emission are denoted by solid and hollow symbols, respectively. Targets from Cha I are represented by triangles, and those from Tau-Aur are drawn as squares. The dashed line represents the median vsin i for bins spanning log M/M ± 0.1. The dotted line is a linear fit by eye to the upper bound of the data and has a slope of 0.5.

Standard image High-resolution image

4.3. Accretion and Rotational Velocity

To check for a connection between accretion and rotation, in Figures 5 and 6, we show vsin i as a function of Hα 10% width and of 8 μm excess for our targets. In addition, the figures show both the intrinsic contribution of rotation to the line widths, and the separation between accretors and non-accretors.

Figure 5.

Figure 5. Projected rotational velocity vsin i vs. Hα 10% width for a sample of T Tauri stars in the Chamaeleon I and Taurus-Auriga star-forming regions. Suspected accretors and non-accretors based on Hα emission are denoted by solid and hollow symbols, respectively. The Hα 10% width error bars do not correspond to the measurement uncertainty, but to the scatter in our multi-epoch data. The vsin i errors represent the combined uncertainty between results using different template spectra, and over different epochs. The intrinsic contribution of rotation to line width is shown by the dashed line. The adopted boundary between accretors and non-accretors is shown by the dotted line.

Standard image High-resolution image
Figure 6.

Figure 6. Projected rotational velocity vsin i as a function of 8 μm excess. Suspected accretors and non-accretors based on Hα emission are denoted by solid and hollow symbols, respectively. The vsin i errors represent the combined uncertainty between results using different template spectra, and over different epochs. The separation of disk and nondisk candidates is illustrated by the dashed line. The vsin i distributions for stars with and without inner disks are not statistically distinctg.

Standard image High-resolution image

We compared the distribution of vsin i for accretors and non-accretors using a number of K–S tests. To account for the rotation-mass dependence (see Section 4.2), we carried out these tests for the two mass bins (F–K type and M type) separately. The probability that the vsin i of accretors and non-accretors were drawn from the same distribution in Cha I is 6% for the high-mass targets, and 50% for the low-mass ones. The probabilities for high- and low-mass targets in Tau-Aur are 8% and 10%, respectively. For the entire sample, the corresponding probabilities for high- and low-mass targets is 30% and 7%, respectively. Thus, any connection between accretion and projected rotational velocity is at best marginally significant. The vsin i distributions are shown in Figure 7.

Figure 7.

Figure 7. Boxplots of vsin i for accretors vs. non-accretors grouped by region and spectral type. The distributions in black and gray represent accretors and non-accretors, respectively. The central rectangles span the first quartile to the third quartiles with the segment inside indicating the median values, and "whiskers" above and below the box show the locations of the minima and maxima after applying a Tukey filter; statistical outliers and suspected outliers are shown as filled dots and hollow dots, respectively. The vsin i distributions between accretors and non-accretors are statistically similar. Note, the comparison for Cha I high-mass stars involves only nine objects, and may appear deceivingly distinct by eye.

Standard image High-resolution image

Since the presence of dusty disks is strongly correlated with accretion in our targets, it is not surprising there is, for high and low mass stars in Tau-Aur respectively, a 9% and 13% probability that the vsin i for stars with and without disks were drawn from the same distribution. It would appear that the presence of ongoing accretion or a disk has no significant effect on the rotation in our sample. This is contrary to the standard disk braking scenario, as outlined in Section 1.

One particular reason for the negative test results is the presence of a significant number of rapidly rotating accretors, as seen in Figure 5. Based on Spitzer data, Rebull et al. (2006) find that the fraction of stars with disks is very low for rotation periods P < 1.8 d (see their Figure 3). For a radius of 1 R and an average sin i, this period corresponds to a projected rotational velocity of 22 km s−1. This value scales linearly with stellar radius. In our sample, we see 5–10 objects rotating faster than this threshold, where the exact number depends on the inclinations and stellar radii. This type of objects is not expected in the evolutionary sequence for the standard disk braking scenario described in Section 1.

Previous studies drew conclusions about the disk-braking scenario based on rotation periods from photometric data, while we use projected rotational velocity. To check whether this makes a difference, we ran Monte Carlo simulations based on published data from previous photometric studies, e.g., Stassun et al. (1999), Herbst et al. (2002) surveys in the ONC. In the simulations, rotation periods were converted to vsin i by selecting random viewing angles and using uniformly distributed stellar radii of 1–4 R. In the case of Herbst et al. (2002), where there was previous indication of disk braking, we found probabilities of <1% that diskless stars have the same distribution of vsin i as disk harboring stars, hence we recovered their evidence for disk braking. Furthermore, for data from Stassun et al. (1999), where disk braking was not observed, we found that the simulated vsin i distributions for diskless and disk-harboring stars were similar, with probabilities consistently >10%. We conclude that our results are insensitive to our use of projected rotational velocity to probe disk-braking scenarios.

5. SUMMARY AND DISCUSSION

We present a comprehensive study of projected rotational velocities and Hα 10% widths for young stars in Taurus-Auriga and Chamaeleon I. Our three main results are as follows.

  • 1.  
    Indicators for accretion and inner disks agree for >94% of our total sample. For nearly all objects, the dissipation of the dusty inner disk and the drop in accretion rate below measurable levels occur simultaneously. Consequently, the lifetimes of inner disks are similar to the timescales of gas accretion. Based on our large sample, systems with inner disk clearings and ongoing gas accretion are rare (1/67); the same holds for systems with nonaccreting inner disks (3/67). This consistency shows that timescales for inner disk clearing and accretion decline are much shorter than typical disk lifetimes (∼105 years instead of several 106 years).
  • 2.  
    F–K stars have on average of 2–2.5 times larger rotational velocities than M stars. Although rotational velocity is proportional to stellar radius, from the models of D'Antona & Mazzitelli (1997) at 2 Myr, the typical radius of our F–K stars is less than 1.5 times that of the M stars in our sample. Moreover, the specific angular momentum is proportional to M0.5. This mass dependence complements findings in Orion of Wolff et al. (2004) where the upper envelope of the observed values of angular momentum per unit mass varies as M0.25 for stars on convective tracks (∼1 Myr) with a break in the power law with a sharp decline in j with decreasing mass for stars with M < 2 M for slightly older stars on radiative tracks (see their Figure 3). They posit that these broad trends can be accounted for by simple models where stars lose angular momentum before they are deposited on the birth line, plausibly through star–disk interaction, and for stars with M < 2M, the amount of braking increases with time spent evolving down their convective tracks. Our analysis of ∼2 Myr old T Tauri stars in Cha I and Tau-Aur showed an angular momentum mass trend in between that of the two age groups studied in Orion for the same mass regime. This intermediate result could hint at only the beginning stages of disk braking, a significant age spread, or both.
  • 3.  
    The presence of accretion or an inner disk does not significantly affect the distribution of rotational velocities in Taurus-Auriga and Chamaeleon I. This finding adds to the ongoing debate on disk braking in young stars, as it is in stark contrast to recent studies in the ONC and NGC 2264 (e.g., Rebull et al. 2006; Cieza & Baliber 2007), where a clear increase in disk fraction is found with increasing rotation period.

Part of the explanation may be that the stars have had insufficient time to brake. Hartmann (2002) estimate a disk-magnetosphere braking timescale τDB ≳  4.5 ×  106 yr $M_{0.5}\;\dot{M}^{-1}_{-8} f$, where M0.5 is the stellar mass in units of 0.5 M, $\dot{M}_{-8}$ is the mass accretion rate in units of the typical value of 10−8M yr−1(M/0.5 M), and f is the stellar rotation as a fraction of breakup velocity, then τDB for our sample (typically ∼5 Myr) is somewhat larger than the estimated age of the stars (∼2 Myr). Adopting the accretion and rotation results of Rebull et al. (2000) and Clarke & Bouvier (2000), we find a shorter typical τDB of ∼1 Myr for the ONC where disk braking is observed. Therefore, disk-locking in Cha I and Tau-Aur may be ineffective overall.

In addition, there is evidence for spin-down not involving accretion from the inner disk. The specific angular momentum values for ∼10 Myr solar-like mass stars in Orion, where strong braking is observed (Wolff et al. 2004), are typically lower than those found in our sample of similar mass non-accretors (where disk-locking should have expired) by a factor of ∼5. In contrast, the j values for ∼1 Myr solar-like mass stars in Orion are similar to those of our non-accretors. These measurements could imply another braking mechanism is at work after disks have dissipated. Of course, this indication for another braking mechanism relies on accurate age estimates.

Another possible explanation for the lack of strong disk braking in our sample is age spread, which might be larger in Taurus-Auriga and Chamaeleon I than in the cluster cores of ONC and NGC 2264. Covering objects in varying stages of their rotational history could dilute a disk braking signature. In addition, the contrast between our results and those of previous studies that find strong evidence of disk braking may stem from different initial conditions at evolutionary stages before the stars became optically observable, e.g., at the birth line. The initial rotational velocity distributions for dense star-forming regions like ONC and NGC 2264 could be very different from Tau-Aur and Cha I where star formation has occurred in an environment with much lower stellar density. Future investigation of a similar kind should aim to take into account a more complete understanding of stellar properties when looking at correlations between rotation and disk/accretion signatures. In combination with previous results in other young clusters, our data will serve as an empirical basis for future studies on the timescales and efficiency of disk braking mechanisms.

We thank the anonymous referee for helpful comments that improved the clarity of the paper. We thank David Lafrenière and Nairn Baliber for useful suggestions relating to the work presented in this paper. This paper includes data gathered with the 6.5 m Magellan Telescopes located at Las Campanas Observatory, Chile. We would also like to thank the Magellan staff for their tireless effort and patience in accommodating our aggressive observing program. This work was supported in part by NSERC grants to R.J. and M.H.vK., and an Early Researcher Award from the province of Ontario to R.J.

Please wait… references are loading.
10.1088/0004-637X/695/2/1648