Search for the direct production of charginos, neutralinos and staus in final states with at least two hadronically decaying taus and missing transverse momentum in $pp$ collisions at $\sqrt{s}$ = 8 TeV with the ATLAS detector

Results of a search for the electroweak associated production of charginos and next-to-lightest neutralinos, pairs of charginos or pairs of tau sleptons are presented. These processes are characterised by final states with at least two hadronically decaying tau leptons, missing transverse momentum and low jet activity. The analysis is based on an integrated luminosity of 20.3 fb$^{-1}$ of proton--proton collisions at $\sqrt{s}=8$ TeV recorded with the ATLAS experiment at the Large Hadron Collider. No significant excess is observed with respect to the predictions from Standard Model processes. Limits are set at 95% confidence level on the masses of the lighter chargino and next-to-lightest neutralino for various hypotheses for the lightest neutralino mass in simplified models. In the scenario of direct production of chargino pairs, with each chargino decaying into the lightest neutralino via an intermediate tau slepton, chargino masses up to 345 GeV are excluded for a massless lightest neutralino. For associated production of mass-degenerate charginos and next-to-lightest neutralinos, both decaying into the lightest neutralino via an intermediate tau slepton, masses up to 410 GeV are excluded for a massless lightest neutralino.


Prepared for submission to JHEP
Search for the direct production of charginos, neutralinos and staus in final states with at least two hadronically decaying taus and missing transverse momentum in pp collisions at √ s = 8 TeV with the ATLAS detector

The ATLAS Collaboration
Abstract: Results of a search for the electroweak associated production of charginos and next-to-lightest neutralinos, pairs of charginos or pairs of tau sleptons are presented. These processes are characterised by final states with at least two hadronically decaying tau leptons, missing transverse momentum and low jet activity. The analysis is based on an integrated luminosity of 20.3 fb −1 of proton-proton collisions at √ s = 8 TeV recorded with the ATLAS experiment at the Large Hadron Collider. No significant excess is observed with respect to the predictions from Standard Model processes. Limits are set at 95% confidence level on the masses of the lighter chargino and next-to-lightest neutralino for various hypotheses for the lightest neutralino mass in simplified models. In the scenario of direct production of chargino pairs, with each chargino decaying into the lightest neutralino via an intermediate tau slepton, chargino masses up to 345 GeV are excluded for a massless lightest neutralino. For associated production of mass-degenerate charginos and next-tolightest neutralinos, both decaying into the lightest neutralino via an intermediate tau slepton, masses up to 410 GeV are excluded for a massless lightest neutralino.
In SUSY models, the mass eigenstates formed from the linear superpositions of the SUSY partners of the charged and neutral Higgs bosons and electroweak gauge bosons, the charginos (χ ± i , i = 1, 2) and neutralinos (χ 0 j , j = 1, 2, 3, 4 in the order of increasing masses), as well as the sleptons (superpartners of the leptons, 1˜ andν) can be sufficiently light to be produced at the Large Hadron Collider (LHC) [22]. Naturalness arguments suggest that the lightest third-generation sparticles, charginos and neutralinos should have masses of a few hundred GeV to protect the Higgs boson mass from quadratically divergent quantum corrections [23,24]. Furthermore, light sleptons could play a role in the co-annihilation of neutralinos, leading to a dark matter relic density consistent with cosmological observations [25,26], and their mass is expected to be in the O(100 GeV) range in gauge-mediated [27][28][29][30][31][32] and anomaly-mediated [33,34] SUSY breaking scenarios. Models with light tau sleptons (the staus, labelled asτ in the following) are consistent with current dark matter searches [35].
This paper presents a search for electroweak production of charginos, next-to-lightest neutralinos and staus in events with at least two hadronically decaying tau leptons, missing transverse momentum and low jet activity, using the 2012 dataset of √ s = 8 TeV protonproton collisions collected with the ATLAS detector. Previous searches from the ATLAS collaboration cover electroweak production of supersymmetric particles in final states with electrons and muons [36] using signal models where the neutralinos and charginos decay with equal probability to all lepton flavours, and final states with exactly three leptons of any flavour (electrons, muons, and hadronically decaying taus) [37] using models similar to those described in this paper. A search for associated production of charginos and nextto-lightest neutralinos in stau dominated scenarios have recently been published by the CMS collaboration [38]. The combined LEP limits on the stau and chargino masses are mτ > 87-93 GeV (depending on theχ 0 1 mass) and mχ± 1 > 103. . It should be noted that the stau mass limit from LEP assumes gaugino mass unification, which is not assumed in the results presented here.

SUSY scenarios
SUSY scenarios characterised by the presence of light charginos, next-to-lightest neutralinos and sleptons can be realised in the general framework of the phenomenological Minimal Supersymmetric Standard Model (pMSSM) [43][44][45]. The dominant processes are the electroweak production ofχ ± higgsino-mixing mass term). In this paper we study two pMSSM model implementations with large tan β and where the only light slepton is the stau partner of the right-handed tau (τ R ). More details of the considered models are given in section 5.2.
"Simplified models" [46,47] characterised byχ ± 1χ 0 2 andχ ± 1χ ∓ 1 production, where the charginos and neutralinos decay with 100% branching fraction to final states with taus, are also considered. In all cases the lightest neutralino is the LSP, and the only light slepton is the stau partner of the left-handed tau (τ L ). If the stau and the superpartner of the tau neutrino (the tau sneutrino, labelled asν τ ) are lighter than theχ ± 1 andχ 0 2 , the following decay processes can occur:χ 0 2 →τ L τ → τ τχ 0 1 , andχ ± 1 →τ L ν(ν τ τ ) → τ νχ 0 1 . Figures 1(a) and 1(b) show diagrams of associatedχ ± 1χ 0 2 andχ ± 1χ ∓ 1 production. If charginos and next-to-lightest neutralinos are too heavy to be produced at the LHC, direct production of stau pairs [48] might become the dominant electroweak production process in the pMSSM. The production of stau pairs is studied in this paper, and the relevant process is depicted in figure 1(c).
For the considered processes the typical event signatures are at least two taus with opposite electric charge (opposite-sign, OS), low jet activity and large missing transverse momentum due to the escaping neutrinos and LSPs. Only final states containing hadronically decaying taus are considered in this search.

The ATLAS detector
The ATLAS detector [49] is a multi-purpose particle physics detector with forward-backward symmetric cylindrical geometry, and nearly 4π coverage in solid angle. 2 It features an inner tracking detector (ID) surrounded by a 2 T superconducting solenoid, electromagnetic and hadronic calorimeters, and a muon spectrometer (MS). The ID covers the pseudorapidity region |η| < 2.5 and consists of a silicon pixel detector, a silicon microstrip detector (SCT), and a transition radiation tracker (TRT). The calorimeters are composed of highgranularity liquid-argon (LAr) electromagnetic calorimeters with lead, copper, or tungsten absorbers (in the pseudorapidity region |η| < 3.2) and an iron-scintillator hadronic calorimeter (over |η| < 1.7). The end-cap and forward regions, spanning 1.5 < |η| < 4.9, are instrumented with LAr calorimeters for both the electromagnetic and hadronic measurements. The MS surrounds the calorimeters and consists of three large superconducting air-core toroid magnets, each with eight coils, a system of precision tracking chambers (|η| < 2.7), and detectors for triggering (|η| < 2.4). Events are selected by a three-level trigger system.

Data sample
The analysed dataset, after the application of beam, detector and data quality requirements, corresponds to an integrated luminosity of 20.3 ± 0.6 fb −1 . The luminosity is measured using techniques similar to those described in ref. [50] with a preliminary calibration of the luminosity scale derived from beam-overlap scans performed in November 2012. The average number of inelastic interactions per bunch crossing (pile-up) varied from 5.9 to 36.5.
The events used in this analysis are recorded using a di-tau trigger, which requires identification of two hadronically decaying tau candidates with transverse momenta (p T ) exceeding a set of thresholds, similar to those described in ref. [51]. Trigger efficiency measurements using a sample of Z → τ τ events where one tau decays hadronically and the other leptonically into a muon and two neutrinos, show that the di-tau trigger reaches constant efficiency (∼65%) when the leading tau has p T > 40 GeV and the next-to-leading tau has p T > 25 GeV.
as the data. The effect of multiple proton-proton collisions in the same or nearby bunch crossings is also taken into account.

Standard Model processes
The main sources of SM background to final states with at least two hadronically decaying taus are multi-jet, W +jets and diboson events. They are estimated with methods using simulation samples and data as described in section 8. MC samples are used to estimate the SM background contributions from processes leading to at least one tau from prompt boson decays in the final state, such as diboson production (W W , W Z, ZZ), processes including a top quark pair or single top quark (in association with jets or W /Z bosons), and Z boson production in association with jets. Production of the SM Higgs boson with a mass of 125 GeV is also considered.
The simulation parameters are tuned to describe the soft component of the hadronic final state [65,66]. The next-to-leading-order (NLO) CT10 [67] parton distribution function (PDF) set is used for SHERPA and MC@NLO. The CTEQ6L1 [68] set is used for MadGraph, AcerMC, PYTHIA, and ALPGEN.
All SM background production cross sections are normalised to the results of higherorder calculations when available. The inclusive W and Z production cross sections are calculated to next-to-next-to-leading order (NNLO) in the strong coupling constant with DYNNLO [69] using the MSTW2008NNLO PDF set [70]. The tt cross section is normalised to a NNLO calculation including resummation of next-to-next-to-leading logarithmic (NNLL) soft gluon terms obtained with Top++ v2.0 [71]. Diboson production cross section is normalised to NLO using MCFM v6.2 [72,73]. The production of tt in association with W/Z is normalised to the NLO cross section [74,75].
The results of this search are interpreted in the context of two pMSSM models with the following specifications. The masses of squarks, gluinos and sleptons other than the stau partner of the right-handed taus are set to 3 TeV, and tan β is set to 50. In the first (second) pMSSM model, M 1 is set to 50 (75) GeV and M 2 and µ are varied between 100 and 500 (600) GeV. The mass of the lighter stau,τ 1 =τ R , is set to 95 GeV in the first pMSSM model, whereas in the second pMSSM model it is set halfway between those of thẽ χ 0 2 and theχ 0 1 . In the first pMSSM scenario (with fixed stau mass), the dominant processes are the associated production of charginos and neutralinos (χ ± 1χ 0 2 ), or pair production of charginos (χ ± 1χ ∓ 1 ) or staus (ττ ), depending on the values of M 2 and µ. The cross section of direct stau production is 163 fb over the whole set of models, while the production cross sections of chargino-neutralino and chargino-chargino vary from 5 · 10 −3 to 40 pb and from 0.01 to 16 pb, respectively. In the second pMSSM scenario (with variable stau mass), the dominant processes areχ ± 1χ 0 2 andχ ± 1χ ∓ 1 production. The cross section of direct stau production varies from 0.4 to 42 fb, while the production cross sections of charginoneutralino and chargino-chargino vary from 5 · 10 −4 to 1.2 pb and 8 · 10 −4 to 0.9 pb, respectively.
Two simplified models characterised byχ ± 1χ 0 2 andχ ± 1χ ∓ 1 production are also considered. In these models, all sparticles other thanχ ± 1 ,χ 0 2 ,χ 0 1 ,τ L andν τ are assumed to be heavy (masses of order of 2 TeV). The neutralinos and charginos decay via intermediate staus and tau sneutrinos. The stau and tau sneutrino are assumed to be mass-degenerate, which happens to be often the case in pMSSM scenarios with large mass splitting betweeñ χ ± 1 andχ 0 1 . The mass of theτ L state is set to be halfway between those of theχ  mass is varied between zero and 350 GeV. The cross section for electroweak production of supersymmetric particles ranges from 0.01 to 2 pb in the considered models.
Direct stau production is studied in the context of the pMSSM model described in ref. [81]. The masses of all charginos and neutralinos apart from theχ 0 1 are set to 2.5 TeV. The model containsτ R andτ L , but no tau sneutrinos. The stau mixing is set such that τ 1 =τ R andτ 2 =τ L . The stau masses are generated in the range from 90 to 300 GeV and the mass of the bino-likeχ 0 1 is varied by scanning the gaugino mass parameter M 1 in the range from zero to 200 GeV. The cross section for direct stau pair production in this scenario decreases from 18 to 0.1 fb forτ L , and from 7 to 0.1 fb forτ R as the stau mass increases from 90 to 300 GeV.
Three reference points are used throughout this paper to illustrate the typical features of the SUSY models to which this analysis is sensitive:

Event reconstruction
Events with at least one reconstructed primary vertex are selected. A primary vertex must have at least five associated charged-particle tracks with p T > 400 MeV and be consistent with the beam spot envelope. If there are multiple primary vertices in an event, the one with the largest p 2 T of the associated tracks is chosen. Jets are reconstructed from three-dimensional calorimeter energy clusters using the anti-k t algorithm [82,83] with a radius parameter of 0.4. Jet energies are corrected for detector inhomogeneities, the non-compensating nature of the calorimeter, and the impact of pile-up, using factors derived from test beam, cosmic ray, and pp collision data, and from a detailed GEANT4 detector simulation [84]. The impact of pile-up is accounted for by using a technique, based on jet areas, that provides an event-by-event and jet-by-jet correction [85]. Events containing jets that are likely to have arisen from detector noise or cosmic rays are removed. For this analysis jets are required to have p T > 20 GeV and |η| < 4.5.
Electron candidates are reconstructed by matching clusters in the electromagnetic calorimeter with charged particle tracks in the inner detector. Electrons are required to have p T > 10 GeV, |η| < 2.47, and to satisfy the "medium" shower-shape and trackselection criteria defined in ref. [86], updated for the 2012 operating conditions. Muon candidates are identified by matching an extrapolated inner detector track and one or more track segments in the muon spectrometer [87]. Muons are required to have p T > 10 GeV and |η| < 2.4. Events with muons compatible with cosmic rays are rejected.
The reconstruction of hadronically decaying taus is based on the information from tracking in the ID and three-dimensional clusters in the electromagnetic and hadronic calorimeters. The tau reconstruction algorithm is seeded by jets reconstructed as described above but with p T > 10 GeV and |η| < 2.47. Tracks are subsequently associated with the tau jet within a cone of size ∆R = (∆η) 2 + (∆φ) 2 = 0.2 around the axis of the tau cluster. The reconstructed energies of the hadronically decaying tau candidates are corrected to the tau energy scale, which is calibrated independently of the jet energy scale, by a MC-based procedure [88]. Tau neutrinos from the tau lepton decay are not taken into account in the reconstruction and calibration of the tau energy and momentum. Since taus decay mostly to either one or three charged pions, together with a neutrino and often additional neutral pions, tau candidates are required to have one or three associated charged particle tracks (prongs) and the total electric charge of those tracks must be ±1 times the electron charge. To improve the discrimination between hadronically decaying taus and jets, electrons, or muons, multivariate algorithms are used [89]. The tau identification algorithm used in this analysis is based on the Boosted Decision Tree (BDT) method. The BDT algorithms use as input various track and cluster variables for particle discrimination. A "jet BDT" is used to discriminate taus from jets, and an "electron BDT" to discriminate between electrons and taus. Based on the jet BDT result, three tau identification criteria corresponding to "loose", "medium", and "tight" quality can be defined. For 1-prong (3-prong) taus the signal efficiencies are 70%, 60% and 40% (65%, 55% and 35%) for the loose, medium and tight working points, respectively. Background rejection factors ranging from 10 to 40 for signal efficiencies of 70% are achieved, increasing to 500 for 35% signal efficiency.
In the following, tau candidates are required to pass the "medium" identification criteria for jet discrimination, while for the final signal region selections both the "tight" and "medium" criteria are used. For electron discrimination, the "loose" quality selection is applied to 1-prong taus only. This requirement has about 95% efficiency, and a rejection factor from 10 to 50 depending on the η range. In addition, a dedicated muon veto is applied to remove tau candidates generated by muons associated with anomalous energy deposits in the calorimeter. The resulting signal efficiency is better than 96%, with a reduction of muons misidentified as taus of around 40%. Tau candidates are required to have p T > 20 GeV and |η| < 2.47.
The measurement of the missing transverse momentum two-vector, p miss T , and its magnitude, E miss T , is based on the vectorial sum of the p T of reconstructed objects (jets, taus, electrons, photons, muons) as well as calorimeter energy clusters (with |η| < 4.9) not associated with reconstructed objects [90]. Since different requirements on the tau identification (loose, medium, and tight jet BDT quality requirements) are used throughout this analysis, taus are calibrated at the jet energy scale for the calculation of p miss T . The possible double counting of reconstructed objects is resolved in the following order. If two electron candidates are found within a distance ∆R = 0.05, the electron candidate with lower momentum is discarded. Jet candidates are removed if they lie within a distance ∆R = 0.2 of a tau or an electron. Any tau candidate lying within a distance ∆R = 0.2 of any remaining electron or muon is discarded. Any muon candidate within ∆R = 0.4 of a jet is removed. The remaining electrons are rejected if they lie within 0.2 < ∆R < 0.4 of a jet. Electron and muon candidates within a distance ∆R = 0.1, or muon candidates within a distance ∆R = 0.05, are rejected. To remove low-mass resonances, electron or muon pairs with opposite electrical charge are rejected if their invariant mass is less than 12 GeV.
Jets are further classified as jets containing a b-quark (b-jets), light-parton jets, and forward jets. A b-tagging algorithm [91], which exploits the long lifetime of b-hadron decays, is used to identify jets containing a b-quark. The mean nominal b-tagging efficiency, determined from tt MC events, is 80%, with a misidentification (mis-tag) rate for lightquark/gluon jets of less than 1%. Correction factors are applied as functions of the p T and η of the jets to all MC samples to correct for small differences in the b-tagging performance observed between data and simulation. Jets in the central region, satisfying p T > 20 GeV, |η| < 2.4, and the b-tagging algorithm, are defined as b-jets, or B20. Central light jets are required to have |η| < 2.4, and not be identified as b-jets. To remove jets that originated from pile-up collisions, a central light jet with p T < 50 GeV must have at least one track with p T > 400 MeV associated with it and with the primary vertex of the event. Depending on their transverse momentum, central light jets are referred to as L30 (L50) if they have p T > 30 (50) GeV. Forward jets, or F30, must satisfy p T > 30 GeV and 2.4 < |η| < 4.5.
For the background estimation and validation described in section 8, events containing isolated electrons or muons are selected. Isolated electrons and muons are defined as follows. The summed scalar p T of tracks above 400 MeV within a cone of size ∆R = 0.3 around each electron or muon candidate (excluding the candidate itself) and associated with the primary vertex is required to be less than 16% of the electron or muon p T . The distance of closest approach in the transverse plane of an electron or muon candidate to the event primary vertex must be within five (for electron candidates) or three (for muon candidates) standard deviations from its measurement in the transverse plane. For isolated electrons, the sum of transverse energies of the surrounding calorimeter energy clusters within ∆R = 0.3 of each electron candidate, corrected for the deposition of energy from pile-up interactions, is required to be less than 18% of the electron p T . The longitudinal impact parameter of an electron, z 0 , must satisfy |z 0 sin θ| < 0.4 mm. Muon candidates are required to satisfy |z 0 sin θ| < 0.1 mm. Furthermore, isolated electrons must satisfy the "tight" criteria [86,92] placed on the ratio of calorimetric energy to track momentum, and the number of high-threshold hits in the TRT.
The simulation is corrected for differences in the efficiency of the tau identification and trigger algorithms between data and MC simulation. For hadronically decaying taus coming from prompt boson decays, the corrections are calculated with a "tag-and-probe" method in a sample of Z → τ τ events where one tau decays hadronically and the other leptonically into a muon and two neutrinos [89]. For misidentified taus from electrons a sample of Z → ee events is used, while the mis-identification rate of taus from light jets is measured in a sample of Z → µµ events with associated jets. The efficiencies for electrons and muons to satisfy the reconstruction, identification and isolation criteria are measured in samples of Z and J/ψ leptonic decays, and corrections are applied to the simulated samples to reproduce the efficiencies in data.

Event selection
Events are required to have at least two candidate taus, and at least one must satisfy the tight jet BDT quality requirement. At least one of the selected tau pairs must contain taus with opposite electrical charge. Two of the reconstructed taus must have fired the di-tau trigger, and satisfy the p T requirements to be in the region where the trigger efficiency is constant, i.e. the more (less) energetic tau must have p T > 40 (25) GeV. The di-tau invariant mass of any opposite-sign (OS) pair must be larger than 12 GeV to remove taus from low-mass resonances. This requirement has negligible effect on the signal efficiency. Events with additional light leptons (defined as candidate electrons or muons after resolving the overlap between the various reconstructed objects as described in section 6) are vetoed to allow for a statistical combination with other ATLAS analyses [36,37].
To enhance the sensitivity to the SUSY signal and suppress SM backgrounds, additional requirements are applied that define the so-called signal regions (SR). At tree level, no jet is present in the SUSY processes of interest; however, jets can be generated from initial-state radiation (ISR). Vetoing events containing jets suppresses background contributions involving top quarks but may also reduce the signal efficiency due to ISR. To maximise the signal-to-background ratio, three event-based jet vetoes are used depending on the SR: a "b-jet veto", where only events with no b-jets, i.e. N (B20) = 0, are accepted; a "jet veto", where only events with N (B20)+N (L30)+N (F30) = 0 are selected; and a "looser jet-veto", where N (B20)+N (L50)+N (F30) = 0 is required. The rejection factors of the b-jet veto, jet veto, and looser jet-veto measured on MC samples of top quark backgrounds (tt, single top and tt+V ) are about 6, 50, and 20, respectively.
To reject backgrounds with a Z boson, events where at least one of the oppositely charged tau pairs has a reconstructed invariant mass within 10 GeV of the visible Z boson mass (81 GeV) are vetoed. The visible Z boson mass is obtained from the mean value of a gaussian fit of the reconstructed invariant mass distribution of OS tau pairs in a MC sample of Z(→ τ τ )+jets events. This requirement is referred to as the "Z-veto". The Zveto reduces the contribution from background processes containing Z decays by a factor of three. An additional requirement on the angular separation between the leading and next-to-leading tau, ∆R(τ, τ ) < 3, is effective in discriminating against back-to-back events such as multi-jet production or Z decays.
To further improve the signal to background ratio, additional requirements on a selection of sensitive kinematic variables are applied depending on the SR. The "stransverse" mass m T2 [93,94] is defined as: where p τ 1 T and p τ 2 T are the transverse momenta of the two taus, and q T is a transverse vector that minimises the larger of the two transverse masses m T . The latter is defined by In events where more than two taus are selected, m T2 is computed among all possible tau pairs and the combination leading to the largest value is chosen. For tt and W W events, in which two on-shell W bosons decay leptonically and p miss T is the sum of the transverse momenta of the two neutrinos, the m T2 distribution has an upper end-point at the W mass. For large mass differences between the next-to-lightest neutralinos, the charginos, or the staus and the lightest neutralino, the m T2 distribution for signal events extends significantly beyond the distributions of the tt and W W events.
Two additional kinematic variables, sensitive to the additional missing transverse momentum due to the LSPs, are used to discriminate SUSY from SM events. These are the effective mass m eff = E miss T + p τ 1 T + p τ 2 T , defined as the scalar sum of the missing transverse energy and the transverse momenta of the two leading taus, and m Tτ 1 + m Tτ 2 , where m Tτ 1 (m Tτ 2 ) is the transverse mass computed from the transverse momentum of the leading (next-to-leading) tau and p miss T . Four SRs are defined in this analysis, targeting various SUSY production processes. 3 The requirements for each SR are summarised in table 1. At least two OS taus are required in all SRs except for SR-C1C1, where exactly two OS taus are required. The first two SRs, SR-C1N2 and SR-C1C1, targetχ ± 1χ 0 2 andχ ± 1χ ∓ 1 production, respectively. SR-C1N2 is based on moderate E miss T and large m T2 requirements. In SR-C1C1, events with moderate m T2 and large m Tτ 1 + m Tτ 2 are selected. The last two SRs, SR-DS-highMass and SR-DS-lowMass, are designed to cover direct stau production and are optimised for different ranges of the stau mass. The four SRs are not mutually exclusive.
The signal acceptance for events passing all analysis requirements is of order a few percent for SUSY models to which this analysis is sensitive in all SRs. The trigger efficiency varies between 55% and 70% according to the signal region and the SUSY model considered, while the total reconstruction efficiency is about 15%.

Standard Model background estimation
The main SM processes contributing to the selected final states are multi-jet, W +jets and diboson production. Decays of the SM Higgs boson, assuming a mass of 125 GeV, into a τ τ final state have negligible contribution in all SRs (less than 0.1%). Background events may contain a combination of 'real' taus, defined as correctly identified tau leptons, or 'fake' taus, which can originate from a misidentified light-flavour quark or gluon jet, an electron or a muon.
In multi-jet events all tau candidates are misidentified jets. Due to the large cross section and the poor MC modelling of the tau mis-identification rate from jets, the multi-jet contribution in the SRs is estimated from data, as described in section 8.1. The contribution of W +jets events, which contain one real tau from the W decay and one or more misidentified jets, is estimated from MC simulation, and normalised to data in a dedicated control region, as described in section 8.2.
Diboson production contributes mainly with events containing real tau leptons coming from W W and ZZ decaying into a τ τ νν final state. Additional SM backgrounds arise from Z+jets production, or events which contain a top quark or top quark pair in association with jets or additional W or Z bosons (collectively referred to as 'top' background in the following). The contribution from real taus exceeds 90% in Z+jets and diboson production, and ranges from 45% to 75% in backgrounds containing top quarks. The contribution of fake taus from heavy-flavour decays in jets is negligible. To estimate the irreducible background, which includes diboson, Z+jets and top quark events, only MC simulated samples are used, as described in section 8.3. The available MC sample sizes in the SRs are limited for Z+jets and top backgrounds. To improve the statistical precision, the prediction in the SRs for these processes is extrapolated from regions with large MC statistics.
Finally, for each signal region, a simultaneous fit based on the profile likelihood method [95] is performed to normalise the multi-jet and W +jets background estimates, as described in section 8.4. Details of the sources of systematic uncertainty on the background estimates described in this section are given in section 9.

Multi-jet background estimation
One of the dominant backgrounds in the SRs originates from jets misidentified as taus in multi-jet production (from 13% to 30% of the total background, depending on the SR). This contribution is estimated from data using the "ABCD" method. Four exclusive regions, labelled as A, B, C (the "control regions") and D (the SR), are defined in a two-dimensional plane as a function of two uncorrelated discriminating variables. In this case, the ratio of the numbers of events in the control regions (CR) A and B equals that of SR D to control region C: the number of events in the SR D, N D , can therefore be calculated from that in control region A, N A , multiplied by the transfer factor T = N C /N B .
The tau identification criterion (tau-id) based on the jet BDT quality requirement and a kinematic variable chosen depending on the SR are used as the two discriminating variables to define the regions A, B, C and D. The following kinematic variables are used: m T2 for SR-C1N2, m Tτ 1 + m Tτ 2 for SR-C1C1, and m eff for SR-DS-highMass and SR-DS-lowMass.
The control region A and the signal region D are defined in the same way except that in the control region A all candidate taus must satisfy the "loose" but fail the "tight" jet BDT requirement (tight tau event veto). The same requirement on the tau-id as in control region A (signal region D) is applied in control region B (control region C). In control regions B and C, less stringent requirements on the kinematic variables defined above are applied. The definitions of the control regions are summarised in table 2.
Furthermore, two validation regions E and F are defined. The validation region E (F) has the same definition as the control region A (signal region D) except for intermediate requirements on the kinematic variable, as listed in table 3. The validation regions are used to verify the extrapolation of the ABCD estimation to the SR, and to estimate the systematic uncertainty from the residual correlation between the tau-id and the kinematic variable. The regions A-F are drawn schematically in figure 2.
The number of multi-jet events in the control and validation regions is estimated from data after subtraction of other SM contributions estimated from MC simulation. Over 80% of the events contributing to the control regions B and C come from multi-jet production. In control region A the multi-jet purity ranges from 60% to 70%, except for SR-DS-highMass for which the purity is 35%. The prediction in this region is affected by a large statistical uncertainty.
The distributions of the kinematic variables in the control regions A, B and in validation region E are shown in figure 3. The results of the ABCD method are summarised in table 4. The SM predictions are in agreement with the observed data counts in the multi-jet validation regions, as shown in table 5.  Regions

W +jets background estimation
The production of W +jets events with at least one misidentified tau is an important background in the SRs, ranging from 25% to 50%. A dedicated control region (W CR) is used to normalise the W +jets MC estimation to data. The W CR is designed to be kinematically as close as possible to the signal regions, and is enriched in events where the W decays leptonically into a muon and a neutrino to suppress multi-jet contamination. Events containing exactly one isolated muon and one tau passing the tight jet BDT requirement are selected. The selected leptons must have opposite electrical charge. To reduce the contribution from Z+jets production, m T,τ + m T,µ > 80 GeV is required, and the reconstructed invariant mass of the two leptons, m τ,µ , must be outside the Z mass window (12 GeV < m τ,µ < 40 GeV or m τ,µ > 100 GeV). To further suppress multi-jet and Z+jets events, E miss T > 40 GeV is required, and the leptons must not be back-to-back, i.e. |∆φ(τ, µ)| < 2.7 and |∆η(τ, µ)| < 2.0. The contribution from events with top quarks is suppressed by rejecting events containing b-tagged jets, i.e. N (B20) = 0. The definition of the W CR is given in table 6.
The multi-jet contribution in the W CR is estimated by counting the number of events in data satisfying the same requirements as the W CR but with same-sign (SS) charge of the two leptons. Events from SM processes other than multi-jet production are subtracted from the data counts in the SS region, using their MC prediction. The method relies on the fact that in the multi-jet background the ratio of SS to OS events is close to unity, whilst a significant difference from unity is expected for W +jets production. The latter is dominated by gu/gd-initiated processes that often give rise to a jet originating from a quark, the charge of which is anti-correlated with the W boson charge.
The W +jets estimate is tested in a validation region (W VR) where the W is required to decay leptonically into an electron and a neutrino. The W VR is defined in the same way as the W CR except that events with one tight tau and one isolated electron are selected. The multi-jet contribution in the W VR is estimated using the same technique as in the W CR. The event yields in the W +jets control and validation regions are given in table 7. The purity of the selection in W +jets events is around 80% (75%) in the W CR (VR). Good agreement between data and SM predictions is observed. The large uncertainties stem from the corrections applied for the trigger and identification efficiency for misidentified taus from light jets. Distributions of the kinematic variables defining the SRs are shown in figure 4. The distribution of the effective mass m eff in the W VR is shown in figure 5 (a).

Estimation of irreducible backgrounds
Irreducible SM backgrounds arise mainly from tt, single top, tt+V , Z/γ * +jets and diboson (W W , W Z and ZZ) processes and are estimated with MC simulation and validated in data. Other SM backgrounds are negligible.  The diboson background accounts for 15-35% of the total SM contribution in the signal regions, and mainly arises from W W → τ ντ ν and ZZ → τ τ νν events. To validate the MC modelling and normalisation of the W W process, validation regions with enriched W W → eνµν contribution are defined for each SR. Events with exactly one OS electronmuon pair are selected. To keep the same phase space as the SRs, the W W VRs are defined in the same way except for intermediate requirements on the relevant kinematic variable to reduce possible signal contamination, i.e. 50 GeV < m T2 < 100 GeV for SR-C1N2, 150 GeV < m T,µ + m T,e < 250 GeV for SR-C1C1, 150 GeV < m eff < 230 GeV for Table 4. The MC predicted backgrounds in the multi-jet control regions, including both the statistical and systematic uncertainties, and the expected multi-jet contribution (in italics), obtained by subtracting the MC contributions from observed data (in bold). Predicted event yields for the SUSY reference points in the control regions are also shown. The estimated multi-jet contribution in the SRs is given in the last column. The details of the systematic uncertainties reported here are discussed in section 9.

Sample
Region A Region B Region C T = C/B Multi-jet in SR (D)

SR-DS-highMass and 150
GeV < m eff < 260 GeV for SR-DS-lowMass. The purity of the selection in W W events ranges from 70% to 80% in all validation regions. The agreement between data and SM predictions is found to be good, and the data yields match the SM predictions within uncertainties (of the order of 10%), as shown in figure 5 (c). The inclusive contribution from tt, single top, tt+V and Z/γ * +jets amounts to about 5-20% of the total background in the signal regions. The MC estimates are validated in regions enriched in Z+jets and tt events.
In the Z+jets validation region events containing one isolated electron or muon and one tau with opposite electrical charge are selected. The invariant mass of the dilepton pair must satisfy 40 GeV < m τ < 75 GeV. To suppress contributions from other SM processes, m T,l + m T,τ < 80 GeV, |∆φ( , τ )| > 2.4 and N (B20) = 0 veto are required. The multi-jet  Table 6. Definition of the W +jets control region.
1 tight tau and 1 isolated muon with opposite charge b-jet veto ∆φ(τ, µ) < 2.7 |∆η(τ, µ)| < 2.0 E miss T > 40 GeV m T,τ + m T,µ > 80 GeV 12 GeV < m τ,µ < 40 GeV or m τ,µ > 100 GeV Table 7. Event yields in the W +jets control and validation regions. The SM backgrounds other than multi-jet production are estimated from MC simulation and normalised to 20.3 fb −1 . The multi-jet contribution is estimated from data in the same-sign region, by subtracting all other SM backgrounds from the data counts. The quoted uncertainty is the sum in quadrature of statistical and systematic uncertainties.

Sample
W CR W VR Data 4120 3420 SM total 4100 ± 900 3500 ± 600 W +jets 3300 ± 800 2600 ± 500 contribution in the Z VR is estimated with the same method as in the W CR and VR. The top quark validation region is defined by requiring at least two candidate taus, and at least one must satisfy the tight jet BDT quality requirement. At least one of the selected tau pairs must contain taus with opposite electrical charge. To increase the contribution from top events, two b-tagged jets with p T > 20 GeV are required, and the  events should be kinematically compatible with tt production (top-tagged) through the use of the variable m CT [96]. The scalar sum of the p T of the two taus and of at least one combination of two jets in an event must exceed 100 GeV. Furthermore, top-tagged events are required to possess m CT values calculated from combinations of jets and taus consistent with the expected bounds from tt events as described in Ref. [97]. Requirements of 50 GeV < E miss T < 100 GeV and m Tτ 1 + m Tτ 2 > 80 GeV are applied to suppress contributions from SM backgrounds not containing top quarks.
The purity of the selection in Z+jets and tt events is above 80% in the respective validation regions and good agreement between the data and SM expectation is observed. Distributions of relevant kinematic variables in the Z and top VRs are shown in figure 5 (

Fitting procedure
For each signal region, a simultaneous fit is performed based on the profile likelihood method [95]. The inputs to the fit are: the number of observed events in the multi-jet CR A and W CR, the expected non-multi-jet and non-W contributions to the multi-jet CR A and W CR, the expected contributions of multi-jet and W to the multi-jet CR A and W CR, as described in sections 8.1 -8.2, and the transfer factors, which relate the number of multi-jet or W +jets events in their associated control region to that predicted in the signal region. The number of events in a given CR is described using a Poisson distribution, the mean of which is the sum of the expected contributions from all background sources. The free parameters in the fit are the normalisations of the W +jets and multi-jet contributions. The systematic uncertainties on the expected background yields are included as nuisance parameters, assumed to be Gaussian distributed with a width determined from the size of the uncertainty. Correlations between control and signal regions, and background processes are taken into account with common nuisance parameters. The fit parameters are determined by maximising the product of the Poisson probability functions and the constraints for the nuisance parameters.

Systematic uncertainties
Systematic uncertainties have an impact on the estimates of the background and signal event yields in the control and signal regions. Several sources of systematic uncertainty are considered for the ABCD method used to determine the multi-jet background: the correlation between the kinematic variable (m T2 , m Tτ 1 + m Tτ 2 , or m eff ) and the tau identification variable, the limited number of events in the CRs, and the subtraction of other SM backgrounds. The systematic uncertainty on the correlation is estimated by comparing the transfer factor from the region B to region C to that of the region E to F (see figure  2). The systematic uncertainty due to the limited number of events in the control regions is estimated by considering the statistical uncertainty on the number of data events and the other SM background components. The systematic uncertainty on the non-multi-jet background subtraction in the control regions A, B, and C is estimated by considering the systematic uncertainty in the MC estimations of the non-multi-jet background in the CRs. A summary of the systematic uncertainties on the multi-jet background estimation in the SRs is shown in table 8. The dominant source is given by the limited number of events in the multi-jet control regions. The dominating uncertainty in the multi-jet estimation from SS events in the W control region and in the W and Z validation regions stems from the different fractions of quark and gluon jets in the OS and SS regions. The relative difference in the tau mis-identification rates measured in events with OS and SS lepton pairs varies between 20% and 70% in most of the phase space of interest for this analysis; however, it goes up to 100% in regions with few events.
The experimental systematic uncertainties on the SM backgrounds estimated with MC simulation are due to those on the jet energy scale and resolution [84], E miss T energy scale and resolution [90], b-tagging and mis-identification efficiency [98], and tau identification, Table 8. Summary of the systematic uncertainties for the multi-jet background estimation. The total uncertainty is the sum in quadrature of each source. trigger efficiency and energy scale [88]. The main contribution comes from the uncertainty on the corrections applied to the tau identification and trigger efficiency in the simulated samples, and from the tau energy scale uncertainty. The uncertainty on the correction for the tau identification efficiency is of the order of 2-3% for taus with p T between 20 and 200 GeV. Uncertainties on the trigger efficiency are around 2-4% for taus with p T between 30 and 50 GeV, and increase to 8-10% for taus with p T > 50 GeV. The uncertainty on the tau energy scale is of the order of a few percent, with no significant dependence on pile-up or on the tau pseudorapidity.
A systematic uncertainty of the order of 10% associated with the simulation of pile-up is also taken into account. The luminosity uncertainty is 2.8% [50].
Theoretical uncertainties affecting the generator predictions arise from the finite number of partons (FNP) from the hard primary interaction for diboson and top processes, the effect of the renormalisation (µ R ) and factorisation (µ F ) scales for diboson, W +jets and Z+jets production, and the impact of the merging scale of the matrix element with the parton shower (ME-PS) for diboson and top processes. The FNP-induced uncertainty is calculated by comparing the baseline samples which contain up to three additional partons from the hard interaction to samples with up to two additional partons. The uncertainty due to the µ R and µ F scales is determined by the comparison with samples with these scales varied up and down by a factor of two, while the ME-PS merging scale uncertainty is determined by a comparison with samples with varied merging scale. For W +jets events, the uncertainty due to the jet p T threshold used for parton-jet matching is calculated by comparing the baseline samples with jet p T threshold set to 15 GeV to samples with a threshold of 25 GeV. The theoretical uncertainties associated with the top sample vary from 10% to 20% while the W/Z+jets and diboson theoretical uncertainties vary from 17% to 30%, depending on the process and the signal region. The uncertainty due to the PDF choice is 1-2% for W/Z+jets and diboson production, and around 6% for tt, single top and tt+V processes. The theoretical uncertainties on the cross sections are 5% for Z+jets [99], 10% for tt, 3%, 4% and 7% for single top in the t-, s-and W t-channels, respectively, 22% for tt+W/Z, and 5%, 5% and 7% for W W , ZZ and W Z, respectively [73].
The various sources of uncertainty for the non-multi-jet background estimates in the SRs are summarised in table 9. In the W CR, the total uncertainty on the W +jets estimation is around 20%, and it is dominated by theory uncertainties and corrections due to trigger and tau identification efficiency. Table 9. Summary of the various sources of uncertainty for the non-multi-jet background estimates in the signal regions. The first row shows the uncertainty due to the limited statistics in the MC samples. The second row shows the total systematic uncertainty from theory. The main experimental systematic uncertainties are given in the rows labelled with "Tau ID and trigger" and "Tau Energy scale", while the row "Others" shows the contribution from the remaining sources of experimental systematic uncertainty as described in the text. The "Total" uncertainty is the sum in quadrature of each source.

Source
W Signal cross sections are calculated to NLO. Their uncertainties are taken from an envelope of cross-section predictions using different PDF sets and factorisation and renormalisation scales [100]. Uncertainties associated with modelling of ISR in SUSY signal samples were evaluated for a few benchmark samples and found to be negligible. Systematic uncertainties associated with the signal selection efficiency include those due to the tau trigger efficiency, tau identification and energy scale, jet reconstruction and E miss T calculation. The uncertainty on the integrated luminosity also affects the predicted signal yield. The total uncertainty varies between 20% and 30% for SUSY scenarios to which this measurement is sensitive. The dominant experimental uncertainty is due to the tau trigger efficiency, and is around 20%.

Results
The observed number of events in each signal region and the expected contributions from SM processes are given in table 10. The contributions of multi-jet and W +jets events were scaled with the normalisation factors obtained from the fit described in section 8.4. The normalisation factors do not deviate from unity by more than 1%. Due to the limited number of events in the multi-jet CRs, the uncertainty on the multi-jet normalisation varies between 54% and 131% depending on the CR, while the uncertainty on the W +jets normalisation is around 10%. All statistical uncertainties arising from the limited number of MC events are included. The effect of limited data events in the CRs is included in the systematic uncertainty. All systematic uncertainties except for the jet energy scale and jet energy resolution are obtained taking into account the correlations among control regions and background processes. The total uncertainties are the sum in quadrature of systematic and statistical uncertainties. Due to the simultaneous fit, the uncertainty on the W +jets estimation decreases by 10% with respect to the numbers in table 9, while the uncertainties on the remaining non-multi-jet backgrounds vary by less than 2% depending on the SR. Due to the large uncertainty on the multi-jet normalisation, the uncertainty on the multi-jet estimate increases by up to 25% depending on the SR with respect to the numbers quoted in table 4. Agreement is found between observations and background expectations within 1σ in all signal regions except for SR-C1C1. In SR-C1C1, the observed number of events fluctuates below the number of expected SM events by 2.2σ, mainly in the region 250 GeV < m Tτ 1 + m Tτ 2 < 270 GeV.
For each SR, the significance of a possible excess of observed events over the SM prediction is quantified by the one-sided probability, p 0 , of the background alone to fluctuate to the observed number of events or higher using the asymptotic formula described in [95]. A fit similar to the one described in section 8.4 is used, except that the numbers of events observed in the SR are added as an input to the fit, and an additional parameter for the non-SM signal strength, constrained to be non-negative, is fit. Upper limits at 95% confidence level (CL) on the number of non-SM events in the SRs are derived using the CLs prescription [101] and neglecting any possible signal contamination in the control regions. Normalising these by the integrated luminosity of the data sample, they can be interpreted as upper limits on the visible non-SM cross section, σ 95 vis , which is defined as the product of acceptance, reconstruction efficiency and production cross section. All systematic uncertainties and their correlations are taken into account via nuisance parameters. The accuracy of the limits obtained by the asymptotic formula was tested for all SRs by randomly generating a large number of pseudo-datasets and repeating the fit, and good agreement was found. The results are given in table 10.
In figure 6 the distributions of the relevant kinematic variables are shown for data, SM expectations and illustrative SUSY benchmark models. The SM background distributions are taken from MC simulation, except for the multi-jet contribution, which is estimated using the ABCD method described in section 8.1. The normalisation factors obtained from the fit detailed in section 8.4 are used to correct the expected distributions of the W +jets and multi-jet processes.    - 25 -In the absence of a significant excess over the SM background expectations, the observed numbers of events in the signal regions are used to place model-dependent exclusion limits at 95% CL for the pMSSM and the simplified models described in section 5.2. The same CLs limit-setting procedure as described in section 10 is used, except that the SUSY signal is allowed to populate both the signal and the control regions. All SRs defined in section 7 are considered in order to derive limits for all the SUSY models considered in this paper, regardless of the specific production mode for which they were optimised. Since the SRs are not mutually exclusive, for each point in the parameter space the SR which gives the best expected limit is used.
The results are shown in figures 7-9. The solid (dashed) lines show the observed (expected) exclusion contours. The band around the expected limit shows the ±1σ variations, including all uncertainties except theoretical uncertainties on the signal cross section. The dotted lines around the observed limit indicate the sensitivity to ±1σ variations of the theoretical uncertainties. All mass limits hereafter quoted correspond to the observed limits reduced by 1σ of the signal cross sections.

Simplified models: chargino-neutralino and chargino-chargino production
The exclusion limits for the simplified models characterised byχ ± Chargino masses up to 345 GeV are excluded for a massless lightest neutralino in the scenario of direct production of chargino pairs. In the case of associated production of mass-degenerate charginos and next-to-lightest neutralinos, chargino masses up to 410 GeV are excluded for a massless lightest neutralino. These limits improve the results from the ATLAS three-lepton analysis [37], where only production ofχ ± 1χ 0 2 was considered due to the low sensitivity to the decays ofχ ± 1χ ∓ 1 . For the scenario of direct production of chargino pairs, SR-C1C1 (SR-DS-highMass) provides the best exclusion limit for low (high) chargino masses, while for the associated production of mass-degenerate charginos and next-to-lightest neutralinos, SR-C1N2 and SR-DS-highMass have the highest sensitivity over the whole parameter space.

Direct stau production
Due to the low cross section, the sensitivity of this analysis to the direct production of stau pairs is degraded relative to the sensitivity obtained for models of electroweak production of charginos and neutralinos. Upper limits on the cross section were derived for the direct stau production model described in section 5.2, and are shown separately for the production ofτ RτR andτ LτL in figure 8. For large stau masses, SR-DS-highMass provides the best upper limits, while SR-C1C1 has the best performance for low stau masses. The results in        Figure 8. Upper limits on the cross section for production of only (a)τ RτR or (b)τ LτL pairs. SR-C1C1 lead to a stronger observed exclusion limit than expected due to the number of observed events being fewer than the SM prediction.
The signal strength is defined as the scaling factor that should be applied to the theoretical cross section to exclude the considered model at 95% CL. The upper limit on the signal strength for the associated production ofτ RτR andτ LτL , for different lightest neutralino masses and as a function of theτ R mass is shown in figure 9.
The best observed upper limit on the signal strength is found for a mass of theτ R (τ L ) of 90.6 (93.1) GeV and a masslessχ 0 1 . For this combination of stau and LSP masses, the theoretical cross section at NLO is 0.07 (0.17) pb forτ RτR (τ LτL ) production, while the excluded cross section is 0.22 (0.28) pb and the upper limit on the signal strength for the combined production ofτ RτR andτ LτL is 0.95.

The pMSSM model
Limits on the mass parameters M 2 and µ are set within the pMSSM framework with parameters described in section 5.2. In figure 10(a), the exclusion limits for the pMSSM model with fixed stau mass are shown in the µ-M 2 plane. The region at low M 2 cannot be excluded since it corresponds to points in the parameter space where the chargino and neutralino are lighter than the stau. Since in this model the cross section for direct stau production is constant, this process dominates in the remaining allowed region at large M 2 and µ. Direct stau production accounts for 60% of the events for M 2 = µ = 400 GeV, and 85% of the events for M 2 = µ = 500 GeV. Figure 10(b) shows the exclusion limits in the µ-M 2 plane for the pMSSM model with variable stau mass. For both pMSSM models, the excludedχ ± 1 (χ 0 2 ) mass range is 100-350 GeV as can be seen from the light grey iso-mass lines ofχ ± 1 (χ 0 2 ). For values of µ larger than those simulated for this analysis, the pMSSM phenomenology is similar to that studied here. For larger values of M 2 , the production cross section of heavier neutralinos and charginos increases. In general, the shown limits on the lightest chargino mass can be expected to be similar also at large µ (M 2 ) for values of M 2 (µ) in the range 150-350 (100-300) GeV.
In the pMSSM model with fixed stau mass, SR-DS-highMass provides better exclusion at high µ, M 2 . For M 2 , µ < 200 GeV, SR-C1N2 and SR-C1C1 provide the most stringent limits. In the pMSSM model with variable stau mass, SR-C1N2 and SR-DS-highMass give the best sensitivity in the whole parameter space.

Conclusion
Searches for the electroweak production of supersymmetric particles in events with at least two hadronically decaying taus, missing transverse momentum and low jet activity in the final state are performed using 20.3 fb −1 of proton-proton collision data at √ s = 8 TeV recorded with the ATLAS experiment at the Large Hadron Collider. Agreement between data and SM expectations is observed in all signal regions. These results are used to set limits on the visible cross section for events beyond the Standard Model in each signal region. Exclusion limits are placed on parameters of the pMSSM and simplified models.
For simplified models, chargino masses up to 345 GeV are excluded for a massless lightest neutralino in the scenario of direct production of wino-like chargino pairs, with each chargino decaying into the lightest neutralino via an intermediate on-shell stau. In the case of associated production of mass-degenerate charginos and next-to-lightest neutralinos, masses up to 410 GeV are excluded for a massless lightest neutralino. In pMSSM models the excludedχ ± 1 (χ 0 2 ) mass range is between 100 and 350 GeV. For direct stau production, the best upper limit on the signal strength is found for a mass of theτ R (τ L ) of 90.6 (93.1) GeV and a masslessχ 0 1 . The excluded cross section forτ RτR (τ LτL ) is 0.22 (0.28) pb for this combination of stau and lightest supersymmetric particle masses, while the theoretical cross section at NLO is 0.07 (0.17) pb.

Acknowledgements
We thank CERN for the very successful operation of the LHC, as well as the support staff from our institutions without whom ATLAS could not be operated efficiently.
We [38] CMS Collaboration, Searches for electroweak production of charginos, neutralinos, and sleptons decaying to leptons and W, Z, and Higgs bosons in pp collisions at 8 TeV, arXiv:1405.7570.