Publicações

Publicações com participação de afiliados ao LIneA (2008 – Presente) 193

Submetidos 20

  1. SDSS IV MaNGA - Rotation Velocity Lags in the Extraplanar Ionized Gas from MaNGA Observations of Edge-on Galaxies. Bizyaev, D. et al. 2017, MNRAS. arXiv Edit iconRemove icon
  2. 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. arXiv Edit iconRemove icon
  3. Astrometric Calibration and Performance of the Dark Energy Camera. Bernstein, G. M. et al. 2017, PASP. arXiv Edit iconRemove icon
  4. Sloan Digital Sky Survey IV: Mapping the Milky Way, Nearby Galaxies and the Distant Universe. Blanton, M.R. et al. 2017, AJ. arXiv Edit iconRemove icon
  5. Models of the Strongly Lensed Quasar DES J0408-5354. Agnello, A. et al. 2017, MNRAS. arXiv Edit iconRemove icon
  6. 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. arXiv Edit iconRemove icon
  7. Magnification in the Dark Energy Survey Science Verification Data. Garcia-Fernandez, M. et al. 2017, MNRAS. arXiv Edit iconRemove icon
  8. 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. 2016, MNRAS. arXiv Edit iconRemove icon
  9. SDSS-IV MaNGA: Spatially Resolved Star Formation Histories in Galaxies as a Function of Galaxy Mass and Type. Goddard, D. et al. 2016, MNRAS. arXiv Edit iconRemove icon
  10. A Search for Kilonovae in the Dark Energy Survey. Doctor, Z. et al. 2016, ApJ. arXiv Edit iconRemove icon
  11. The DESI Experiment Part II: Instrument Design. Aghamousa, A. et al. 2016, . arXiv Edit iconRemove icon
  12. The DESI Experiment Part I: Science,Targeting, and Survey Design. Aghamousa, A. et al. 2016, . arXiv Edit iconRemove icon
  13. Weak-lensing Mass Calibration of redMaPPer Galaxy Clusters in Dark Energy Survey Science Verification Data. Melchior, P. et al. 2016, MNRAS. arXiv Edit iconRemove icon
  14. Galaxy Bias From Galaxy-galaxy Lensing in the DES Science Verification Data. Prat, J. et al. 2016, MNRAS. arXiv Edit iconRemove icon
  15. An Ultra-Faint Galaxy Candidate Discovered in Early Data from the Magellanic Satellites Survey. Drlica-Wagner, A. et al. 2016, ApJL. arXiv Edit iconRemove icon
  16. 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. 2016, ApJS. arXiv Edit iconRemove icon
  17. Redshift Measurement and Spectral Classification for eBOSS Galaxies with the Redmonster Software. Hutchinson, T. et al. 2016, AJ. arXiv Edit iconRemove icon
  18. The Clustering of Luminous Red Galaxies at z ~ 0.7 from eBOSS Data. Zhai, Z. et al. 2016, ApJ. arXiv Edit iconRemove icon
  19. Photometric Redshifts and Clustering of Emission Line Galaxies Selected Jointly by DES and eBOSS. Jouvel, S. et al. 2015, MNRAS. arXiv Edit iconRemove icon
  20. The Apache Point Observatory Galactic Evolution Experiment (APOGEE). Majewski, S.R. et al. 2015, AJ. arXiv Edit iconRemove icon

Aceitos 03

  1. Discovery and Physical Characterization of a Large Scattered Disk Object at 92 AU. Gerdes, D. et al. 2017, ApJL. arXiv Edit iconRemove icon
  2. Discovery of a z=0.65 Post-Starburst BAL Quasar in the DES Supernova Fields. Mudd, D. et al. 2017, MNRAS. arXiv Edit iconRemove icon
  3. Optical-SZE Scaling Relations for DES Optically Selected Clusters within the SPT-SZ Survey. Saro, A. et al. 2017, MNRAS. arXiv Edit iconRemove icon

Publicados 170

  1. 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
  2. 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
  3. 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
  4. A Stellar Over-density Associated with the Small Magellanic Cloud. Pieres, A. et al. 2017, MNRAS, 468, 1349.Edit iconRemove icon
  5. 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
  6. Exploring the Brown Dwarf Desert: New Substellar Companions from the SDSS-III MARVELS Survey. Grieves, N. 2017, MNRAS, 467, 4262.Edit iconRemove icon
  7. 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
  8. Cardinal kinematics: I. Rotation Fields of the APOGEE Survey. Kordopatis, G. et al. 2017, MNRAS, 467, 469.Edit iconRemove icon
  9. 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
  10. 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
  11. Galaxy-Galaxy Lensing in the DES Science Verification Data. Clampitt, J. et al. 2017, MNRAS, 465, 4204.Edit iconRemove icon
  12. Imprint of DES Super-structures on the Cosmic Microwave Background. Kovács, A. et al. 2017, MNRAS, 465, 4166.Edit iconRemove icon
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. Chemical trends in the Galactic Halo from APOGEE data. Fernández-Alvar, E. 2017, MNRAS, 465, 1586.Edit iconRemove icon
  19. Cosmic Voids and Void Lensing in the Dark Energy Survey Science Verification Data. Sánchez, C. et al. 2017, MNRAS, 465,746.Edit iconRemove icon
  20. SDSS-IV MaNGA: Stellar Population Gradients as a Function of Galaxy Environment. Goddard, D. et al. 2017, MNRAS, 465, 688.Edit iconRemove icon
  21. 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
  22. Discovery of the Lensed Quasar System DES J0408-5354. Lin, H. et al. 2017, ApJL, 838, L15.Edit iconRemove icon
  23. An R-process enhanced star in the dwarf galaxy Tucana III. Hansen, T.T. et al. 2017, ApJ, 838, 44.Edit iconRemove icon
  24. Farthest Neighbor: The Distant Milky Way Satellite Eridanus II. Li, T.S. et al. 2017, ApJ, 838, 8.Edit iconRemove icon
  25. Nearest Neighbor: The Low-Mass Milky Way Satellite Tucana III. Simon, J.D. et al. 2017, ApJ, 838,11.Edit iconRemove icon
  26. 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
  27. 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
  28. DESAlert: Enabling Real-Time Transient Follow-Up with Dark Energy Survey Data. Poci, A. et al. 2016, PASA, 33, 49.Edit iconRemove icon
  29. Crowdsourcing Quality Control for Dark Energy Survey Images. Melchior, P. et al. 2016, Astronomy & Computing, 16, 99.Edit iconRemove icon
  30. 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
  31. Red Clump Stars. Girardi, L. 2016, ARA&Ap, 54, 95.Edit iconRemove icon
  32. The SDSS-IV eBOSS Emission-line Galaxy Pilot Survey. Comparat, J. et al. 2016, A&A, 592, A121.Edit iconRemove icon
  33. Spectrophotometric Distances: a Bayesian Approach for Optical and NIR data. Santiago, B. X. et al. 2016, A&A, 585, 42.Edit iconRemove icon
  34. 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
  35. Milky Way populations with TRILEGAL. Girardi, L. et al. 2016, Astron. Nachr., 337, 871.Edit iconRemove icon
  36. Cosmology Constraints From Shear Peak Statistics in Dark Energy Survey Science Verification Data. Kacprzak, T. et al. 2016, MNRAS, 463, 3653.Edit iconRemove icon
  37. 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
  38. SDSS-IV MaNGA: Properties of Galaxies with Kinematically Decoupled Stellar and Gaseous Components. Jin, Y. et al. 2016, MNRAS, 463, 913.Edit iconRemove icon
  39. 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
  40. 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
  41. 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
  42. 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
  43. The DES Science Verification Weak Lensing Shear Catalogs. Jarvis, M. et al. 2016, MNRAS, 460, 2245.Edit iconRemove icon
  44. 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
  45. 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
  46. 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
  47. 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
  48. 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
  49. CMB Lensing Tomography with the DES Science Verification Galaxies. Giannantonio, T. et al. 2016, MNRAS, 456, 3213.Edit iconRemove icon
  50. The SDSS-III BOSS Quasar Lens Survey: Discovery of Thirteen Gravitationally Lensed Quasars. More, A. et al. 2016, MNRAS, 456, 1595.Edit iconRemove icon
  51. 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
  52. Weak Lensing by Galaxy Troughs in DES Science Verification Data. Gruen, D. et al. 2016, MNRAS, 455, 3367.Edit iconRemove icon
  53. 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
  54. 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
  55. Cosmic Shear Measurements with DES Science Verification Data. Becker, M.R. et al. 2016, PhRvD, 94, 022002.Edit iconRemove icon
  56. Cosmology from Cosmic Shear with DES Science Verification Data. Abbott, T. et al. 2016, PhRvD, D94, 022001.Edit iconRemove icon
  57. 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
  58. Localization and Broadband Follow-up of the Gravitational-wave Transient GW150914. Abbott, B.P. et al. 2016, ApJL, 826, L13.Edit iconRemove icon
  59. 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
  60. 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
  61. 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
  62. 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
  63. 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
  64. 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
  65. 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
  66. Supplement: Localization and Broadband Follow-up of the Gravitational-wave Transient GW150914. Abbott, B.P. et al. 2016, ApJS, 225, 8.Edit iconRemove icon
  67. The SDSS-IV extended Baryonic Oscillation Spectroscopic Survey: Luminous Red Galaxy Target Selection. Prakash, A. et al. 2016, ApJS, 224, 34.Edit iconRemove icon
  68. The RedMaPPer Galaxy Cluster Catalog From DES Science Verification Data. Rykoff, E.S. et al. 2016, ApJS, 224S, 1.Edit iconRemove icon
  69. SDSS-IV MaNGA: A Serendipitous Observation of Warm Gas Accretion. Cheung, E. et al. 2016, ApJL, 832, 182.Edit iconRemove icon
  70. 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
  71. Determining Ages of APOGEE Giants with Known Distances. Feuillet, D. et al. 2016, ApJ, 817, 40.Edit iconRemove icon
  72. 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
  73. Host Galaxy Identification for Supernova Surveys. Gupta, R. et al. 2016, AJ, 152, 154.Edit iconRemove icon
  74. 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
  75. 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
  76. The SDSS-IV extended Baryon Oscillation Spectroscopic Survey: Overview and Early Data. Dawson, K.S. et al. 2016, AJ, 151, 44.Edit iconRemove icon
  77. 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
  78. Joint Measurement of Lensing-Galaxy Correlations Using SPT and DES SV Data. Baxter, E.J. et al. 2016, MNRAS, 461, 4099.Edit iconRemove icon
  79. Evidence for a Metal-poor Population in the Inner Galactic Bulge. Schultheis, M. et al. 2015, A&A, 584, 45.Edit iconRemove icon
  80. 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
  81. Baryon Acoustic Oscillations in the Ly-alpha forest of BOSS DR11 quasars. Delubac, T. et al. 2015, A&A, 574.Edit iconRemove icon
  82. redMaGiC: Selecting Luminous Red Galaxies from the DES Science Verification Data. Rozo, E. et al. 2015, MNRAS, 461, 1431.Edit iconRemove icon
  83. 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
  84. Discovery of two gravitationally lensed quasars in the Dark Energy Survey. Agnello, A. et al. 2015, MNRAS, 454, 1260.Edit iconRemove icon
  85. 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
  86. Young alpha-enriched Giant Stars in the Solar Neighbourhood. Martig, M. et al. 2015, MNRAS, 451, 2230.Edit iconRemove icon
  87. 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
  88. 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
  89. 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
  90. DES13S2cmm: The First Superluminous Supernova from the Dark Energy Survey. Papadopoulos, A. et al. 2015, MNRAS, 449, 1215.Edit iconRemove icon
  91. The LMC geometry and outer stellar populations from early DES data. Balbinot, E. et al. 2015, MNRAS, 449, 1129.Edit iconRemove icon
  92. 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
  93. Wide-Field Lensing Mass Maps from DES Science Verification Data. Vikram, V. et al. 2015, PRD, 92, 022006.Edit iconRemove icon
  94. Cosmological implications of baryon acoustic oscillation (BAO) measurements. Aubourg, E. et al. 2015, PRD, 9213516.Edit iconRemove icon
  95. 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
  96. The Phoenix Stream: a Cold Stream in the Southern Hemisphere. Balbinot, E. et al. 2015, ApJ, 820, 58.Edit iconRemove icon
  97. Broadband Distortion Modeling in Lyman-alpha Forest BAO Fitting. Blomquist, M. et al. 2015, JCAP, 11, 034.Edit iconRemove icon
  98. 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
  99. 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
  100. The Difference Imaging Pipeline for the Transient Search in the Dark Energy Survey. Kessler, R. et al. 2015, AJ, 150, 172.Edit iconRemove icon
  101. The Dark Energy Camera. Flaugher, B. et al. 2015, AJ, 150, 150.Edit iconRemove icon
  102. 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
  103. Automated Transient Identification in the Dark Energy Survey. Goldstein, D. A. et al. 2015, AJ, 150, 82.Edit iconRemove icon
  104. 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
  105. 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
  106. 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
  107. Stellar Kinematics and Metallicities in the Ultra-faint Dwarf Galaxy Reticulum II. Simon, J.D. et al. 2015, ApJ, 808, 95.Edit iconRemove icon
  108. Eight New Milky Way Companions Discovered in First-Year Dark Energy Survey Data. Bechtol, K. et al. 2015, ApJ, 807, 50.Edit iconRemove icon
  109. 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
  110. Modelling the Transfer Function for the Dark Energy Survey. C.Chang et al. 2015, ApJ, 801, 73.Edit iconRemove icon
  111. 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
  112. Chemo-dynamics with the First Year of APOGEE Data. Anders, F. et al. 2014, A&A, 564, 115.Edit iconRemove icon
  113. The Sloan Digital Sky Survey Quasar Catalog: Tenth Data Release. Paris, I. et al. 2014, A&A, 536, 54.Edit iconRemove icon
  114. The Dark Energy Survey and operations: Year 1. Diehl, H. T. et al. 2014, SPIE, 9149, 91490V.Edit iconRemove icon
  115. The DECam DAQ System: lessons learned after one year of operations. Honscheid, K et al. 2014, SPIE, 9152, 91520G.Edit iconRemove icon
  116. Bayesian Distances and Extinctions for Giants Observed by Kepler and APOGEE. Rodrigues, T.S. et al. 2014, MNRAS, 445, 2758.Edit iconRemove icon
  117. Photometric Redshift Analysis in the Dark Energy Survey Science Verification Data. Sánchez, C. et al. 2014, MNRAS, 445, 1482.Edit iconRemove icon
  118. 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
  119. 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
  120. 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
  121. Accurate Atmospheric Parameters at Moderate Spectral Resolution: Preliminary Application to the MARVELS Survey. Ghezzi, L. et al. 2014, AJ, 148, 105.Edit iconRemove icon
  122. 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
  123. 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
  124. PreCam, a Precursor Observational Campaign for Calibration of the Dark Energy Survey. Kuehn, K. et al. 2013, PASP, 125, 409.Edit iconRemove icon
  125. A Simple Prescription for Simulating and Characterizing Gravitational Arcs. Furlanetto, C. et al. 2013, A&A, 549, A80.Edit iconRemove icon
  126. 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
  127. Detecting Massive Galaxies at High Redshift Using the Dark Energy Survey. Davis, L.M.J. et al. 2013, MNRAS, 434, 296.Edit iconRemove icon
  128. 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
  129. The Soar Gravitational Arc Survey I: Survey Overview and Photometric Catalogs. Furlanetto, C. et al. 2013, MNRAS, 432, 73.Edit iconRemove icon
  130. 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
  131. 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
  132. Target Selection for the Apache Point Observatory Galactic Evolution Experiment (APOGEE). Zasowski, G. et al. 2013, AJ, 146, 81.Edit iconRemove icon
  133. 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
  134. 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
  135. 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
  136. 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
  137. The Baryon Oscillation Spectroscopic Survey of SDSS-III. Dawson, K.S. et al. 2013, AJ, 145, 10.Edit iconRemove icon
  138. 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
  139. 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
  140. 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
  141. A New Milky Way Satellite in the Southern Galactic Sky. Balbinot, E. et al. 2013, ApJ, 767, 101.Edit iconRemove icon
  142. 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
  143. 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
  144. The XMM Cluster Survey: Optical analysis methodology and the first data release. Mehrtens, N. et al. 2012, MNRAS, 423, 1024.Edit iconRemove icon
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