Publicações

Publicações com participação de afiliados ao LIneA (2008 – Presente) 548

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Submetidos 47

2021

The Physics of the Coronal Line Region for Galaxies in MaNGA. Negus, James et al. 2021, . arXiv
C/2014 UN271 (Bernardinelli-Bernstein): the nearly spherical cow of comets. Bernardinelli, Pedro H. et al. 2021, ApJL. arXiv
Finding quadruply imaged quasars with machine learning. I. Methods. Akhazhanov, A. et al. 2021, MNRAS. arXiv
Dark Energy Survey Year 3 results: Marginalisation over redshift distribution uncertainties using ranking of discrete realisations. Cordero, Juan P. et al. 2021, MNRAS. arXiv
A search of the full six years of the Dark Energy Survey for outer Solar System objects. Bernardinelli, Pedro H. et al. 2021, . arXiv
Multi-wavelength Optical and NIR Variability Analysis of the Blazar PKS 0027-426. Guise, E. et al. 2021, . arXiv
Cross-correlation of DES Y3 lensing and ACT/Planck thermal Sunyaev Zel\'dovich Effect II: Modeling and constraints on halo pressure profiles. Pandey, S. et al. 2021, . arXiv
Cross-correlation of DES Y3 lensing and ACT/Planck thermal Sunyaev Zel\'dovich Effect I: Measurements, systematics tests, and feedback model constraints. Gatti, M. et al. 2021, PhRevD. arXiv
Velocity Dispersions of Clusters in the Dark Energy Survey Y3 redMaPPer Catalog. Wetzell, V. et al. 2021, MNRAS. arXiv
Superclustering with the Atacama Cosmology Telescope and Dark Energy Survey: I. Evidence for thermal energy anisotropy using oriented stacking. Lokken, M. et al. 2021, ApJ. arXiv
Dark Energy Survey Year 3 Results: Galaxy Sample for BAO Measurement. Carnero Rosell, A. et al. 2021, . arXiv
Dark Energy Survey Year 3 Results: A 2.7% measurement of Baryon Acoustic Oscillation distance scale at redshift 0.835. Abbott, T. M. C. et al. 2021, PhRevD. arXiv
Dark Energy Survey Year 3 Results: Galaxy mock catalogs for BAO analysis. Ferrero, I. et al. 2021, A&A. arXiv
A fast and reliable method for the comparison of covariance matrices Tassia Ferreira, Valerio Marra 2021, Phys. Rev. D 103, 103535. arXiv
A fast and reliable method for the comparison of covariance matrices. Ferreira, T. et al. 2021, . arXiv
The Observed Evolution of the Stellar Mass - Halo Mass Relation for Brightest Central Galaxies. Golden-Marx, Jesse B. et al. 2021, ApJ. arXiv
Dark Energy Survey Year 3 results: Galaxy-halo connection from galaxy-galaxy lensing. Zacharegkas, G. et al. 2021, MNRAS. arXiv
Dark Energy Survey Year 3 Results: Cosmological Constraints from Galaxy Clustering and Weak Lensing. Abbott, T. M. C. et al. 2021, . arXiv
Dark Energy Survey Year 3 Results: Multi-Probe Modeling Strategy and Validation Krause, E. et al. 2021, . arXiv
Dark Energy Survey Year 3 results: Cosmological constraints from galaxy clustering and galaxy-galaxy lensing using the MagLim lens sample. Porredon, A. et al. 2021, PhRevD. arXiv
Dark Energy Survey Year 3 Results: Constraints on cosmological parameters and galaxy bias models from galaxy clustering and galaxy-galaxy lensing using the redMaGiC sample. Pandey, S. et al. 2021, . arXiv
Dark Energy Survey Year 3 Results: Cosmology from Cosmic Shear and Robustness to Modeling Uncertainty. Secco, L. F. et al. 2021, . arXiv
Dark Energy Survey Year 3 Results: Cosmology from Cosmic Shear and Robustness to Data Calibration. Amon, A. et al. 2021, . arXiv
Dark Energy Survey Year 3 Results: Exploiting small-scale information with lensing shear ratios. Sánchez, C. et al. 2021, . arXiv
Dark Energy Survey Year 3 Results: High-precision measurement and modeling of galaxy-galaxy lensing. Prat, J. et al. 2021, PhRevD. arXiv
Dark Energy Survey Year 3 Results: Galaxy clustering and systematics treatment for lens galaxy samples. Rodríguez-Monroy, M. et al. 2021, MNRAS. arXiv
Probing gravity with the DES-CMASS sample and BOSS spectroscopy. Lee, S. et al. 2021, MNRAS. arXiv
Galaxy-galaxy lensing with the DES-CMASS catalogue: measurement and constraints on the galaxy-matter cross-correlation. Lee, S. et al. 2021, MNRAS. arXiv
Synthetic Galaxy Clusters and Observations Based on Dark Energy Survey Year 3 Data. Varga, T. N et al. 2021, MNRAS. arXiv
DSS-IV MaNGA: the physical origin of off-galaxy H? blobs in the local Universe. Ji, Xihan et al. 2021, MNRAS. arXiv
OzDES Reverberation Mapping Program: Lag recovery reliability for 6-year CIV analysis. Penton, A. et al. 2021, MNRAS. arXiv
Data compression and covariance matrix inspection: Cosmic shear Tassia Ferreira, Tianqing Zhang, Nianyi Chen, Scott Dodelson 2021, Phys. Rev. D 103, 103535. arXiv
Dark Energy Survey Year 3 results: cosmology from combined galaxy clustering and lensing -- validation on cosmological simulations. DeRose, J. et al. 2021, . arXiv

2020

Dark Energy Survey Year 3 Results: Calibration of Lens Sample Redshift Distributions using Clustering Redshifts with BOSS/eBOSS. Cawthon, R. et al. 2020, MNRAS. arXiv
Dark Energy Survey Year 3 Results: Measuring the Survey Transfer Function with Balrog. Everett, S. et al. 2020, ApJSS. arXiv
Dark Energy Survey Year 3 Results: Deep Field Optical + Near-Infrared Images and Catalogue. Hartley, W. G. et al. 2020, MNRAS. arXiv
Dark Energy Survey Year 3 Results: Clustering Redshifts -- Calibration of the Weak Lensing Source Redshift Distributions with redMaGiC and BOSS/eBOSS. Gatti, M. et al. 2020, MNRAS. arXiv
Identifying RR Lyrae Variable Stars in Six Years of the Dark Energy Survey. Stringer, K. M. et al. 2020, . arXiv
Probing galaxy evolution in massive clusters using ACT and DES: splashback as a cosmic clock. Adhikari, Susmita et al. 2020, ApJ. arXiv
The Milky Way\'s bar and bulge revealed by APOGEE DR16 and Gaia DR2. Queiroz, A.B.A. et al. 2020, A&A. arXiv

2019

Probing the Fundamental Nature of Dark Matter with the Large Synoptic Survey Telescope. Drlica-Wagner, A. et al. 2019, LSST White Paper. arXiv
The Buzzard Flock: Dark Energy Survey Synthetic Sky Catalogs. DeRose, J. et al. 2019, . arXiv

2018

First Cosmology Results Using Type Ia Supernovae From the Dark Energy Survey: Survey Overview and Supernova Spectroscopy. D´Andrea, C.B. et al. 2018, AJ. arXiv

2017

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
Dark Energy Survey Year 1 Results: Multi-Probe Methodology and Simulated Likelihood Analyses. Krause, E. et al. 2017, . arXiv

2016

The DESI Experiment Part II: Instrument Design. Aghamousa, A. et al. 2016, . arXiv
The DESI Experiment Part I: Science,Targeting, and Survey Design. Aghamousa, A. et al. 2016, . arXiv

Aceitos 04

2021

Radio Morphology of Red Geysers. Roy, Namrata et al. 2021, ApJ. arXiv
Signatures of inflowing gas in red geyser galaxies hosting radio-AGN. Roy, Namrata et al. 2021, ApJ. arXiv
The mass and galaxy distribution around SZ-selected clusters. Shin, T. et al. 2021, MNRAS. arXiv
Dark Energy Survey Year 3 Results: Covariance Modelling and its Impact on Parameter Estimation and Quality of Fit. Friedrich, O. et al. 2021, MNRAS. arXiv

Publicados 497

2021

CAPOS: The bulge Cluster APOgee Survey II. The intriguing “Sequoia” globular cluster FSR 1758. Romero-Colmenares, María et al. 2021, A&A, 652, A158.
CAPOS: The bulge Cluster APOgee Survey I. Overview and initial ASPCAP results. Geisler, D. et al. 2021, A&A, 652, A157.
APOGEE spectroscopic evidence for chemical anomalies in dwarf galaxies: The case of M 54 and Sagittarius. Fernández-Trincado, José G. et al. 2021, A&A, 648, A70.
APOGEE discovery of a chemically atypical star disrupted from NGC 6723 and captured by the Milky Way bulge. Fernández-Trincado, J. et al. 2021, A&A, 647, A64.
Dark Energy Survey Year 1 Results: Cosmological Constraints from Cluster Abundances, Weak Lensing, and Galaxy Correlations To, C. et al. 2021, PhRevL, 126, 141301.
Milky Way Satellite Census. III. Constraints on Dark Matter Properties from Observations of Milky Way Satellite Galaxies. Nadler, E.O. et al. 2021, PhRevL, 126, 091101.
Constraints on dark matter to dark radiation conversion in the late universe with DES-Y1 and external data. Chen, A. et al. 2021, PhRevD, 103, 123528.
Cosmological Constraints from DES Y1 Cluster Abundances and SPT Multi-wavelength data. Costanzi, M. et al. 2021, PhRevD, 103, 043522.
Dark Energy Survey Year 3 Results: Optimizing the Lens Sample in Combined Galaxy Clustering and Galaxy-Galaxy Lensing Analysis. Porredon, A. et al. 2021, PhRevD, 103, 04350.
DES Y1 results: Splitting growth and geometry to test ? CDM. Muir, J. et al. 2021, PhRevD, 103, 023528.
No Evidence for Orbital Clustering in the Extreme Trans-Neptunian Objects. Napier, K. J., et al. 2021, PSJ, 2, 59.
APOGEE-2 Discovery of a Large Population of Relatively High-Metallicity Globular Cluster Debris. Fernández-Trincado, J. et al. 2021, ApJL, 918, L37.
APOGEE-2S Discovery of Light- and Heavy-element Abundance Correlations in the Bulge Globular Cluster NGC 6380. Fernández-Trincado, José G. et al. 2021, ApJL, 918, 9.
Abundance Patterns of ? and Neutron-capture Elements in the Helmi Stream Limberg, G, et al. 2021, ApJL, 913, L28.
VVV CL001: Likely the Most Metal-poor Surviving Globular Cluster in the Inner Galaxy. Fernández-Trincado, J. et al. 2021, ApJL, 908, 42.
Discovery of a Large Population of Nitrogen-enhanced Stars in the Magellanic Clouds. Fernández-Trincado, J. et al. 2021, ApJL, 903, 17.
The Dark Energy Survey Data Release 2. Abbott, T. M. C. et al. 2021, ApJSS, 255, 20.
Dark Energy Survey Year 3 Results: Photometric Data Set for Cosmology. Sevilla-Noarbe, I. et al. 2021, ApJSS, 254, 24.
The Atacama Cosmology Telescope: A Catalog of > 4000 Sunyaev-Zel\\\'dovich Galaxy Clusters. Hilton, M. et al. 2021, ApJSS, 253, 3.
Shadows in the Dark: Low-Surface-Brightness Galaxies Discovered in the Dark Energy Survey. Tanoglidis, D. et al. 2021, AJ, 252, 18.
Estimating dust attenuation from galactic spectra. II. Stellar and gas attenuation in star-forming and diffuse ionized gas regions in MaNGA. Li, Niu et al. 2021, ApJ, 917, 72.
A Deeper Look at DES Dwarf Galaxy Candidates: Grus I and Indus II. Cantu, Sarah A. et al. 2021, ApJ, 916, 2.
Evidence of Wind Signatures in the Gas Velocity Profiles of Red Geysers. Roy, Namrata et al. 2021, ApJ, 913, 33.
SDSS-IV MaNGA: A Star Formation–Baryonic Mass Relation at Kiloparsec Scales. Barrera-Ballesteros, J. K. et al. 2021, AJ, 909, 131.
Evidence for the Accretion of Gas in Star-Forming Galaxies: High N/O Abundances in Regions of Anomalously-Low Metallicity. Luo, Y. et al. 2021, ApJ, 908, 183.
Reducing ground-based astrometric errors with Gaia and Gaussian processes. Fortino, W. F. et al. 2021, AJ, 162, 106.
Machine Learning for Searching the Dark Energy Survey for Trans-Neptunian Objects. Henghes, B. et al. 2021, PASP, 133, 4501.
HI-MaNGA: tracing the physics of the neutral and ionized ISM with the second data release. Stark, D. V. et al. 2021, MNRAS, 503, 1345.
Dark Energy Survey internal consistency tests of the joint cosmological probes analysis with posterior predictive distributions. Doux, C. et al. 2021, MNRAS, 503, 2688.
The WaZP galaxy cluster sample of the Dark Energy Survey Year 1. Aguena, M. et al. 2021, MNRAS, 502, 4435.
A machine learning approach to galaxy properties: Joint redshift - stellar mass probability distributions with Random Forest. Mucesh, S. et al. 2021, MNRAS, 502, 2770.
The Effect of Environment on Type Ia Supernovae in the Dark Energy Survey Three-Year Cosmological Sample. Kelsey, L. et al. 2021, MNRAS, 501, 4861.
Determining star-formation rates in Active Galactic Nuclei hosts via stellar population synthesis. Riffel, R. et al. 2021, MNRAS, 501, 4064.
The Formation of the Cold Classical Kuiper Belt by a Short Range Transport Mechanism. Gomes, R. 2021, Icar, 357, 114121.
Galaxy morphological classification catalogue of the Dark Energy Survey Year 3 data with convolutional neural networks. Cheng, Ting-Yun et al. 2021, MNRAS, 507, 4425.
Mitigating baryonic effects with a theoretical error covariance. Moreira, M.G., et al. 2021, MNRAS, 507, 5592.
OzDES Reverberation Mapping Program: The first Mg II lags from five years of monitoring. Yu, Zhefu, et al. 2021, MNRAS, 507, 3771.
The puzzling origin of massive compact galaxies in MaNGA. Schnorr-Müller, A. et al. 2021, MNRAS, 507, 300.
Rates and delay times of type Ia supernovae in the Dark Energy Survey. Wiseman, P. et al. 2021, MNRAS, 506, 3330.
Pushing automated morphological classifications to their limits with the Dark Energy Survey. Vega-Ferrero, J. et al. 2021, MNRAS, 506, 1927.
Galaxy Clustering in Harmonic Space from the Dark Energy Survey Year 1 Data: Compatibility with Real-Space Results. Andrade-Oliveira, F., et al. 2021, MNRAS, 505, 5714.
Dark Energy Survey Year 3 results: curved-sky weak lensing mass map reconstruction. Jeffrey, N. et al. 2021, MNRAS, 505, 4626.
Dark Energy Survey Year 3 Results: Redshift Calibration of the Weak Lensing Source Galaxies. Myles, J. et al. 2021, MNRAS, 505, 4249.
Understanding the extreme luminosity of DES14X2fna. Grayling, M., et al. 2021, MNRAS, 505, 3950.
Dark Energy Survey Year 3 Results: Weak Lensing Shape Catalogue. Gatti, M. et al. 2021, MNRAS, 504, 4312.
Exploring the contamination of the DES-Y1 Cluster Sample with SPT-SZ selected clusters. Grandis, S. et al. 2021, MNRAS, 504, 1253.
Consistency of cosmic shear analyses in harmonic and real space. Doux, C. et al. 2021, MNRAS, 503, 3796.
Dark Energy Survey Year 1 Results: Constraining Baryonic Physics in the Universe. Huang, Hung-Jin et al. 2021, MNRAS, 502, 6010.
Is diffuse intracluster light a good tracer of the galaxy cluster matter distribution? Sampaio-Santos, H. et al 2021, MNRAS, 501, 1300.
Dark Energy Survey Year 3 Results: Point-Spread Function Modeling. Jarvis, M. et al. 2021, MNRAS, 501, 1282.
Discovery of a Candidate Binary Supermassive Black Hole in a Periodic Quasar from Circumbinary Accretion Variability. Liao, Wei-Ting et al. 2021, MNRAS, 500, 4025.
Dark Energy Survey Year 1 Results: the lensing imprint of cosmic voids on the Cosmic Microwave Background. Vielzeuf, P. et al. 2021, MNRAS, 500, 464.

2020

Optical follow-up of gravitational wave triggers with DECam during the first two LIGO/VIRGO observing runs. Herner, K. et al. 2020, Astronomy & Computing, 33, 100425.
Chapter 19 - Stellar occultations by Trans-Neptunian objects: From predictions to observations and prospects for the future. Ortiz, J. L. et al. 2020, TNSS, , 413.
Dynamical effects on the classical Kuiper belt during the excited-Neptune model. Sousa, R. R. et al. 2020, Icar, 334, 89.
The size, shape, density and ring of the dwarf planet Haumea from a stellar occultation. Ortiz, J. L. et al. 2020, Nature, 550, 219.
FRIPON: a worldwide network to track incoming meteoroids. Colas, F. et al. 2020, A&A, 644, A53.
Aluminium-enriched metal-poor stars buried in the inner Galaxy. Fernández-Trincado, J. et al. 2020, A&A, 643, L4.
A multi-chord stellar occultation by the large trans-Neptunian object (174567) Varda. Souami, D. et al. 2020, A&A, 643, A125.
Cool stars in the Galactic center as seen by APOGEE M giants, AGB stars, and supergiant stars and candidates. Schultheis, M. et al. 2020, A&A, 642, 81.
Stellar occultations enable milliarcsecond astrometry for Trans-Neptunian objects and Centaurs. Rommel, F. L. et al. 2020, A&A, 644, A40.
The enigmatic globular cluster UKS 1 obscured by the bulge: H-band discovery of nitrogen-enhanced stars. Fernández-Trincado, J. et al. 2020, A&A, 643, A145.
The large trans-Neptunian object 2002 TC302 from combined stellar occultation, photometry, and astrometry data. Ortiz, J. L. et al. 2020, A&A, 639, A134.
From the bulge to the outer disc: StarHorse stellar parameters, distances, and extinctions for stars in APOGEE DR16 and other spectroscopic surveys. Queiroz, A.B.A. et al. 2020, A&A, 638, A76.
SDSS IV MaNGA: Metallicity and ionisation parameter in local star-forming galaxies from Bayesian fitting to photoionisation models. Mingozzi, M. et al. 2020, A&A, 636, 42.
Detection of cross-correlation between gravitational lensing and gamma rays. Ammazzalorso, S. et al. 2020, PhRevL, 124, 101102.
Perturbation theory for modeling galaxy bias: validation with simulations of the Dark Energy Survey. Pandey, S. et al. 2020, PhRevD, 102, 123522.
Dark Energy Survey Year 1 Results: Cosmological Constraints from Cluster Abundances and Weak Lensing. Abbott, T. et al. 2020, PhRevD, 102, 023509.
Monte Carlo Control Loops for cosmic shear cosmology with DES Year 1. Kacprzak, T. et al 2020, PhRevD, 101, 082003.
The Diffuse Light Envelope of Luminous Red Galaxies. Leung, Y. et al. 2020, RNAAS, 4, 10.
SDSS-IV MaNGA: A Dwarf E+A Galaxy Quenched by AGN Feedback. Marinelli, M. et al. 2020, RNAAS, 4, 110.
A Statistical Standard Siren Measurement of the Hubble Constant from the LIGO/Virgo Gravitational Wave Compact Object Merger GW190814 and Dark Energy Survey Galaxies. Palmese, A. et al. 2020, ApJ, 900, 33.
The Curious Case of PHL 293B: A Long-Lived Transient in a Metal-Poor Blue Compact Dwarf Galaxy. Burke, C.J. et al. 2020, ApJL, 894, 5.
Supernova Siblings: Assessing the Consistency of Properties of Type Ia Supernovae that Share the Same Parent Galaxies. Scolnic, D. et al. 2020, ApJL, 896, 13.
SDSS-IV MaNGA: Kinematic Asymmetry as an Indicator of Galaxy Interaction in Paired Galaxies. Feng, S. et al. 2020, ApJL, 892, 20.
The Sixteenth Data Release of the Sloan Digital Sky Surveys: First Release from the APOGEE-2 Southern Survey and Full Release of eBOSS Spectra. Ahumada, R. et al. 2020, ApJSS, 249, 3.
Trans-Neptunian objects found in the first four years of the Dark Energy Survey. Bernardinelli, P.H. et al. 2020, ApJSS, 247, 32.
The SPTpol Extended Cluster Survey. Bleem, L. E., et al. 2020, ApJSS, 247, 25.
Quasar Accretion Disk Sizes from Continuum Reverberation Mapping in the DES Standard Star Fields. Yu, Z. et al. 2020, ApJ, 246, 16.
A DESGW Search for the Electromagnetic Counterpart to the LIGO/Virgo Gravitational-wave Binary Neutron Star Merger Candidate S190510g. Garcia, A. et al. 2020, ApJ, 903, 75.
A Catalog of 406 AGNs in MaNGA: A Connection between Radio-mode AGNs and Star Formation Quenching. Comerford, J. M. et al. 2020, ApJ, 901, 159.
Constraints on the Physical Properties of GW190814 through Simulations Based on DECam Follow-up Observations by the Dark Energy Survey. Morgan, S. et al. 2020, ApJ, 901, 93.
Constraints on the Physical Properties of GW190814 through Simulations Based on DECam Follow-up Observations by the Dark Energy Survey. Morgan, R. et al. 2020, ApJ, 901, 93.
Dust Reverberation Mapping in Distant Quasars from Optical and Mid-infrared Imaging Surveys. Yang, Qian et al. 2020, ApJ, 900, 58.
Chemical Analysis of the Ultra-Faint Dwarf Galaxy Grus~II. Signature of high-mass stellar nucleosynthesis. Hansen, T.T. et al 2020, ApJ, 197, 183.
Milky Way Satellite Census -- II. Galaxy-Halo Connection Constraints Including the Impact of the Large Magellanic Cloud. Nadler, E.O. et al. 2020, ApJ, 893, 48.
Finding Strong Gravitational Lenses in the DESI DECam Legacy Survey. Huang, X. et al. 2020, ApJ, 894, 78.
Milky Way Satellite Census -- I. The Observational Selection Function for Milky Way Satellites in DES Y3 and Pan-STARRS DR1. Drlica-Wagner, A. et al. 2020, ApJ, 893, 47.
Birds of a Feather? Magellan/IMACS Spectroscopy of the Ultra-Faint Satellites Grus II, Tucana IV, and Tucana V. Simon, J.D. et al. 2020, ApJ, 892, 137.
First Cosmology Results using Supernovae Ia from the Dark Energy Survey: Survey Overview, Performance, and Supernova Spectroscopy. Smith, M. et al. 2020, AJ, 160, 267.
Dynamical Classification of Trans-Neptunian Objects Detected by the Dark Energy Survey. Khain, T. et al. 2020, AJ, 159, 133.
STRIDES: A 3.9 per cent measurement of the Hubble constant from the strong lens system DES J0408-5354. Shajib, A.J., et al. 2020, MNRAS, 494, 6072.
Spectral Variability of a Sample of Extreme Variability Quasars and Implications for the MgII Broad-line Region. Yang, Q. et al. 2020, MNRAS, 493, 5787.
Dark Energy Survey Year 1 Results: Wide field mass maps via forward fitting in harmonic space. Mawdsley, B. et al. 2020, MNRAS, 493, 5662.
Stellar mass as a galaxy cluster mass proxy: application to the Dark Energy Survey redMaPPer clusters. Palmese, A. et al. 2020, MNRAS, 493, 4591.
The 2017 May 20 stellar occultation by the elongated centaur (95626) 2002 GZ32 . Santos-Sanz, P. et al. 2020, MNRAS, 501, 6062.
The impact of merging on the origin of kinematically misaligned and counter-rotating galaxies in MaNGA. Li, Song-lin et al. 2020, MNRAS, 501, 14.
Increasing the census of L and T dwarfs in wide binary and multiple systems using Dark Energy Survey DR1 and Gaia DR2 data. dal Ponte, M. et al. 2020, MNRAS, 499, 5302.
Candidate periodically variable quasars from the Dark Energy Survey and the Sloan Digital Sky Survey. Chen, Yu-Ching et al. 2020, MNRAS, 499, 2245.
How many components? Quantifying the complexity of the metallicity distribution in the Milky Way bulge with APOGEE. Rojas-Arriagada, A. et al. 2020, MNRAS, 499, 1037.
Mu Masses: Weak Lensing Calibration of the Dark Energy Survey Year 1 redMaPPer Clusters using Stellar Masses. Pereira, M.E.S. et al. 2020, MNRAS, 498, 5450.
Dark Energy Survey Year 3 results: cosmology with moments of weak lensing mass maps -- validation on simulations. Gatti, M. et al. 2020, MNRAS, 498, 4060.
Host galaxy properties of changing-look AGNs revealed in the MaNGA survey. Yu, Xiaoling et al. 2020, MNRAS, 498, 3985.
STRIDES: Spectroscopic and photometric characterization of the environment and effects of mass along the line of sight to the gravitational lenses DES J0408-5354 and WGD 2038-4008. Buckley-Geer, E. J. et al. 2020, MNRAS, 498, 3241.
The Host Galaxies of 106 Rapidly Evolving Transients in the Dark Energy Survey. Wiseman, P. et al. 2020, MNRAS, 498, 2575.
Validation of Selection Function, Sample Contamination and Mass Calibration in Galaxy Cluster Samples. Grandis, S. et al. 2020, MNRAS, 498, 771.
Noise from Undetected Sources in Dark Energy Survey Images. Eckert, K. et al. 2020, MNRAS, 497, 2529.
Modelling the Milky Way. I - Method and first results fitting the thick disk and halo with DES-Y3 data. Pieres, A. et al. 2020, MNRAS, 497, 1547.
The impact of spectroscopic incompleteness in direct calibration of redshift distributions for weak lensing surveys. Hartley, W. G. et al. 2020, MNRAS, 496, 4769.
Weak Lensing of Type Ia Supernovae from the Dark Energy Survey. Macaulay, E. et al. 2020, MNRAS, 496, 4051.
Dark Energy Survey Identification of A Low-Mass ActiveGalactic Nucleus at Redshift 0.823 from Optical Variability. Guo, H. et al. 2020, MNRAS, 496, 3636.
Upper boundaries of active galactic nucleus regions in optical diagnostic diagrams. Ji, X. et al. 2020, MNRAS, 496, 1262.
DES16C3cje: A low-luminosity, long-lived supernova. Gutiérrez, C.P. et al. 2020, MNRAS, 496, 95.
OzDES multi-object fibre spectroscopy for the Dark Energy Survey: results and second data release. Lidman, C. et al. 2020, MNRAS, 496, 19.
Studying Type II supernovae as cosmological standard candles using the Dark Energy Survey. de Jaeger, T. et al. 2020, MNRAS, 495, 4860.
Dynamical orbital classification of selected N-rich stars with Gaia Data Release 2 astrometry. Fernández-Trincado, J. et al. 2020, MNRAS, 495, 4113.
Supernova Host Galaxies in the Dark Energy Survey: I. Deep Coadds, Photometry, and Stellar Masses. Wiseman, P. et al. 2020, MNRAS, 495, 4040.
SDSS-IV MaNGA: Excavating the fossil record of stellar populations in spiral galaxies. Peterken, T. et al. 2020, MNRAS, 495, 3387.
A joint SZ-Xray-optical analysis of the dynamical state of 288 massive galaxy clusters. Zenteno, A. et al. 2020, MNRAS, 495, 705.
The Mystery of Photometric Twins DES17X1boj and DES16E2bjy. Pursiainen, M., et al. 2020, MNRAS, 494, 5576.
Blinding multi-probe cosmological experiments. Muir, J. et al. 2020, MNRAS, 494, 4454.
First Cosmology Results using Type Ia Supernovae from the Dark Energy Survey: The Effect of Host Galaxy Properties on Supernova Luminosity. Smith, M. et al. 2020, MNRAS, 494, 4426.
The STRong lensing Insights into the Dark Energy Survey (STRIDES) 2017/2018 follow-up campaign: Discovery of 10 lensed quasars and 10 quasar pairs. Lemon, C. et al. 2020, MNRAS, 494, 3491.
Constraining Radio Mode Feedback in Galaxy Clusters with the Cluster Radio AGN Properties to z~1. Gupta, N. et al. 2020, MNRAS, 494, 1705.
Observation and Confirmation of Nine Strong Lensing Systems in Dark Energy Survey Year 1 Data. Nord, B. et al. 2020, MNRAS, 494, 1308.
Ionized gas outflow signatures in SDSS-IV MaNGA active galactic nuclei. Wylezalek, D. et al. 2020, MNRAS, 492, 4680.
The first observed stellar occultations by the irregular satellite Phoebe (Saturn IX) and improved rotational period. Gomes-Júnior, A. R. et al. 2020, MNRAS, 492, 770.

2019

The 2014–2015 Brazilian mutual phenomena campaign for the Jovian satellites and improved results for the 2009 events. Morgado, B. et al. 2019, P&SS, 179, 104736.
Dynamical evidence for an early giant planet instability. Ribeiro, R. S. et al. 2019, Icar, 339, 113605.
Evidence for Color Dichotomy in the Primordial Neptunian Trojan Population. Lin, H.W. et al. 2019, Icarus, 321, 426.
Discovery of a nitrogen-enhanced mildly metal-poor binary system: Possible evidence for pollution from an extinct AGB star. Fernández-Trincado, J. et al. 2019, A&A, 631, A97.
Pluto’s ephemeris from ground-based stellar occultations (1988–2016). Desmars, J. et al. 2019, A&A, 625, A43.
Lower atmosphere and pressure evolution on Pluto from ground-based stellar occultations, 1988–2016. Meza, E. et al. 2019, A&A, 625, A42.
On the nature of a shell of young stars in the outskirts of the Small Magellanic Cloud. Martinez-Delgado, D. et al. 2019, A&A, 631, 98.
Photo-astrometric distances, extinctions, and astrophysical parameters for Gaia DR2 stars brighter than G = 18. Anders, F. et al. 2019, A&A, 628, 94.
First stellar occultation by the Galilean. moon Europa and upcoming events between 2019 and 2021 Morgado, B. et al. 2019, A&A, 626, L4.
Constraints on the redshift evolution of astrophysical feedback with Sunyaev-Zeldovich effect cross-correlations. Pandey, S. et al. 2019, PhRevL, 100.063519 .
Dark Energy Survey Year 1 Results: Constraints on Extended Cosmological Models from Galaxy Clustering and Weak Lensing. Abbott, T.M.C. et al. 2019, PhRvD, 2019, 123505.
Dark Energy Survey Year 1 results: The relationship between mass and light around cosmic voids. Fang, Y . et al. 2019, MNRAS, 490, 3573.
Dark Energy Survey Year 1 Results: Measurement of the Galaxy Angular Power Spectrum. Camacho, H. et al. 2019, MNRAS, 487, 3870.
Measurement of the Splashback Feature Around SZ-selected Galaxy Clusters with DES, SPT and ACT. Shin, T. et al. 2019, MNRAS, 487, 2900.
On the Relative Bias of Void Tracers in the Dark Energy Survey. Pollina, G. et al. 2019, MNRAS, 487, 2836.
Dark Energy Survey Year 1 Results: Calibration of Cluster Mis-centering in the redMaPPer Catalogs. Zhang, Y. et al. 2019, MNRAS, 487, 2578.
Superluminous Supernovae from the Dark Energy Survey. Angus, C.R. et al. 2019, MNRAS, 487, 2215.
Three new VHS-DES Quasars at 6.7 < z < 6.9 and Emission Line Properties at z > 6.5. Reed, S.L. et al. 2019, MNRAS, 487, 1874.
Cosmological Lensing Ratios with DES Y1, SPT and Planck. Prat, J. et al. 2019, MNRAS, 487, 1363.
Identification of RR Lyrae stars in multiband, sparsely-sampled data from the Dark Energy Survey using template fitting and Random Forest classification. Stringer, K.M. et al. 2019, AJ, 148, 16.
A Detection of CMB-Cluster Lensing using Polarization Data from SPTpol. Raghunathan, S. et al. 2019, PhRevL, 183.181301.
Cosmological Constraints from Multiple Probes in the Dark Energy Survey. T. M. C. Abbott et al. 2019, PhRevL, 122, 171301 .
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. 2019, PhRvD, 99, 023508.
Dark Energy Survey Year 1 Results: Cross-correlation Between DES Y1 Galaxy Weak Lensing and SPT+Planck CMB Weak Lensing. Omori, Y. et al. 2019, PhRvD, 100, 043517.
Dark Energy Survey Year 1 Results: Tomographic Cross-correlations Between DES Galaxies and CMB Lensing from SPT+Planck. Omori, Y. et al. 2019, PhRvD, 100, 043501.
Dark Energy Survey Year 1 Results: Joint Analysis of Galaxy Clustering, Galaxy Lensing, and CMB Lensing Two-point Functions. Abbott, T.C. et al. 2019, PhRevD, 100, 023541.
Discovery of a New Stellar Subpopulation Residing in the (Inner) Stellar Halo of the Milky Way. Fernández-Trincado, J. et al. 2019, ApJL, 886, L8.
Rediscovery of the Sixth Star Cluster in the Fornax Dwarf Spheroidal Galaxy. Wang, Mei-Yu et al. 2019, ApJL, 875, 13.
First measurement of the Hubble constant from a dark standard siren using the Dark Energy Survey galaxies and the LIGO/Virgo binary-black-hole merger GW170814. Soares-Santos, M. et al. 2019, ApJL, 876, L7.
A Search for Optical Emission from Binary-Black-Hole Merger GW170814 with the Dark Energy Camera. Doctor, Z. et al. 2019, ApJ, 873, 24.
First Cosmology Results using Type Ia Supernovae from the Dark Energy Survey: Constraints on Cosmological Parameters. Abbott, T.M.C et al. 2019, ApJL, 872, 30.
An extended catalog of galaxy-galaxy strong gravitational lenses discovered in DES using convolutional neural networks. Jacobs, C. et al. 2019, ApJSS, 243, 17.
The Fifteenth Data Release of the Sloan Digital Sky Surveys: First Release of MaNGA Derived Quantities, Data Visualization Tools and Stellar Library. Aguado, D.S. et al. 2019, ApJSS, 240, 23.
Chemical Abundance Analysis of Tucana III, the Second r-process Enhanced Ultra-Faint Dwarf Galaxy. Marshall, J. et al. 2019, ApJ, 882, 177.
SDSS IV MaNGA -- Star-Formation Driven Biconical Outflows in the Local Universe. Bizyaev, D. et al. 2019, ApJ, 882, 145.
The Morphology and Structure of Stellar Populations in the Fornax Dwarf Spheroidal Galaxy from Dark Energy Survey Data. Mei-Yu Wang et al. 2019, ApJ, 881, 2.
SDSS-IV MaNGA: Spatial Evolution of Star Formation Triggered by Galaxy Interactions. Pan, H. et al. 2019, ApJ, 881, 119.
Steve: A hierarchical Bayesian model for Supernova Cosmology. Hinton, S.R. et al. 2019, ApJ, 876, 15.
Dark Energy Survey Year 1 results: Detection of Intracluster Light at Redshift ~ 0.25. Zhang, Y. et al. 2019, ApJ, 874, 165.
First Cosmology Results Using Type Ia Supernovae From the Dark Energy Survey: Analysis, Systematic Uncertainties, and Validation. Brout, D. et al. 2019, ApJ, 874, 150.
First Cosmology Results Using Type Ia Supernovae From the Dark Energy Survey: Photometric Pipeline and Light Curve Data Release. Brout, D. et al. 2019, ApJ, 874, 106.
Mass Calibration of Optically Selected DES clusters using a Measurement of CMB-Cluster Lensing with SPTpol Data. Raghunathan, S. et al. 2019, ApJ, 872, 170.
SDSS-IV MaNGA: Inside-out vs. Outside-in Quenching in Different Local Environments. Lin, L. et al. 2019, ApJ, 872, 50.
The Trans-Neptunian Object (84922) 2003 VS2 through Stellar Occultations. Benedetti-Rossi, G. et al. 2019, AJ, 158, 159.
Astrometry and Occultation Predictions to Trans-Neptunian and Centaur Objects Observed Within the Dark Energy Survey. Banda-Huarca, M. et al. 2019, AJ, 157, 120.
Time-slicing spiral galaxies with SDSS-IV MaNGA. Peterken, T. et al. 2019, MNRAS, 489, 1338.
What drives the velocity dispersion of ionized gas in star-forming galaxies? Yu, X. et al. 2019, MNRAS, 486, 4463.
The first 62 AGN observed with SDSS-IV MaNGA - IV: gas excitation and star-formation rate distributions. do Nascimento, J. et al. 2019, MNRAS, 486, 5075.
Withdrawn as Duplicate: Survey geometry and the internal consistency of recent cosmic shear measurements. Troxel, M.A. et al. 2019, MNRAS, 486, L8.
SDSS-IV MaNGA: Stellar Population Gradients Within Barred Galaxies. Fraser-McKelvie, A. et al. 2019, MNRAS, 488, L6.
The Dark Energy Survey Supernova Program: Modelling selection efficiency and observed core collapse supernova contamination. Vincenzi, M. et al. 2019, MNRAS, 505, 2819.
H0LiCOW X: Spectroscopic/imaging survey and galaxy-group identification around the strong gravitational lens system WFI2033-4723. Sluse, D. et al. 2019, MNRAS, 490, 613.
Post-Starburst Galaxies in SDSS-IV MaNGA. Chen, Y. et al. 2019, MNRAS, 489, 5709.
Dark Energy Survey Year 1 Results: Constraints on Intrinsic Alignments and their Colour Dependence from Galaxy Clustering and Weak Lensing. Samuroff, S. et al. 2019, MNRAS, 489, 5453.
Brown dwarf census with the Dark Energy Survey year 3 data and the thin disk scale height of early L types. Carnero Rosell, A. et al. 2019, MNRAS, 489, 5301.
Time-slicing spiral galaxies with SDSS-IV MaNGA. Peterken, T. et al. 2019, MNRAS, 489, 1338.
Methods for cluster cosmology and application to the SDSS in preparation for DES Year 1 release. Costanzi, M. et al. 2019, MNRAS, 488, 4779.
Chemodynamics of newly identified giants with a globular cluster like abundance patterns in the bulge, disc, and halo of the Milky Way . Fernández-Trincado, J. et al. 2019, MNRAS, 488, 2864.
CIV Black Hole Mass Measurements with the Australian Dark Energy Survey (OzDES). Hoormann, J.K. 2019, MNRAS, 487, 3650.
The metal-rich halo component extended in z: a characterization with Gaia DR2 and APOGEE. Fernández-Alvar, E. et al. 2019, MNRAS, 487, 1462.
Knowledge Transfer of Deep Learning for Galaxy Morphology from one Survey to Another. Domínguez Sánchez, H. et al. 2019, MNRAS, 484, 93.
The First 62 AGN Observed with SDSS-IV MaNGA - III: Stellar and Gas Kinematics. Ilha, G.S. et al. 2019, MNRAS, 484, 252.
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. 2019, MNRAS, 483, 5649.
Measuring Linear and Non-linear Galaxy Bias Using Counts-in-Cells in the Dark Energy Survey Science Verification Data. Salvador, A.I. et al. 2019, MNRAS, 482, 1435.
Mildly Suppressed Star Formation in Central Regions of MaNGA Seyfert Galaxies. Bing, L. et al. 2019, MNRAS, 482, 194.
Mutual approximations between the five main moons of Uranus. Santos-Filho, S. et al. 2019, MNRAS, 490, 3464.
Mass Variance from Archival X-ray Properties of Dark Energy Survey Year-1 Galaxy Clusters. Farahi, A. et al. 2019, MNRAS, 490, 3341.
Search for RR Lyrae stars in DES ultra-faint systems: Grus I, Kim 2, Phoenix II, and Grus II. Martínez-Vázquez, C. E., et al. 2019, MNRAS, 490, 2183.
Kinematics with Gaia DR2: the force of a dwarf. Carrillo, I. et al. 2019, MNRAS, 490, 797.
Producing a BOSS-CMASS sample with DES imaging. Lee, S. et al. 2019, MNRAS, 489, 2887.
Phenotypic redshifts with self-organizing maps: A novel method to characterize redshift distributions of source galaxies for weak lensing. Buchs, R. et al. 2019, MNRAS, 489, 820.
Dark Energy Survey Year 1 Results: Validation of Weak Lensing Cluster Member Contamination Estimates From P(z) Decomposition. Varga, T.N. et al. 2019, MNRAS, 489, 2511.
The spatial extension of extended narrow line regions in MaNGA AGN. Chen, J. et al. 2019, MNRAS, 489, 855.
Modeling projection effects in optically-selected cluster catalogues. Costanzi, M. et al. 2019, MNRAS, 488, 4779.
Dark Energy Survey Year 1 Results: The Effect of Intra-cluster Light on Photometric Redshifts for Weak Gravitational Lensing. Gruen, D. et al. 2019, MNRAS, 488, 4389.
HI-MaNGA: HI Followup for the MaNGA Survey. Masters, K.L. et al. 2019, MNRAS, 488, 3396.
A new RASS galaxy cluster catalogue with low contamination extending to z ? 1 in the DES overlap region. Klein, M. et al. 2019, MNRAS, 488, 739.
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. 2019, MNRAS, 488, 1.
First Cosmological Results using Type Ia Supernovae from the Dark Energy Survey: Measurement of the Hubble Constant. Macaulay, E. et al. 2019, MNRAS, 486, 2184.
Precessing winds from the nucleus of the prototype Red Geyser? Riffel, R.A. et al. 2019, MNRAS, 485, 5590.
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. 2019, MNRAS, 485, 5329.
Widespread star formation inside galactic Outflows. Gallagher, R. et al. 2019, MNRAS, 485, 3509.
Weak Lensing Analysis of SPT selected Galaxy Clusters using Dark Energy Survey Science Verification Data. Stern, C. et al. 2019, MNRAS, 485, 19.
First Cosmology Results using Type Ia Supernova from the Dark Energy Survey: Simulations to Correct Supernova Distance Biases. Kessler, R. et al. 2019, MNRAS, 485, 1171.
Finding High-redshift Strong Lenses in DES Using Convolutional Neural Networks. Jacobs, C. et al. 2019, MNRAS, 484, 5330.
More Out of Less: an Excess Integrated Sachs-Wolfe Signal from Supervoids Mapped out by the Dark Energy Survey. Kovács, A. et al. 2019, MNRAS, 484, 5267.
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. 2019, MNRAS, 483, 4866.
Candidate Massive Galaxies at z~ 4 in the Dark Energy Survey. Guarnieri, P. et al. 2019, MNRAS, 483, 3060.
APPROX – mutual approximations between the Galilean moons: the 2016–2018 observational campaign. Morgado, B. et al. 2019, MNRAS, 482, 5190.
Dark Energy Survey Year 1 Results: Galaxy Sample for BAO Measurement. Crocce,M. et al. 2019, MNRAS, 482, 2807.
Dark Energy Survey Year 1 Results: Weak Lensing Mass Calibration of redMaPPer Galaxy Clusters. McClintock, T. et al. 2019, MNRAS, 482, 1352.

2018

The DESI Instrument Control System: Status and Early Testing. Honscheid, K. et al. 2018, SPIE, 10707, 1.
Dark energy survey operations: years 4 and 5. Diehl, H.T. et al. 2018, Proceedings of SPIE, 10704, 10704D.
DES Science Portal: Computing Photometric Redshifts. Gschwend, J. et al. 2018, Astronomy & Computing, 25, 58.
DES Science Portal: Creating Science-Ready Catalogs. Fausti Neto, A. et al. 2018, Astronomy & Computing, 24, 52.
The future of stellar occultations by distant solar system bodies: Perspectives from the Gaia astrometry and the deep sky surveys. Camargo, J. I. B. et al. 2018, P&SS, 154, 59.
Checking the compatibility of the cold Kuiper belt with a planetary instability migration model. Gomes, R. et al. 2018, Icar, 306, 319.
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.
Dissecting Stellar Chemical Abundance Space with t-SNE. Anders, F. et al. 2018, A&A, 619, 125.
Dark Energy Survey Year 1 Results: Cosmological Constraints from Cosmic Shear. Troxel, M.A. et al. 2018, PhRvD, 98, 043528.
Dark Energy Survey Year 1 Results: Cosmological Constraints from Galaxy XClustering and Weak Lensing. Abbott, T.M.C. et al. 2018, PhRvD, 98, 043526.
Dark Energy Survey Year 1 Results: Galaxy Clustering for Combined Probes. Elvin-Poole, J. et al. 2018, PhRvD, 98, 042006.
Dark Energy Survey Year 1 Results: Galaxy-Galaxy Lensing. Prat, J. et al. 2018, PhRvD, 98, 042005.
Density Split Statistics: Joint Model of Counts and Lensing in Cells. Friedrich, O. et al. 2018, PhRvD, 98, 023508.
Density split statistics: Cosmological constraints from counts and lensing in cells in DES Y1 and SDSS. Gruen, D. et al. 2018, PhRvD, 98, 023507.
Excitation of a Primordial Cold Asteroid Belt as an Outcome of Planetary Instability. Deienno, R. et al. 2018, ApJ, 864, 50.
The Influence of Planet Nine on the Orbits of Distant TNOs: The Case for a Low-perihelion Planet. Cáceres, J. et al. 2018, AJ, 156, 157.
A Chemical and Kinematical Analysis of the Intermediate-age Open Cluster IC 166 from APOGEE and Gaia DR2. Schiappacasse-Ulloa, J. et al. 2018, AJ, 156, 94.
The First 62 AGN Observed With SDSS-IV MaNGA - II: Resolved stellar Populations. Mallmann, N.D. 2018, MNRAS, 478, 5491.
Morphology of AGN Emission Line Regions in SDSS-IV MaNGA Survey. He, Z. et al. 2018, MNRAS, 478, 3614.
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.
Star-galaxy Classification in the Dark Energy Survey Y1 Dataset. Sevilla-Noarbe, I. et al. 2018, MNRAS, 481, 5451.
Chemo-kinematics of the Milky Way from the SDSS-III MARVELS Survey. Grieves, N. et al. 2018, MNRAS, 481, 3244.
Modelling the Tucana III Stream - a Close Passage With the LMC. Erkal, D. 2018, MNRAS, 481, 3148.
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.
A Catalogue of Structural and Morphological Measurements for DES Y1. Tarsitano, F. et al. 2018, MNRAS, 481, 2018.
Estimating Stellar Birth Radii and the Time Evolution of the Milky Way\'s ISM Metallicity Gradient. Minchev, I. et al. 2018, MNRAS, 481, 1645.
Forecasts for Warm Dark Matter from Photometric Galaxy Surveys. Martins, J.S. et al. 2018, MNRAS, 481, 1290.
Dark Energy Survey Year 1 Results: Weak Lensing Shape Catalogues. Zuntz, J. et al. 2018, MNRAS, 481, 1149.
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.
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.
DES Y1 Results: Validating Cosmological Parameter Estimation Using Simulated Dark Energy Surveys. MacCrann, N. et al. 2018, MNRAS, 480, 4614.
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.
BAO from Angular Clustering: Optimization and Mitigation of Theoretical Systematics. Chan, K.C. et al. 2018, MNRAS, 480, 3031.
Survey Geometry and the Internal Consistency of Recent Cosmic Shear Measurements. Troxel, M.A. et al. 2018, MNRAS, 479, 4998.
DES Meets Gaia: Discovery of Strongly Lensed Quasars From a Multiplet Search. Agnello, A. et al. 2018, MNRAS, 479, 4345.
Improving Weak Lensing Mass Map Reconstructions using Gaussian and Sparsity Priors: Application to DES SV. Jeffrey, N. et al. 2018, MNRAS, 479, 2871.
Dark Energy Survey Year 1 Results: Galaxy Mock Catalogues for BAO. Avila, S. et al. 2018, MNRAS, 479, 94.
Update of membership and mean proper motion of open clusters from UCAC5 catalogue. Dias, W. S. et al. 2018, MNRAS, 478, 5184.
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.
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.
Dark Energy Survey Year 1 Results: Cross-Correlation Redshifts - Methods and Systematics Characterization. Gatti, M. et al. 2018, MNRAS, 477, 1664.
A Measurement of CMB Cluster Lensing with SPT and DES Year 1 Data. Baxter, E.J. et al. 2018, MNRAS, 476, 2674.
StarHorse: A Bayesian Tool for Determining Stellar Masses, Ages, Distances, and Extinctions for Field Stars. Queiroz, A.B. et al. 2018, MNRAS, 476, 2556.
SDSS-IV MaNGA: Evidence of the Importance of AGN Feedback in Low-mass Galaxies. Penny, S.J. et al. 2018, MNRAS, 476, 979.
Magnification in the Dark Energy Survey Science Verification Data. Garcia-Fernandez, M. et al. 2018, MNRAS, 476, 1071.
Do Satellite Galaxies Trace Matter in Galaxy Clusters ? Wang, C. et al 2018, MNRAS, 475, 4020.
UV-Luminous, Star-Forming Hosts of z~2 Reddened Quasars in the Dark Energy Survey. Wethers, C.F. et al. 2018, MNRAS, 475, 3682.
SDSS-IV MaNGA: Identification of Active Galactic Nuclei in Optical Integral Field Unit Surveys. Wylezalek, D. et al. 2018, MNRAS, 474, 1499.
Galaxy Bias From Galaxy-galaxy Lensing in the DES Science Verification Data. Prat, J. et al. 2018, MNRAS, 473, 1667.
Cartography of Triangulum-Andromeda Using SDSS Stars. Perottoni, H.D. et al. 2018, MNRAS, 473, 1461.
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.
SSDSS IV MaNGA - Properties of AGN Host Galaxies. Sanchez, S.F. et al. 2018, RMxAA, 54, 217.
How Many Kilonovae Can Be Found in Past, Present, and Future Survey Datasets? Scolnic, D. et al. 2018, ApJL, 852, L3.
The Dark Energy Survey Data Release 1. Abbott, T.M.C. et al. 2018, ApJSS, 239, 18.
Dark Energy Survey Year 1 Results: Photometric Data Set for Cosmology. Drlica-Wagner, A. et al. 2018, ApJS, 235, 33.
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.
Detecting Radio AGN Signatures in Red Geysers. Roy, N. et al. 2018, ApJ, 869, 117.
The First Tidally Disrupted Ultra-Faint Dwarf Galaxy? - Spectroscopic Analysis of the Tucana III Stream. Li, T. et al. 2018, ApJ, 866, 22.
The Splashback Feature around DES Galaxy Clusters: Galaxy Density and Weak Lensing Profiles. Chang, C. et al. 2018, ApJ, 864, 83.
Stellar Streams Discovered in the Dark Energy Survey. Shipp, N. et al. 2018, ApJ, 862, 114.
Quasar Accretion Disk Sizes With Continuum Reverberation Mapping From the Dark Energy Survey. Mudd, D. et al. 2018, ApJ, 862,123.
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.
Extreme variability quasars from the Sloan Digital Sky Survey and the Dark Energy Survey. Rumbaugh, N. et al. 2018, ApJ, 854, 160.
Studying the Ultraviolet Spectrum of the First Spectroscopically Confirmed Supernova at redshift two. Smith, M. et al. 2018, ApJ, 854, 37.
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.
The Bulge Metallicity Distribution from the APOGEE Survey. Garcia Perez, A.E. et al. 2018, ApJ, 852, 91.
The Clustering of Luminous Red Galaxies at z ~ 0.7 from eBOSS Data. Zhai, Z. et al. 2018, ApJ, 848, 76.
Dynamical Analysis of Three Distant Trans-Neptunian Objects with Similar Orbits. Khain, T. et al. 2018, AJ, 156, 273.
Discovery and Dynamical Analysis of an Extreme Trans-Neptunian Object with a High Orbital Inclination. Becker, J.C. et al. 2018, AJ, 156, 81.
Forward Global Photometric Calibration of the Dark Energy Survey. Burke, D. et al. 2018, AJ, 155, 41.
The Dark Energy Survey Image Processing Pipeline. Morganson, E. et al. 2018, PASP, 130, 4501.

2017

A Gravitational-wave Standard Siren Measurement of the Hubble Constant. Abbott, B.P. et al. 2017, Nature, 551, 85.
The Size, Shape, Density and Ring of the Dwarf Planet Haumea From a Stellar Occultation. Ortiz, J.L. et al. 2017, Nature, 550, 219.
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.
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.
Models of the Strongly Lensed Quasar DES J0408-5354. Agnello, A. et al. 2017, MNRAS, 472, 4038.
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.
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.
The Evolution of Active Galactic Nuclei in Clusters of Galaxies from the Dark Energy Survey. Bufanda, E. et al. 2017, MNRAS, 465, 2531.
The Structure of Chariklo\'s Rings from Stellar Occultations. Bérard, D. et al. 2017, AJ, 154, 144.
Constraining the Giant Planets\' Initial Configuration from Their Evolution: Implications for the Timing of the Planetary Instability. Deienno, R. et al. 2017, AJ, 153, 153.
DES15E2mlf: a Spectroscopically Confirmed Superluminous Supernova that Exploded 3.5 Gyr After the Big Bang. Pan, Y.-C et al. 2017, MNRAS, 470, 4241.
Photometric Redshifts and Clustering of Emission Line Galaxies Selected Jointly by DES and eBOSS. Jouvel, S. et al. 2017, MNRAS, 469, 2771.
Testing the Lognormality of the Galaxy and Weak Lensing Convergence Distributions from Dark Energy Survey Maps. Clerkin, L. et al. 2017, MNRAS, 466, 1444.
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.
Discovery of a z=0.65 Post-Starburst BAL Quasar in the DES Supernova Fields. Mudd, D. et al. 2017, MNRAS, 468, 3682.
Optical-SZE Scaling Relations for DES Optically Selected Clusters within the SPT-SZ Survey. Saro, A. et al. 2017, MNRAS, 468, 3347.
A Stellar Over-density Associated with the Small Magellanic Cloud. Pieres, A. et al. 2017, MNRAS, 468, 1349.
The Dark Energy Survey View of the Sagittarius Stream: Discovery of Two Faint Stellar System Candidates. Luque, E. et al. 2017, MNRAS, 468, 97.
Exploring the Brown Dwarf Desert: New Substellar Companions from the SDSS-III MARVELS Survey. Grieves, N. 2017, MNRAS, 467, 4262.
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.
OzDES Multifibre Spectroscopy for the Dark Energy Survey: Three Year Results and First Data Release. Childress, M.J. et al. 2017, MNRAS, 472, 273.
Weak-lensing Mass Calibration of redMaPPer Galaxy Clusters in Dark Energy Survey Science Verification Data. Melchior, P. et al. 2017, MNRAS, 469, 4899.
Cardinal kinematics: I. Rotation Fields of the APOGEE Survey. Kordopatis, G. et al. 2017, MNRAS, 467, 469.
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.
Environmental Dependence of the Galaxy Stellar Mass Function in the Dark Energy Survey Science Verification Data. Etherington, J. et al. 2017, MNRAS, 466, 228.
SDSS-IV MaNGA: Environmental Dependence of Stellar Age and Metallicity Gradients in Nearby Galaxies. Zheng, Z. et al. 2017, MNRAS, 465, 4572.
Galaxy-Galaxy Lensing in the DES Science Verification Data. Clampitt, J. et al. 2017, MNRAS, 465, 4204.
Imprint of DES Super-structures on the Cosmic Microwave Background. Kovács, A. et al. 2017, MNRAS, 465, 4166.
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.
Inference From the Small Scales of Cosmic Shear With Current and Future Dark Energy Survey Data. MacCrann, N. et al. 2017, MNRAS, 465, 2567.
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.
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.
Galactic Archaeology with Asteroseismology and Spectroscopy: Red Giants Observed by CoRoT and APOGEE. Anders, F. et al. 2017, A&A, 597, 30.
Chemical trends in the Galactic Halo from APOGEE data. Fernández-Alvar, E. 2017, MNRAS, 465, 1586.
Cosmic Voids and Void Lensing in the Dark Energy Survey Science Verification Data. Sánchez, C. et al. 2017, MNRAS, 465,746.
SDSS-IV MaNGA: Stellar Population Gradients as a Function of Galaxy Environment. Goddard, D. et al. 2017, MNRAS, 465, 688.
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.
SDSS-IV MANGA: Spatially Resolved Star Formation Main Sequence and LI(N)ER Sequence. Hsieh, B.C et al. 2017, ApJL, 851, L24.
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.
Multi-messenger Observations of a Binary Neutron Star Merger. Abbott, B.P. et al. 2017, ApJL, 848, L12.
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.
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.
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.
Discovery and Physical Characterization of a Large Scattered Disk Object at 92 AU. Gerdes, D. et al. 2017, ApJL, 939L, 15.
Discovery of the Lensed Quasar System DES J0408-5354. Lin, H. et al. 2017, ApJL, 838, L15.
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.
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.
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.
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.
An R-process enhanced star in the dwarf galaxy Tucana III. Hansen, T.T. et al. 2017, ApJ, 838, 44.
Farthest Neighbor: The Distant Milky Way Satellite Eridanus II. Li, T.S. et al. 2017, ApJ, 838, 8.
A Search for Kilonovae in the Dark Energy Survey. Doctor, Z. et al. 2017, ApJ, 837, 57.
Nearest Neighbor: The Low-Mass Milky Way Satellite Tucana III. Simon, J.D. et al. 2017, ApJ, 838,11.
Searching for Dark Matter Annihilation in Recently Discovered Milky Way Satellites with Fermi-LAT. Albert, A. et al. 2017, ApJ, 834, 110.
Size and Shape of Chariklo from Multi-epoch Stellar Occultations. Leiva, R. et al. 2017, AJ, 154, 159.
The Structure of Chariklo’s Rings from Stellar Occultations. Bérad, D. et al. 2017, AJ, 154, 144.
The Apache Point Observatory Galactic Evolution Experiment (APOGEE). Majewski, S.R. et al. 2017, AJ, 154, 94.
Sloan Digital Sky Survey IV: Mapping the Milky Way, Nearby Galaxies and the Distant Universe. Blanton, M.R. et al. 2017, AJ, 154, 28.
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.
A Study of Quasar Selection in the Supernova Fields of the Dark Energy Survey. Tie, S.S. et al. 2017, ApJ, 153, 107.
Redshift Measurement and Spectral Classification for eBOSS Galaxies with the Redmonster Software. Hutchinson, T. et al. 2017, AJ, 152, 205.
Astrometric Calibration and Performance of the Dark Energy Camera. Bernstein, G. M. et al. 2017, PASP, 129, 4503.

2016

Is the Grand Tack model compatible with the orbital distribution of main belt asteroids? Deienno, R. et al. 2016, Icar, 272, 114.
DESAlert: Enabling Real-Time Transient Follow-Up with Dark Energy Survey Data. Poci, A. et al. 2016, PASA, 33, 49.
Neptune trojan formation during planetary instability and migration. Gomes, R. et al. 2016, A&A, 592, 146.
THE INCLINATION OF THE PLANETARY SYSTEM RELATIVE TO THE SOLAR EQUATOR MAY BE EXPLAINED BY THE PRESENCE OF PLANET 9. Gomes, R. et al. 2016, AJ, 153, 27.
Crowdsourcing Quality Control for Dark Energy Survey Images. Melchior, P. et al. 2016, Astronomy & Computing, 16, 99.
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.
Red Clump Stars. Girardi, L. 2016, ARA&Ap, 54, 95.
The SDSS-IV eBOSS Emission-line Galaxy Pilot Survey. Comparat, J. et al. 2016, A&A, 592, A121.
Spectrophotometric Distances: a Bayesian Approach for Optical and NIR data. Santiago, B. X. et al. 2016, A&A, 585, 42.
Galactic Archaeology with CoRoT and APOGEE: Creating Mock Observations From a Chemodynamical Model. Anders, F. et al. 2016, Astron. Nachr., 337, 926.
Milky Way populations with TRILEGAL. Girardi, L. et al. 2016, Astron. Nachr., 337, 871.
Cosmology Constraints From Shear Peak Statistics in Dark Energy Survey Science Verification Data. Kacprzak, T. et al. 2016, MNRAS, 463, 3653.
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.
SDSS-IV MaNGA: Properties of Galaxies with Kinematically Decoupled Stellar and Gaseous Components. Jin, Y. et al. 2016, MNRAS, 463, 913.
The XMM Cluster Survey: Evolution of the Velocity Dispersion - Temperature Relation Over Half a Hubble Time. Wilson, S. et al. 2016, MNRAS, 463, 413.
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.
Detection of the Kinematic Sunyaev-Zel\'dovich Effect with DES Year 1 and SPT. Soergel, B. et al. 2016, MNRAS, 461, 3172.
Physical Properties of Star Clusters in the Outer LMC as Observed by the Dark Energy Survey. Pieres et al. 2016, MNRAS, 461,519.
The DES Science Verification Weak Lensing Shear Catalogs. Jarvis, M. et al. 2016, MNRAS, 460, 2245.
The Dark Energy Survey: More Than Dark Energy - An Overview. Dark Energy Survey Collaboration: Abbott, T. et al. 2016, MNRAS, 460, 1270.
Galaxy Bias From the DES Science Verification Data: Combining Galaxy Density Maps and Weak Lensing Maps. Chang, C. et al. 2016, MNRAS, 459, 3203.
Cross-correlation of Gravitational Lensing From DES Science Verification Data With SPT and Planck Lensing. Kirk, D. et al. 2016, MNRAS, 459, 21.
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.
No Galaxy Left Behind: Accurate Measurements with the Faintest Objects in the Dark Energy Survey. Suchyta, E. et al. 2016, MNRAS, 457, 786.
CMB Lensing Tomography with the DES Science Verification Galaxies. Giannantonio, T. et al. 2016, MNRAS, 456, 3213.
The SDSS-III BOSS Quasar Lens Survey: Discovery of Thirteen Gravitationally Lensed Quasars. More, A. et al. 2016, MNRAS, 456, 1595.
Galaxy Clustering, Photometric Redshifts and Diagnosis of Systematics in the DES Science Verification Data. Crocce, M. et al. 2016, MNRAS, 455, 4301.
Weak Lensing by Galaxy Troughs in DES Science Verification Data. Gruen, D. et al. 2016, MNRAS, 455, 3367.
Joint Analysis of Galaxy-Galaxy Lensing and Galaxy Clustering: Methodology and Forecasts for DES. Park, Y. et al. 2016, PhRvD, 94, 063533.
Redshift Distributions of Galaxies in the DES Science Verification Shear Catalogue and Implications for Weak Lensing. Bonnett, C. et al. 2016, PhRvD, 94, 042005.
Cosmic Shear Measurements with DES Science Verification Data. Becker, M.R. et al. 2016, PhRvD, 94, 022002.
Cosmology from Cosmic Shear with DES Science Verification Data. Abbott, T. et al. 2016, PhRvD, D94, 022001.
An Ultra-Faint Galaxy Candidate Discovered in Early Data from the Magellanic Satellites Survey. Drlica-Wagner, A. et al. 2016, ApJL, 833, L5.
A DECam Search for an Optical Counterpart to the LIGO Gravitational Wave Event GW151226. Cowperthwaite, P. et al. 2016, ApJL, 826, L29.
Localization and Broadband Follow-up of the Gravitational-wave Transient GW150914. Abbott, B.P. et al. 2016, ApJL, 826, L13.
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.
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.
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.
DES14X3taz: A Type I Superluminous Supernova Showing a Luminous, Rapidly Cooling Initial Pre-Peak Bump. Smith, M. et al. 2016, ApJL, 818, 8.
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.
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.
Mapping and Simulating Systematics due to Spatially-varying Observing Conditions in the Dark Energy Survey. Leistedt, B. et al. 2016, MNRAS, 226, 24.
Supplement: Localization and Broadband Follow-up of the Gravitational-wave Transient GW150914. Abbott, B.P. et al. 2016, ApJS, 225, 8.
The SDSS-IV extended Baryonic Oscillation Spectroscopic Survey: Luminous Red Galaxy Target Selection. Prakash, A. et al. 2016, ApJS, 224, 34.
The RedMaPPer Galaxy Cluster Catalog From DES Science Verification Data. Rykoff, E.S. et al. 2016, ApJS, 224S, 1.
Discovery of a Stellar Overdensity in Eridanus-Phoenix in the Dark Energy Survey. Li, T.S. et al. 2016, ApJ, 817, 135.
Determining Ages of APOGEE Giants with Known Distances. Feuillet, D. et al. 2016, ApJ, 817, 40.
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.
Host Galaxy Identification for Supernova Surveys. Gupta, R. et al. 2016, AJ, 152, 154.
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.
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.
The SDSS-IV extended Baryon Oscillation Spectroscopic Survey: Overview and Early Data. Dawson, K.S. et al. 2016, AJ, 151, 44.
Observation of Two New L4 Neptune Trojans in the Dark Energy Survey Supernova Fields. Gerdes, D.W. et al. 2016, AJ, 151, 39.
Joint Measurement of Lensing-Galaxy Correlations Using SPT and DES SV Data. Baxter, E.J. et al. 2016, MNRAS, 461, 4099.

2015

Evidence for a Metal-poor Population in the Inner Galactic Bulge. Schultheis, M. et al. 2015, A&A, 584, 45.
Young [alpha/Fe]-enhanced stars discovered by CoRoT and APOGEE: What is their origin? Chiappini, C. et al. 2015, A&A, 576, 12.
Baryon Acoustic Oscillations in the Ly-alpha forest of BOSS DR11 quasars. Delubac, T. et al. 2015, A&A, 574.
redMaGiC: Selecting Luminous Red Galaxies from the DES Science Verification Data. Rozo, E. et al. 2015, MNRAS, 461, 1431.
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.
Discovery of two gravitationally lensed quasars in the Dark Energy Survey. Agnello, A. et al. 2015, MNRAS, 454, 1260.
OzDES multi-fibre spectroscopy for the Dark Energy Survey: First-year operation and results. Yuan, F. et al. 2015, MNRAS, 452, 3047.
Young alpha-enriched Giant Stars in the Solar Neighbourhood. Martig, M. et al. 2015, MNRAS, 451, 2230.
Star/galaxy Separation at Faint Magnitudes: Application to a Simulated Dark Energy Survey. Soumagnac, M.T. et al. 2015, MNRAS, 450, 666.
A New Method for Estimating the Pattern Speed of Spiral Structure in the Milky Way. Junqueira, T.C. et al. 2015, MNRAS, 449, 2336.
Mass and Galaxy Distributions of Four Massive Galaxy Clusters from Dark Energy Survey Science Verification Data. Melchior, P. et al. 2015, MNRAS, 449, 2219.
DES13S2cmm: The First Superluminous Supernova from the Dark Energy Survey. Papadopoulos, A. et al. 2015, MNRAS, 449, 1215.
The LMC geometry and outer stellar populations from early DES data. Balbinot, E. et al. 2015, MNRAS, 449, 1129.
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.
Wide-Field Lensing Mass Maps from DES Science Verification Data. Vikram, V. et al. 2015, PRD, 92, 022006.
Cosmological implications of baryon acoustic oscillation (BAO) measurements. Aubourg, E. et al. 2015, PRD, 9213516.
Observation and Confirmation of Six Strong Lensing Systems in The Dark Energy Survey Science Verification Data. Nord, B. et al. 2015, ApJ, 827, 51.
The Phoenix Stream: a Cold Stream in the Southern Hemisphere. Balbinot, E. et al. 2015, ApJ, 820, 58.
Broadband Distortion Modeling in Lyman-alpha Forest BAO Fitting. Blomquist, M. et al. 2015, JCAP, 11, 034.
Eight Ultra-faint Galaxy Candidates Discovered in Year Two of the Dark Energy Survey. Drlica-Wagner, A. et al. 2015, ApJ, 813, 109.
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.
The Difference Imaging Pipeline for the Transient Search in the Dark Energy Survey. Kessler, R. et al. 2015, AJ, 150, 172.
The Dark Energy Camera. Flaugher, B. et al. 2015, AJ, 150, 150.
Search for Gamma-Ray Emission from DES Dwarf Spheroidal Galaxy Candidates with Fermi-LAT Data. Drlica-Wagner, A. et al. 2015, ApJL, 809, 4.
Automated Transient Identification in the Dark Energy Survey. Goldstein, D. A. et al. 2015, AJ, 150, 82.
Mock Quasar-Lyman-alpha Forest Data-sets for the SDSS-III Baryon Oscillation Spectroscopic Survey. Bautista, J. et al. 2015, JCAP, 5, 60.
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.
The APOKASC Catalog: An Asteroseismic and Spectroscopic Joint Survey of Targets in the Kepler Fields. Pinsonneault, M.H. et al. 2015, ApJS, 215, 19.
Stellar Kinematics and Metallicities in the Ultra-faint Dwarf Galaxy Reticulum II. Simon, J.D. et al. 2015, ApJ, 808, 95.
Eight New Milky Way Companions Discovered in First-Year Dark Energy Survey Data. Bechtol, K. et al. 2015, ApJ, 807, 50.
Globular Cluster Streams as Galactic High-Precision Scales - The Poster Child od Palomar 5. Kupper, A.H.W. et al. 2015, ApJ, 803, 80.
Modelling the Transfer Function for the Dark Energy Survey. C.Chang et al. 2015, ApJ, 801, 73.
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.

2014

Chemo-dynamics with the First Year of APOGEE Data. Anders, F. et al. 2014, A&A, 564, 115.
The Sloan Digital Sky Survey Quasar Catalog: Tenth Data Release. Paris, I. et al. 2014, A&A, 536, 54.
The Dark Energy Survey and operations: Year 1. Diehl, H. T. et al. 2014, SPIE, 9149, 91490V.
The DECam DAQ System: lessons learned after one year of operations. Honscheid, K et al. 2014, SPIE, 9152, 91520G.
Bayesian Distances and Extinctions for Giants Observed by Kepler and APOGEE. Rodrigues, T.S. et al. 2014, MNRAS, 445, 2758.
Photometric Redshift Analysis in the Dark Energy Survey Science Verification Data. Sánchez, C. et al. 2014, MNRAS, 445, 1482.
Orientation Bias of Optically Selected Galaxy Clusters and Its Impact on Stacked Weak Lensing Analyses. Dietrich, J.P. et al. 2014, MNRAS, 443, 1713.
On the effect of the ionising background on the Ly{alpha} forest autocorrelation function. Gontcho, S. et al. 2014, MNRAS, 442, 187.
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.
Accurate Atmospheric Parameters at Moderate Spectral Resolution: Preliminary Application to the MARVELS Survey. Ghezzi, L. et al. 2014, AJ, 148, 105.
Quasar-Lyman-alpha Forest Cross-Correlation from BOSS DR11: Baryon Acoustic Oscillations. Font-Ribera, A. et al. 2014, JC&AP, 05, 027.
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.

2013

PreCam, a Precursor Observational Campaign for Calibration of the Dark Energy Survey. Kuehn, K. et al. 2013, PASP, 125, 409.
A Simple Prescription for Simulating and Characterizing Gravitational Arcs. Furlanetto, C. et al. 2013, A&A, 549, A80.
Large-scale Analysis of the SDSS-III DR8 Photometric Luminous Galaxies Angular Correlation Function. Simoni, F. et al. 2013, MNRAS, 435, 3017.
Detecting Massive Galaxies at High Redshift Using the Dark Energy Survey. Davis, L.M.J. et al. 2013, MNRAS, 434, 296.
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.
The Soar Gravitational Arc Survey I: Survey Overview and Photometric Catalogs. Furlanetto, C. et al. 2013, MNRAS, 432, 73.
The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: the low-redshift sample. Parejko, J. et al. 2013, MNRAS, 429, 98.
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.
Target Selection for the Apache Point Observatory Galactic Evolution Experiment (APOGEE). Zasowski, G. et al. 2013, AJ, 146, 81.
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.
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.
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.
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.
The Baryon Oscillation Spectroscopic Survey of SDSS-III. Dawson, K.S. et al. 2013, AJ, 145, 10.
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.
The Homogeneous Study of Transiting Systems (HoSTS) I. The Pilot Study of WASP-13. Gómez Maqueo Chew, Y. et al. 2013, ApJ, 768, 79.
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.
A New Milky Way Satellite in the Southern Galactic Sky. Balbinot, E. et al. 2013, ApJ, 767, 101.

2012

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.
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.
The XMM Cluster Survey: Optical analysis methodology and the first data release. Mehrtens, N. et al. 2012, MNRAS, 423, 1024.
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.
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.
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.
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.
Clustering of Sloan Digital Sky Survey III Photometric Luminous Galaxies: The Measurement, Systematics and Cosmological Implications. Ho, S. et al. 2012, ApJ, 761, 14.
Acoustic scale from the angular power spectra of SDSS-III DR8 photometric luminous galaxies. Seo, H. et al. 2012, ApJ, 761, 13.
The Milky Way Circular Velocity Curve Between 4 and 14 kpc from APOGEE Data. Bovy, J. et al. 2012, ApJ, 759, 131.

2011

Ameliorating Systematic Uncertainties in the Angular Clustering of Galaxies: A Study using SDSS-III. Ross, A. et al. 2011, MNRAS, 417, 1350.
The Tidal Tails of NGC 2298. Balbinot, E. et al. 2011, MNRAS, 416, 393.
Tracing the sound horizon scale with photometric redshift surveys. Sánchez, E. et al. 2011, MNRAS, 411, 277.
Cosmological forecasts from photometric measurements of the angular correlation function. Sobreira, F. et al. 2011, PRD, 84, 103001.
Detailed Abundances of the Solar Twins 16 Cygni A and B: Constraining Planet Formation Models. Schuler, S. et al. 2011, ApJ, 737, L32.
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.
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.
Evolution of Galaxy Luminosity Function Using Photometric Redshifts. Ramos, B. et al. 2011, AJ, 142, 41.
The Dark Energy Survey: Prospects for Resolved Stellar Populations. Rossetto, B. et al. 2011, AJ, 141, 185.
The Eighth Data Release of the Sloan Digital Sky Survey: First Data from SDSS-III. Aihara, H. et al. 2011, ApJS, 193, 29.
Abundances of Stars with Planets: Trends with Condensation Temperature. Schuler, S.C. et al. 2011, ApJ, 732, 55.
The clustering of massive galaxies at z~0.5 from the first semester of BOSS data. White, M. et al. 2011, ApJ, 728, 126.
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.

2010

The DECam data acquisition and control system. Honscheid, K. et al. 2010, Proceedings of the SPIE, 7740, 53.
Status of the dark energy survey camera (DECam) project. Flaugher, B.L. et al. 2010, Proceedings of the SPIE, 7735, 12.
The Dark Energy Survey: perspectives for resolved stellar population studies. Santiago et al. 2010, Stellar Populations - Planning for the Next Decade, 262, 265.

2009

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

2008

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