Publicações

Publicações com participação de afiliados ao LIneA (2008 – Presente) 310

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Submetidos 37

2018

31
  1. Finding High-redshift Strong Lenses in DES Using Convolutional Neural Networks. Jacobs, C. et al. 2018, MNRAS. arXiv Edit iconRemove icon
  2. Quasar Accretion Disk Sizes from Continuum Reverberation Mapping in the DES Standard Star Fields. Yu, Z. et al. 2018, . arXiv Edit iconRemove icon
  3. Steve: A hierarchical Bayesian model for Supernova Cosmology. Hinton, S.R. et al. 2018, . arXiv Edit iconRemove icon
  4. First Cosmology Results Using Type Ia Supernovae from the Dark Energy Survey: Effects of Chromatic Corrections to Supernova Photometry on Measurements of Cosmological Parameters. Lasker, J. et al. 2018, MNRAS. arXiv Edit iconRemove icon
  5. First Cosmology Results using Type Ia Supernova from the Dark Energy Survey: Simulations to Correct Supernova Distance Biases. Kessler, R. et al. 2018, . arXiv Edit iconRemove icon
  6. First Cosmology Results Using Type Ia Supernovae From the Dark Energy Survey: Photometric Pipeline and Light Curve Data Release. Brout, D. et al. 2018, ApJ. arXiv Edit iconRemove icon
  7. First Cosmology Results Using Type Ia Supernovae From the Dark Energy Survey: Analysis, Systematic Uncertainties, and Validation. Brout, D. et al. 2018, ApJ. arXiv Edit iconRemove icon
  8. First Cosmological Results using Type Ia Supernovae from the Dark Energy Survey: Measurement of the Hubble Constant. Macaulay, E. et al. 2018, MNRAS. arXiv Edit iconRemove icon
  9. Cosmological Constraints from Multiple Probes in the Dark Energy Survey. T. M. C. Abbott et al. 2018, . arXiv Edit iconRemove icon
  10. First Cosmology Results using Type Ia Supernovae from the Dark Energy Survey: Constraints on Cosmological Parameters. Abbott, T.M.C et al. 2018, . arXiv Edit iconRemove icon
  11. Mass Calibration of Optically Selected DES clusters using a Measurement of CMB-Cluster Lensing with SPTpol Data. Raghunathan, S. et al. 2018, ApJ. arXiv Edit iconRemove icon
  12. Dark Energy Survey Year 1 Results: Methods for Cluster Cosmology and Application to the SDSS. Costanzi, M. et al. 2018, MNRAS. arXiv Edit iconRemove icon
  13. Dark Energy Survey Year 1 Results: Cross-correlation Between DES Y1 Galaxy Weak Lensing and SPT+Planck CMB Weak Lensing. Omori, Y. et al. 2018, PhRvD. arXiv Edit iconRemove icon
  14. Dark Energy Survey Year 1 Results: Tomographic Cross-correlations Between DES Galaxies and CMB Lensing from SPT+Planck. Omori, Y. et al. 2018, PhRvD. arXiv Edit iconRemove icon
  15. Dark Energy Survey Year 1 Results: Joint Analysis of Galaxy Clustering, Galaxy Lensing, and CMB Lensing Two-point Functions. Abbott, T.C. et al. 2018, . arXiv Edit iconRemove icon
  16. Cosmological Lensing Ratios with DES Y1, SPT and Planck. Prat, J. et al. 2018, MNRAS. arXiv Edit iconRemove icon
  17. The Morphology and Structure of Stellar Populations in the Fornax Dwarf Spheroidal Galaxy from Dark Energy Survey Data. Mei-Yu Wang et al. 2018, ApJ. arXiv Edit iconRemove icon
  18. Dark Energy Survey Year 1 Results: The Effect of Intra-cluster Light on Photometric Redshifts for Weak Gravitational Lensing. Gruen, D. et al. 2018, MNRAS. arXiv Edit iconRemove icon
  19. Measuring Linear and Non-linear Galaxy Bias Using Counts-in-Cells in the Dark Energy Survey Science Verification Data. Salvador, A.I. et al. 2018, MNRAS. arXiv Edit iconRemove icon
  20. Dark Energy Survey Year 1 Results: Measurement of the Galaxy Angular Power Spectrum. Camacho, H. et al. 2018, MNRAS. arXiv Edit iconRemove icon
  21. Is Every Strong Lens Model Unhappy in Its Own Way? Uniform Modelling of a Sample of 12 Quadruply+Iimaged Quasars. Shajib, A.J. et al. 2018, MNRAS. arXiv Edit iconRemove icon
  22. 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
  23. Modeling projection effects in optically-selected cluster catalogues. Costanzi, M. et al. 2018, MNRAS. arXiv Edit iconRemove icon
  24. Evidence for Color Dichotomy in the Primordial Neptunian Trojan Population. Lin, H.W. et al. 2018, Icarus. arXiv Edit iconRemove icon
  25. On the Relative Bias of Void Tracers in the Dark Energy Survey. Pollina, G. et al. 2018, MNRAS. arXiv Edit iconRemove icon
  26. Widespread star formation inside galactic Outflows. Gallagher, R. et al. 2018, MNRAS. arXiv Edit iconRemove icon
  27. Dark Energy Survey Year 1 Results: Weak Lensing Mass Calibration of redMaPPer Galaxy Clusters. McClintock, T. et al. 2018, MNRAS. arXiv Edit iconRemove icon
  28. Dissecting Stellar Chemical Abundance Space with t-SNE. Anders, F. et al. 2018, A&A. arXiv Edit iconRemove icon
  29. 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
  30. 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
  31. The Dark Energy Survey Data Release 1. Abbott, T.M.C. et al. 2018, . arXiv Edit iconRemove icon

2017

04
  1. 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
  2. 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
  3. 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
  4. Dark Energy Survey Year 1 Results: Multi-Probe Methodology and Simulated Likelihood Analyses. Krause, E. et al. 2017, . arXiv Edit iconRemove icon

2016

02
  1. The DESI Experiment Part II: Instrument Design. Aghamousa, A. et al. 2016, . arXiv Edit iconRemove icon
  2. The DESI Experiment Part I: Science,Targeting, and Survey Design. Aghamousa, A. et al. 2016, . arXiv Edit iconRemove icon

Aceitos 05

2018

05
  1. Dynamical Analysis of Three Distant Trans-Neptunian Objects with Similar Orbits. Khain, T. et al. 2018, AJ. arXiv Edit iconRemove icon
  2. Dark Energy Survey Year 1 Results: Constraints on Extended Cosmological Models from Galaxy Clustering and Weak Lensing. Abbott, T.M.C. et al. 2018, PhRvD. arXiv Edit iconRemove icon
  3. Mildly Suppressed Star Formation in Central Regions of MaNGA Seyfert Galaxies. Bing, L. et al. 2018, MNRAS. arXiv Edit iconRemove icon
  4. Knowledge Transfer of Deep Learning for Galaxy Morphology from one Survey to Another. Domínguez Sánchez, H. et al. 2018, MNRAS. arXiv Edit iconRemove icon
  5. Dark Energy Survey Year 1 Results: Galaxy Sample for BAO Measurement. Crocce,M. et al. 2018, MNRAS. arXiv Edit iconRemove icon

Publicados 268

2018

64
  1. The DESI Instrument Control System: Status and Early Testing. Honscheid, K. et al. 2018, SPIE, 10707, 1.Edit iconRemove icon
  2. Dark energy survey operations: years 4 and 5. Diehl, H.T. et al. 2018, Proceedings of SPIE, 10704, 10704D.Edit iconRemove icon
  3. DES Science Portal: Computing Photometric Redshifts. Gschwend, J. et al. 2018, Astronomy & Computing, 25, 58.Edit iconRemove icon
  4. DES Science Portal: Creating Science-Ready Catalogs. Fausti Neto, A. et al. 2018, Astronomy & Computing, 24, 52.Edit iconRemove icon
  5. 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
  6. Dark Energy Survey Year 1 Results: Cosmological Constraints from Cosmic Shear. Troxel, M.A. et al. 2018, PhRvD, 98, 043528.Edit iconRemove icon
  7. Dark Energy Survey Year 1 Results: Cosmological Constraints from Galaxy XClustering and Weak Lensing. Abbott, T.M.C. et al. 2018, PhRvD, 98, 043526.Edit iconRemove icon
  8. Dark Energy Survey Year 1 Results: Galaxy Clustering for Combined Probes. Elvin-Poole, J. et al. 2018, PhRvD, 98, 042006.Edit iconRemove icon
  9. Dark Energy Survey Year 1 Results: Galaxy-Galaxy Lensing. Prat, J. et al. 2018, PhRvD, 98, 042005.Edit iconRemove icon
  10. Density Split Statistics: Joint Model of Counts and Lensing in Cells. Friedrich, O. et al. 2018, PhRvD, 98, 023508.Edit iconRemove icon
  11. Density split statistics: Cosmological constraints from counts and lensing in cells in DES Y1 and SDSS. Gruen, D. et al. 2018, PhRvD, 98, 023507.Edit iconRemove icon
  12. The First 62 AGN Observed With SDSS-IV MaNGA - II: Resolved stellar Populations. Mallmann, N.D. 2018, MNRAS, 478, 5491.Edit iconRemove icon
  13. Morphology of AGN Emission Line Regions in SDSS-IV MaNGA Survey. He, Z. et al. 2018, MNRAS, 478, 3614.Edit iconRemove icon
  14. 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
  15. Star-galaxy Classification in the Dark Energy Survey Y1 Dataset. Sevilla-Noarbe, I. et al. 2018, MNRAS, 481, 5451.Edit iconRemove icon
  16. Chemo-kinematics of the Milky Way from the SDSS-III MARVELS Survey. Grieves, N. et al. 2018, MNRAS, 481, 3244.Edit iconRemove icon
  17. Modelling the Tucana III Stream - a Close Passage With the LMC. Erkal, D. 2018, MNRAS, 481, 3148.Edit iconRemove icon
  18. Dark Energy Survey Year 1 Results: Calibration of redMaGiC Redshift Distributions in DES and SDSS from Cross-Correlations. Cawthon, R. et al. 2018, MNRAS, 481, 2427.Edit iconRemove icon
  19. A Catalogue of Structural and Morphological Measurements for DES Y1. Tarsitano, F. et al. 2018, MNRAS, 481, 2018.Edit iconRemove icon
  20. Estimating Stellar Birth Radii and the Time Evolution of the Milky Way\\\'s ISM Metallicity Gradient. Minchev, I. et al. 2018, MNRAS, 481, 1645.Edit iconRemove icon
  21. Forecasts for Warm Dark Matter from Photometric Galaxy Surveys. Martins, J.S. et al. 2018, MNRAS, 481, 1290.Edit iconRemove icon
  22. Dark Energy Survey Year 1 Results: Weak Lensing Shape Catalogues. Zuntz, J. et al. 2018, MNRAS, 481, 1149.Edit iconRemove icon
  23. The STRong lensing Insights into the Dark Energy Survey (STRIDES) 2016 follow-up campaign. I. Overview and classification of candidates selected by two techniques. Treu, T. et al. 2018, MNRAS, 481, 1041.Edit iconRemove icon
  24. 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, 480, 5017.Edit iconRemove icon
  25. DES Y1 Results: Validating Cosmological Parameter Estimation Using Simulated Dark Energy Surveys. MacCrann, N. et al. 2018, MNRAS, 480, 4614.Edit iconRemove icon
  26. Dark Energy Survey Year 1 Results: A Precise H0 Measurement from DES Y1, BAO, and D/H Data. Abbott, T.M.C. et al. 2018, MNRAS, 480, 3879.Edit iconRemove icon
  27. BAO from Angular Clustering: Optimization and Mitigation of Theoretical Systematics. Chan, K.C. et al. 2018, MNRAS, 480, 3031.Edit iconRemove icon
  28. Survey Geometry and the Internal Consistency of Recent Cosmic Shear Measurements. Troxel, M.A. et al. 2018, MNRAS, 479, 4998.Edit iconRemove icon
  29. DES Meets Gaia: Discovery of Strongly Lensed Quasars From a Multiplet Search. Agnello, A. et al. 2018, MNRAS, 479, 4345.Edit iconRemove icon
  30. 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
  31. Dark Energy Survey Year 1 Results: Galaxy Mock Catalogues for BAO. Avila, S. et al. 2018, MNRAS, 479, 94.Edit iconRemove icon
  32. 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
  33. 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
  34. 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
  35. Cross-Correlation Redshift Calibration Without Spectroscopic Calibration Samples in DES Science Verification Data. Davis, C. et al. 2018, MNRAS, 477, 2196.Edit iconRemove icon
  36. Dark Energy Survey Year 1 Results: Cross-Correlation Redshifts - Methods and Systematics Characterization. Gatti, M. et al. 2018, MNRAS, 477, 1664.Edit iconRemove icon
  37. 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
  38. 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
  39. 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
  40. Magnification in the Dark Energy Survey Science Verification Data. Garcia-Fernandez, M. et al. 2018, MNRAS, 476, 1071.Edit iconRemove icon
  41. Do Satellite Galaxies Trace Matter in Galaxy Clusters ? Wang, C. et al 2018, MNRAS, 475, 4020.Edit iconRemove icon
  42. 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
  43. Dark Energy Survey Year 1 Results: Curved-Sky Weak Lensing Mass Map. Chang, C. et al. 2018, MNRAS, 475, 3165.Edit iconRemove icon
  44. 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
  45. Galaxy Bias From Galaxy-galaxy Lensing in the DES Science Verification Data. Prat, J. et al. 2018, MNRAS, 473, 1667.Edit iconRemove icon
  46. Cartography of Triangulum-Andromeda Using SDSS Stars. Perottoni, H.D. et al. 2018, MNRAS, 473, 1461.Edit iconRemove icon
  47. 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
  48. SSDSS IV MaNGA - Properties of AGN Host Galaxies. Sanchez, S.F. et al. 2018, RMxAA, 54, 217.Edit iconRemove icon
  49. How Many Kilonovae Can Be Found in Past, Present, and Future Survey Datasets? Scolnic, D. et al. 2018, ApJL, 852, L3.Edit iconRemove icon
  50. Dark Energy Survey Year 1 Results: Photometric Data Set for Cosmology. Drlica-Wagner, A. et al. 2018, ApJS, 235, 33.Edit iconRemove icon
  51. 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
  52. The First Tidally Disrupted Ultra-Faint Dwarf Galaxy? - Spectroscopic Analysis of the Tucana III Stream. Li, T. et al. 2018, ApJ, 866, 22.Edit iconRemove icon
  53. The Splashback Feature around DES Galaxy Clusters: Galaxy Density and Weak Lensing Profiles. Chang, C. et al. 2018, ApJ, 864, 83.Edit iconRemove icon
  54. Stellar Streams Discovered in the Dark Energy Survey. Shipp, N. et al. 2018, ApJ, 862, 114.Edit iconRemove icon
  55. Quasar Accretion Disk Sizes With Continuum Reverberation Mapping From the Dark Energy Survey. Mudd, D. et al. 2018, ApJ, 862,123.Edit iconRemove icon
  56. SDSS-IV MaNGA: Star Formation Cessation in Low-redshift Galaxies I. Dependence on Stellar Mass and Structural Properties. Wang, E., et al. 2018, ApJ, 856, 137.Edit iconRemove icon
  57. 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
  58. Studying the Ultraviolet Spectrum of the First Spectroscopically Confirmed Supernova at redshift two. Smith, M. et al. 2018, ApJ, 854, 37.Edit iconRemove icon
  59. 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
  60. The Bulge Metallicity Distribution from the APOGEE Survey. Garcia Perez, A.E. et al. 2018, ApJ, 852, 91.Edit iconRemove icon
  61. The Clustering of Luminous Red Galaxies at z ~ 0.7 from eBOSS Data. Zhai, Z. et al. 2018, ApJ, 848, 76.Edit iconRemove icon
  62. Discovery and Dynamical Analysis of an Extreme Trans-Neptunian Object with a High Orbital Inclination. Becker, J.C. et al. 2018, AJ, 156, 81.Edit iconRemove icon
  63. Forward Global Photometric Calibration of the Dark Energy Survey. Burke, D. et al. 2018, AJ, 155, 41.Edit iconRemove icon
  64. The Dark Energy Survey Image Processing Pipeline. Morganson, E. et al. 2018, PASP, 130, 4501.Edit iconRemove icon

2017

60
  1. A Gravitational-wave Standard Siren Measurement of the Hubble Constant. Abbott, B.P. et al. 2017, Nature, 551, 85.Edit iconRemove icon
  2. 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
  3. 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
  4. 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
  5. Models of the Strongly Lensed Quasar DES J0408-5354. Agnello, A. et al. 2017, MNRAS, 472, 4038.Edit iconRemove icon
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. A Stellar Over-density Associated with the Small Magellanic Cloud. Pieres, A. et al. 2017, MNRAS, 468, 1349.Edit iconRemove icon
  16. 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
  17. Exploring the Brown Dwarf Desert: New Substellar Companions from the SDSS-III MARVELS Survey. Grieves, N. 2017, MNRAS, 467, 4262.Edit iconRemove icon
  18. 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
  19. 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
  20. 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
  21. Cardinal kinematics: I. Rotation Fields of the APOGEE Survey. Kordopatis, G. et al. 2017, MNRAS, 467, 469.Edit iconRemove icon
  22. 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
  23. 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
  24. 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
  25. Galaxy-Galaxy Lensing in the DES Science Verification Data. Clampitt, J. et al. 2017, MNRAS, 465, 4204.Edit iconRemove icon
  26. Imprint of DES Super-structures on the Cosmic Microwave Background. Kovács, A. et al. 2017, MNRAS, 465, 4166.Edit iconRemove icon
  27. 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
  28. 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
  29. 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
  30. 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
  31. 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
  32. Chemical trends in the Galactic Halo from APOGEE data. Fernández-Alvar, E. 2017, MNRAS, 465, 1586.Edit iconRemove icon
  33. Cosmic Voids and Void Lensing in the Dark Energy Survey Science Verification Data. Sánchez, C. et al. 2017, MNRAS, 465,746.Edit iconRemove icon
  34. SDSS-IV MaNGA: Stellar Population Gradients as a Function of Galaxy Environment. Goddard, D. et al. 2017, MNRAS, 465, 688.Edit iconRemove icon
  35. 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
  36. 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
  37. 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
  38. Multi-messenger Observations of a Binary Neutron Star Merger. Abbott, B.P. et al. 2017, ApJL, 848, L12.Edit iconRemove icon
  39. 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
  40. 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
  41. 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
  42. Discovery and Physical Characterization of a Large Scattered Disk Object at 92 AU. Gerdes, D. et al. 2017, ApJL, 939L, 15.Edit iconRemove icon
  43. Discovery of the Lensed Quasar System DES J0408-5354. Lin, H. et al. 2017, ApJL, 838, L15.Edit iconRemove icon
  44. 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
  45. 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
  46. 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
  47. 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
  48. An R-process enhanced star in the dwarf galaxy Tucana III. Hansen, T.T. et al. 2017, ApJ, 838, 44.Edit iconRemove icon
  49. Farthest Neighbor: The Distant Milky Way Satellite Eridanus II. Li, T.S. et al. 2017, ApJ, 838, 8.Edit iconRemove icon
  50. A Search for Kilonovae in the Dark Energy Survey. Doctor, Z. et al. 2017, ApJ, 837, 57.Edit iconRemove icon
  51. Nearest Neighbor: The Low-Mass Milky Way Satellite Tucana III. Simon, J.D. et al. 2017, ApJ, 838,11.Edit iconRemove icon
  52. 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
  53. Size and Shape of Chariklo from Multi-epoch Stellar Occultations. Leiva, R. et al. 2017, AJ, 154, 159.Edit iconRemove icon
  54. The Structure of Chariklo’s Rings from Stellar Occultations. Bérad, D. et al. 2017, AJ, 154, 144.Edit iconRemove icon
  55. The Apache Point Observatory Galactic Evolution Experiment (APOGEE). Majewski, S.R. et al. 2017, AJ, 154, 94.Edit iconRemove icon
  56. 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
  57. 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
  58. 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
  59. Redshift Measurement and Spectral Classification for eBOSS Galaxies with the Redmonster Software. Hutchinson, T. et al. 2017, AJ, 152, 205.Edit iconRemove icon
  60. Astrometric Calibration and Performance of the Dark Energy Camera. Bernstein, G. M. et al. 2017, PASP, 129, 4503.Edit iconRemove icon

2016

52
  1. DESAlert: Enabling Real-Time Transient Follow-Up with Dark Energy Survey Data. Poci, A. et al. 2016, PASA, 33, 49.Edit iconRemove icon
  2. Crowdsourcing Quality Control for Dark Energy Survey Images. Melchior, P. et al. 2016, Astronomy & Computing, 16, 99.Edit iconRemove icon
  3. 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
  4. Red Clump Stars. Girardi, L. 2016, ARA&Ap, 54, 95.Edit iconRemove icon
  5. The SDSS-IV eBOSS Emission-line Galaxy Pilot Survey. Comparat, J. et al. 2016, A&A, 592, A121.Edit iconRemove icon
  6. Spectrophotometric Distances: a Bayesian Approach for Optical and NIR data. Santiago, B. X. et al. 2016, A&A, 585, 42.Edit iconRemove icon
  7. 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
  8. Milky Way populations with TRILEGAL. Girardi, L. et al. 2016, Astron. Nachr., 337, 871.Edit iconRemove icon
  9. Cosmology Constraints From Shear Peak Statistics in Dark Energy Survey Science Verification Data. Kacprzak, T. et al. 2016, MNRAS, 463, 3653.Edit iconRemove icon
  10. 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
  11. SDSS-IV MaNGA: Properties of Galaxies with Kinematically Decoupled Stellar and Gaseous Components. Jin, Y. et al. 2016, MNRAS, 463, 913.Edit iconRemove icon
  12. 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
  13. 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
  14. 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
  15. 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
  16. The DES Science Verification Weak Lensing Shear Catalogs. Jarvis, M. et al. 2016, MNRAS, 460, 2245.Edit iconRemove icon
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. CMB Lensing Tomography with the DES Science Verification Galaxies. Giannantonio, T. et al. 2016, MNRAS, 456, 3213.Edit iconRemove icon
  23. The SDSS-III BOSS Quasar Lens Survey: Discovery of Thirteen Gravitationally Lensed Quasars. More, A. et al. 2016, MNRAS, 456, 1595.Edit iconRemove icon
  24. 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
  25. Weak Lensing by Galaxy Troughs in DES Science Verification Data. Gruen, D. et al. 2016, MNRAS, 455, 3367.Edit iconRemove icon
  26. 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
  27. 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
  28. Cosmic Shear Measurements with DES Science Verification Data. Becker, M.R. et al. 2016, PhRvD, 94, 022002.Edit iconRemove icon
  29. Cosmology from Cosmic Shear with DES Science Verification Data. Abbott, T. et al. 2016, PhRvD, D94, 022001.Edit iconRemove icon
  30. 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
  31. 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
  32. Localization and Broadband Follow-up of the Gravitational-wave Transient GW150914. Abbott, B.P. et al. 2016, ApJL, 826, L13.Edit iconRemove icon
  33. 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
  34. 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
  35. 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
  36. 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
  37. 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
  38. 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
  39. 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
  40. Supplement: Localization and Broadband Follow-up of the Gravitational-wave Transient GW150914. Abbott, B.P. et al. 2016, ApJS, 225, 8.Edit iconRemove icon
  41. The SDSS-IV extended Baryonic Oscillation Spectroscopic Survey: Luminous Red Galaxy Target Selection. Prakash, A. et al. 2016, ApJS, 224, 34.Edit iconRemove icon
  42. The RedMaPPer Galaxy Cluster Catalog From DES Science Verification Data. Rykoff, E.S. et al. 2016, ApJS, 224S, 1.Edit iconRemove icon
  43. SDSS-IV MaNGA: A Serendipitous Observation of Warm Gas Accretion. Cheung, E. et al. 2016, ApJL, 832, 182.Edit iconRemove icon
  44. 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
  45. Determining Ages of APOGEE Giants with Known Distances. Feuillet, D. et al. 2016, ApJ, 817, 40.Edit iconRemove icon
  46. 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
  47. Host Galaxy Identification for Supernova Surveys. Gupta, R. et al. 2016, AJ, 152, 154.Edit iconRemove icon
  48. 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
  49. 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
  50. The SDSS-IV extended Baryon Oscillation Spectroscopic Survey: Overview and Early Data. Dawson, K.S. et al. 2016, AJ, 151, 44.Edit iconRemove icon
  51. 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
  52. Joint Measurement of Lensing-Galaxy Correlations Using SPT and DES SV Data. Baxter, E.J. et al. 2016, MNRAS, 461, 4099.Edit iconRemove icon

2015

33
  1. Evidence for a Metal-poor Population in the Inner Galactic Bulge. Schultheis, M. et al. 2015, A&A, 584, 45.Edit iconRemove icon
  2. 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
  3. Baryon Acoustic Oscillations in the Ly-alpha forest of BOSS DR11 quasars. Delubac, T. et al. 2015, A&A, 574.Edit iconRemove icon
  4. redMaGiC: Selecting Luminous Red Galaxies from the DES Science Verification Data. Rozo, E. et al. 2015, MNRAS, 461, 1431.Edit iconRemove icon
  5. 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
  6. Discovery of two gravitationally lensed quasars in the Dark Energy Survey. Agnello, A. et al. 2015, MNRAS, 454, 1260.Edit iconRemove icon
  7. 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
  8. Young alpha-enriched Giant Stars in the Solar Neighbourhood. Martig, M. et al. 2015, MNRAS, 451, 2230.Edit iconRemove icon
  9. 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
  10. 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
  11. 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
  12. DES13S2cmm: The First Superluminous Supernova from the Dark Energy Survey. Papadopoulos, A. et al. 2015, MNRAS, 449, 1215.Edit iconRemove icon
  13. The LMC geometry and outer stellar populations from early DES data. Balbinot, E. et al. 2015, MNRAS, 449, 1129.Edit iconRemove icon
  14. 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
  15. Wide-Field Lensing Mass Maps from DES Science Verification Data. Vikram, V. et al. 2015, PRD, 92, 022006.Edit iconRemove icon
  16. Cosmological implications of baryon acoustic oscillation (BAO) measurements. Aubourg, E. et al. 2015, PRD, 9213516.Edit iconRemove icon
  17. 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
  18. The Phoenix Stream: a Cold Stream in the Southern Hemisphere. Balbinot, E. et al. 2015, ApJ, 820, 58.Edit iconRemove icon
  19. Broadband Distortion Modeling in Lyman-alpha Forest BAO Fitting. Blomquist, M. et al. 2015, JCAP, 11, 034.Edit iconRemove icon
  20. 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
  21. 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
  22. The Difference Imaging Pipeline for the Transient Search in the Dark Energy Survey. Kessler, R. et al. 2015, AJ, 150, 172.Edit iconRemove icon
  23. The Dark Energy Camera. Flaugher, B. et al. 2015, AJ, 150, 150.Edit iconRemove icon
  24. 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
  25. Automated Transient Identification in the Dark Energy Survey. Goldstein, D. A. et al. 2015, AJ, 150, 82.Edit iconRemove icon
  26. 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
  27. 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
  28. 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
  29. Stellar Kinematics and Metallicities in the Ultra-faint Dwarf Galaxy Reticulum II. Simon, J.D. et al. 2015, ApJ, 808, 95.Edit iconRemove icon
  30. Eight New Milky Way Companions Discovered in First-Year Dark Energy Survey Data. Bechtol, K. et al. 2015, ApJ, 807, 50.Edit iconRemove icon
  31. 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
  32. Modelling the Transfer Function for the Dark Energy Survey. C.Chang et al. 2015, ApJ, 801, 73.Edit iconRemove icon
  33. 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

2014

12
  1. Chemo-dynamics with the First Year of APOGEE Data. Anders, F. et al. 2014, A&A, 564, 115.Edit iconRemove icon
  2. The Sloan Digital Sky Survey Quasar Catalog: Tenth Data Release. Paris, I. et al. 2014, A&A, 536, 54.Edit iconRemove icon
  3. The Dark Energy Survey and operations: Year 1. Diehl, H. T. et al. 2014, SPIE, 9149, 91490V.Edit iconRemove icon
  4. The DECam DAQ System: lessons learned after one year of operations. Honscheid, K et al. 2014, SPIE, 9152, 91520G.Edit iconRemove icon
  5. Bayesian Distances and Extinctions for Giants Observed by Kepler and APOGEE. Rodrigues, T.S. et al. 2014, MNRAS, 445, 2758.Edit iconRemove icon
  6. Photometric Redshift Analysis in the Dark Energy Survey Science Verification Data. Sánchez, C. et al. 2014, MNRAS, 445, 1482.Edit iconRemove icon
  7. 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
  8. 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
  9. 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
  10. Accurate Atmospheric Parameters at Moderate Spectral Resolution: Preliminary Application to the MARVELS Survey. Ghezzi, L. et al. 2014, AJ, 148, 105.Edit iconRemove icon
  11. 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
  12. 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

2013

18
  1. PreCam, a Precursor Observational Campaign for Calibration of the Dark Energy Survey. Kuehn, K. et al. 2013, PASP, 125, 409.Edit iconRemove icon
  2. A Simple Prescription for Simulating and Characterizing Gravitational Arcs. Furlanetto, C. et al. 2013, A&A, 549, A80.Edit iconRemove icon
  3. 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
  4. Detecting Massive Galaxies at High Redshift Using the Dark Energy Survey. Davis, L.M.J. et al. 2013, MNRAS, 434, 296.Edit iconRemove icon
  5. 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
  6. The Soar Gravitational Arc Survey I: Survey Overview and Photometric Catalogs. Furlanetto, C. et al. 2013, MNRAS, 432, 73.Edit iconRemove icon
  7. 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
  8. 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
  9. Target Selection for the Apache Point Observatory Galactic Evolution Experiment (APOGEE). Zasowski, G. et al. 2013, AJ, 146, 81.Edit iconRemove icon
  10. 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
  11. 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
  12. 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
  13. 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
  14. The Baryon Oscillation Spectroscopic Survey of SDSS-III. Dawson, K.S. et al. 2013, AJ, 145, 10.Edit iconRemove icon
  15. 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
  16. 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
  17. 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
  18. A New Milky Way Satellite in the Southern Galactic Sky. Balbinot, E. et al. 2013, ApJ, 767, 101.Edit iconRemove icon

2012

10
  1. 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
  2. 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
  3. The XMM Cluster Survey: Optical analysis methodology and the first data release. Mehrtens, N. et al. 2012, MNRAS, 423, 1024.Edit iconRemove icon
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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

2011

13
  1. 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
  2. The Tidal Tails of NGC 2298. Balbinot, E. et al. 2011, MNRAS, 416, 393.Edit iconRemove icon
  3. Tracing the sound horizon scale with photometric redshift surveys. Sánchez, E. et al. 2011, MNRAS, 411, 277.Edit iconRemove icon
  4. Cosmological forecasts from photometric measurements of the angular correlation function. Sobreira, F. et al. 2011, PRD, 84, 103001.Edit iconRemove icon
  5. 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
  6. 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
  7. 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
  8. Evolution of Galaxy Luminosity Function Using Photometric Redshifts. Ramos, B. et al. 2011, AJ, 142, 41.Edit iconRemove icon
  9. The Dark Energy Survey: Prospects for Resolved Stellar Populations. Rossetto, B. et al. 2011, AJ, 141, 185.Edit iconRemove icon
  10. 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
  11. Abundances of Stars with Planets: Trends with Condensation Temperature. Schuler, S.C. et al. 2011, ApJ, 732, 55.Edit iconRemove icon
  12. 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
  13. 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

2010

03
  1. The DECam data acquisition and control system. Honscheid, K. et al. 2010, Proceedings of the SPIE, 7740, 53.Edit iconRemove icon
  2. Status of the dark energy survey camera (DECam) project. Flaugher, B.L. et al. 2010, Proceedings of the SPIE, 7735, 12.Edit iconRemove icon
  3. 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

2009

02
  1. The Dark Energy Survey Data Management System: The Coaddition Pipeline and PSF Homogenization. Darnell, T. et al. 2009, ASPC, 411, 18.Edit iconRemove icon
  2. The Dark Energy Survey Data-Management System: The Processing Framework. Gower, M. et al. 2009, PASP, 411, 14.Edit iconRemove icon

2008

01
  1. The Dark Energy Survey data management system. Mohr, J. et al. 2008, Proceedings of the SPIE, 7016, 70160L.Edit iconRemove icon