Publications

in 2023



  1. Gordon, C et al.,
    3D correlations in the Lyman-α forest from early DESI data,
    Journal Of Cosmology And Astroparticle Physics. (11): 45- (2023) [DOI] [ARXIV]
  2. Cabayol-Garcia, L et al.,
    A neural network emulator for the Lyman-α forest 1D flux power spectrum,
    Monthly Notices Of The Royal Astronomical Society. 525 (3): 3499-3515 (2023) [DOI] [ARXIV]
  3. Hadzhiyska, B et al.,
    Planting a Lyman alpha forest on AbacusSummit,
    Monthly Notices Of The Royal Astronomical Society. 524 (1): 1008-1024 (2023) [DOI] [ARXIV]
  4. Cuceu, A et al.,
    The Alcock–Paczyński effect from Lyman-α forest correlations: analysis validation with synthetic data,
    Monthly Notices Of The Royal Astronomical Society. 523 (3): 3773-3790 (2023) [DOI] [ARXIV]
  5. Cuceu, A et al.,
    Constraints on the Cosmic Expansion Rate at Redshift 2.3 from the Lyman-alpha Forest,
    Physical Review Letters. 130 (19): 191003- (2023) [DOI] [ARXIV]
  6. Pedersen, C et al.,
    Compressing the Cosmological Information in One-dimensional Correlations of the Ly alpha Forest,
    Astrophysical Journal Letters. 944 (2): 223- (2023) [DOI] [ARXIV]
  7. Gerardi, F et al.,
    Direct cosmological inference from three-dimensional correlations of the Lyman a forest,
    Monthly Notices Of The Royal Astronomical Society. 518 (2): 2567-2573 (2023) [DOI] [ARXIV]
  8. Contreras, S et al.,
    Consistent clustering and lensing of SDSS-III BOSS galaxies with an extended abundance matching formalism,
    Monthly Notices Of The Royal Astronomical Society. 525 (2): 3149-3161 (2023) [DOI] [ARXIV]
  9. Pérez-Ràfols, I et al.,
    The cross-correlation of galaxies in absorption with the Lyman α forest,
    Monthly Notices Of The Royal Astronomical Society. 524 (1): 1464-1477 (2023) [DOI] [ARXIV]
  10. Siudek, M et al.,
    Environments of red nuggets at z ∼ 0.7 from the VIPERS survey,
    Monthly Notices Of The Royal Astronomical Society. 523 (3): 4294-4308 (2023) [DOI]
  11. Hearin, AP et al.,
    DSPS: Differentiable stellar population synthesis,
    Monthly Notices Of The Royal Astronomical Society. 521 (2): 1741-1756 (2023) [DOI] [ARXIV]
  12. Chaves-Montero, J et al.,
    The galaxy formation origin of the lensing is low problem,
    Monthly Notices Of The Royal Astronomical Society. 521 (1): 937-951 (2023) [DOI] [ARXIV]
  13. d'Assignies, DW et al.,
    Cosmological Fisher forecasts for next-generation spectroscopic surveys,
    Monthly Notices Of The Royal Astronomical Society. 521 (3): 3648-3662 (2023) [DOI] [ARXIV]
  14. Cabayol, L et al.,
    The PAU Survey and Euclid: Improving broadband photometric redshifts with multi-task learning star,
    Astronomy & Astrophysics. 671 A153- (2023) [DOI] [ARXIV]
  15. Avila, S et al.,
    Validating galaxy clustering models with fixed and paired and matched-ICs simulations: application to primordial non-Gaussianities,
    Monthly Notices Of The Royal Astronomical Society. 519 (3): 3706-3722 (2023) [DOI] [ARXIV]
  16. Siudek, M et al.,
    The environment of AGN dwarf galaxies at z similar to 0.7 from the VIPERS survey,
    Monthly Notices Of The Royal Astronomical Society. 518 (1): 724-741 (2023) [DOI]
  17. Mezcua, M et al.,
    Overmassive Black Holes in Dwarf Galaxies Out to z similar to 0.9 in the VIPERS Survey,
    Astrophysical Journal Letters. 943 (1): L5- (2023) [DOI] [ARXIV]
  18. Sánchez, C et al.,
    The Dark Energy Survey Year 3 high-redshift sample: selection, characterization, and analysis of galaxy clustering,
    Monthly Notices Of The Royal Astronomical Society. 525 (3): 3896-3922 (2023) [DOI] [ARXIV]
  19. Duarte, J et al.,
    A sample of dust attenuation laws for Dark Energy Survey supernova host galaxies,
    Astronomy & Astrophysics. 680 A56- (2023) [DOI] [ARXIV]
  20. Schultheis, M et al.,
    Gaia Focused Product Release: Spatial distribution of two diffuse interstellar bands,
    Astronomy & Astrophysics. 680 A38- (2023) [DOI]
  21. Schlafly, EF et al.,
    Survey Operations for the Dark Energy Spectroscopic Instrument,
    Astronomical Journal. 166 (6): 259- (2023) [DOI] [ARXIV]
  22. Giannini, G et al.,
    Dark Energy Survey Year 3 results: redshift calibration of the MAGLIM lens sample from the combination of SOMPZ and clustering and its impact on cosmology,
    Monthly Notices Of The Royal Astronomical Society. 527 (2): 2010-2036 (2023) [DOI] [ARXIV]
  23. Yang, JY et al.,
    DESI z ≳ 5 Quasar Survey. I. A First Sample of 400 New Quasars at z ∼ 4.7–6.6,
    Astrophysical Journal Supplement Series. 269 (1): 27- (2023) [DOI] [ARXIV]
  24. Prieto, CA et al.,
    GTC Follow-up Observations of Very Metal-poor Star Candidates from DESI,
    Astrophysical Journal Letters. 957 (2): 76- (2023) [DOI] [ARXIV]
  25. Zhou, RP et al.,
    DESI luminous red galaxy samples for cross-correlations,
    Journal Of Cosmology And Astroparticle Physics. (11): 97- (2023) [DOI] [ARXIV]
  26. Ravoux, C et al.,
    The Dark Energy Spectroscopic Instrument: One-dimensional power spectrum from first Lyman-$\alpha$ forest samples with Fast Fourier Transform,
    Monthly Notices Of The Royal Astronomical Society. 526 (4): 5118-5140 (2023) [DOI] [ARXIV]
  27. Toy, M et al.,
    Rates and properties of Type Ia supernovae in galaxy clusters within the dark energy survey,
    Monthly Notices Of The Royal Astronomical Society. 526 (4): 5292-5305 (2023) [DOI] [ARXIV]
  28. García, LA et al.,
    Analysis of the impact of broad absorption lines on quasar redshift measurements with synthetic observations,
    Monthly Notices Of The Royal Astronomical Society. 526 (4): 4848-4859 (2023) [DOI] [ARXIV]
  29. Anbajagane, D et al.,
    Beyond the 3rd moment: a practical study of using lensing convergence CDFs for cosmology with DES Y3,
    Monthly Notices Of The Royal Astronomical Society. 526 (4): 5530-5554 (2023) [DOI] [ARXIV]
  30. Pérez-Ràfols, I et al.,
    The miniJPAS survey quasar selection IV. Classification and redshift estimation with SQUEzE,
    Astronomy & Astrophysics. 678 A144- (2023) [DOI]
  31. Yao, J et al.,
    DESI and DECaLS (D&D): galaxy-galaxy lensing measurements with 1% survey and its forecast,
    Monthly Notices Of The Royal Astronomical Society. 524 (4): 6071-6084 (2023) [DOI] [ARXIV]
  32. Kent, S et al.,
    Astrometric Calibration and Performance of the Dark Energy Spectroscopic Instrument Focal Plane,
    Astronomical Journal. 166 (4): 177-177 (2023) [DOI] [ARXIV]
  33. Rocher, A et al.,
    The DESI One-Percent survey: exploring the Halo Occupation Distribution of Emission Line Galaxies with AbacusSummit simulations,
    Journal Of Cosmology And Astroparticle Physics. 10 (10): 016- (2023) [DOI] [ARXIV]
  34. Zhou, C et al.,
    The intrinsic alignment of red galaxies in DES Y1 redMaPPer galaxy clusters,
    Monthly Notices Of The Royal Astronomical Society. 526 (1): 323-336 (2023) [DOI] [ARXIV]
  35. Moon, J et al.,
    First detection of the BAO signal from early DESI data,
    Monthly Notices Of The Royal Astronomical Society. 525 (4): 5406-5422 (2023) [DOI] [ARXIV]
  36. Fawcett, VA et al.,
    A striking relationship between dust extinction and radio detection in DESI QSOs: evidence for a dusty blow-out phase in red QSOs,
    Monthly Notices Of The Royal Astronomical Society. 525 (4): 5575-5596 (2023) [DOI]
  37. Radinovic, S et al.,
    Euclid: Cosmology forecasts from the void-galaxy cross-correlation function with reconstruction,
    Astronomy & Astrophysics. 677 A78- (2023) [DOI] [ARXIV]
  38. Napolitano, L et al.,
    Detecting and Characterizing Mg ii Absorption in DESI Survey Validation Quasar Spectra,
    Astronomical Journal. 166 (3): 99- (2023) [DOI] [ARXIV]
  39. Gao, HY et al.,
    The DESI One-Percent Survey: Constructing Galaxy–Halo Connections for ELGs and LRGs Using Auto and Cross Correlations,
    Astrophysical Journal Letters. 954 (2): 207- (2023) [DOI] [ARXIV]
  40. Darragh-Ford, E et al.,
    Target Selection and Sample Characterization for the DESI LOW-Z Secondary Target Program,
    Astrophysical Journal Letters. 954 (2): 149- (2023) [DOI] [ARXIV]
  41. Ruggeri, R et al.,
    A data compression and optimal galaxy weights scheme for Dark Energy Spectroscopic Instrument and weak lensing data sets,
    Monthly Notices Of The Royal Astronomical Society. 525 (3): 3865-3878 (2023) [DOI] [ARXIV]
  42. Hadzhiyska, B et al.,
    Synthetic light-cone catalogues of modern redshift and weak lensing surveys waith ABACUSSUMMIT,
    Monthly Notices Of The Royal Astronomical Society. 525 (3): 4367-4387 (2023) [DOI]
  43. Saulder, C et al.,
    Target Selection for the DESI Peculiar Velocity Survey,
    Monthly Notices Of The Royal Astronomical Society. 525 (1): 1106-1125 (2023) [DOI] [ARXIV]
  44. Mastrogiovanni, S et al.,
    Joint population and cosmological properties inference with gravitational waves standard sirens and galaxy surveys,
    Physical Review d. 108 (4): 42002- (2023) [DOI] [ARXIV]
  45. Hernández-Lang, D et al.,
    The PSZ-MCMF catalogue of Planck clusters over the DES region,
    Monthly Notices Of The Royal Astronomical Society. 525 (1): 24-43 (2023) [DOI] [ARXIV]
  46. Gabarra, L et al.,
    Euclid preparation XXX. Performance assessment of the NISP red grism through spectroscopic simulations for the wide and deep surveys,
    Astronomy & Astrophysics. 676 A34- (2023) [DOI] [ARXIV]
  47. Brodzeller, A et al.,
    Performance of the Quasar Spectral Templates for the Dark Energy Spectroscopic Instrument,
    Astronomical Journal. 166 (2): 66- (2023) [DOI] [ARXIV]
  48. Gatti, M et al.,
    Detection of the significant impact of source clustering on higher order statistics with DES Year 3 weak gravitational lensing data,
    Monthly Notices Of The Royal Astronomical Society. 527 L115-L121 (2023) [DOI] [ARXIV]
  49. Rashkovetskyi, M et al.,
    Validation of semi-analytical, semi-empirical covariance matrices for two-point correlation function for early DESI data,
    Monthly Notices Of The Royal Astronomical Society. 524 (3): 3894-3911 (2023) [DOI] [ARXIV]
  50. González-Morán, AL et al.,
    The PAU survey: classifying low-z SEDs using Machine Learning clustering,
    Monthly Notices Of The Royal Astronomical Society. 524 (3): 3569-3581 (2023) [DOI]
  51. Mallaby-Kay, M et al.,
    Kinematic Sunyaev-Zel’dovich effect with ACT, DES, and BOSS: A novel hybrid estimator,
    Physical Review d. 108 (2): 23516- (2023) [DOI] [ARXIV]
  52. Samuroff, S et al.,
    The Dark Energy Survey Year 3 and eBOSS: constraining galaxy intrinsic alignments across luminosity and colour space,
    Monthly Notices Of The Royal Astronomical Society. 524 (2): 2195-2223 (2023) [DOI] [ARXIV]
  53. Ajani, V et al.,
    Euclid Preparation. XXVIII. Forecasts for ten different higher-order weak lensing statistics,
    Astronomy & Astrophysics. 675 A120- (2023) [DOI] [ARXIV]
  54. D'Silva, JCJ et al.,
    GAMA/DEVILS: cosmic star formation and AGN activity over 12.5 billion years,
    Monthly Notices Of The Royal Astronomical Society. 524 (1): 1448-1463 (2023) [DOI]
  55. Paterson, K et al.,
    Euclid preparation. XXVII. A UV-NIR spectral atlas of compact planetary nebulae for wavelength calibration,
    Astronomy & Astrophysics. 674 A172- (2023) [DOI] [ARXIV]
  56. Adame, G et al.,
    The Early Data Release of the Dark Energy Spectroscopic Instrument,
    (2023) [DOI] [ARXIV]
  57. et al.,
    Validation of the Scientific Program for the Dark Energy Spectroscopic Instrument,
    (2023) [DOI] [ARXIV]
  58. Serrano, S et al.,
    The Physics of the Accelerating Universe Survey: narrow-band image photometry,
    Monthly Notices Of The Royal Astronomical Society. 523 (3): 3287-3317 (2023) [DOI] [ARXIV]
  59. Elvin-Poole, J et al.,
    Dark Energy Survey Year 3 results: magnification modelling and impact on cosmological constraints from galaxy clustering and galaxy–galaxy lensing,
    Monthly Notices Of The Royal Astronomical Society. 523 (3): 3649-3670 (2023) [DOI] [ARXIV]
  60. Lee, J et al.,
    The Dark Energy Survey Supernova Program: Corrections on Photometry Due to Wavelength-dependent Atmospheric Effects,
    Astronomical Journal. 165 (6): 222- (2023) [DOI] [ARXIV]
  61. Adamek, J et al.,
    Euclid: Modelling massive neutrinos in cosmology – a code comparison,
    Journal Of Cosmology And Astroparticle Physics. 06 (6): 35- (2023) [DOI] [ARXIV]
  62. Bernstein, GM et al.,
    Synchronous Rotation in the (136199) Eris-Dysnomia System,
    Planetary Science Journal. 4 (6): 115- (2023) [DOI]
  63. Abbott, R et al.,
    Constraints on the Cosmic Expansion History from GWTC-3,
    Astrophysical Journal Letters. 949 (2): 76- (2023) [DOI] [ARXIV]
  64. Balaguera-Antolínez, A et al.,
    DESI mock challenge Halo and galaxy catalogues with the bias assignment method,
    Astronomy & Astrophysics. 673 A130- (2023) [DOI] [ARXIV]
  65. Martinez-Solaeche, G et al.,
    The miniJPAS survey quasar selection III. Classification with artificial neural networks and hybridisation,
    Astronomy & Astrophysics. 673 A103- (2023) [DOI] [ARXIV]
  66. Walter Riquelme et al.,
    Primordial non-Gaussianity with Angular correlation function: Integral constraint and validation for DES,
    Monthly Notices Of The Royal Astronomical Society. (2023) [DOI] [ARXIV]
  67. Upsdell, EW et al.,
    The XMM Cluster Survey: Exploring scaling relations and completeness of the Dark Energy Survey Year 3 redMaPPer cluster catalogue,
    Monthly Notices Of The Royal Astronomical Society. 522 (4): 5267-5290 (2023) [DOI] [ARXIV]
  68. Gonzalez, EJ et al.,
    The PAU survey: close galaxy pairs identification and analysis,
    Monthly Notices Of The Royal Astronomical Society. 522 (4): 5655-5668 (2023) [DOI] [ARXIV]
  69. Karacayli, NG et al.,
    A framework to measure the properties of intergalactic metal systems with two-point flux statistics,
    Monthly Notices Of The Royal Astronomical Society. 522 (4): 5980-5995 (2023) [DOI] [ARXIV]
  70. K. Graham et al.,
    Cool Cores in Clusters of Galaxies in the Dark Energy Survey,
    7 (5): 86-86 (2023) [DOI] [ARXIV]
  71. Yeu, ZF et al.,
    OzDES Reverberation Mapping Programme: Mg II lags and R-L relation,
    Monthly Notices Of The Royal Astronomical Society. 522 (3): 4132-4147 (2023) [DOI] [ARXIV]
  72. Lemos, P et al.,
    Robust sampling for weak lensing and clustering analyses with the Dark Energy Survey,
    Monthly Notices Of The Royal Astronomical Society. 521 (1): 1184-1199 (2023) [DOI] [ARXIV]
  73. Stone, Z et al.,
    Optical variability of quasars with 20-year photometric light curves (vol 514, 164, 2022),
    Monthly Notices Of The Royal Astronomical Society. 521 (1): 836-839 (2023) [DOI] [ARXIV]
  74. Sánchez, J et al.,
    Mapping gas around massive galaxies: cross-correlation of DES Y3 galaxies and Compton-y maps from SPT and Planck,
    Monthly Notices Of The Royal Astronomical Society. 522 (2): 3163-3182 (2023) [DOI] [ARXIV]
  75. Prat, J et al.,
    Non-local contribution from small scales in galaxy-galaxy lensing: comparison of mitigation schemes,
    Monthly Notices Of The Royal Astronomical Society. 522 (1): 412-425 (2023) [DOI] [ARXIV]
  76. Lamman, C et al.,
    Intrinsic alignment as an RSD contaminant in the DESI survey,
    Monthly Notices Of The Royal Astronomical Society. 522 (1): 117-129 (2023) [DOI] [ARXIV]
  77. López, IE et al.,
    The miniJPAS survey: AGN and host galaxy coevolution of X-ray-selected sources,
    Astronomy & Astrophysics. 672 A137- (2023) [DOI] [ARXIV]
  78. Abbott, TMC et al.,
    Dark Energy Survey Year 3 results: Constraints on extensions to ΛCDM with weak lensing and galaxy clustering,
    Physical Review d. 107 (8): 83504- (2023) [DOI] [ARXIV]
  79. Guy, J et al.,
    The Spectroscopic Data Processing Pipeline for the Dark Energy Spectroscopic Instrument,
    Astronomical Journal. 165 (4): 144- (2023) [DOI] [ARXIV]
  80. Cooper, AP et al.,
    Overview of the DESI Milky Way Survey,
    Astrophysical Journal Letters. 947 (1): 37- (2023) [DOI] [ARXIV]
  81. Setton, DJ et al.,
    DESI Survey Validation Spectra Reveal an Increasing Fraction of Recently Quenched Galaxies at z similar to 1,
    Astrophysical Journal Letters. 947 (2): L31- (2023) [DOI] [ARXIV]
  82. Manser, CJ et al.,
    DAHe white dwarfs from the DESI Survey,
    Monthly Notices Of The Royal Astronomical Society. 521 (4): 4976-4994 (2023) [DOI] [ARXIV]
  83. dal Ponte, M et al.,
    Ultracool dwarfs candidates based on six years of the Dark Energy Survey data,
    Monthly Notices Of The Royal Astronomical Society. 522 (2): 1951-1967 (2023) [DOI] [ARXIV]
  84. Eltvedt, AM et al.,
    The VST ATLAS quasar survey I: Catalogue of photometrically selected quasar candidates,
    Monthly Notices Of The Royal Astronomical Society. 521 (3): 3384-3404 (2023) [DOI] [ARXIV]
  85. Humphrey, A et al.,
    Euclid preparation - XXII. Selection of quiescent galaxies from mock photometry using machine learning,
    Astronomy & Astrophysics. 671 A99- (2023) [DOI] [ARXIV]
  86. Bretonnière, H et al.,
    Euclid preparation XXVI. The Euclid Morphology Challenge: Towards structural parameters for billions of galaxies,
    Astronomy & Astrophysics. 671 A102- (2023) [DOI] [ARXIV]
  87. Castro, T et al.,
    Euclid preparation XXIV. Calibration of the halo mass function in ?(nu)CDM cosmologies,
    Astronomy & Astrophysics. 671 A100- (2023) [DOI] [ARXIV]
  88. Merlin, E et al.,
    Euclid preparation XXV. The Euclid Morphology Challenge: Towards model-fitting photometry for billions of galaxies,
    Astronomy & Astrophysics. 671 A101- (2023) [DOI] [ARXIV]
  89. Camarena, D et al.,
    Euclid: Testing the Copernican principle with next-generation surveys,
    Astronomy & Astrophysics. 671 A68- (2023) [DOI] [ARXIV]
  90. Golden-Marx, JB et al.,
    Characterizing the intracluster light over the redshift range 0.2 < z < 0.8 in the DES-ACT overlap,
    Monthly Notices Of The Royal Astronomical Society. 521 (1): 478-496 (2023) [DOI] [ARXIV]
  91. Rodrigues, NVN et al.,
    The miniJPAS survey quasar selection II: Machine learning classification with photometric measurements and uncertainties,
    Monthly Notices Of The Royal Astronomical Society. 520 (3): 3494-3509 (2023) [DOI] [ARXIV]
  92. Raichoor, A et al.,
    Target Selection and Validation of DESI Emission Line Galaxies,
    Astronomical Journal. 165 (3): 126- (2023) [DOI] [ARXIV]
  93. Alexander, DM et al.,
    The DESI Survey Validation: Results from Visual Inspection of the Quasar Survey Spectra,
    Astronomical Journal. 165 (3): 124- (2023) [DOI] [ARXIV]
  94. Hahn, C et al.,
    The DESI PRObabilistic Value-added Bright Galaxy Survey (PROVABGS) Mock Challenge,
    Astrophysical Journal Letters. 945 (1): 16- (2023) [DOI] [ARXIV]
  95. Schiappucci, E et al.,
    Measurement of the mean central optical depth of galaxy clusters via the pairwise kinematic Sunyaev-Zel'dovich effect with SPT-3G and DES,
    Physical Review d. 107 (4): 42004- (2023) [DOI] [ARXIV]
  96. Naidoo, K et al.,
    Euclid: Calibrating photometric redshifts with spectroscopic cross-correlations,
    Astronomy & Astrophysics. 670 A149- (2023) [DOI] [ARXIV]
  97. Bisigello, L et al.,
    Euclid preparation: XXIII. Derivation of galaxy physical properties with deep machine learning using mock fluxes and H-band images,
    Monthly Notices Of The Royal Astronomical Society. 520 (3): 3529-3548 (2023) [DOI] [ARXIV]
  98. Malik, U et al.,
    OzDES Reverberation Mapping Program: H beta lags from the 6-yr survey,
    Monthly Notices Of The Royal Astronomical Society. 520 (2): 2009-2023 (2023) [DOI] [ARXIV]
  99. Bonici, M et al.,
    Euclid: Forecasts from the void-lensing cross-correlation,
    Astronomy & Astrophysics. 670 A47- (2023) [DOI] [ARXIV]
  100. Zhou, RP et al.,
    Target Selection and Validation of DESI Luminous Red Galaxies,
    Astronomical Journal. 165 (2): 58- (2023) [DOI] [ARXIV]
  101. Dey, A et al.,
    DESI Observations of the Andromeda Galaxy: Revealing the Immigration History of Our Nearest Neighbor,
    Astrophysical Journal Letters. 944 (1): 1- (2023) [DOI] [ARXIV]
  102. Chaussidon, E et al.,
    Target Selection and Validation of DESI Quasars,
    Astrophysical Journal Letters. 944 (1): 107- (2023) [DOI] [ARXIV]
  103. Simon, JD et al.,
    Timing the r-process Enrichment of the Ultra-faint Dwarf Galaxy Reticulum II,
    Astrophysical Journal Letters. 944 (1): 43- (2023) [DOI] [ARXIV]
  104. Myles, J et al.,
    Mapping variations of redshift distributions with probability integral transforms,
    Monthly Notices Of The Royal Astronomical Society. 519 (2): 1792-1808 (2023) [DOI] [ARXIV]
  105. Chang, C et al.,
    Joint analysis of Dark Energy Survey Year 3 data and CMB lensing and cosmological constraints,
    Physical Review d. 107 (2): 23530- (2023) [DOI] [ARXIV]
  106. Omori, Y et al.,
    Joint analysis of Dark Energy Survey Year 3 data and CMB lensing from SPT and Planck. I. Construction of CMB lensing maps and modeling choices,
    Physical Review d. 107 (2): 23529- (2023) [DOI] [ARXIV]
  107. Abbott, TMC et al.,
    Joint analysis of Dark Energy Survey Year 3 data and CMB lensing from SPT and Planck. III. Combined cosmological constraints,
    Physical Review d. 107 (2): 23531- (2023) [DOI] [ARXIV]
  108. Chang, C et al.,
    Joint analysis of Dark Energy Survey Year 3 data and CMB lensing from SPT and Planck. II. Cross-correlation measurements and cosmological constraints,
    Physical Review d. 107 (2): (2023) [DOI] [ARXIV]
  109. Contreras, S et al.,
    Consistent and simultaneous modelling of galaxy clustering and galaxy-galaxy lensing with subhalo abundance matching,
    Monthly Notices Of The Royal Astronomical Society. 520 (1): 489-502 (2023) [DOI] [ARXIV]
  110. Grayling, M et al.,
    Core-collapse supernovae in the Dark Energy Survey: luminosity functions and host galaxy demographics,
    Monthly Notices Of The Royal Astronomical Society. 520 (1): 684-701 (2023) [DOI] [ARXIV]
  111. Lisiecki, K et al.,
    The first catalogue of spectroscopically confirmed red nuggets at z similar to 0.7 from the VIPERS survey Linking high-z red nuggets and local relics,
    Astronomy & Astrophysics. 669 A95- (2023) [DOI]
  112. Vincenzi, M et al.,
    The Dark Energy Survey Supernova Program: Cosmological biases from supernova photometric classification,
    Monthly Notices Of The Royal Astronomical Society. 518 (1): 1106-1127 (2023) [DOI] [ARXIV]
  113. Silber, JH et al.,
    The Robotic Multiobject Focal Plane System of the Dark Energy Spectroscopic Instrument (DESI),
    Astronomical Journal. 165 (1): 9-9 (2023) [DOI] [ARXIV]
  114. Meldorf, C et al.,
    The Dark Energy Survey Supernova Program results: type Ia supernova brightness correlates with host galaxy dust,
    Monthly Notices Of The Royal Astronomical Society. 518 (2): 1985-2004 (2023) [DOI] [ARXIV]
  115. Cheng, TY et al.,
    Lessons learned from the two largest Galaxy morphological classification catalogues built by convolutional neural networks,
    Monthly Notices Of The Royal Astronomical Society. 518 (2): 2794-2809 (2023) [DOI] [ARXIV]
  116. Lan, TW et al.,
    The DESI Survey Validation: Results from Visual Inspection of Bright Galaxies, Luminous Red Galaxies, and Emission-line Galaxies,
    Astrophysical Journal Letters. 943 (1): 68- (2023) [DOI] [ARXIV]
  117. Schmidt, T et al.,
    STRIDES: automated uniform models for 30 quadruply imaged quasars,
    Monthly Notices Of The Royal Astronomical Society. 518 (1): 1260-1300 (2023) [DOI] [ARXIV]
  118. Amon, A et al.,
    Consistent lensing and clustering in a low-S-8 Universe with BOSS, DES Year 3, HSC Year 1, and KiDS-1000,
    Monthly Notices Of The Royal Astronomical Society. 518 (1): 477-503 (2023) [DOI] [ARXIV]
  119. Jimenez, J et al.,
    A Novel MCT Focal Plane Array Thermally Stressed at Low Temperatures,
    Ieee Transactions On Instrumentation And Measurement. 72 4503007- (2023) [DOI]
  120. Morgan, R et al.,
    DeepZipper. II. Searching for Lensed Supernovae in Dark Energy Survey Data with Deep Learning,
    Astrophysical Journal Letters. 943 (1): 19- (2023) [DOI] [ARXIV]
  121. Webber, KB et al.,
    Chemical Analysis of the Brightest Star of the Cetus II Ultrafaint Dwarf Galaxy Candidate*,
    Astrophysical Journal Letters. 959 (2): 141-141 (2023) [DOI] [ARXIV]
  122. Bernardinelli, PH et al.,
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