Publicações

Publicações com participação de afiliados ao LIneA (2008 – Presente) 233

Submetidos 32

  1. Galaxies in X-ray Selected Clusters and Groups in Dark Energy Survey Data II: Hierarchical Bayesian Modeling of Red-Sequence Galaxy Luminosity Function. Zhang, Y. et al. 2017, . arXiv Edit iconRemove icon
  2. How Many Kilonovae Can Be Found in Past, Present, and Future Survey Datasets? Scolnic, D. et al. 2017, ApJL. arXiv Edit iconRemove icon
  3. Density Split Statistics: Joint Model of Counts and Lensing in Cells. Friedrich, O. et al. 2017, PhRvD. arXiv Edit iconRemove icon
  4. Density split statistics: Cosmological constraints from counts and lensing in cells in DES Y1 and SDSS. Gruen, D. et al. 2017, . arXiv Edit iconRemove icon
  5. Dark Energy Survey Year 1 Results: Cross-Correlation Redshifts in the DES -- Calibration of the Weak Lensing Source Redshift Distributions. Davis, C. et al. 2017, MNRAS. arXiv Edit iconRemove icon
  6. Deep SOAR Follow-up Photometry of two Milky Way outer-halo Companions Discovered with Dark Energy Survey. Luque, E. et al. 2017, MNRAS. arXiv Edit iconRemove icon
  7. SSDSS IV MaNGA - Properties of AGN Host Galaxies. Sanchez, S.F. et al. 2017, RMxAA. arXiv Edit iconRemove icon
  8. Dark Energy Survey Year 1 Results: Cross-Correlation Redshifts - Methods and Systematics Characterization. Gatti, M. et al. 2017, MNRAS. arXiv Edit iconRemove icon
  9. DES Science Portal: I - Computing Photometric Redshifts. Gschwend, J. et al. 2017, Astronomy & Computing. arXiv Edit iconRemove icon
  10. DES Science Portal: II- Creating Science-Ready Catalogs. Fausti Neto, A. et al. 2017, Astronomy & Computing. arXiv Edit iconRemove icon
  11. Chemical Abundance Analysis of Three alpha-Poor, Metal-Poor Stars in the Ultra-Faint Dwarf Galaxy Horologium I. Nagasawa, D.Q. et al. 2017, ApJ. arXiv Edit iconRemove icon
  12. Dark Energy Survey Year 1 Results: Cosmological Constraints from Cosmic Shear. Troxel, M.A. et al. 2017, PhRvD. arXiv Edit iconRemove icon
  13. Dark Energy Survey Year 1 Results: Galaxy-Galaxy Lensing. Prat, J. et al. 2017, PhRvD. arXiv Edit iconRemove icon
  14. Dark Energy Survey Year 1 Results: Galaxy Clustering for Combined Probes. Elvin-Poole, J. et al. 2017, . arXiv Edit iconRemove icon
  15. Dark Energy Survey Year 1 Results: Curved-Sky Weak Lensing Mass Map. Chang, C. et al. 2017, MNRAS. arXiv Edit iconRemove icon
  16. Dark Energy Survey Year 1 Results: The Impact of Galaxy Neighbours on Weak Lensing Cosmology with im3shape. Samuroff, S. et al. 2017, MNRAS. arXiv Edit iconRemove icon
  17. Dark Energy Survey Year 1 Results: Weak Lensing Shape Catalogues. Zuntz, J. et al. 2017, MNRAS. arXiv Edit iconRemove icon
  18. Dark Energy Survey Year 1 Results: Redshift Distributions of the Weak Lensing Source Galaxies. Hoyle, B. et al. 2017, MNRAS. arXiv Edit iconRemove icon
  19. Dark Energy Survey Year 1 Results: Photometric Data Set for Cosmology. Drlica-Wagner, A. et al. 2017, ApJS. arXiv Edit iconRemove icon
  20. Dark Energy Survey Year 1 Results: Cosmological Constraints from Galaxy. Abbott, T.M.C. et al. 2017, . arXiv Edit iconRemove icon
  21. A Measurement of CMB Cluster Lensing with SPT and DES Year 1 Data. Baxter, E.J. et al. 2017, MNRAS. arXiv Edit iconRemove icon
  22. The Fourteenth Data Release of the Sloan Digital Sky Survey: First Spectroscopic Data from the extended Baryon Oscillation Sky Survey and from the second phase of the Apache Point Observatory Galactic Abolfathi, B. et al. 2017, ApJS. arXiv Edit iconRemove icon
  23. Evolution of Galaxy Luminosity and Stellar-Mass Functions since z=1 with the Dark Energy Survey Science Verification Data. Capozzi, D. et al. 2017, MNRAS. arXiv Edit iconRemove icon
  24. Cross-Correlation Redshift Calibration Without Spectroscopic Calibration Samples in DES Science Verification Data. Davis, C. et al. 2017, MNRAS. arXiv Edit iconRemove icon
  25. Dark Energy Survey Year 1 Results: Multi-Probe Methodology and Simulated Likelihood Analyses. Krause, E. et al. 2017, . arXiv Edit iconRemove icon
  26. Extreme variability quasars from the Sloan Digital Sky Survey and the Dark Energy Survey. Rumbaugh, N. et al. 2017, ApJ. arXiv Edit iconRemove icon
  27. A Multi-component Matched Filter Cluster Confirmation Tool for eROSITA: Initial Application to the RASS and DES-SV Datasets. Klein, M. et al. 2017, MNRAS. arXiv Edit iconRemove icon
  28. Forward Global Photometric Calibration of the Dark Energy Survey. Burke, D. et al. 2017, AJ. arXiv Edit iconRemove icon
  29. Magnification in the Dark Energy Survey Science Verification Data. Garcia-Fernandez, M. et al. 2017, MNRAS. arXiv Edit iconRemove icon
  30. The DESI Experiment Part II: Instrument Design. Aghamousa, A. et al. 2016, . arXiv Edit iconRemove icon
  31. The DESI Experiment Part I: Science,Targeting, and Survey Design. Aghamousa, A. et al. 2016, . arXiv Edit iconRemove icon
  32. The Clustering of Luminous Red Galaxies at z ~ 0.7 from eBOSS Data. Zhai, Z. et al. 2016, ApJ. arXiv Edit iconRemove icon

Aceitos 07

  1. A Gravitational-wave Standard Siren Measurement of the Hubble Constant. Abbott, B.P. et al. 2017, Nature. arXiv Edit iconRemove icon
  2. Cartography of Triangulum-Andromeda Using SDSS Stars. Perottoni, H.D. et al. 2017, MNRAS. arXiv Edit iconRemove icon
  3. The DR14 APOGEE-TGAS catalogue: Precise Chemo-kinematics in the Extended Solar Vicinity. Anders, F. et al. 2017, IAU Symposium 334 Rediscovering our Galaxy. arXiv Edit iconRemove icon
  4. Atypical Mg-poor Milky Way Field Stars With Globular Cluster Second-generation Like Chemical Patterns. Fernández-Trincado, J.G. et al. 2017, ApJL. arXiv Edit iconRemove icon
  5. COSMOGRAIL XVI: Time Delays for the Quadruply Imaged Quasar DES J0408-5354 with High-cadence Photometric Monitoring. Courbin, F. et al. 2017, A&A. arXiv Edit iconRemove icon
  6. The Thirteenth Data Release of the Sloan Digital Sky Survey: First Spectroscopic Data from the SDSS-IV Survey MApping Nearby Galaxies at Apache Point Observatory. Albareti, F.D. et al. 2017, ApJS. arXiv Edit iconRemove icon
  7. Galaxy Bias From Galaxy-galaxy Lensing in the DES Science Verification Data. Prat, J. et al. 2016, MNRAS. arXiv Edit iconRemove icon

Publicados 194

  1. The First 62 AGN Observed with SDSS-IV MaNGA - I: their Characterization and Definition of a Control Sample. Rembold, S. et al. 2017, MNRAS, 472, 4382.Edit iconRemove icon
  2. Models of the Strongly Lensed Quasar DES J0408-5354. Agnello, A. et al. 2017, MNRAS, 472, 4038.Edit iconRemove icon
  3. DES15E2mlf: a Spectroscopically Confirmed Superluminous Supernova that Exploded 3.5 Gyr After the Big Bang. Pan, Y.-C et al. 2017, MNRAS, 470, 4241.Edit iconRemove icon
  4. Galaxy Populations in Massive Galaxy Clusters to z=1.1: Color Distribution, Concentration, Halo Occupation Number and Red Sequence Fraction. Hennig, C. et al. 2017, MNRAS, 467, 4015.Edit iconRemove icon
  5. SDSS-IV MaNGA: Spatially Resolved Star Formation Histories in Galaxies as a Function of Galaxy Mass and Type. Goddard, D. et al. 2017, MNRAS, 466, 4731.Edit iconRemove icon
  6. The Evolution of Active Galactic Nuclei in Clusters of Galaxies from the Dark Energy Survey. Bufanda, E. et al. 2017, MNRAS, 465, 2531.Edit iconRemove icon
  7. Photometric Redshifts and Clustering of Emission Line Galaxies Selected Jointly by DES and eBOSS. Jouvel, S. et al. 2017, MNRAS, 469, 2771.Edit iconRemove icon
  8. Testing the Lognormality of the Galaxy and Weak Lensing Convergence Distributions from Dark Energy Survey Maps. Clerkin, L. et al. 2017, MNRAS, 466, 1444.Edit iconRemove icon
  9. Eight New Luminous z > 6 Quasars Selected via SED Model Fitting of VISTA, WISE and Dark Energy Survey Year 1 Observations. Reed, S.L. et al. 2017, MNRAS, 468, 4702.Edit iconRemove icon
  10. Discovery of a z=0.65 Post-Starburst BAL Quasar in the DES Supernova Fields. Mudd, D. et al. 2017, MNRAS, 468, 3682.Edit iconRemove icon
  11. Optical-SZE Scaling Relations for DES Optically Selected Clusters within the SPT-SZ Survey. Saro, A. et al. 2017, MNRAS, 468, 3347.Edit iconRemove icon
  12. A Stellar Over-density Associated with the Small Magellanic Cloud. Pieres, A. et al. 2017, MNRAS, 468, 1349.Edit iconRemove icon
  13. The Dark Energy Survey View of the Sagittarius Stream: Discovery of Two Faint Stellar System Candidates. Luque, E. et al. 2017, MNRAS, 468, 97.Edit iconRemove icon
  14. Exploring the Brown Dwarf Desert: New Substellar Companions from the SDSS-III MARVELS Survey. Grieves, N. 2017, MNRAS, 467, 4262.Edit iconRemove icon
  15. Zooming Into Local Active Galactic Nuclei: The power of combining SDSS-IV MaNGA With Higher Resolution Integral Field Unit Observations. Wylezalek, D. et al. 2017, MNRAS, 467, 2612.Edit iconRemove icon
  16. OzDES Multifibre Spectroscopy for the Dark Energy Survey: Three Year Results and First Data Release. Childress, M.J. et al. 2017, MNRAS, 472, 273.Edit iconRemove icon
  17. Weak-lensing Mass Calibration of redMaPPer Galaxy Clusters in Dark Energy Survey Science Verification Data. Melchior, P. et al. 2017, MNRAS, 469, 4899.Edit iconRemove icon
  18. Cardinal kinematics: I. Rotation Fields of the APOGEE Survey. Kordopatis, G. et al. 2017, MNRAS, 467, 469.Edit iconRemove icon
  19. SDSS-IV MaNGA: The Impact of Diffuse Ionized Gas on Emission-line Ratios, Interpretation of Diagnostic Diagrams, and Gas Metallicity Measurements. Zhang, K. et al. 2017, MNRAS, 466, 3217.Edit iconRemove icon
  20. Environmental Dependence of the Galaxy Stellar Mass Function in the Dark Energy Survey Science Verification Data. Etherington, J. et al. 2017, MNRAS, 466, 228.Edit iconRemove icon
  21. SDSS-IV MaNGA: Environmental Dependence of Stellar Age and Metallicity Gradients in Nearby Galaxies. Zheng, Z. et al. 2017, MNRAS, 465, 4572.Edit iconRemove icon
  22. Galaxy-Galaxy Lensing in the DES Science Verification Data. Clampitt, J. et al. 2017, MNRAS, 465, 4204.Edit iconRemove icon
  23. Imprint of DES Super-structures on the Cosmic Microwave Background. Kovács, A. et al. 2017, MNRAS, 465, 4166.Edit iconRemove icon
  24. VDES J2325-5229 a z=2.7 Gravitationally Lensed Quasar Discovered Using Morphology Independent Supervised Machine Learning. Ostrovski, F. et al. 2017, MNRAS, 465, 4325.Edit iconRemove icon
  25. Inference From the Small Scales of Cosmic Shear With Current and Future Dark Energy Survey Data. MacCrann, N. et al. 2017, MNRAS, 465, 2567.Edit iconRemove icon
  26. Red Giants Observed by CoRoT and APOGEE: The Evolution of the Milky Way\'s Radial Metallicity Gradient. Anders, F. et al. 2017, A&A, 600, 70.Edit iconRemove icon
  27. SDSS-IV MaNGA: Deep Observations of Extra-planar, Diffuse Ionized Gas Around Late-type Galaxies From Stacked IFU Spectra. Jones, A. et al. 2017, A&A, 599, 141.Edit iconRemove icon
  28. Galactic Archaeology with Asteroseismology and Spectroscopy: Red Giants Observed by CoRoT and APOGEE. Anders, F. et al. 2017, A&A, 597, 30.Edit iconRemove icon
  29. Chemical trends in the Galactic Halo from APOGEE data. Fernández-Alvar, E. 2017, MNRAS, 465, 1586.Edit iconRemove icon
  30. Cosmic Voids and Void Lensing in the Dark Energy Survey Science Verification Data. Sánchez, C. et al. 2017, MNRAS, 465,746.Edit iconRemove icon
  31. SDSS-IV MaNGA: Stellar Population Gradients as a Function of Galaxy Environment. Goddard, D. et al. 2017, MNRAS, 465, 688.Edit iconRemove icon
  32. Cosmology From Large Scale Galaxy Clustering and Galaxy-Galaxy Lensing With Dark Energy Survey Science Verification data. Kwan, J. et al. 2017, MNRAS, 464, 4045.Edit iconRemove icon
  33. Multi-messenger Observations of a Binary Neutron Star Merger. Abbott, B.P. et al. 2017, ApJL, 848, L12.Edit iconRemove icon
  34. The Electromagnetic Counterpart of the Binary Neutron Star Merger LIGO/Virgo GW170817. I. Discovery of the Optical Counterpart Using the Dark Energy Camera. Soares-Santos, M. et al. 2017, ApJL, 848, L16.Edit iconRemove icon
  35. 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. Cowperthwaite, P.S. et al. 2017, ApJL, 848, L17.Edit iconRemove icon
  36. Discovery and Physical Characterization of a Large Scattered Disk Object at 92 AU. Gerdes, D. et al. 2017, ApJL, 939L, 15.Edit iconRemove icon
  37. Discovery of the Lensed Quasar System DES J0408-5354. Lin, H. et al. 2017, ApJL, 838, L15.Edit iconRemove icon
  38. The DES Bright Arcs Survey: Hundreds of Candidate Strongly Lensed Galaxy Systems from the Dark Energy Survey Science Verification and Year 1 Observations. Diehl, H.T. et al. 2017, ApJS, 232, 15.Edit iconRemove icon
  39. Core or Cusps: The Central Dark Matter Profile of a Redshift One Strong Lensing Cluster With a Bright Central Image. Collett, T.F. et al. 2017, ApJ, 843, 148.Edit iconRemove icon
  40. SDSS IV MaNGA - Rotation Velocity Lags in the Extraplanar Ionized Gas from MaNGA Observations of Edge-on Galaxies. Bizyaev, D. et al. 2017, MNRAS, 839, 87.Edit iconRemove icon
  41. An R-process enhanced star in the dwarf galaxy Tucana III. Hansen, T.T. et al. 2017, ApJ, 838, 44.Edit iconRemove icon
  42. Farthest Neighbor: The Distant Milky Way Satellite Eridanus II. Li, T.S. et al. 2017, ApJ, 838, 8.Edit iconRemove icon
  43. A Search for Kilonovae in the Dark Energy Survey. Doctor, Z. et al. 2017, ApJ, 837, 57.Edit iconRemove icon
  44. Nearest Neighbor: The Low-Mass Milky Way Satellite Tucana III. Simon, J.D. et al. 2017, ApJ, 838,11.Edit iconRemove icon
  45. Searching for Dark Matter Annihilation in Recently Discovered Milky Way Satellites with Fermi-LAT. Albert, A. et al. 2017, ApJ, 834, 110.Edit iconRemove icon
  46. The Apache Point Observatory Galactic Evolution Experiment (APOGEE). Majewski, S.R. et al. 2017, AJ, 154, 94.Edit iconRemove icon
  47. Sloan Digital Sky Survey IV: Mapping the Milky Way, Nearby Galaxies and the Distant Universe. Blanton, M.R. et al. 2017, AJ, 154, 28.Edit iconRemove icon
  48. A Study of Quasar Selection in the Supernova Fields of the Dark Energy Survey. Tie, S.S. et al. 2017, ApJ, 153, 107.Edit iconRemove icon
  49. Redshift Measurement and Spectral Classification for eBOSS Galaxies with the Redmonster Software. Hutchinson, T. et al. 2017, AJ, 152, 205.Edit iconRemove icon
  50. Astrometric Calibration and Performance of the Dark Energy Camera. Bernstein, G. M. et al. 2017, PASP, 129, 4503.Edit iconRemove icon
  51. DESAlert: Enabling Real-Time Transient Follow-Up with Dark Energy Survey Data. Poci, A. et al. 2016, PASA, 33, 49.Edit iconRemove icon
  52. Crowdsourcing Quality Control for Dark Energy Survey Images. Melchior, P. et al. 2016, Astronomy & Computing, 16, 99.Edit iconRemove icon
  53. The Growth of the Central Region by Acquisition of Counter-rotating Gas in Star-forming Galaxies. Chen, Y. et al. 2016, Nature Communications, 7:13269.Edit iconRemove icon
  54. Red Clump Stars. Girardi, L. 2016, ARA&Ap, 54, 95.Edit iconRemove icon
  55. The SDSS-IV eBOSS Emission-line Galaxy Pilot Survey. Comparat, J. et al. 2016, A&A, 592, A121.Edit iconRemove icon
  56. Spectrophotometric Distances: a Bayesian Approach for Optical and NIR data. Santiago, B. X. et al. 2016, A&A, 585, 42.Edit iconRemove icon
  57. Galactic Archaeology with CoRoT and APOGEE: Creating Mock Observations From a Chemodynamical Model. Anders, F. et al. 2016, Astron. Nachr., 337, 926.Edit iconRemove icon
  58. Milky Way populations with TRILEGAL. Girardi, L. et al. 2016, Astron. Nachr., 337, 871.Edit iconRemove icon
  59. Cosmology Constraints From Shear Peak Statistics in Dark Energy Survey Science Verification Data. Kacprzak, T. et al. 2016, MNRAS, 463, 3653.Edit iconRemove icon
  60. Comparing Dark Energy Survey and HST-CLASH Observations of the Galaxy Cluster RXC J2248.7-4431: Implications for Stellar Mass Versus Dark Matter. Palmese, A. et al. 2016, MNRAS, 463, 1486.Edit iconRemove icon
  61. SDSS-IV MaNGA: Properties of Galaxies with Kinematically Decoupled Stellar and Gaseous Components. Jin, Y. et al. 2016, MNRAS, 463, 913.Edit iconRemove icon
  62. The XMM Cluster Survey: Evolution of the Velocity Dispersion - Temperature Relation Over Half a Hubble Time. Wilson, S. et al. 2016, MNRAS, 463, 413.Edit iconRemove icon
  63. New Orbits of Irregular Satellites Designed for the Predictions of Stellar Occultations up to 2020, Based on Thousands of New Observations. Gomes-Júnior, A.R. et al. 2016, MNRAS, 462, 1351.Edit iconRemove icon
  64. Detection of the Kinematic Sunyaev-Zel\'dovich Effect with DES Year 1 and SPT. Soergel, B. et al. 2016, MNRAS, 461, 3172.Edit iconRemove icon
  65. Physical Properties of Star Clusters in the Outer LMC as Observed by the Dark Energy Survey. Pieres et al. 2016, MNRAS, 461,519.Edit iconRemove icon
  66. The DES Science Verification Weak Lensing Shear Catalogs. Jarvis, M. et al. 2016, MNRAS, 460, 2245.Edit iconRemove icon
  67. The Dark Energy Survey: More Than Dark Energy - An Overview. Dark Energy Survey Collaboration: Abbott, T. et al. 2016, MNRAS, 460, 1270.Edit iconRemove icon
  68. Galaxy Bias From the DES Science Verification Data: Combining Galaxy Density Maps and Weak Lensing Maps. Chang, C. et al. 2016, MNRAS, 459, 3203.Edit iconRemove icon
  69. Cross-correlation of Gravitational Lensing From DES Science Verification Data With SPT and Planck Lensing. Kirk, D. et al. 2016, MNRAS, 459, 21.Edit iconRemove icon
  70. Digging Deeper Into the Southern Skies: A Compact Milky-Way Companion Discovered in First-year Dark Energy Survey Data. Luque, E. et al. 2016, MNRAS, 458, 603.Edit iconRemove icon
  71. No Galaxy Left Behind: Accurate Measurements with the Faintest Objects in the Dark Energy Survey. Suchyta, E. et al. 2016, MNRAS, 457, 786.Edit iconRemove icon
  72. CMB Lensing Tomography with the DES Science Verification Galaxies. Giannantonio, T. et al. 2016, MNRAS, 456, 3213.Edit iconRemove icon
  73. The SDSS-III BOSS Quasar Lens Survey: Discovery of Thirteen Gravitationally Lensed Quasars. More, A. et al. 2016, MNRAS, 456, 1595.Edit iconRemove icon
  74. Galaxy Clustering, Photometric Redshifts and Diagnosis of Systematics in the DES Science Verification Data. Crocce, M. et al. 2016, MNRAS, 455, 4301.Edit iconRemove icon
  75. Weak Lensing by Galaxy Troughs in DES Science Verification Data. Gruen, D. et al. 2016, MNRAS, 455, 3367.Edit iconRemove icon
  76. Joint Analysis of Galaxy-Galaxy Lensing and Galaxy Clustering: Methodology and Forecasts for DES. Park, Y. et al. 2016, PhRvD, 94, 063533.Edit iconRemove icon
  77. Redshift Distributions of Galaxies in the DES Science Verification Shear Catalogue and Implications for Weak Lensing. Bonnett, C. et al. 2016, PhRvD, 94, 042005.Edit iconRemove icon
  78. Cosmic Shear Measurements with DES Science Verification Data. Becker, M.R. et al. 2016, PhRvD, 94, 022002.Edit iconRemove icon
  79. Cosmology from Cosmic Shear with DES Science Verification Data. Abbott, T. et al. 2016, PhRvD, D94, 022001.Edit iconRemove icon
  80. An Ultra-Faint Galaxy Candidate Discovered in Early Data from the Magellanic Satellites Survey. Drlica-Wagner, A. et al. 2016, ApJL, 833, L5.Edit iconRemove icon
  81. A DECam Search for an Optical Counterpart to the LIGO Gravitational Wave Event GW151226. Cowperthwaite, P. et al. 2016, ApJL, 826, L29.Edit iconRemove icon
  82. Localization and Broadband Follow-up of the Gravitational-wave Transient GW150914. Abbott, B.P. et al. 2016, ApJL, 826, L13.Edit iconRemove icon
  83. A Dark Energy Camera Search for Missing Supergiants in the LMC After the Advanced LIGO Gravitational Wave Event GW150914. Annis, J. et al. 2016, ApJ, 823L, 34.Edit iconRemove icon
  84. A Dark Energy Camera Search for an Optical Counterpart to the First Advanced LIGO Gravitational Wave Event GW150914. Soares-Santos, M. et al. 2016, ApJ, 823L, 33.Edit iconRemove icon
  85. Pluto’s Atmosphere form the 2015 June 29 Ground-based Stellar Occultation at the Time of The New Horizons Flyby. Sicardy, B. et al. 2016, ApJL, 819, L38.Edit iconRemove icon
  86. DES14X3taz: A Type I Superluminous Supernova Showing a Luminous, Rapidly Cooling Initial Pre-Peak Bump. Smith, M. et al. 2016, ApJL, 818, 8.Edit iconRemove icon
  87. On the Dependence of the Type Ia SNe Luminosities on the Metallicity of Their Host Galaxies. Moreno-Raya, M.E. et al. 2016, ApJL, 818, L19.Edit iconRemove icon
  88. Discovery of a Metal-Poor Field Giant with a Globular Cluster Second- Generation Abundance Pattern. Fernandez-Trincado, J.G. et al. 2016, ApJ, 833, 132.Edit iconRemove icon
  89. Mapping and Simulating Systematics due to Spatially-varying Observing Conditions in the Dark Energy Survey. Leistedt, B. et al. 2016, MNRAS, 226, 24.Edit iconRemove icon
  90. Supplement: Localization and Broadband Follow-up of the Gravitational-wave Transient GW150914. Abbott, B.P. et al. 2016, ApJS, 225, 8.Edit iconRemove icon
  91. The SDSS-IV extended Baryonic Oscillation Spectroscopic Survey: Luminous Red Galaxy Target Selection. Prakash, A. et al. 2016, ApJS, 224, 34.Edit iconRemove icon
  92. The RedMaPPer Galaxy Cluster Catalog From DES Science Verification Data. Rykoff, E.S. et al. 2016, ApJS, 224S, 1.Edit iconRemove icon
  93. SDSS-IV MaNGA: A Serendipitous Observation of Warm Gas Accretion. Cheung, E. et al. 2016, ApJL, 832, 182.Edit iconRemove icon
  94. Discovery of a Stellar Overdensity in Eridanus-Phoenix in the Dark Energy Survey. Li, T.S. et al. 2016, ApJ, 817, 135.Edit iconRemove icon
  95. Determining Ages of APOGEE Giants with Known Distances. Feuillet, D. et al. 2016, ApJ, 817, 40.Edit iconRemove icon
  96. Galaxies in X-ray Selected Clusters and Groups in Dark Energy Survey Data: Stellar Mass Growth of Bright Central Galaxies Since z~1.2. Zhang, Y. et al. 2016, ApJ, 816, 98.Edit iconRemove icon
  97. Host Galaxy Identification for Supernova Surveys. Gupta, R. et al. 2016, AJ, 152, 154.Edit iconRemove icon
  98. Very Low-Mass Stellar and Substellar Companions to Solar-like Stars From MARVELS VI: A Giant Planet and a Brown Dwarf Candidate in a Close Binary System HD 87646. Ma, B. et al. 2016, AJ, 152, 112.Edit iconRemove icon
  99. Assessment of Systematic Chromatic Errors that Impact Sub-1% Photometric Precision in Large-Area Sky Surveys. Li, T.S. et al. 2016, AJ, 151, 157.Edit iconRemove icon
  100. The SDSS-IV extended Baryon Oscillation Spectroscopic Survey: Overview and Early Data. Dawson, K.S. et al. 2016, AJ, 151, 44.Edit iconRemove icon
  101. Observation of Two New L4 Neptune Trojans in the Dark Energy Survey Supernova Fields. Gerdes, D.W. et al. 2016, AJ, 151, 39.Edit iconRemove icon
  102. Joint Measurement of Lensing-Galaxy Correlations Using SPT and DES SV Data. Baxter, E.J. et al. 2016, MNRAS, 461, 4099.Edit iconRemove icon
  103. Evidence for a Metal-poor Population in the Inner Galactic Bulge. Schultheis, M. et al. 2015, A&A, 584, 45.Edit iconRemove icon
  104. Young [alpha/Fe]-enhanced stars discovered by CoRoT and APOGEE: What is their origin? Chiappini, C. et al. 2015, A&A, 576, 12.Edit iconRemove icon
  105. Baryon Acoustic Oscillations in the Ly-alpha forest of BOSS DR11 quasars. Delubac, T. et al. 2015, A&A, 574.Edit iconRemove icon
  106. redMaGiC: Selecting Luminous Red Galaxies from the DES Science Verification Data. Rozo, E. et al. 2015, MNRAS, 461, 1431.Edit iconRemove icon
  107. Constraints on the Richness-Mass Relation and the Optical-SZE Positional Offset Distribution for SZE-Selected Clusters. Saro, A. et al. 2015, MNRAS, 454, 2305.Edit iconRemove icon
  108. Discovery of two gravitationally lensed quasars in the Dark Energy Survey. Agnello, A. et al. 2015, MNRAS, 454, 1260.Edit iconRemove icon
  109. OzDES multi-fibre spectroscopy for the Dark Energy Survey: First-year operation and results. Yuan, F. et al. 2015, MNRAS, 452, 3047.Edit iconRemove icon
  110. Young alpha-enriched Giant Stars in the Solar Neighbourhood. Martig, M. et al. 2015, MNRAS, 451, 2230.Edit iconRemove icon
  111. Star/galaxy Separation at Faint Magnitudes: Application to a Simulated Dark Energy Survey. Soumagnac, M.T. et al. 2015, MNRAS, 450, 666.Edit iconRemove icon
  112. A New Method for Estimating the Pattern Speed of Spiral Structure in the Milky Way. Junqueira, T.C. et al. 2015, MNRAS, 449, 2336.Edit iconRemove icon
  113. Mass and Galaxy Distributions of Four Massive Galaxy Clusters from Dark Energy Survey Science Verification Data. Melchior, P. et al. 2015, MNRAS, 449, 2219.Edit iconRemove icon
  114. DES13S2cmm: The First Superluminous Supernova from the Dark Energy Survey. Papadopoulos, A. et al. 2015, MNRAS, 449, 1215.Edit iconRemove icon
  115. The LMC geometry and outer stellar populations from early DES data. Balbinot, E. et al. 2015, MNRAS, 449, 1129.Edit iconRemove icon
  116. Combining Dark Energy Survey Science Verification Data with Near Infrared Data from the ESO VISTA Hemisphere Survey. Banerji, M. et al. 2015, MNRAS, 446, 2523.Edit iconRemove icon
  117. Wide-Field Lensing Mass Maps from DES Science Verification Data. Vikram, V. et al. 2015, PRD, 92, 022006.Edit iconRemove icon
  118. Cosmological implications of baryon acoustic oscillation (BAO) measurements. Aubourg, E. et al. 2015, PRD, 9213516.Edit iconRemove icon
  119. Observation and Confirmation of Six Strong Lensing Systems in The Dark Energy Survey Science Verification Data. Nord, B. et al. 2015, ApJ, 827, 51.Edit iconRemove icon
  120. The Phoenix Stream: a Cold Stream in the Southern Hemisphere. Balbinot, E. et al. 2015, ApJ, 820, 58.Edit iconRemove icon
  121. Broadband Distortion Modeling in Lyman-alpha Forest BAO Fitting. Blomquist, M. et al. 2015, JCAP, 11, 034.Edit iconRemove icon
  122. Eight Ultra-faint Galaxy Candidates Discovered in Year Two of the Dark Energy Survey. Drlica-Wagner, A. et al. 2015, ApJ, 813, 109.Edit iconRemove icon
  123. Chemical Cartography with APOGEE: Metallicity Distribution Functions and the Chemical Structure of the Milky Way Disk. Hayden, M.R. et al. 2015, ApJ, 808, 132.Edit iconRemove icon
  124. The Difference Imaging Pipeline for the Transient Search in the Dark Energy Survey. Kessler, R. et al. 2015, AJ, 150, 172.Edit iconRemove icon
  125. The Dark Energy Camera. Flaugher, B. et al. 2015, AJ, 150, 150.Edit iconRemove icon
  126. Search for Gamma-Ray Emission from DES Dwarf Spheroidal Galaxy Candidates with Fermi-LAT Data. Drlica-Wagner, A. et al. 2015, ApJL, 809, 4.Edit iconRemove icon
  127. Automated Transient Identification in the Dark Energy Survey. Goldstein, D. A. et al. 2015, AJ, 150, 82.Edit iconRemove icon
  128. Mock Quasar-Lyman-alpha Forest Data-sets for the SDSS-III Baryon Oscillation Spectroscopic Survey. Bautista, J. et al. 2015, JCAP, 5, 60.Edit iconRemove icon
  129. The Eleventh and Twelfth Data Releases of the Sloan Digital Sky Survey: Final Data from SDSS-III. Alam, S. et al. 2015, ApJS, 219, 12.Edit iconRemove icon
  130. The APOKASC Catalog: An Asteroseismic and Spectroscopic Joint Survey of Targets in the Kepler Fields. Pinsonneault, M.H. et al. 2015, ApJS, 215, 19.Edit iconRemove icon
  131. Stellar Kinematics and Metallicities in the Ultra-faint Dwarf Galaxy Reticulum II. Simon, J.D. et al. 2015, ApJ, 808, 95.Edit iconRemove icon
  132. Eight New Milky Way Companions Discovered in First-Year Dark Energy Survey Data. Bechtol, K. et al. 2015, ApJ, 807, 50.Edit iconRemove icon
  133. Globular Cluster Streams as Galactic High-Precision Scales - The Poster Child od Palomar 5. Kupper, A.H.W. et al. 2015, ApJ, 803, 80.Edit iconRemove icon
  134. Modelling the Transfer Function for the Dark Energy Survey. C.Chang et al. 2015, ApJ, 801, 73.Edit iconRemove icon
  135. DES J0454-4448: Discovery of the First Luminous z > 6 Quasar from the Dark Energy Survey. Reed, S. L. et al. 2015, MNRAS, 454, 3952.Edit iconRemove icon
  136. Chemo-dynamics with the First Year of APOGEE Data. Anders, F. et al. 2014, A&A, 564, 115.Edit iconRemove icon
  137. The Sloan Digital Sky Survey Quasar Catalog: Tenth Data Release. Paris, I. et al. 2014, A&A, 536, 54.Edit iconRemove icon
  138. The Dark Energy Survey and operations: Year 1. Diehl, H. T. et al. 2014, SPIE, 9149, 91490V.Edit iconRemove icon
  139. The DECam DAQ System: lessons learned after one year of operations. Honscheid, K et al. 2014, SPIE, 9152, 91520G.Edit iconRemove icon
  140. Bayesian Distances and Extinctions for Giants Observed by Kepler and APOGEE. Rodrigues, T.S. et al. 2014, MNRAS, 445, 2758.Edit iconRemove icon
  141. Photometric Redshift Analysis in the Dark Energy Survey Science Verification Data. Sánchez, C. et al. 2014, MNRAS, 445, 1482.Edit iconRemove icon
  142. Orientation Bias of Optically Selected Galaxy Clusters and Its Impact on Stacked Weak Lensing Analyses. Dietrich, J.P. et al. 2014, MNRAS, 443, 1713.Edit iconRemove icon
  143. On the effect of the ionising background on the Ly{alpha} forest autocorrelation function. Gontcho, S. et al. 2014, MNRAS, 442, 187.Edit iconRemove icon
  144. The Clustering of Galaxies in the SDSS-III DR10 Baryon Oscillation Spectroscopic Survey: No Detectable Colour Dependence of Distance Scale or Growth Rate Measurements. Ross, A.J. et al. 2014, MNRAS, 437, 1109.Edit iconRemove icon
  145. Accurate Atmospheric Parameters at Moderate Spectral Resolution: Preliminary Application to the MARVELS Survey. Ghezzi, L. et al. 2014, AJ, 148, 105.Edit iconRemove icon
  146. Quasar-Lyman-alpha Forest Cross-Correlation from BOSS DR11: Baryon Acoustic Oscillations. Font-Ribera, A. et al. 2014, JC&AP, 05, 027.Edit iconRemove icon
  147. The Tenth Data Release of the Sloan Digital Sky Survey: First Spectroscopic Data from the SDSS-III Apache Point Observatory Galactic Evolution Experiment. Ahn, C.P. et al. 2014, ApJS, 211, 17.Edit iconRemove icon
  148. PreCam, a Precursor Observational Campaign for Calibration of the Dark Energy Survey. Kuehn, K. et al. 2013, PASP, 125, 409.Edit iconRemove icon
  149. A Simple Prescription for Simulating and Characterizing Gravitational Arcs. Furlanetto, C. et al. 2013, A&A, 549, A80.Edit iconRemove icon
  150. Large-scale Analysis of the SDSS-III DR8 Photometric Luminous Galaxies Angular Correlation Function. Simoni, F. et al. 2013, MNRAS, 435, 3017.Edit iconRemove icon
  151. Detecting Massive Galaxies at High Redshift Using the Dark Energy Survey. Davis, L.M.J. et al. 2013, MNRAS, 434, 296.Edit iconRemove icon
  152. On the Accuracy of the Perturbative Approach for Strong Lensing: Local Distortion for Pseudo-elliptical Models. Dumet-Montoya, H. et al. 2013, MNRAS, 433, 2975.Edit iconRemove icon
  153. The Soar Gravitational Arc Survey I: Survey Overview and Photometric Catalogs. Furlanetto, C. et al. 2013, MNRAS, 432, 73.Edit iconRemove icon
  154. The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: the low-redshift sample. Parejko, J. et al. 2013, MNRAS, 429, 98.Edit iconRemove icon
  155. The Clustering of Galaxies in SDSS-III DR9 Baryon Oscillation Spectroscopic Survey: Constraints on Primordial Non-Gaussianity. Ross, A. et al. 2013, MNRAS, 428, 1116.Edit iconRemove icon
  156. Target Selection for the Apache Point Observatory Galactic Evolution Experiment (APOGEE). Zasowski, G. et al. 2013, AJ, 146, 81.Edit iconRemove icon
  157. Very Low Mass Stellar and Substellar Companions to Solar-like Stars From MARVELS IV: A Candidate Brown Dwarf or Low-Mass Stellar Companion to HIP 67526. Jiang, P. et al. 2013, AJ, 146, 65.Edit iconRemove icon
  158. Very Low Mass Stellar and Substellar Companions to Solar-Like Stars from MARVELS. V. A Low Eccentricity Brown Dwarf from the Driest Part of the Desert, MARVELS-6b. De Lee, N. et al. 2013, AJ, 145, 155.Edit iconRemove icon
  159. A Cautionary Tale: MARVELS Brown Dwarf Candidate Reveals Itself To Be a Very Long Period, Highly Eccentric Spectroscopic Stellar Binary. Mack III, C.E. et al. 2013, AJ, 145, 139.Edit iconRemove icon
  160. Very Low-mass Stellar and Substellar Companions to Solar-like Stars from MARVELS III: An Unsynchronyzed, Short-Period Brown Dwarf Candidate Around an Active Subgiant. Ma, B. et al. 2013, AJ, 145, 20.Edit iconRemove icon
  161. The Baryon Oscillation Spectroscopic Survey of SDSS-III. Dawson, K.S. et al. 2013, AJ, 145, 10.Edit iconRemove icon
  162. MARVELS-1: A Face-on Double-lined Binary Masquerading as a Resonant Planetary System and Consideration of Rare False Positives in Radial Velocity Planet Searches. Wright, J. et al. 2013, ApJ, 770, 119.Edit iconRemove icon
  163. The Homogeneous Study of Transiting Systems (HoSTS) I. The Pilot Study of WASP-13. Gómez Maqueo Chew, Y. et al. 2013, ApJ, 768, 79.Edit iconRemove icon
  164. The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: Luminosity and Color Dependence and Redshift Evolution. Guo, H et al. 2013, ApJ, 767, 122.Edit iconRemove icon
  165. A New Milky Way Satellite in the Southern Galactic Sky. Balbinot, E. et al. 2013, ApJ, 767, 101.Edit iconRemove icon
  166. Domain of validity for pseudo-elliptical NFW lens models. Mass distribution, mapping to elliptical models, and arc cross section. Dümet-Montoya, H.S. et al. 2012, A&A, 544, A83.Edit iconRemove icon
  167. The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: Baryon Acoustic Oscillations in the Data Release 9 Spectroscopic Galaxy Sample. Anderson, L. et al. 2012, MNRAS, 427, 3435.Edit iconRemove icon
  168. The XMM Cluster Survey: Optical analysis methodology and the first data release. Mehrtens, N. et al. 2012, MNRAS, 423, 1024.Edit iconRemove icon
  169. Very Low-mass Stellar and Substellar Companions to Solar-like Stars from MARVELS II: A Short-period Companion Orbiting an F Star with Evidence of a Stellar Tertiary And Significant Mutual Inclination. Fleming, S.W. et al. 2012, AJ, 144, 72.Edit iconRemove icon
  170. Very Low-Mass Stellar and Substellar Companions to Solar-Like Stars from MARVELS I: A Low Mass Ratio Stellar Companion to TYC 4110-01037-1 in a 79-day Orbit. Wisniewski, J. et al. 2012, AJ, 143, 107.Edit iconRemove icon
  171. The Ninth Data Release of The Sloan Digital Sky Survey: First Spectroscopic Data From The SDSS-III Baryon Oscillation Spectroscopic Survey. Ahn, C.P. et al. 2012, ApJS, 203, 21.Edit iconRemove icon
  172. The Metallicity Distribution Functions of SEGUE G and K dwarfs: Constraints for Disk Chemical Evolution and Formation. Schlesinger, K.J. et al. 2012, ApJ, 761, 160.Edit iconRemove icon
  173. Clustering of Sloan Digital Sky Survey III Photometric Luminous Galaxies: The Measurement, Systematics and Cosmological Implications. Ho, S. et al. 2012, ApJ, 761, 14.Edit iconRemove icon
  174. Acoustic scale from the angular power spectra of SDSS-III DR8 photometric luminous galaxies. Seo, H. et al. 2012, ApJ, 761, 13.Edit iconRemove icon
  175. The Milky Way Circular Velocity Curve Between 4 and 14 kpc from APOGEE Data. Bovy, J. et al. 2012, ApJ, 759, 131.Edit iconRemove icon
  176. Ameliorating Systematic Uncertainties in the Angular Clustering of Galaxies: A Study using SDSS-III. Ross, A. et al. 2011, MNRAS, 417, 1350.Edit iconRemove icon
  177. The Tidal Tails of NGC 2298. Balbinot, E. et al. 2011, MNRAS, 416, 393.Edit iconRemove icon
  178. Tracing the sound horizon scale with photometric redshift surveys. Sánchez, E. et al. 2011, MNRAS, 411, 277.Edit iconRemove icon
  179. Cosmological forecasts from photometric measurements of the angular correlation function. Sobreira, F. et al. 2011, PRD, 84, 103001.Edit iconRemove icon
  180. Detailed Abundances of the Solar Twins 16 Cygni A and B: Constraining Planet Formation Models. Schuler, S. et al. 2011, ApJ, 737, L32.Edit iconRemove icon
  181. SDSS-III: Massive Spectroscopic Surveys of the Distant Universe, the Milky Way Galaxy, and Extra-Solar Planetary Systems. Eisenstein, D.J. et al. 2011, AJ, 142, 72.Edit iconRemove icon
  182. Eclipsing Binary Science Via the Merging of Transit and Doppler Exoplanet Survey Data - A Case Study With the MARVELS Pilot Project and SuperWASP. Fleming, S.W. et al. 2011, AJ, 142, 50.Edit iconRemove icon
  183. Evolution of Galaxy Luminosity Function Using Photometric Redshifts. Ramos, B. et al. 2011, AJ, 142, 41.Edit iconRemove icon
  184. The Dark Energy Survey: Prospects for Resolved Stellar Populations. Rossetto, B. et al. 2011, AJ, 141, 185.Edit iconRemove icon
  185. The Eighth Data Release of the Sloan Digital Sky Survey: First Data from SDSS-III. Aihara, H. et al. 2011, ApJS, 193, 29.Edit iconRemove icon
  186. Abundances of Stars with Planets: Trends with Condensation Temperature. Schuler, S.C. et al. 2011, ApJ, 732, 55.Edit iconRemove icon
  187. The clustering of massive galaxies at z~0.5 from the first semester of BOSS data. White, M. et al. 2011, ApJ, 728, 126.Edit iconRemove icon
  188. MARVELS-1b: A Short-Period, Brown Dwarf Desert Candidate from the SDSS-III MARVELS Planet Search. Lee, B.L. et al. 2011, ApJ, 728, 32.Edit iconRemove icon
  189. The DECam data acquisition and control system. Honscheid, K. et al. 2010, Proceedings of the SPIE, 7740, 53.Edit iconRemove icon
  190. Status of the dark energy survey camera (DECam) project. Flaugher, B.L. et al. 2010, Proceedings of the SPIE, 7735, 12.Edit iconRemove icon
  191. The Dark Energy Survey: perspectives for resolved stellar population studies. Santiago et al. 2010, Stellar Populations - Planning for the Next Decade, 262, 265.Edit iconRemove icon
  192. The Dark Energy Survey Data Management System: The Coaddition Pipeline and PSF Homogenization. Darnell, T. et al. 2009, ASPC, 411, 18.Edit iconRemove icon
  193. The Dark Energy Survey Data-Management System: The Processing Framework. Gower, M. et al. 2009, PASP, 411, 14.Edit iconRemove icon
  194. The Dark Energy Survey data management system. Mohr, J. et al. 2008, Proceedings of the SPIE, 7016, 70160L.Edit iconRemove icon