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DECam Science papers [1]

Community papers

Dark Energy Survey Collaboration papers

Community papers based in DECam:

2018

  • Bhandari et al. (2018), MNRAS, 475, 1427: The SUrvey for Pulsars and Extragalactic Radio Bursts - II. New FRB discoveries and their follow-up [2]
  • Carballo-Bello et al. (2018), MNRAS, 474, 683: Tails and streams around the Galactic globular clusters NGC 1851, NGC 1904, NGC 2298 and NGC 2808 [3]
  • Circuendez et al. (2018), A&A, 609, 53: Tracing the stellar component of low surface brightness Milky Way dwarf galaxies to their outskirts. I. Sextans [4]
  • Circuendez & Battaglia, MNRAS, 480, 251: Appearances can be deceiving: clear signs of accretion in the seemingly ordinary Sextans dSph [5]
  • Cowperthwaite et al. (2018), ApJ, 858, 18: An Empirical Study of Contamination in Deep, Rapid, and Wide-field Optical Follow-up of Gravitational Wave Events [6]
  • Dhawan et al. (2018), MNRAS 480, 1445: iPTF16abc and the population of Type Ia supernovae: comparing the photospheric, transitional, and nebular phases [7]
  • Eigenthaler et al. (2018), ApJ, 855, 142: The Next Generation Fornax Survey (NGFS). II. The Central Dwarf Galaxy Population [8]
  • Favole et al. (2018), MNRAS, 480, 1415: The mass-size relation of luminous red galaxies from BOSS and DECaLS [9]
  • Garling et al. (2018), ApJ, 852, 44: Mapping the Tidal Destruction of the Hercules Dwarf: A Wide-field DECam Imaging Search for RR Lyrae Stars [10]
  • Holman et al. (2018), ApJ, 855, L6: A Dwarf Planet Class Object in the 21:5 Resonance with Neptune [11]
  • Hood et al. (2018), ApJ, 857, 144: The Origin of Faint Tidal Features around Galaxies in the RESOLVE Survey [12]
  • Kerzendorf et al. (2018), MNRAS, 479, 192: A search for a surviving companion in SN 1006 [13]
  • Koposov et al. (2018), MNRAS, 479, 5343: Snake in the Clouds: a new nearby dwarf galaxy in the Magellanic bridge [14]
  • Kuzma et al. (2018), MNRAS, 473, 2881: The outer envelopes of globular clusters. II. NGC 1851, NGC 5824 and NGC 1261 [15]
  • Li et al. (2018), ApJ, 861, 6: The Ensemble Photometric Variability of Over 105 Quasars in the Dark Energy Camera Legacy Survey and the Sloan Digital Sky Survey [16]
  • Mackey et al. (2018), ApJL, 858, L21: Substructures and Tidal Distortions in the Magellanic Stellar Periphery [17]
  • Medina et al. (2018), ApJ, 855, 43: Discovery of Distant RR Lyrae Stars in the Milky Way Using DECam [18]
  • Muñoz et al. (2018), ApJ, 860, 65: A MegaCam Survey of Outer Halo Satellites. I. Description of the Survey [19]
  • Muñoz et al. (2018), ApJ, 860, 66: A MegaCam Survey of Outer Halo Satellites. III. Photometric and Structural Parameters [20]
  • Ordenes-Briceño et al. (2018), ApJ, 859, 52: The Next Generation Fornax Survey (NGFS). III. Revealing the Spatial Substructure of the Dwarf Galaxy Population Inside Half of Fornax's Virial Radius [21]
  • Ordenes-Briceño et al. (2018), ApJ, 860, 4: The Next Generation Fornax Survey (NGFS). IV. Mass and Age Bimodality of Nuclear Clusters in the Fornax Core Region [22]
  • Peña et al. (2018), AJ, 155, 135: Asteroids in the High Cadence Transient Survey [23]
  • Piatti et al. (2018), MNRAS, 473, 105: Star cluster formation history along the minor axis of the Large Magellanic Cloud [24]
  • Piatti & Mackey (2018), MNRAS, 478, 2164: Evidence of differential tidal effects in the old globular cluster population of the Large Magellanic Cloud [25]
  • Ross et al. (2018), MNRAS, in press: A new physical interpretation of optical and infrared variability in quasars [26]
  • Schlafly et al. (2018), ApJSS, 234, 39: The DECam Plane Survey: Optical Photometry of Two Billion Objects in the Southern Galactic Plane [27]
  • Smith et al. (2018), MNRAS, 480, 1466: Light echoes from the plateau in Eta Carinae's Great Eruption reveal a two-stage shock-powered event [28]
  • Stevans et al. (2018), ApJ, 863, 63: Bridging Star-forming Galaxy and AGN Ultraviolet Luminosity Functions at z = 4 with the SHELA Wide-field Survey [29]
  • Torrealba et al. (2018), MNRAS, 475, 5085: Discovery of two neighbouring satellites in the Carina constellation with MagLiteS [30]

 

2017

  • Abbott et al. (2017), PASA, 34, id.e012: Superluminous Supernovae at High Redshift [31]
  • Andreoni et al. (2017), PASA, 34, id.e037: Mary, a Pipeline to Aid Discovery of Optical Transients [32]
  • Cabrera-Vives et al. (2017), ApJ, 836, 97 : Deep-HiTS: Rotation Invariant Convolutional Neural Network for Transient Detection [33]
  • Calamida et al. (2017), AJ, 153, 175: The not so simple globular cluster Omega Cen. I. Spatial distribution of the multiple stellar populations [34]
  • Erkal et al. (2017), MNRAS, 470, 60: A sharper view of Pal 5's tails: discovery of stream perturbations with a novel non-parametric technique [35]
  • Johnson et al. (2017), MNRAS, 466, 129: CXOGBS J174954.5-294335: a new deeply eclipsing intermediate polar [36]
  • Mackey et al. (2017), MNRAS, 472, 2975: Structured star formation in the Magellanic inter-Cloud region [37]
  • Medina et al (2017), ApJL, 845, L10: Serendipitous Discovery of RR Lyrae Stars in the Leo V Ultra-faint Galaxy [38]
  • Monteiro-Oliveira et al. (2017), MNRAS, 468, 4566: Weak lensing and spectroscopic analysis of the nearby dissociative merging galaxy cluster Abell 3376 [39]
  • Muller et al. (2017), A&A, 497, id.A7: New low surface brightness dwarf galaxies in the Centaurus group [40]
  • Myeong et al. (2017), ApJL, 840, L25: Tidal tails around the outer halo globular clusters Eridanus and Palomar 15 [41]
  • Nidever et al. (2017), AJ, 154, 199: SMASH: Survey of the MAgellanic Stellar History [42]
  • Piatti (2017), ApJL, 834, L14: Stellar Cluster Candidates Discovered in the Magellanic System [43]
  • Raichoor et al. (2017), MNRAS, 471, 3955: The SDSS-IV extended Baryon Oscillation Spectroscopic Survey: final emission line galaxy target selection [44]
  • Shi et al. (2017), ApJ, 846, 26: Deep Imaging of the HCG 95 Field. I. Ultra-diffuse Galaxies [45] 
  • Suyu et al. (2017), MNRAS, 468, 2590: H0LiCOW - I. H0 Lenses in COSMOGRAIL's Wellspring: program overview [46]
  • Taylor et al. (2017), MNRAS, 469, 3444: The Survey of Centaurus A's Baryonic Structures (SCABS) - II. The extended globular cluster system of NGC 5128 and its nearby environment [47]
  • Trilling et al. (2017), AJ, 154, 170: The size distribution of Near Earth Objects larger than 10 meters [48]
  • Vivas et al. (2017), AJ, 154, 85: Absolute Magnitudes and Colors of RR Lyrae stars in DECam Passbands from Photometry of the Globular Cluster M5 [49]
  • Vohl et al. (2017), PASA, 34, id.e038: Enabling Near Real-Time Remote Search for Fast Transient Events with Lossy Data Compression [50]
  • Wang et al. (2017), ApJ, 839, id.27: First Discoveries of z > 6 Quasars with the DECam Legacy Survey and UKIRT Hemisphere Survey [51]
  • Zheng et al (2017), ApJL, 842, L22: First Results from the Lyman Alpha Galaxies in the Epoch of Reionization (LAGER) Survey: Cosmological Reionization at z ∼ 7 [52]

2016

  • Belardi et al. (2016), MNRAS, 462, 2506: The DECam minute cadence survey - I [53]
  • Belokurov & Koposov (2016), MNRAS, 456, 602: Stellar streams around the Magellanic Clouds [54]
  • Bettinelli et al. (2016), MNRAS, 461, L67: The Canarias Einstein Ring: a Newly Discovered Optical Einstein Ring [55]
  • Britt et al. (2016), MNRAS, 460, 2822: Discovery of a long-lived, high-amplitude dusty infrared transient [56]
  • Bruderer et al. (2016), ApJ, 817, 25: Calibrated Ultra Fast Image Simulations for the Dark Energy Survey [57]
  • Chen et al. (2016), ApJL, 827, L24: Discovery of a New Retrograde Trans-Neptunian Object: Hint of a Common Orbital Plane for Low Semimajor Axis, High-inclination TNOs and Centaurs [58]
  • Drlica-Wagner et al. (2016), ApJ, 833, L5: An Ultra-faint Galaxy Candidate Discovered in Early Data from the Magellanic Satellites Survey [59]
  • Forster et al. (2016), ApJ, 832, 155: The High Cadence Transient Survey (HITS). I. Survey Design and Supernova Shock Breakout Constraints [60]
  • Fotopoulou et al. (2016), A&A, 592, A5: The XXL Survey. VI. The 1000 brightest X-ray point sources [61]
  • Hargis et al. (2016), ApJ, 818, 39: Evidence That Hydra I is a Tidally Disrupting Milky Way Dwarf Galaxy [62]
  • Kim et al. (2016), ApJ, 820, 119: KIM 3: An Ultra-faint Star Cluster in the Constellation of Centaurus [63]
  • Kuzma et al (2016), MNRAS, 461, 3639: The outer envelopes of globular clusters – I. NGC 7089 (M2) [64]
  • Lavoie et al. (2016), MNRAS, in press: The XXL survey XV: Evidence for dry merger driven BCG growth in XXL-100-GC X-ray clusters [65]
  • Lee, Chien-Hsiu (2016), MNRAS, 462, 3006: A closer look at the Canarias Einstein ring [66]
  • Leloudas et al. (2016), Nature Astronomy, 1, 2: The superluminous transient ASASSN-15lh as a tidal disruption event from a Kerr black hole [67]
  • Mackey et al. (2016), MNRAS, 459, 239: A 10 kpc stellar substructure at the edge of the Large Magellanic Cloud: perturbed outer disc or evidence for tidal stripping? [68]
  • Martin et al. (2016), ApJL, 830, L10: SMASH 1: A Very Faint Globular Cluster Disrupting in the Outer Reaches of the LMC? [69]
  • Nugent et al (2016), AJ, 152, id.63: NEOWISE Reactivation Mission Year Two: Asteroid Diameters and Albedos [70]
  • Papovich et al (2016), ApJSS, 224, id.28: The Spitzer-HETDEX Exploratory Large-area Survey [71]
  • Roderick et al. (2016), MNRAS, 460, 30: Structural analysis of the Sextans dwarf spheroidal galaxy [72]
  • Roderick et al. (2016), MNRAS, 461, 3702: Extended stellar substructure surrounding the Boötes I dwarf spheroidal galaxy [73]
  • Sheppard et al. (2016), ApJL, 825, L13: Beyond the Kuiper Belt Edge: New High Perihelion Trans-Neptunian Objects with Moderate Semimajor Axes and Eccentricities [74]
  • Sheppard & Trujillo (2016), AJ, 152, id.221: New Extreme Trans-Neptunian Objects: Toward a Super-Earth in the Outer Solar System [75]
  • Vivas et al. (2016), AJ, 151, 118: Variable stars in the field of the Hydra II ultra-faint dwarf galaxy [76]

2015

  • Bonifacio et al. (2015), A&A, 579, L6: Chemical abundances of giant stars in the Crater stellar system [77]
  • Grillmair et al. (2015), ApJ, 812, 26: An Orphan No Longer? Detection of the Southern Orphan Stream and a Candidate Progenitor [78]
  • Kim et al. (2015), ApJL, 804, id.L44: A Hero’s Dark Horse: Discovery of an Ultra-faint Milky Way Satellite in Pegasus [79]
  • Kim et al. (2015), ApJ, 796, 871: Discovery of a Faint Outer Halo Milky Way Star Cluster in the Southern Sky [80]
  • Kim & Jerjen (2015), ApJ, 799, id.73: A Hero's Little Horse: Discovery of a Dissolving Star Cluster in Pegasus [81]
  • Kim & Jerjen (2015), ApJL, 808, id.l39: Horologium II: A Second Ultra-faint Milky Way Satellite in the Horologium Constellation [82]
  • Kirby et al. (2015), ApJ, 810, 56: Spectroscopic Confirmation of the Dwarf Galaxies Hydra II and Pisces II and the Globular Cluster Laevens 1 [83]
  • Koposov et al. (2015), ApJ, 805, id.130: Beasts of the Southern Wild : Discovery of nine Ultra Faint satellites in the vicinity of the Magellanic Clouds [84]
  • Martin et al. (2015), ApJL, 804, id.L5: Hydra II: A Faint and Compact Milky Way Dwarf Galaxy Found in the Survey of the Magellanic Stellar History [85]
  • McCleary et al (2015), ApJ, 805, id.40: Mass Substructure in Abell 3128 [86]
  • Muñoz et al. (2015), ApJ, 813, L15: Unveiling a Rich System of Faint Dwarf Galaxies in the Next Generation Fornax Survey [87]
  • Muller et al. (2015), A&A, 583, 79: New dwarf galaxy candidates in the Centaurus group [88]
  • Nugent et al. (2015), ApJ, 814, 117: NEOWISE Reactivation Mission Year One: Preliminary Asteroid Diameters and Albedos [89]
  • Roderick et al. (2015), ApJ, 804, id.134: Stellar Substructures Around the Hercules Dwarf Spheroidal Galaxy [90]
  • Romani (2015), ApJL, 812, L24: A Likely Millisecond Pulsar Binary Counterpart for Fermi Source 2FGL J2039.6-5620 [91]
  • Sand et al. (2015), ApJ, 812, L13: Antlia B: A Faint Dwarf Galaxy Member of the NGC 3109 Association [92]
  • Sheppard & Trujillo (2015), AJ, 149, id.44: Discovery and Characteristics of the Rapidly Rotating Active Asteroid (62412) 2000 SY178 in the Main Belt [93]
  • Wu et al. (2015), MNRAS, 448, 1900: Gemini spectroscopy of Galactic Bulge Sources: a population of hidden accreting binaries revealed? [94]

2014

  • Bouy et al. (2014), A&A, 564, A29: Orion revisited. II. The foreground population to Orion A [95]
  • de Gasperin et al. (2014), A&A, 568, id.A107: Discovery of the supernova remnant G351.0-5.4 [96]
  • McMonigal et al. (2014), MNRAS, 444, 3139: Sailing under the Magellanic Clouds: a DECam view of the Carina dwarf [97]
  • Prieto et al. (2014), ApJL, 787, L8: Light Echoes from eta Carinae's Great Eruption: Spectrophotometric Evolution and the Rapid Formation of Nitrogen-rich Molecules [98]
  • Trujillo & Sheppard (2014), Nature, 507, 471: A Sedna-like body with a perihelion of 80 astronomical units [99]

 

Papers from the Dark Energy Survey (DES) Collaboration:

2018

  • Abbott et al. (2018), MNRAS, in press: Dark Energy Survey Year 1 Results: A Precise H0 Estimate from DES Y1, BAO, and D/H Data [100]
  • Anguita et al. (2018), MNRAS, in press: The STRong lensing Insights into the Dark Energy Survey (STRIDES) 2016 follow-up campaign. II. New quasar lenses from double component fitting [101]
  • Avila et al. (2018), MNRAS, 479, 94: Dark Energy Survey Year-1 results: galaxy mock catalogues for BAO [102]
  • Baxter et al. (2018), MNRAS, 476, 2674: A measurement of CMB cluster lensing with SPT and DES year 1 data [103]
  • Becker et al. (2018), AJ, 156, 81: Discovery and Dynamical Analysis of an Extreme Trans-Neptunian Object with a High Orbital Inclination [104]
  • Bernstein et al. (2018), PASP, 130, 054501: Photometric Characterization of the Dark Energy Camera [105]
  • Burke et al. (2018), AJ, 155, 41: Forward Global Photometric Calibration of the Dark Energy Survey [106]
  • Chan et al. (2018), MNRAS, 480, 3031: BAO from angular clustering: optimization and mitigation of theoretical systematics [107]
  • Chang et al. (2018), MNRAS, 475, 3165: Dark Energy Survey Year 1 results: curved-sky weak lensing mass map [108]
  • Chiu et al. (2018), MNRAS, 478, 3072: Baryon content in a sample of 91 galaxy clusters selected by the South Pole Telescope at 0.2 <z < 1.25 [109]
  • Courbin et al. (2018), A&A, 609, 71: COSMOGRAIL: the COSmological MOnitoring of GRAvItational Lenses. XVI. Time delays for the quadruply imaged quasar DES J0408-5354 with high-cadence photometric monitoring [110]
  • Davis et al. (2018), MNRAS, 477, 2196: Cross-correlation redshift calibration without spectroscopic calibration samples in DES Science Verification Data [111]
  • Drlica-Wagner et al. (2108), ApJS, 235, 33: Dark Energy Survey Year 1 Results: The Photometric Data Set for Cosmology [112]
  • Fausti Neto et al. (2018), Astronomy & Computing, 24, 52: DES science portal: Creating science-ready catalogs [113]
  • Friedrich et al. (2018), Physical Review D, 98, 023508: Density split statistics: Joint model of counts and lensing in cells [114]
  • Garcia-Fernandez et al. (2018), MNRAS, 476, 1071: Weak lensing magnification in the Dark Energy Survey Science Verification data [115]
  • Gatti et al. (2018), MNRAS, 477, 1664: Dark Energy Survey Year 1 results: cross-correlation redshifts - methods and systematics characterization [116]
  • Gruen et al. (2018), Physical Review D, 98, 023507: Density split statistics: Cosmological constraints from counts and lensing in cells in DES Y1 and SDSS data [117]
  • Hoyle et al. (2108), MNRAS, 478, 592: Dark Energy Survey Year 1 Results: redshift distributions of the weak-lensing source galaxies [118]
  • Jeffrey et al. (2018), MNRAS, 479, 2871: Improving weak lensing mass map reconstructions using Gaussian and sparsity priors: application to DES SV [119]
  • Klein et al. (2018), MNRAS, 474, 3324: A multicomponent matched filter cluster confirmation tool for eROSITA: initial application to the RASS and DES-SV data sets [120]
  • Luque et al. (2018), MNRAS, 478, 2006: Deep SOAR follow-up photometry of two Milky Way outer-halo companions discovered with Dark Energy Survey [121]
  • MacCrann et al. (2018), MNRAS, in press: DES Y1 Results: Validating cosmological parameter estimation using simulated Dark Energy Surveys [122]
  • Morganson et al. (2018), PASP, 130, 074501: The Dark Energy Survey Image Processing Pipeline [123]
  • Mudd et al. (2018), ApJ, 862, 123: Quasar Accretion Disk Sizes from Continuum Reverberation Mapping from the Dark Energy Survey [124]
  • Nagasawa et al. (2018), ApJ, 852, 99: Chemical Abundance Analysis of Three alpha-poor, Metal-poor Stars in the Ultrafaint Dwarf Galaxy Horologium I [125]
  • Prat et al. (2018), MNRAS, 473, 1667: Galaxy bias from galaxy-galaxy lensing in the DES science verification data [126]
  • Rumbaugh et al. (2018), MNRAS, 473, 1667: Extreme Variability Quasars from the Sloan Digital Sky Survey and the Dark Energy Survey [127]
  • Samuroff et al. (2018), MNRAS, 475, 4524: Dark Energy Survey Year 1 results: the impact of galaxy neighbours on weak lensing cosmology with IM3SHAPE [128]
  • Shipp et al. (2018), ApJ, 862, 114: Stellar Streams Discovered in the Dark Energy Survey [129]
  • Smith et al. (2018), ApJ, 854, 37: Studying the Ultraviolet Spectrum of the First Spectroscopically Confirmed Supernova at Redshift Two [130]
  • Tarsitano et al. (2018), MNRAS, in press: A catalogue of Structural And Morphological Measurements for DES Y1 [131]
  • Troxel et al. (2018), MNRAS, 479, 4998: Survey geometry and the internal consistency of recent cosmic shear measurements [132]
  • Wethers et al. (2018), MNRAS, 475, 3682: UV-luminous, star-forming hosts of z~2 reddened quasars in the Dark Energy Survey [133]

 

2017

  • Agnello et al. (2017), MNRAS, 472, 4038: Models of the strongly lensed quasar DES J0408-5354 [134]
  • Bernstein et al. (2017), PASP, 129, pp. 074503: Astrometric Calibration and Performance of the Dark Energy Camera [135]
  • Berstein et al. (2017), PASP, 129, pp. 114502: Instrumental response model and detrending for the Dark Energy Camera [136]
  • Bufanda et al. (2017), MNRAS, 465, 2531: The evolution of active galactic nuclei in clusters of galaxies from the Dark Energy Survey [137]
  • Childress et al. (2017), MNRAS, 472, 273: OzDES multifibre spectroscopy for the Dark Energy Survey: 3-yr results and first data release [138]
  • Clampitt et al. (2017), MNRAS, 465, 4204: Galaxy-galaxy lensing in the Dark Energy Survey Science Verification data [139]
  • Clerkin et al. (2017), MNRAS, 466, 1444: Testing the lognormality of the galaxy and weak lensing convergence distributions from Dark Energy Survey maps [140]
  • Cowperthwaite et al. (2017), ApJL, 848, L17: The Electromagnetic Counterpart of the Binary Neutron Star Merger LIGO/Virgo GW170817. II. UV, Optical, and Near-infrared Light Curves and Comparison to Kilonova Models [141] 
  • Diehl et al. (2017), ApJS, 232, 15: The DES Bright Arcs Survey: Hundreds of Candidate Strongly Lensed Galaxy Systems from the Dark Energy Survey Science Verification and Year 1 Observations [142]
  • Doctor et al. (2017), ApJ, 837, id.57: A Search for Kilonovae in the Dark Energy Survey [143]
  • Etherington et al. (2017), MNRAS, 466, 228: Environmental dependence of the galaxy stellar mass function in the Dark Energy Survey Science Verification Data [144]
  • Gerdes et al. (2017), ApJL, 839, id.L15: Discovery and Physical Characterization of a Large Scattered Disk Object at 92 au [145]
  • Henning et al. (2017), MNRAS, 467, 4015: Galaxy populations in massive galaxy clusters to z = 1.1: colour distribution, concentration, halo occupation number and red sequence fraction [146]
  • Jouvel et al. (2017), MNRAS, 469, 2771: Photometric redshifts and clustering of emission line galaxies selected jointly by DES and eBOSS [147]
  • Kovacs et al. (2017), MNRAS, 465, 4166: Imprint of DES superstructures on the cosmic microwave background [148]
  • Kwan et al. (2017), MNRAS, 464, 4045: Cosmology from large-scale galaxy clustering and galaxy-galaxy lensing with Dark Energy Survey Science Verification data [149]
  • Lin et al. (2017), ApJL, 838, id.L15: Discovery of the Lensed Quasar System DES J0408-5354 [150]
  • Luque et al. (2017), MNRAS, 468, 97: The Dark Energy Survey view of the Sagittarius stream: discovery of two faint stellar system candidates [151]
  • MacCrann et al. (2017), MNRAS, 465, 2567: Inference from the small scales of cosmic shear with current and future Dark Energy Survey data [152]
  • Melchior et al. (2017), MNRAS, 469, 4899: Weak-lensing mass calibration of redMaPPer galaxy clusters in Dark Energy Survey Science Verification data [153]
  • Mudd et al. (2017), MNRAS, 468, 3682: Discovery of a z = 0.65 post-starburst BAL quasar in the DES supernova fields [154]
  • Ostrovski et al. (2017), MNRAS, 465, 4325: VDES J2325-5229 a z = 2.7 gravitationally lensed quasar discovered using morphology-independent supervised machine learning [155]
  • Palmese et al. (2017), ApJL, 849, L34: Evidence for Dynamically Driven Formation of the GW170817 Neutron Star Binary in NGC 4993 [156]
  • Pan et al. (2017), MNRAS, 470, 4271: DES15E2mlf: A Spectroscopically Confirmed Superluminous Supernova that Exploded 3.5 Gyr After the Big Bang [157]
  • Pieres et al. (2017), MNRAS, 468, 1349: A stellar overdensity associated with the Small Magellanic Cloud [158]
  • Reed et al. (2017), MNRAS, 468, 4702: Eight new luminous z ≥ 6 quasars discovered via SED model fitting of VISTA, WISE and Dark Energy Survey Year 1 observations [159]
  • Sánchez et al. (2017), MNRAS, 465, 746: Cosmic voids and void lensing in the Dark Energy Survey Science Verification data [160]
  • Saro et al. (2017), MNRAS, 468, 3347: Optical–SZE scaling relations for DES optically selected clusters within the SPT-SZ Survey [161]
  • Soares-Santos et al. (2017), ApJL, 848, L16: The Electromagnetic Counterpart of the Binary Neutron Star Merger LIGO/Virgo GW170817. I. Discovery of the Optical Counterpart Using the Dark Energy Camera [162]
  • Tie et al. (2017), AJ, 153, id.107: A Study of Quasar Selection in the Supernova Fields of the Dark Energy Survey [163]

2016

  • Abbott et al. (2016), MNRAS, 460, 1270: The Dark Energy Survey: more than dark energy - an overview [164]
  • Abbott et al. (2016), Physical Review D, 94, id.022001: Cosmology from cosmic shear with Dark Energy Survey Science Verification data [165]
  • Annis et al. (2016), ApJL, 823, L34: A Dark Energy Camera Search for Missing Supergiants in the LMC after the Advanced LIGO Gravitational-wave Event GW150914 [166]
  • Balbinot et al. (2016), ApJ, 820, 58: The Phoenix stream: a cold stream in the Southern hemisphere [167]
  • Baxter et al. (2016), MNRAS, 461, 4099: Joint measurement of lensing–galaxy correlations using SPT and DES SV data [168]
  • Becker et al. (2016), Physical Review D, 94, id.022002: Cosmic shear measurements with Dark Energy Survey Science Verification data [169]
  • Chang et al. (2016), MNRAS: Galaxy bias from the DES Science Verification data: combining galaxy density maps and weak lensing maps [170]
  • Cowperthwaite et al. (2016), ApJL, 826, L29: A DECam Search for an Optical Counterpart to the LIGO Gravitational-wave Event GW151226 [171]
  • Crocce et al. (2016), MNRAS, 455, 4301: Galaxy clustering, photometric redshifts and diagnosis of systematics in the DES Science Verification data [172]
  • Gerdes et al. (2016), AJ, 151, 39: Observation of Two New L4 Neptune Trojans in the Dark Energy Survey Supernova Fields [173]
  • Giannantonio et al. (2016), MNRAS, 456, 3213: CMB lensing tomography with the DES Science Verification galaxies [174]
  • Gruen et al. (2016), MNRAS, 455, 3367: Weak lensing by galaxy troughs in DES Science Verification data [175]
  • Jarvis et al. (2016), MNRAS: The DES Science Verification Weak Lensing Shear Catalogues [176]
  • Kacprzak et al. (2016), MNRAS, 463, 3653: Cosmology constraints from shear peak statistics in Dark Energy Survey Science Verification data [177]
  • Kirk et al. (2016), MNRAS, 459, 21: Cross-correlation of gravitational lensing from DES Science Verification data with SPT and Planck lensing [178]
  • Luque et al. (2016), MNRAS, 458. 603: Digging deeper into the Southern skies: a compact Milky-Way companion discovered in first-year Dark Energy Survey data [179]
  • Li et al. (2016), ApJ, 817, 135: Discovery of a Stellar Overdensity in Eridanus–Phoenix in the Dark Energy Survey [180]
  • Li et al. (2016), AJ, 151, id.157: Assessment of Systematic Chromatic Errors that Impact Sub-1% Photometric Precision in Large-area Sky Surveys [181]
  • Melchior et al. (2016), Astronomy and Computing, 16, 99: Crowdsourcing quality control for Dark Energy Survey images [182]
  • Nord et al. (2016), ApJ, 827, id.51: Observation and Confirmation of Six Strong-lensing Systems in the Dark Energy Survey Science Verification Data [183]
  • Palmese et al. (2016), MNRAS, in press: Comparing Dark Energy Survey and HST-CLASH observations of the galaxy cluster RXC J2248.7-4431: implications for stellar mass versus dark matter [184]
  • Pieres et al. (2016), MNRAS, 461, 519: Physical properties of star clusters in the outer LMC as observed by the DES [185]
  • Rozo et al. (2016), MNRAS, 461, 1431: redMaGiC: selecting luminous red galaxies from the DES Science Verification data [186]
  • Rykoff et al. (2016), ApJSS, 224, 1: The RedMaPPer Galaxy Cluster Catalog From DES Science Verification Data [187]
  • Soares-Santos et al. (2016), ApJL, 823, L33: A Dark Energy Camera Search for an Optical Counterpart to the First Advanced LIGO Gravitational Wave Event GW150914 [188]
  • Soergel et al. (2016), MNRAS, 461, 3172: Detection of the kinematic Sunyaev-Zel'dovich effect with DES Year 1 and SPT [189]
  • Suchyta et al. (2016), MNRAS, 457, 786: No galaxy left behind: accurate measurements with the faintest objects in the Dark Energy Survey [190]
  • Smith et al. (2016), ApJ, 818, L8: DES14X3taz: A Type I Superluminous Supernova Showing a Luminous, Rapidly Cooling Initial Pre-peak Bump [191]
  • Zhang et al. (2016), ApJ, 816, 98: Galaxies in X-Ray Selected Clusters and Groups in Dark Energy Survey Data. I. Stellar Mass Growth of Bright Central Galaxies since z~1.2 [192]

2015

  • Agnello et al. (2015), MNRAS, 454, 1260: Discovery of two gravitationally lensed quasars in the Dark Energy Survey [193]
  • Balbinot et al. (2015), MNRAS, 449, 1129: The LMC geometry and outer stellar populations from early DES data [194]
  • Banerji et al. (2015), MNRAS, 446, 2523: Combining Dark Energy Survey Science Verification data with near-infrared data from the ESO VISTA Hemisphere Survey [195]
  • Bechtol et al. (2015), ApJ, 807, 50: Eight New Milky Way Companions Discovered in First-year Dark Energy Survey Data [196]
  • Chang et al. (2015), ApJ, 801, 73: Modeling the Transfer Function for the Dark Energy Survey [197]
  • Chang et al. (2015), Physics Review Letters, 115, id.051301: Wide-Field Lensing Mass Maps from Dark Energy Survey Science Verification Data [198]
  • Drlica-Wagner et al. (2015), ApJ, 813, 109: Eight Ultra-faint Galaxy Candidates Discovered in Year Two of the Dark Energy Survey [199]
  • Drlica-Wagner et al. (2015), ApJ, 809, L4: Search for Gamma-Ray Emission from DES Dwarf Spheroidal Galaxy Candidates with Fermi-LAT Data [200]
  • Flaugher et al. (2015), AJ, 150, 150: The Dark Energy Camera [201]
  • Goldstein et al. (2015), AJ, 150, 82: Automated Transient Identification in the Dark Energy Survey [202]
  • Kessler et al. (2015), AJ, 150, 172: The Difference Imaging Pipeline for the Transient Search in the Dark Energy Survey [203]
  • Melchior et al. (2015), MNRAS, 449, 2219: Mass and galaxy distributions of four massive galaxy clusters from Dark Energy Survey Science Verification data [204]
  • Papadopoulos et al. (2015), MNRAS, 449, 1215: DES13S2cmm: the first superluminous supernova from the Dark Energy Survey [205]
  • Reed et al. (2015), MNRAS, 454, 3952: DES J0454-4448: discovery of the first luminous z ≥ 6 quasar from the Dark Energy Survey [206]
  • Saro et al. (2015), MNRAS, 454, 2305: Constraints on the richness-mass relation and the optical-SZE positional offset distribution for SZE-selected clusters [207]
  • Simon et al. (2015), ApJ, 808, 95: Stellar Kinematics and Metallicities in the Ultra-faint Dwarf Galaxy Reticulum II [208]
  • Vikram et al. (2015), Physics, Review Letters, 92, id.022006: Wide-field lensing mass maps from Dark Energy Survey science verification data: Methodology and detailed analysis [209]
  • Yuan et al. (2015), MNRAS, 452, 3047: OzDES multifibre spectroscopy for the Dark Energy Survey: first-year operation and results [210]
  • Zhang et al. (2015), PASP, 127, 1183: Crowded Cluster Cores: An Algorithm for Deblending in Dark Energy Survey Images [211]

2014

  • Sánchez et al. (2014), MNRAS, 445, 1482: Photometric redshift analysis in the Dark Energy Survey Science Verification data [212]

Source URL (modified on 08/28/2018 - 14:35): http://www.ctio.noao.edu/noao/content/DECam-Science-papers

Links
[1] http://www.ctio.noao.edu/noao/content/DECam-Science-papers
[2] http://adsabs.harvard.edu/abs/2018MNRAS.475.1427B
[3] http://adsabs.harvard.edu/abs/2018MNRAS.474..683C
[4] http://adsabs.harvard.edu/abs/2018A%26A...609A..53C
[5] http://adsabs.harvard.edu/abs/2018MNRAS.480..251C
[6] http://adsabs.harvard.edu/abs/2018ApJ...858...18C
[7] http://adsabs.harvard.edu/abs/2018MNRAS.480.1445D
[8] http://adsabs.harvard.edu/abs/2018ApJ...855..142E
[9] http://adsabs.harvard.edu/abs/2018MNRAS.480.1415F
[10] http://adsabs.harvard.edu/abs/2018ApJ...852...44G
[11] http://adsabs.harvard.edu/abs/2018ApJ...855L...6H
[12] http://adsabs.harvard.edu/abs/2018ApJ...857..144H
[13] http://adsabs.harvard.edu/abs/2018MNRAS.479..192K
[14] http://adsabs.harvard.edu/abs/2018MNRAS.479.5343K
[15] http://adsabs.harvard.edu/abs/2018MNRAS.473.2881K
[16] http://adsabs.harvard.edu/abs/2018ApJ...861....6L
[17] http://adsabs.harvard.edu/abs/2018ApJ...858L..21M
[18] http://adsabs.harvard.edu/abs/2018ApJ...855...43M
[19] http://adsabs.harvard.edu/abs/2018ApJ...860...65M
[20] http://adsabs.harvard.edu/abs/2018ApJ...860...66M
[21] http://adsabs.harvard.edu/abs/2018ApJ...859...52O
[22] http://adsabs.harvard.edu/abs/2018ApJ...860....4O
[23] http://adsabs.harvard.edu/abs/2018AJ....155..135P
[24] http://adsabs.harvard.edu/abs/2018MNRAS.473..105P
[25] http://adsabs.harvard.edu/abs/2018MNRAS.478.2164P
[26] http://adsabs.harvard.edu/doi/10.1093/mnras/sty2002
[27] http://adsabs.harvard.edu/abs/2018ApJS..234...39S
[28] http://adsabs.harvard.edu/abs/2018MNRAS.480.1466S
[29] http://adsabs.harvard.edu/abs/2018ApJ...863...63S
[30] http://adsabs.harvard.edu/abs/2018MNRAS.475.5085T
[31] http://adsabs.harvard.edu/abs/2017PASA...34...12A
[32] http://adsabs.harvard.edu/abs/2017PASA...34...37A
[33] http://adsabs.harvard.edu/abs/2017arXiv170100458C
[34] http://adsabs.harvard.edu/abs/2017arXiv170202294C
[35] http://adsabs.harvard.edu/abs/2017MNRAS.470...60E
[36] http://adsabs.harvard.edu/abs/2017MNRAS.466..129J
[37] http://adsabs.harvard.edu/abs/2017MNRAS.472.2975M
[38] http://adsabs.harvard.edu/abs/2017ApJ...845L..10M
[39] http://adsabs.harvard.edu/abs/2017MNRAS.468.4566M
[40] http://adsabs.harvard.edu/abs/2017A%26A...597A...7M
[41] http://adsabs.harvard.edu/abs/2017arXiv170407690M
[42] http://adsabs.harvard.edu/abs/2017AJ....154..199N
[43] http://adsabs.harvard.edu/abs/2017ApJ...834L..14P
[44] http://adsabs.harvard.edu/abs/2017MNRAS.471.3955R
[45] http://adsabs.harvard.edu/abs/2017ApJ...846...26S
[46] http://adsabs.harvard.edu/abs/2017MNRAS.468.2590S
[47] http://adsabs.harvard.edu/abs/2017MNRAS.469.3444T
[48] http://adsabs.harvard.edu/abs/2017arXiv170704066T
[49] http://adsabs.harvard.edu/abs/2017arXiv170703954V
[50] http://adsabs.harvard.edu/abs/2017PASA...34...38V
[51] http://adsabs.harvard.edu/abs/2017ApJ...839...27W
[52] http://adsabs.harvard.edu/abs/2017ApJ...842L..22Z
[53] http://adsabs.harvard.edu/abs/2016MNRAS.462.2506B
[54] http://adsabs.harvard.edu/abs/2016MNRAS.456..602B
[55] http://adsabs.harvard.edu/abs/2016arXiv160503938B
[56] http://adsabs.harvard.edu/abs/2016MNRAS.460.2822B
[57] http://adsabs.harvard.edu/abs/2016ApJ...817...25B
[58] http://adsabs.harvard.edu/abs/2016ApJ...827L..24C
[59] http://adsabs.harvard.edu/abs/2016ApJ...833L...5D
[60] http://adsabs.harvard.edu/abs/2016ApJ...832..155F
[61] http://adsabs.harvard.edu/abs/2016A%26A...592A...5F
[62] http://adsabs.harvard.edu/abs/2016ApJ...818...39H
[63] http://adsabs.harvard.edu/abs/2016ApJ...820..119K
[64] http://adsabs.harvard.edu/abs/2016MNRAS.461.3639K
[65] http://adsabs.harvard.edu/doi/10.1093/mnras/stw1906
[66] http://adsabs.harvard.edu/abs/2016MNRAS.462.3006L
[67] http://adsabs.harvard.edu/abs/2016NatAs...1E...2L
[68] http://adsabs.harvard.edu/abs/2016MNRAS.459..239M
[69] http://adsabs.harvard.edu/abs/2016ApJ...830L..10M
[70] http://adsabs.harvard.edu/abs/2016AJ....152...63N
[71] http://adsabs.harvard.edu/abs/2016ApJS..224...28P
[72] http://adsabs.harvard.edu/doi/10.1093/mnras/stw949
[73] http://adsabs.harvard.edu/abs/2016MNRAS.461.3702R
[74] http://adsabs.harvard.edu/abs/2016ApJ...825L..13S
[75] http://adsabs.harvard.edu/abs/2016AJ....152..221S
[76] http://adsabs.harvard.edu/abs/2015arXiv151005539V
[77] http://adsabs.harvard.edu/abs/2015A%26A...579L...6B
[78] http://adsabs.harvard.edu/abs/2015ApJ...812L..26G
[79] http://adsabs.harvard.edu/abs/2015ApJ...804L..44K
[80] http://adsabs.harvard.edu/abs/2015ApJ...803...63K
[81] http://adsabs.harvard.edu/abs/2015ApJ...799...73K
[82] http://adsabs.harvard.edu/abs/2015ApJ...808L..39K
[83] http://adsabs.harvard.edu/abs/2015ApJ...810...56K
[84] http://adsabs.harvard.edu/abs/2015ApJ...805..130K
[85] http://adsabs.harvard.edu/abs/2015ApJ...804L...5M
[86] http://adsabs.harvard.edu/abs/2015ApJ...805...40M
[87] http://adsabs.harvard.edu/abs/2015ApJ...813L..15M
[88] http://adsabs.harvard.edu/abs/2015A%26A...583A..79M
[89] http://adsabs.harvard.edu/abs/2015ApJ...814..117N
[90] http://adsabs.harvard.edu/abs/2015ApJ...804..134R
[91] http://adsabs.harvard.edu/abs/2015ApJ...812L..24R
[92] http://adsabs.harvard.edu/abs/2015ApJ...812L..13S
[93] http://adsabs.harvard.edu/abs/2015AJ....149...44S
[94] http://adsabs.harvard.edu/abs/2015MNRAS.448.1900W
[95] http://adsabs.harvard.edu/abs/2014A%26A...564A..29B
[96] http://adsabs.harvard.edu/abs/2014A%26A...568A.107D
[97] http://adsabs.harvard.edu/abs/2014MNRAS.444.3139M
[98] http://adsabs.harvard.edu/abs/2014ApJ...787L...8P
[99] http://adsabs.harvard.edu/abs/2014Natur.507..471T
[100] http://adsabs.harvard.edu/doi/10.1093/mnras/sty1939
[101] http://adsabs.harvard.edu/doi/10.1093/mnras/sty2172
[102] http://adsabs.harvard.edu/abs/2018MNRAS.479...94A
[103] http://adsabs.harvard.edu/abs/2018MNRAS.476.2674B
[104] http://adsabs.harvard.edu/abs/2018AJ....156...81B
[105] http://adsabs.harvard.edu/abs/2018PASP..130e4501B
[106] http://adsabs.harvard.edu/abs/2018AJ....155...41B
[107] http://adsabs.harvard.edu/abs/2018MNRAS.480.3031C
[108] http://adsabs.harvard.edu/abs/2018MNRAS.475.3165C
[109] http://adsabs.harvard.edu/abs/2018MNRAS.478.3072C
[110] http://adsabs.harvard.edu/abs/2018A%26A...609A..71C
[111] http://adsabs.harvard.edu/abs/2018MNRAS.477.2196D
[112] http://adsabs.harvard.edu/abs/2018ApJS..235...33D
[113] http://adsabs.harvard.edu/abs/2018A%26C....24...52F
[114] http://adsabs.harvard.edu/abs/2018PhRvD..98b3508F
[115] http://adsabs.harvard.edu/abs/2018MNRAS.476.1071G
[116] http://adsabs.harvard.edu/abs/2018MNRAS.477.1664G
[117] http://adsabs.harvard.edu/abs/2018PhRvD..98b3507G
[118] http://adsabs.harvard.edu/abs/2018MNRAS.478..592H
[119] http://adsabs.harvard.edu/abs/2018MNRAS.479.2871J
[120] http://adsabs.harvard.edu/abs/2018MNRAS.474.3324K
[121] http://adsabs.harvard.edu/abs/2018MNRAS.478.2006L
[122] http://adsabs.harvard.edu/doi/10.1093/mnras/sty1899
[123] http://adsabs.harvard.edu/abs/2018PASP..130g4501M
[124] http://adsabs.harvard.edu/abs/2018ApJ...862..123M
[125] http://adsabs.harvard.edu/abs/2018ApJ...852...99N
[126] http://adsabs.harvard.edu/abs/2018MNRAS.473.1667P
[127] http://adsabs.harvard.edu/abs/2018ApJ...854..160R
[128] http://adsabs.harvard.edu/abs/2018MNRAS.475.4524S
[129] http://adsabs.harvard.edu/abs/2018ApJ...862..114S
[130] http://adsabs.harvard.edu/abs/2018ApJ...854...37S
[131] http://adsabs.harvard.edu/doi/10.1093/mnras/sty1970
[132] http://adsabs.harvard.edu/abs/2018MNRAS.479.4998T
[133] http://adsabs.harvard.edu/abs/2018MNRAS.475.3682W
[134] http://adsabs.harvard.edu/abs/2017MNRAS.472.4038A
[135] http://adsabs.harvard.edu/abs/2017PASP..129g4503B
[136] http://adsabs.harvard.edu/abs/2017PASP..129k4502B
[137] http://adsabs.harvard.edu/abs/2017MNRAS.465.2531B
[138] http://adsabs.harvard.edu/abs/2017MNRAS.472..273C
[139] http://adsabs.harvard.edu/abs/2017MNRAS.465.4204C
[140] http://adsabs.harvard.edu/abs/2017MNRAS.466.1444C
[141] http://adsabs.harvard.edu/abs/2017ApJ...848L..17C
[142] http://adsabs.harvard.edu/abs/2017ApJS..232...15D
[143] http://adsabs.harvard.edu/abs/2017ApJ...837...57D
[144] http://adsabs.harvard.edu/abs/2017MNRAS.466..228E
[145] http://adsabs.harvard.edu/abs/2017ApJ...839L..15G
[146] http://adsabs.harvard.edu/abs/2017MNRAS.467.4015H
[147] http://adsabs.harvard.edu/abs/2017MNRAS.469.2771J
[148] http://adsabs.harvard.edu/abs/2017MNRAS.465.4166K
[149] http://adsabs.harvard.edu/abs/2017MNRAS.464.4045K
[150] http://adsabs.harvard.edu/abs/2017ApJ...838L..15L
[151] http://adsabs.harvard.edu/abs/2017MNRAS.468...97L
[152] http://adsabs.harvard.edu/abs/2017MNRAS.465.2567M
[153] http://adsabs.harvard.edu/abs/2017MNRAS.469.4899M
[154] http://adsabs.harvard.edu/abs/2017MNRAS.468.3682M
[155] http://adsabs.harvard.edu/abs/2017MNRAS.465.4325O
[156] http://adsabs.harvard.edu/abs/2017ApJ...849L..34P
[157] http://adsabs.harvard.edu/abs/2017arXiv170706649P
[158] http://adsabs.harvard.edu/abs/2017MNRAS.468.1349P
[159] http://adsabs.harvard.edu/abs/2017MNRAS.468.4702R
[160] http://adsabs.harvard.edu/abs/2017MNRAS.465..746S
[161] http://adsabs.harvard.edu/abs/2017MNRAS.468.3347S
[162] http://adsabs.harvard.edu/abs/2017ApJ...848L..16S
[163] http://adsabs.harvard.edu/abs/2017AJ....153..107T
[164] http://adsabs.harvard.edu/doi/10.1093/mnras/stw641
[165] http://adsabs.harvard.edu/abs/2016PhRvD..94b2001A
[166] http://adsabs.harvard.edu/abs/2016ApJ...823L..34A
[167] http://adsabs.harvard.edu/abs/2015arXiv150904283B
[168] http://adsabs.harvard.edu/abs/2016MNRAS.461.4099B
[169] http://adsabs.harvard.edu/abs/2016PhRvD..94b2002B
[170] http://adsabs.harvard.edu/doi/10.1093/mnras/stw861
[171] http://adsabs.harvard.edu/abs/2016ApJ...826L..29C
[172] http://adsabs.harvard.edu/abs/2016MNRAS.455.4301C
[173] http://adsabs.harvard.edu/abs/2016AJ....151...39G
[174] http://adsabs.harvard.edu/abs/2016MNRAS.456.3213G
[175] http://adsabs.harvard.edu/abs/2016MNRAS.455.3367G
[176] http://adsabs.harvard.edu/doi/10.1093/mnras/stw990
[177] http://adsabs.harvard.edu/doi/10.1093/mnras/stw2070
[178] http://adsabs.harvard.edu/abs/2016MNRAS.459...21K
[179] http://adsabs.harvard.edu/doi/10.1093/mnras/stw302
[180] http://adsabs.harvard.edu/abs/2016ApJ...817..135L
[181] http://adsabs.harvard.edu/abs/2016AJ....151..157L
[182] http://adsabs.harvard.edu/abs/2016A%26C....16...99M
[183] http://adsabs.harvard.edu/abs/2016ApJ...827...51N
[184] http://adsabs.harvard.edu/doi/10.1093/mnras/stw2062
[185] http://adsabs.harvard.edu/abs/2016MNRAS.461..519P
[186] http://adsabs.harvard.edu/abs/2016MNRAS.461.1431R
[187] http://adsabs.harvard.edu/abs/2016ApJS..224....1R
[188] http://adsabs.harvard.edu/abs/2016ApJ...823L..33S
[189] http://adsabs.harvard.edu/abs/2016MNRAS.461.3172S
[190] http://adsabs.harvard.edu/abs/2016MNRAS.457..786S
[191] http://adsabs.harvard.edu/abs/2016ApJ...818L...8S
[192] http://adsabs.harvard.edu/abs/2016ApJ...816...98Z
[193] http://adsabs.harvard.edu/abs/2015MNRAS.454.1260A
[194] http://adsabs.harvard.edu/abs/2015MNRAS.449.1129B
[195] http://adsabs.harvard.edu/abs/2015MNRAS.446.2523B
[196] http://adsabs.harvard.edu/abs/2015ApJ...807...50B
[197] http://adsabs.harvard.edu/abs/2015ApJ...801...73C
[198] http://adsabs.harvard.edu/abs/2015PhRvL.115e1301C
[199] http://adsabs.harvard.edu/abs/2015ApJ...813..109D
[200] http://adsabs.harvard.edu/abs/2015ApJ...809L...4D
[201] http://adsabs.harvard.edu/abs/2015AJ....150..150F
[202] http://adsabs.harvard.edu/abs/2015AJ....150...82G
[203] http://adsabs.harvard.edu/abs/2015AJ....150..172K
[204] http://adsabs.harvard.edu/abs/2015MNRAS.449.2219M
[205] http://adsabs.harvard.edu/abs/2015MNRAS.449.1215P
[206] http://adsabs.harvard.edu/abs/2015MNRAS.454.3952R
[207] http://adsabs.harvard.edu/abs/2015MNRAS.454.2305S
[208] http://adsabs.harvard.edu/abs/2015ApJ...808...95S
[209] http://adsabs.harvard.edu/abs/2015PhRvD..92b2006V
[210] http://adsabs.harvard.edu/abs/2015MNRAS.452.3047Y
[211] http://adsabs.harvard.edu/abs/2015PASP..127.1183Z
[212] http://adsabs.harvard.edu/abs/2014MNRAS.445.1482S