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Publicações com participação de afiliados ao LIneA (Presente – 2008) 147

  1. SDSS-IV MaNGA: A Serendipitous Observation of Warm Gas Accretion. Cheung, E. et al. 2016, ApJL, submetido.
  2. The Evolution of Active Galactic Nuclei in Clusters of Galaxies from the Dark Energy Survey. Bufanda, E. et al. 2016, MNRAS, submetido.(http://arxiv.org/abs/1606.06775)
  3. Discovery of a z=0.65 Post-Starburst BAL Quasar in the DES Supernova Fields. Mudd, D. et al. 2016, MNRAS, submetido.(http://arxiv.org/abs/1606.02717)
  4. A DECam Search for an Optical Counterpart to the LIGO Gravitational Wave Event GW151226. Cowperthwaite, P. et al. 2016, ApJL, submetido.(http://arxiv.org/abs/1606.04538)
  5. Properties of Galaxies with Kinematically Decoupled Stellar and Gaseous Components. Jin, Y. et al. 2016, MNRAS, submetido.
  6. The Growth of the Central Region by Acquisition of Counter-rotating Gas in Star-forming Galaxies. Chen, Y. et al. 2016, Nature Communications, submetido.
  7. Cosmic Voids and Void Lensing in the Dark Energy Survey Science Verification Data. Sánchez, C. et al. 2016, MNRAS, submetido.(http://arxiv.org/abs/1605.03982)
  8. Testing the Lognormality of the Galaxy and Weak Lensing Convergence Distributions from Dark Energy Survey maps. Clerkin, L. et al. 2016, MNRAS, submetido.(http://arxiv.org/abs/1605.02036)
  9. Galactic Archaeology with CoRoT and APOGEE: Creating Mock Observations From a Chemodynamical Model. Anders, F. et al. 2016, Astronomische Nachrichten, submetido.(http://arxiv.org/abs/1604.07771)
  10. Supplement: Localization and Broadband Follow-up of the Gravitational-wave Transient GW150914. Abbott, B.P. et al. 2016, ApJS, submetido.(http://arxiv.org/abs/1604.07864)
  11. Cosmology From Large Scale Galaxy Clustering and Galaxy-Galaxy Lensing With Dark Energy Survey Science Verification data. Kwan, J. et al. 2016, MNRAS, submetido.(http://arxiv.org/abs/1604.07871)
  12. Host Galaxy Identification for Supernova Surveys. Gupta, R. et al. 2016, AJ, submetido.(http://arxiv.org/abs/1604.06138)
  13. Galaxy Populations in Massive Galaxy Clusters to z=1.1: Color Distribution, Concentration, Halo Occupation Number and Red Sequence Fraction. Hennig, C. et al. 2016, MNRAS, submetido.(http://arxiv.org/abs/1604.00988)
  14. Galaxy-Galaxy Lensing in the DES Science Verification Data. Clampitt, J. et al. 2016, MNRAS, submetido.(http://arxiv.org/abs/1603.05790)
  15. Cosmology Constraints From Shear Peak Statistics in Dark Energy Survey Science Verification Data. Kacprzak, T. et al. 2016, MNRAS, submetido.(http://arxiv.org/abs/1603.05040)
  16. Detection of the Kinematic Sunyaev-Zel’dovich Effect with DES Year 1 and SPT. Soergel, B. et al. 2016, MNRAS, submetido.(http://arxiv.org/abs/1603.03904)
  17. Localization and Broadband Follow-up of the Gravitational-wave Transient GW150914. Abbott, B.P. et al. 2016, ApJL, submetido.(http://arxiv.org/abs/1602.08492)
  18. Joint Measurement of Lensing-Galaxy Correlations Using SPT and DES SV Data. Baxter, E.J. et al. 2016, MNRAS, submetido.(http://arxiv.org/abs/1602.07384)
  19. 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, submetido.(http://arxiv.org/abs/1601.00589)
  20. Observation and Confirmation of Six Strong Lensing Systems in The Dark Energy Survey Science Verification Data. Nord, B. et al. 2015, ApJ, submetido.(http://arxiv.org/abs/1512.0306)
  21. The XMM Cluster Survey: Evolution of the Velocity Dispersion – Temperature Relation Over Half a Hubble Time. Wilson, S. et al. 2015, MNRAS, submetido.(http://arxiv.org/abs/1512.02800)
  22. Physical Properties of Star Clusters in the Outer LMC as Observed by the Dark Energy Survey. Pieres et al. 2015, MNRAS, submetido.(http://arxiv.org/abs/1512.01032)
  23. Photometric Redshifts and Clustering of Emission Line Galaxies Selected Jointly by DES and eBOSS. Jouvel, S. et al. 2015, MNRAS, submetido.(http://arxiv.org/abs/1509.07121)
  24. The SDSS-IV eBOSS emission-line galaxy pilot survey. Comparat, J. et al. 2015, A&A, submetido.(http://arxiv.org/abs/1509.05045)
  25. The Apache Point Observatory Galactic Evolution Experiment (APOGEE). Majewski, S.R. et al. 2015, AJ, submetido.
  26. The SDSS-IV extended Baryonic Oscillation Spectroscopic Survey: Luminous Red Galaxy Target Selection. Prakash, A. et al. 2015, ApJS, submetido.(http://arxiv.org/abs/1508.04478)
  27. Galactic Archaeology with Asteroseismology and Spectroscopy: Red Giants Observed by CoRoT and APOGEE. Anders, F. et al. 2015, A&A, submetido.(http://arxiv.org/abs/1604.07763)
  28. Joint Analysis of Galaxy-Galaxy Lensing and Galaxy Clustering: Methodology and Forecasts for DES. Park, Y. et al. 2015, submetido.(http://arxiv.org/abs/1507.05353)
  29. redMaGiC: Selecting Luminous Red Galaxies from the DES Science Verification Data. Rozo, E. et al. 2015, MNRAS, submetido.(http://arxiv.org/abs/1507.05460)
  30. Cosmology from Cosmic Shear with DES Science Verification Data. Abbot, T. et al. 2015, MNRAS, submetido.(http://arxiv.org/abs/1507.05552)
  31. Cosmic Shear Measurements with DES Science Verification Data. Becker, M.R. et al. 2015, MNRAS, submetido.(http://arxiv.org/abs/1507.05598)
  32. The DES Science Verification Weak Lensing Shear Catalogs. Jarvis, M. et al. 2015, submetido.(http://arxiv.org/abs/1507.05603)
  33. Mapping and Simulating Systematics due to Spatially-varying Observing Conditions in the Dark Energy Survey. Leisted, B. et al. 2015, MNRAS, submetido.(http://arxiv.org/abs/1507.05647)
  34. Redshift Distributions of Galaxies in the DES Science Verification Shear Catalogue and Implications for Weak Lensing. Bonnet, C. et al. 2015, MNRAS, submetido.(http://arxiv.org/abs/1507.05909)
  35. DESAlert: Enabling Real-Time Transient Follow-Up with Dark Energy Survey Data. Poci, A. et al. 2015, PASA, submetido. (http://arxiv.org/abs/1504.02996)
  36. 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.
  37. 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.
  38. 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.
  39. Galaxy Bias From the DES Science Verification Data: Combining Galaxy Density Maps and Weak Lensing Maps. Chang, C. et al. 2016, MNRAS, 459, 3203.
  40. The Dark Energy Survey: More Than Dark Energy – An Overview. Dark Energy Survey Collaboration: Abbott, T. et al. 2016, MNRAS, 460, 1270.
  41. The RedMaPPer Galaxy Cluster Catalog From DES Science Verification Data. Rykoff, E.S. et al. 2016, ApJS, 224, 1.
  42. Cross-correlation of Gravitational Lensing From DES Science Verification Data With SPT and Planck Lensing. Kirk, D. et al. 2016, MNRAS, 459, 21.
  43. 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.
  44. Determining Ages of APOGEE Giants with Known Distances. Feuillet, D. et al. 2016, ApJ, 817, 40.
  45. 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.
  46. DES14X3taz: A Type I Superluminous Supernova Showing a Luminous, Rapidly Cooling Initial Pre-Peak Bump. Smith, M. et al. 2016, ApJL, 818, 8.
  47. Discovery of a Stellar Overdensity in Eridanus-Phoenix in the Dark Energy Survey. Li, T.S. et al. 2016, ApJ, 817, 135.
  48. The SDSS-IV extended Baryon Oscillation Spectroscopic Survey: Overview and Early Data. Dawson, K.S. et al. 2016, AJ, 151, 44.
  49. 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.
  50. No Galaxy Left Behind: Accurate Measurements with the Faintest Objects in the Dark Energy Survey. Suchyta, E. et al. 2016, MNRAS, 457, 786.
  51. Observation of Two New L4 Neptune Trojans in the Dark Energy Survey Supernova Fields. Gerdes, D.W. et al. 2016, AJ, 151, 39.
  52. The SDSS-III BOSS Quasar Lens Survey: Discovery of Thirteen Gravitationally Lensed Quasars. More, A. et al. 2016, MNRAS, 456, 1595.
  53. CMB Lensing Tomography with the DES Science Verification Galaxies. Giannantonio, T. et al. 2016, MNRAS, 456, 3213.
  54. Spectrophotometric Distances: a Bayesian Approach for Optical and NIR data. Santiago B. X. et al. 2016, A&A, 585, 42.
  55. Galaxy Clustering, Photometric Redshifts and Diagnosis of Systematics in the DES Science Verification Data. Crocce, M. et al. 2016, MNRAS, 455, 4301.
  56. Weak Lensing by Galaxy Troughs in DES Science Verification Data. Gruen, D. et al. 2016, MNRAS, 455, 3367.
  57. The Phoenix Stream: a Cold Stream in the Southern Hemisphere. Balbinot, E. et al. 2015, ApJ, 820, 58.
  58. Crowdsourcing Quality Control for Dark Energy Survey Images. Melchior, P. et al. 2016, Astronomy & Computing, 16, 99.
  59. Evidence for a Metal-poor Population in the Inner Galactic Bulge. Schultheis, M. et al. 2015, A&A, 584, 45.
  60. Cosmological Implications of Baryon Acoustic Oscillation (BAO) Measurements. Aubourg, É. et al. 2015, PRD, 9213516.
  61. Broadband Distortion Modeling in Lyman-α Forest BAO Fitting. Blomquist, M. et al. 2015, JCAP, 11, 034.
  62. 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.
  63. The Difference Imaging Pipeline for the Transient Search in the Dark Energy Survey. Kessler, R. et al. 2015, AJ, 150, 172.
  64. Eight Ultra-faint Galaxy Candidates Discovered in Year Two of the Dark Energy Survey. Drlica-Wagner, A. et al. 2015, ApJ, 813, 109.
  65. The Dark Energy Camera. Flaugher, B. et al. 2015, AJ, 150, 150.
  66. 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.
  67. Discovery of two gravitationally lensed quasars in the Dark Energy Survey. Agnello, A. et al. 2015, MNRAS, 454, 1260.
  68. 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.
  69. Young α-enriched Giant Stars in the Solar Neighbourhood. Martig, M. et al. 2015, MNRAS, 451, 2230.
  70. Automated Transient Identification in the Dark Energy Survey. Goldstein, D. A. et al. 2015, AJ, 150, 82.
  71. Search for Gamma-Ray Emission from DES Dwarf Spheroidal Galaxy Candidates with Fermi-LAT Data. Drlica-Wagner, A. et al. 2015, ApJL, 809, 4.
  72. Young [α/Fe]-enhanced stars discovered by CoRoT and APOGEE: What is their origin? Chiappini, C. et al. 2015, A&A, 576, 12.
  73. Stellar Kinematics and Metallicities in the Ultra-faint Dwarf Galaxy Reticulum II. Simon, J.D. et al. 2015, ApJ, 808, 95.
  74. Wide-Field Lensing Mass Maps from DES Science Verification Data. Vikram, V. et al. 2015, PRD, 92, 022006.
  75. OzDES multi-fibre spectroscopy for the Dark Energy Survey: First-year operation and results. Yuan, F. et al. 2015, MNRAS, 452, 3047.
  76. The Eleventh and Twelfth Data Releases of the Sloan Digital Sky Survey: Final Data from SDSS-III. Alam, S. et al. 2015ApJS, 219, 12.
  77. The APOKASC Catalog: An Asteroseismic and Spectroscopic Joint Survey of Targets in the Kepler Fields. Pinsonneault, M.H. et al. 2015, ApJS, 215, 19.
  78. Globular Cluster Streams as Galactic High-Precision Scales—the Poster Child Palomar 5. Küpper, A.H.W. et al. 2015, ApJ, 803, 80.
  79. A New Method for Estimating the Pattern Speed of Spiral Structure in the Milky Way. Junqueira, T.C. et al. 2015, MNRAS, 449, 2336.
  80. Mock Quasar-Lyman-{\alpha} Forest Data-sets for the SDSS-III Baryon Oscillation Spectroscopic Survey. Bautista, J. et al. 2015, JCAP, 5, 60.
  81. Eight New Milky Way Companions Discovered in First-Year Dark Energy Survey Data. Bechtol, K. et al. 2015, ApJ, 807, 50.
  82. Star/galaxy Separation at Faint Magnitudes: Application to a Simulated Dark Energy Survey. Soumagnac, M.T. et al. 2015, MNRAS, 450, 666.
  83. Mass and Galaxy Distributions of Four Massive Galaxy Clusters from Dark Energy Survey Science Verification Data. Melchior, P. et al. 2015, MNRAS, 449, 2219.
  84. DES13S2cmm: The First Superluminous Supernova from the Dark Energy Survey. Papadopoulos, A. et al. 2015, MNRAS, 449, 1215.
  85. The LMC geometry and outer stellar populations from early DES data. Balbinot, E. et al. 2015, MNRAS, 449, 1129.
  86. Modelling the Transfer Function for the Dark Energy Survey. C.Chang et al. 2015, ApJ, 801, 73.
  87. Baryon Acoustic Oscillations in the Ly-alpha forest of BOSS DR11 quasars. Delubac, T. et al. 2015,A&A, 574.
  88. 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.
  89. On the effect of the ionizing background on the Lyα forest autocorrelation function. Gontcho, S. et al. 2014, MNRAS, 442, 187.
  90. Accurate Atmospheric Parameters at Moderate Spectral Resolution: Preliminary Application to the MARVELS Survey. Ghezzi, L. et al. 2014, AJ, 148,105.
  91. Bayesian Distances and Extinctions for Giants Observed by Kepler and APOGEE. Rodrigues, T.S. et al. 2014, MNRAS, 445, 2758.
  92. Photometric Redshift Analysis in the Dark Energy Survey Science Verification Data. Sánchez, C. et al. 2014,MNRAS,  445, 1482.
  93. The DECam DAQ System: lessons learned after one year of operations, Honscheid, K et al 2014, SPIE, 9152, 91520G.
  94. The Dark Energy Survey and operations: Year 1. Diehl, H. T. et al. 2014, SPIE, 9149, 91490V.
  95. Orientation Bias of Optically Selected Galaxy Clusters and Its Impact on Stacked Weak Lensing Analyses. Dietrich, J.P. et al. 2014, MNRAS, 443, 1713.
  96. Quasar-Lyman-alpha Forest Cross-Correlation from BOSS DR11: Baryon Acoustic Oscillations. Font-Ribera, A. et al. 2014, JC&AP, 05, 027.
  97. Chemo-dynamics with the First Year of APOGEE Data. Anders, F. et al. 2014, A&A, 564, 115.
  98. 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.
  99. The Sloan Digital Sky Survey Quasar Catalog: Tenth Data Release. Paris, I. et al. 2014,A&A, 536, 54.
  100. 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.
  101. Large-scale Analysis of the SDSS-III DR8 Photometric Luminous Galaxies Angular Correlation Function. Simoni, F. et al. 2013, MNRAS, 435, 3017.
  102. 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.
  103. Target Selection for the Apache Point Observatory Galactic Evolution Experiment (APOGEE). Zasowski, G. et al. 2013, AJ, 146, 81.
  104. 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
  105. On the Accuracy of the Perturbative Approach for Strong Lensing: Local Distortion for Pseudo-elliptical Models. Dúmet-Montoya, H. et al. 2013, MNRAS, 433, 2975.
  106. Detecting Massive Galaxies at High Redshift Using the Dark Energy Survey. Davies, L. J. M. et al. 2013, MNRAS, 434, 296.
  107. 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.
  108. The Soar Gravitational Arc Survey – I: Survey overview and photometric catalogs. Furlanetto, C. et al. 2013, MNRAS, 432, 73.
  109. PreCam, a Precursor Observational Campaign for Calibration of the Dark Energy Survey. Kuehn, K. et al. 2013, PASP, 125, 409.
  110. The Homogeneous Study of Transiting Systems (HoSTS) I. The Pilot Study of WASP-13. Gómez Maqueo Chew, Y. et al. 2013, ApJ, 768, 79.
  111. 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.
  112. A Cautionary Tale: MARVELS Brown Dwarf Candidate Reveals Itself To Be a Very Long Period, Highly Eccentric Spectroscopic Stellar Binary. Mack, Claude E., III et al. 2013, AJ, 145, 139.
  113. A New Milky Way Satellite in the Southern Galactic Sky. Balbinot, E. et al. 2013, ApJ, 767, 101.
  114. The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: the low-redshift sample. Parejko, J. et al. 2013,MNRAS, 429, 98.
  115. 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.
  116. The Baryon Oscillation Spectroscopic Survey of SDSS-III. Dawson, K.S. et al. 2013, AJ, 145, 10.
  117. 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.
  118. A Simple Prescription for Simulating and Characterizing Gravitational Arcs. Furlanetto, C. et al. 2013, A&A, 549, A80.
  119. 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.
  120. 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.
  121. The Milky Way’s Circular Velocity Curve Between 4 and 14 kpc from APOGEE Data. Bovy, J. et al. 2012, ApJ, 759, 131.
  122. Clustering of Sloan Digital Sky Survey III Photometric Luminous Galaxies: The Measurement, Systematics and Cosmological Implications. Ho, S. et al. 2012, ApJ, 761, 14
  123. Acoustic scale from the angular power spectra of SDSS-III DR8 photometric luminous galaxies, Seo, H. et al. 2012,ApJ, 761, 13.
  124. 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.
  125. Domain of validity for pseudo-elliptical NFW lens models. Mass distribution, mapping to elliptical models, and arc cross section, Dúmet-Montoya, H.S. et al. 2012, A&A, 544, A83
  126. 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.
  127. The XMM Cluster Survey: Optical analysis methodology and the first data release. Mehrtens, N. et al. 2012, MNRAS, 423, 1024.
  128. 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.
  129. Cosmological forecasts from photometric measurements of the angular correlation function. Sobreira, F. et al. 2011, PRD, 84, 103001.
  130. Ameliorating Systematic Uncertainties in the Angular Clustering of Galaxies: A Study using SDSS-III. Ross, A. et al. 2011, MNRAS, 417, 1350.
  131. The Tidal Tails of NGC 2298. Balbinot, E. et al. 2011, MNRAS, 416, 393.
  132. SDSS-III: Massive Spectroscopic Surveys of the Distant Universe, the Milky Way Galaxy, and Extra-Solar Planetary Systems. Eisenstein, Daniel J. et al. 2011, AJ, 142, 72.
  133. Detailed Abundances of the Solar Twins 16 Cygni A and B: Constraining Planet Formation Models. Schuler, S. et al. 2011, ApJ, 737, L32.
  134. 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.
  135. Evolution of Galaxy Luminosity Function Using Photometric Redshifts. Ramos, B. et al. 2011, AJ, 142, 41.
  136. Abundances of Stars with Planets: Trends with Condensation Temperature. Schuler, S.C. et al. 2011, ApJ, 732, 55.
  137. The Dark Energy Survey: Prospects for Resolved Stellar Populations. Rossetto, B. et al. 2011, AJ, 141, 185.
  138. The Eighth Data Release of the Sloan Digital Sky Survey: First Data from SDSS-III. Aihara, H. et al. 2011, ApJS, 193, 29.
  139. The clustering of massive galaxies at z~0.5 from the first semester of BOSS data. White, M. et al. 2011, ApJ, 728, 126.
  140. MARVELS-1b: A Short-Period, Brown Dwarf Desert Candidate from the SDSS-III MARVELS Planet Search. Lee, Brian L. et al. 2011, ApJ, 728, 32.
  141. Tracing the sound horizon scale with photometric redshift surveys. Sánchez, E. et al. 2011, MNRAS, 411, 277.
  142. The Dark Energy Survey: perspectives for resolved stellar population studies. Santiago, Basílio et al. 2010, Stellar Populations – Planning for the Next Decade, Proceedings of the International Astronomical Union, IAU Symposium, Volume 262, p. 265-269.
  143. The DECam data acquisition and control system. Honscheid, K. et al. 2010, Proceedings of the SPIE, 7740, 53.
  144. Status of the dark energy survey camera (DECam) project. Flaugher, Brenna L. et al. 2010, Proceedings of the SPIE, 7735, 12.
  145. The Dark Energy Survey Data-Management System: The Processing Framework. Gower, M. et al. 2009, PASP, 411, 14.
  146. The Dark Energy Survey Data Management System: The Coaddition Pipeline and PSF Homogenization. Darnell, T. et al. 2009, ASPC, 411, 18.
  147. The Dark Energy Survey data management system. Mohr, J. et al. 2008, Proceedings of the SPIE, Volume 7016, pp. 70160L-70160L-16.