Publicações

Publicações com participação de afiliados ao LIneA (2008 – Presente) 283

Submetidos 41

  1. The metal-rich halo component extended in z: a characterization with Gaia DR2 and APOGEE. Fernández-Alvar, E. et al. 2018, MNRAS. arXiv Edit iconRemove icon
  2. Modeling projection effects in optically-selected cluster catalogues. Costanzi, M. et al. 2018, MNRAS. arXiv Edit iconRemove icon
  3. Evidence for Color Dichotomy in the Primordial Neptunian Trojan Population. Lin, H.W. et al. 2018, Icarus. arXiv Edit iconRemove icon
  4. On the Relative Bias of Void Tracers in the Dark Energy Survey. Pollina, G. et al. 2018, MNRAS. arXiv Edit iconRemove icon
  5. Widespread star formation inside galactic Outflows. Gallagher, R. et al. 2018, MNRAS. arXiv Edit iconRemove icon
  6. The STRong Lensing Insights into the Dark Energy Survey (STRIDES) 2016 Follow-up Campaign. II. New Quasar Lenses from Double Component Fitting. Anguita, T. et al. 2018, MNRAS. arXiv Edit iconRemove icon
  7. Discovery and Dynamical Analysis of an Extreme Trans-Neptunian Object with a High Orbital Inclination. Becker, J.C. et al. 2018, AJ. arXiv Edit iconRemove icon
  8. Star-galaxy Classification in the Dark Energy Survey Y1 Dataset. Sevilla-Noarbe, I. et al. 2018, MNRAS. arXiv Edit iconRemove icon
  9. Dark Energy Survey Year 1 Results: Weak Lensing Mass Calibration of redMaPPer Galaxy Clusters. McClintock, T. et al. 2018, MNRAS. arXiv Edit iconRemove icon
  10. Modelling the Tucana III Stream - a Close Passage With the LMC. Erkal, D. 2018, MNRAS. arXiv Edit iconRemove icon
  11. The First Tidally Disrupted Ultra-Faint Dwarf Galaxy? - Spectroscopic Analysis of the Tucana III Stream. Li, T. et al. 2018, ApJ. arXiv Edit iconRemove icon
  12. Estimating Stellar Birth Radii and the Time Evolution of the Milky Way\'s ISM Metallicity Gradient. Minchev, I. et al. 2018, MNRAS. arXiv Edit iconRemove icon
  13. Chemo-kinematics of the Milky Way from the SDSS-III MARVELS Survey. Grieves, N. et al. 2018, MNRAS. arXiv Edit iconRemove icon
  14. DES Y1 Results: Validating Cosmological Parameter Estimation Using Simulated Dark Energy Surveys. MacCrann, N. et al. 2018, MNRAS. arXiv Edit iconRemove icon
  15. Dissecting Stellar Chemical Abundance Space with t-SNE. Anders, F. et al. 2018, A&A. arXiv Edit iconRemove icon
  16. Forecasts for Warm Dark Matter from Photometric Galaxy Surveys. Martins, J.S. et al. 2018, MNRAS. arXiv Edit iconRemove icon
  17. Dark Energy Survey Year 1 Results: Methodology and Projections for Joint Analysis of Galaxy Clustering, Galaxy Lensing, and CMB Lensing Two-point Functions. Baxter, E.J. et al. 2018, MNRAS. arXiv Edit iconRemove icon
  18. Weak Lensing Analysis of SPT selected Galaxy Clusters using Dark Energy Survey Science Verification Data. Stern, C. et al. 2018, MNRAS. arXiv Edit iconRemove icon
  19. BAO from Angular Clustering: Optimization and Mitigation of Theoretical Systematics. Chan, K.C. et al. 2018, MNRAS. arXiv Edit iconRemove icon
  20. The Dark Energy Survey Data Release 1. Abbott, T.M.C. et al. 2018, . arXiv Edit iconRemove icon
  21. The Dark Energy Survey Image Processing Pipeline. Morganson, E. et al. 2018, . arXiv Edit iconRemove icon
  22. Stellar Streams Discovered in the Dark Energy Survey. Shipp, N. et al. 2018, ApJ. arXiv Edit iconRemove icon
  23. Dark Energy Survey Year 1 Results: Calibration of redMaGiC Redshift Distributions in DES and SDSS from Cross-Correlations. Cawthon, R. et al. 2017, MNRAS. arXiv Edit iconRemove icon
  24. Dark Energy Survey Year 1 Results: Galaxy Sample for BAO Measurement. Crocce,M. et al. 2017, MNRAS. arXiv Edit iconRemove icon
  25. Dark Energy Survey Year 1 Results: Measurement of the Baryon Acoustic Oscillation Scale in the Distribution of Galaxies to Redshift 1. Abbott,T.M.C. et al. 2017, MNRAS. arXiv Edit iconRemove icon
  26. Quasar Accretion Disk Sizes With Continuum Reverberation Mapping From the Dark Energy Survey. Mudd, D. et al. 2017, ApJ. arXiv Edit iconRemove icon
  27. Dark Energy Survey Year 1 Results: A Precise H0 Measurement from DES Y1, BAO, and D/H Data. Abbott, T.M.C. et al. 2017, MNRAS. arXiv Edit iconRemove icon
  28. SDSS-IV MaNGA: Star Formation Cessation in Low-redshift Galaxies I. Dependence on Stellar Mass and Structural Properties. Wang, E., et al. 2017, ApJ. arXiv Edit iconRemove icon
  29. The Splashback Feature around DES Galaxy Clusters: Galaxy Density and Weak Lensing Profiles. Chang, C. et al. 2017, . arXiv Edit iconRemove icon
  30. 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
  31. 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
  32. 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
  33. DES Science Portal: Computing Photometric Redshifts. Gschwend, J. et al. 2017, Astronomy & Computing. arXiv Edit iconRemove icon
  34. Dark Energy Survey Year 1 Results: Cosmological Constraints from Cosmic Shear. Troxel, M.A. et al. 2017, PhRvD. arXiv Edit iconRemove icon
  35. Dark Energy Survey Year 1 Results: Galaxy-Galaxy Lensing. Prat, J. et al. 2017, PhRvD. arXiv Edit iconRemove icon
  36. Dark Energy Survey Year 1 Results: Galaxy Clustering for Combined Probes. Elvin-Poole, J. et al. 2017, . arXiv Edit iconRemove icon
  37. Dark Energy Survey Year 1 Results: Weak Lensing Shape Catalogues. Zuntz, J. et al. 2017, MNRAS. arXiv Edit iconRemove icon
  38. Dark Energy Survey Year 1 Results: Cosmological Constraints from Galaxy. Abbott, T.M.C. et al. 2017, . arXiv Edit iconRemove icon
  39. Dark Energy Survey Year 1 Results: Multi-Probe Methodology and Simulated Likelihood Analyses. Krause, E. et al. 2017, . arXiv Edit iconRemove icon
  40. The DESI Experiment Part II: Instrument Design. Aghamousa, A. et al. 2016, . arXiv Edit iconRemove icon
  41. The DESI Experiment Part I: Science,Targeting, and Survey Design. Aghamousa, A. et al. 2016, . arXiv Edit iconRemove icon

Aceitos 05

  1. Knowledge Transfer of Deep Learning for Galaxy Morphology from one Survey to Another. Domínguez Sánchez, H. et al. 2018, MNRAS. arXiv Edit iconRemove icon
  2. Survey Geometry and the Internal Consistency of Recent Cosmic Shear Measurements. Troxel, M.A. et al. 2018, MNRAS. arXiv Edit iconRemove icon
  3. Density Split Statistics: Joint Model of Counts and Lensing in Cells. Friedrich, O. et al. 2018, PhRvD. arXiv Edit iconRemove icon
  4. DES Meets Gaia: Discovery of Strongly Lensed Quasars From a Multiplet Search. Agnello, A. et al. 2017, MNRAS. arXiv Edit iconRemove icon
  5. 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

Publicados 237

  1. DES Science Portal: Creating Science-Ready Catalogs. Fausti Neto, A. et al. 2018, Astronomy & Computing, 24, 52.Edit iconRemove icon
  2. COSMOGRAIL: the COSmological MOnitoring of GRAvItational Lenses XVI. Time Delays for the Quadruply Imaged Quasar DES J0408?5354 with High-cadence Photometric Monitoring. Courbin, F. et al. 2018, A&A, 609, 71.Edit iconRemove icon
  3. The First 62 AGN Observed With SDSS-IV MaNGA - II: Resolved stellar Populations. Mallmann, N.D. 2018, MNRAS, 478,5491.Edit iconRemove icon
  4. Morphology of AGN Emission Line Regions in SDSS-IV MaNGA Survey. He, Z. et al. 2018, MNRAS, 478, 3614.Edit iconRemove icon
  5. Dark Energy Survey Year 1 Results: The Impact of Galaxy Neighbours on Weak Lensing Cosmology with im3shape. Samuroff, S. et al. 2018, MNRAS, 475, 4524.Edit iconRemove icon
  6. Improving Weak Lensing Mass Map Reconstructions using Gaussian and Sparsity Priors: Application to DES SV. Jeffrey, N. et al. 2018, MNRAS, 479, 2871.Edit iconRemove icon
  7. Dark Energy Survey Year 1 Results: Galaxy Mock Catalogues for BAO. Avila, S. et al. 2018, MNRAS, 479, 94.Edit iconRemove icon
  8. Baryon Content in a Sample of 91 Galaxy Clusters Selected by the South Pole Telescope at 0.2 < z < 1.25. Chiu, I. et al. 2018, MNRAS, 478, 3072.Edit iconRemove icon
  9. Deep SOAR Follow-up Photometry of two Milky Way outer-halo Companions Discovered with Dark Energy Survey. Luque, E. et al. 2018, MNRAS, 478, 2006.Edit iconRemove icon
  10. Cross-Correlation Redshift Calibration Without Spectroscopic Calibration Samples in DES Science Verification Data. Davis, C. et al. 2018, MNRAS, 477, 2196.Edit iconRemove icon
  11. Dark Energy Survey Year 1 Results: Cross-Correlation Redshifts - Methods and Systematics Characterization. Gatti, M. et al. 2018, MNRAS, 477, 1664.Edit iconRemove icon
  12. A Measurement of CMB Cluster Lensing with SPT and DES Year 1 Data. Baxter, E.J. et al. 2018, MNRAS, 476, 2674.Edit iconRemove icon
  13. StarHorse: A Bayesian Tool for Determining Stellar Masses, Ages, Distances, and Extinctions for Field Stars. Queiroz, A.B. et al. 2018, MNRAS, 476, 2556.Edit iconRemove icon
  14. SDSS-IV MaNGA: Evidence of the Importance of AGN Feedback in Low-mass Galaxies. Penny, S.J. et al. 2018, MNRAS, 476, 979.Edit iconRemove icon
  15. Magnification in the Dark Energy Survey Science Verification Data. Garcia-Fernandez, M. et al. 2018, MNRAS, 476, 1071.Edit iconRemove icon
  16. Do Satellite Galaxies Trace Matter in Galaxy Clusters ? Wang, C. et al 2018, MNRAS, 475, 4020.Edit iconRemove icon
  17. UV-Luminous, Star-Forming Hosts of z~2 Reddened Quasars in the Dark Energy Survey. Wethers, C.F. et al. 2018, MNRAS, 475, 3682.Edit iconRemove icon
  18. Dark Energy Survey Year 1 Results: Curved-Sky Weak Lensing Mass Map. Chang, C. et al. 2018, MNRAS, 475, 3165.Edit iconRemove icon
  19. SDSS-IV MaNGA: Identification of Active Galactic Nuclei in Optical Integral Field Unit Surveys. Wylezalek, D. et al. 2018, MNRAS, 474, 1499.Edit iconRemove icon
  20. Galaxy Bias From Galaxy-galaxy Lensing in the DES Science Verification Data. Prat, J. et al. 2018, MNRAS, 473, 1667.Edit iconRemove icon
  21. Cartography of Triangulum-Andromeda Using SDSS Stars. Perottoni, H.D. et al. 2018, MNRAS, 473, 1461.Edit iconRemove icon
  22. Dark Energy Survey Year 1 Results: Redshift Distributions of the Weak Lensing Source Galaxies. Hoyle, B. et al. 2018, MNRAS, 478, 592.Edit iconRemove icon
  23. A Multi-component Matched Filter Cluster Confirmation Tool for eROSITA: Initial Application to the RASS and DES-SV Datasets. Klein, M. et al. 2018, MNRAS, 474, 3324.Edit iconRemove icon
  24. SSDSS IV MaNGA - Properties of AGN Host Galaxies. Sanchez, S.F. et al. 2018, RMxAA, 54, 217.Edit iconRemove icon
  25. How Many Kilonovae Can Be Found in Past, Present, and Future Survey Datasets? Scolnic, D. et al. 2018, ApJL, 852, L3.Edit iconRemove icon
  26. Dark Energy Survey Year 1 Results: Photometric Data Set for Cosmology. Drlica-Wagner, A. et al. 2018, ApJS, 235, 33.Edit iconRemove icon
  27. 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. 2018, ApJS, 235, 42.Edit iconRemove icon
  28. Extreme variability quasars from the Sloan Digital Sky Survey and the Dark Energy Survey. Rumbaugh, N. et al. 2018, ApJ, 854, 160.Edit iconRemove icon
  29. Studying the Ultraviolet Spectrum of the First Spectroscopically Confirmed Supernova at redshift two. Smith, M. et al. 2018, ApJ, 854, 37.Edit iconRemove icon
  30. Chemical Abundance Analysis of Three alpha-Poor, Metal-Poor Stars in the Ultra-Faint Dwarf Galaxy Horologium I. Nagasawa, D.Q. et al. 2018, ApJ, 852, 99.Edit iconRemove icon
  31. The Bulge Metallicity Distribution from the APOGEE Survey. Garcia Perez, A.E. et al. 2018, ApJ, 852, 91.Edit iconRemove icon
  32. The Clustering of Luminous Red Galaxies at z ~ 0.7 from eBOSS Data. Zhai, Z. et al. 2018, ApJ, 848, 76.Edit iconRemove icon
  33. Forward Global Photometric Calibration of the Dark Energy Survey. Burke, D. et al. 2018, AJ, 155, 41.Edit iconRemove icon
  34. A Gravitational-wave Standard Siren Measurement of the Hubble Constant. Abbott, B.P. et al. 2017, Nature, 551, 85.Edit iconRemove icon
  35. The Size, Shape, Density and Ring of the Dwarf Planet Haumea From a Stellar Occultation. Ortiz, J.L. et al. 2017, Nature, 550, 219.Edit iconRemove icon
  36. Results from a triple chord stellar occultation and far-infrared photometry of the trans-Neptunian object (229762) 2007 UK126. Schindler, K. et al. 2017, A&A, 600, 12.Edit iconRemove icon
  37. 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
  38. Models of the Strongly Lensed Quasar DES J0408-5354. Agnello, A. et al. 2017, MNRAS, 472, 4038.Edit iconRemove icon
  39. 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
  40. 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
  41. 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
  42. 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
  43. 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
  44. 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
  45. 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
  46. 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
  47. 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
  48. A Stellar Over-density Associated with the Small Magellanic Cloud. Pieres, A. et al. 2017, MNRAS, 468, 1349.Edit iconRemove icon
  49. 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
  50. Exploring the Brown Dwarf Desert: New Substellar Companions from the SDSS-III MARVELS Survey. Grieves, N. 2017, MNRAS, 467, 4262.Edit iconRemove icon
  51. 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
  52. 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
  53. 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
  54. Cardinal kinematics: I. Rotation Fields of the APOGEE Survey. Kordopatis, G. et al. 2017, MNRAS, 467, 469.Edit iconRemove icon
  55. 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
  56. 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
  57. 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
  58. Galaxy-Galaxy Lensing in the DES Science Verification Data. Clampitt, J. et al. 2017, MNRAS, 465, 4204.Edit iconRemove icon
  59. Imprint of DES Super-structures on the Cosmic Microwave Background. Kovács, A. et al. 2017, MNRAS, 465, 4166.Edit iconRemove icon
  60. 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
  61. 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
  62. 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
  63. 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
  64. 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
  65. Chemical trends in the Galactic Halo from APOGEE data. Fernández-Alvar, E. 2017, MNRAS, 465, 1586.Edit iconRemove icon
  66. Cosmic Voids and Void Lensing in the Dark Energy Survey Science Verification Data. Sánchez, C. et al. 2017, MNRAS, 465,746.Edit iconRemove icon
  67. SDSS-IV MaNGA: Stellar Population Gradients as a Function of Galaxy Environment. Goddard, D. et al. 2017, MNRAS, 465, 688.Edit iconRemove icon
  68. 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
  69. SDSS-IV MANGA: Spatially Resolved Star Formation Main Sequence and LI(N)ER Sequence. Hsieh, B.C et al. 2017, ApJL, 851, L24.Edit iconRemove icon
  70. DECam and DES Perspective of the GW170817 Host, NGC 4993: Indication for Dynamically-driven Formation of Binary Neutron Star in Early Type Galaxies. Palmese, A. et al. 2017, ApJL, 849, L34.Edit iconRemove icon
  71. Multi-messenger Observations of a Binary Neutron Star Merger. Abbott, B.P. et al. 2017, ApJL, 848, L12.Edit iconRemove icon
  72. 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
  73. 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
  74. Atypical Mg-poor Milky Way Field Stars With Globular Cluster Second-generation Like Chemical Patterns. Fernández-Trincado, J.G. et al. 2017, ApJL, 846, 2.Edit iconRemove icon
  75. Discovery and Physical Characterization of a Large Scattered Disk Object at 92 AU. Gerdes, D. et al. 2017, ApJL, 939L, 15.Edit iconRemove icon
  76. Discovery of the Lensed Quasar System DES J0408-5354. Lin, H. et al. 2017, ApJL, 838, L15.Edit iconRemove icon
  77. 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, 233, 25.Edit iconRemove icon
  78. 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
  79. 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
  80. 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
  81. An R-process enhanced star in the dwarf galaxy Tucana III. Hansen, T.T. et al. 2017, ApJ, 838, 44.Edit iconRemove icon
  82. Farthest Neighbor: The Distant Milky Way Satellite Eridanus II. Li, T.S. et al. 2017, ApJ, 838, 8.Edit iconRemove icon
  83. A Search for Kilonovae in the Dark Energy Survey. Doctor, Z. et al. 2017, ApJ, 837, 57.Edit iconRemove icon
  84. Nearest Neighbor: The Low-Mass Milky Way Satellite Tucana III. Simon, J.D. et al. 2017, ApJ, 838,11.Edit iconRemove icon
  85. 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
  86. Size and Shape of Chariklo from Multi-epoch Stellar Occultations. Leiva, R. et al. 2017, AJ, 154, 159.Edit iconRemove icon
  87. The Structure of Chariklo’s Rings from Stellar Occultations. Bérad, D. et al. 2017, AJ, 154, 144.Edit iconRemove icon
  88. The Apache Point Observatory Galactic Evolution Experiment (APOGEE). Majewski, S.R. et al. 2017, AJ, 154, 94.Edit iconRemove icon
  89. 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
  90. Study of the Plutino Object (208996) 2003 AZ84 from Stellar Occultations: Size, Shape, and Topographic Features. Dias-Oliveira, A. et al. 2017, AJ, 154, 22.Edit iconRemove icon
  91. 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
  92. Redshift Measurement and Spectral Classification for eBOSS Galaxies with the Redmonster Software. Hutchinson, T. et al. 2017, AJ, 152, 205.Edit iconRemove icon
  93. Astrometric Calibration and Performance of the Dark Energy Camera. Bernstein, G. M. et al. 2017, PASP, 129, 4503.Edit iconRemove icon
  94. DESAlert: Enabling Real-Time Transient Follow-Up with Dark Energy Survey Data. Poci, A. et al. 2016, PASA, 33, 49.Edit iconRemove icon
  95. Crowdsourcing Quality Control for Dark Energy Survey Images. Melchior, P. et al. 2016, Astronomy & Computing, 16, 99.Edit iconRemove icon
  96. 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
  97. Red Clump Stars. Girardi, L. 2016, ARA&Ap, 54, 95.Edit iconRemove icon
  98. The SDSS-IV eBOSS Emission-line Galaxy Pilot Survey. Comparat, J. et al. 2016, A&A, 592, A121.Edit iconRemove icon
  99. Spectrophotometric Distances: a Bayesian Approach for Optical and NIR data. Santiago, B. X. et al. 2016, A&A, 585, 42.Edit iconRemove icon
  100. 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
  101. Milky Way populations with TRILEGAL. Girardi, L. et al. 2016, Astron. Nachr., 337, 871.Edit iconRemove icon
  102. Cosmology Constraints From Shear Peak Statistics in Dark Energy Survey Science Verification Data. Kacprzak, T. et al. 2016, MNRAS, 463, 3653.Edit iconRemove icon
  103. 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
  104. SDSS-IV MaNGA: Properties of Galaxies with Kinematically Decoupled Stellar and Gaseous Components. Jin, Y. et al. 2016, MNRAS, 463, 913.Edit iconRemove icon
  105. 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
  106. 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
  107. 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
  108. 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
  109. The DES Science Verification Weak Lensing Shear Catalogs. Jarvis, M. et al. 2016, MNRAS, 460, 2245.Edit iconRemove icon
  110. 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
  111. 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
  112. 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
  113. 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
  114. 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
  115. CMB Lensing Tomography with the DES Science Verification Galaxies. Giannantonio, T. et al. 2016, MNRAS, 456, 3213.Edit iconRemove icon
  116. The SDSS-III BOSS Quasar Lens Survey: Discovery of Thirteen Gravitationally Lensed Quasars. More, A. et al. 2016, MNRAS, 456, 1595.Edit iconRemove icon
  117. 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
  118. Weak Lensing by Galaxy Troughs in DES Science Verification Data. Gruen, D. et al. 2016, MNRAS, 455, 3367.Edit iconRemove icon
  119. 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
  120. 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
  121. Cosmic Shear Measurements with DES Science Verification Data. Becker, M.R. et al. 2016, PhRvD, 94, 022002.Edit iconRemove icon
  122. Cosmology from Cosmic Shear with DES Science Verification Data. Abbott, T. et al. 2016, PhRvD, D94, 022001.Edit iconRemove icon
  123. 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
  124. 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
  125. Localization and Broadband Follow-up of the Gravitational-wave Transient GW150914. Abbott, B.P. et al. 2016, ApJL, 826, L13.Edit iconRemove icon
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