Publications

in 2022



  1. Siudek, M et al.,
    Shaping physical properties of galaxy subtypes in the VIPERS survey: Environment matters,
    Astronomy & Astrophysics. 666 A131- (2022) [DOI]
  2. Givans, JJ et al.,
    Non-linearities in the Lyman-? forest and in its cross-correlation with dark matter halos,
    Journal Of Cosmology And Astroparticle Physics. (9): 70- (2022) [DOI] [ARXIV]
  3. Renard, P et al.,
    The PAU survey: measurements of the 4000 Å spectral break with narrow-band photometry,
    Monthly Notices Of The Royal Astronomical Society. 515 (1): 146-166 (2022) [DOI] [ARXIV]
  4. Ramirez-Perez, C et al.,
    CoLoRe: fast cosmological realisations over large volumes with multiple tracers,
    Journal Of Cosmology And Astroparticle Physics. (5): 2- (2022) [DOI] [ARXIV]
  5. Gatti, M et al.,
    Dark Energy Survey Year 3 Results: clustering redshifts - calibration of the weak lensing source redshift distributions with redMaGiC and BOSS/eBOSS,
    Monthly Notices Of The Royal Astronomical Society. 510 (1): 1223-1247 (2022) [DOI] [ARXIV]
  6. Kelsey, L et al.,
    Concerning Colour: The Effect of Environment on Type Ia Supernova Colour in the Dark Energy Survey,
    Monthly Notices Of The Royal Astronomical Society. 519 (2): 3046-3063 (2022) [DOI] [ARXIV]
  7. Hoffmann, K et al.,
    Modeling intrinsic galaxy alignment in the MICE simulation,
    Physical Review d. 106 (12): 123510- (2022) [DOI] [ARXIV]
  8. van Mierlo, SE et al.,
    Euclid preparation: XXI. Intermediate-redshift contaminants in the search for z > 6 galaxies within the Euclid Deep Survey (vol 666, A200, 2022),
    Astronomy & Astrophysics. 668 (2022) [DOI] [ARXIV]
  9. Chan, KC et al.,
    Dark Energy Survey Year 3 results: Measurement of the baryon acoustic oscillations with three-dimensional clustering,
    Physical Review d. 106 (12): 123502- (2022) [DOI] [ARXIV]
  10. Chen, A et al.,
    Constraining the baryonic feedback with cosmic shear using the DES Year-3 small-scale measurements,
    Monthly Notices Of The Royal Astronomical Society. 518 (4): 5340-5355 (2022) [DOI] [ARXIV]
  11. Pan, JM et al.,
    Photometric Properties of Jupiter Trojans Detected by the Dark Energy Survey,
    Planetary Science Journal. 3 (12): 269- (2022) [DOI] [ARXIV]
  12. Porredon, A et al.,
    Dark Energy Survey Year 3 results: Cosmological constraints from galaxy clustering and galaxy-galaxy lensing using the MAGLIM lens sample,
    Physical Review d. 106 (10): 103530- (2022) [DOI] [ARXIV]
  13. Thorne, JE et al.,
    DEVILS: cosmic evolution of SED-derived metallicities and their connection to star formation histories,
    Monthly Notices Of The Royal Astronomical Society. 517 (4): 6035-6059 (2022) [DOI]
  14. Dixon, M et al.,
    Using Host Galaxy Spectroscopy to Explore Systematics in the Standardisation of Type Ia Supernovae,
    Monthly Notices Of The Royal Astronomical Society. 517 (3): 4291-4304 (2022) [DOI] [ARXIV]
  15. Abareshi, B et al.,
    Overview of the Instrumentation for the Dark Energy Spectroscopic Instrument,
    Astronomical Journal. 164 (5): 207- (2022) [DOI] [ARXIV]
  16. van Mierlo, SE et al.,
    Euclid preparation XXI. Intermediate-redshift contaminants in the search for z > 6 galaxies within the Euclid Deep Survey,
    Astronomy & Astrophysics. 666 A200- (2022) [DOI] [ARXIV]
  17. Moriya, TJ et al.,
    Euclid: Searching for pair-instability supernovae with the Deep Survey,
    Astronomy & Astrophysics. 666 A157- (2022) [DOI] [ARXIV]
  18. Keihanen, E et al.,
    Euclid: Fast two-point correlation function covariance through linear construction,
    Astronomy & Astrophysics. 666 A129- (2022) [DOI] [ARXIV]
  19. Gatti, M et al.,
    Dark Energy Survey Year 3 results: Cosmology with moments of weak lensing mass maps,
    Physical Review d. 106 (8): 83509- (2022) [DOI] [ARXIV]
  20. Camacho, H et al.,
    Cosmic Shear in Harmonic Space from the Dark Energy Survey Year 1 Data: Compatibility with Configuration Space Results,
    Monthly Notices Of The Royal Astronomical Society. 516 (4): 5799-5815 (2022) [DOI] [ARXIV]
  21. Chen, R et al.,
    Measuring Cosmological Parameters with Type Ia Supernovae in redMaGiC Galaxies,
    Astrophysical Journal Letters. 938 (1): 62- (2022) [DOI] [ARXIV]
  22. Burke, CJ et al.,
    Dwarf AGNs from Optical Variability for the Origins of Seeds (DAVOS): insights from the dark energy survey deep fields,
    Monthly Notices Of The Royal Astronomical Society. 516 (2): 2736-2756 (2022) [DOI] [ARXIV]
  23. Loureiro, A et al.,
    KiDS and Euclid: Cosmological implications of a pseudo angular power spectrum analysis of KiDS-1000 cosmic shear tomography,
    Astronomy & Astrophysics. 665 A56- (2022) [DOI] [ARXIV]
  24. Saglia, R et al.,
    Euclid preparation: XX. The Complete Calibration of the Color-Redshift Relation survey: LBT observations and data release,
    Astronomy & Astrophysics. 664 A196- (2022) [DOI] [ARXIV]
  25. Youles, S et al.,
    The effect of quasar redshift errors on Lyman-alpha forest correlation functions,
    Monthly Notices Of The Royal Astronomical Society. 516 (1): 421-433 (2022) [DOI] [ARXIV]
  26. Pandey, S et al.,
    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,
    Physical Review d. 106 (4): 43520- (2022) [DOI] [ARXIV]
  27. Wiseman, P et al.,
    A galaxy-driven model of type Ia supernova luminosity variations,
    Monthly Notices Of The Royal Astronomical Society. 515 (3): 4587-4605 (2022) [DOI] [ARXIV]
  28. Kovács, A et al.,
    Dark Energy Survey Year 3 results: imprints of cosmic voids and superclusters in the Planck CMB lensing map,
    Monthly Notices Of The Royal Astronomical Society. 515 (3): 4417-4429 (2022) [DOI] [ARXIV]
  29. Drlica-Wagner, A et al.,
    The DECam Local Volume Exploration Survey Data Release 2,
    Astrophysical Journal Supplement Series. 261 (2): 38- (2022) [DOI] [ARXIV]
  30. Doux, C et al.,
    Dark energy survey year 3 results: cosmological constraints from the analysis of cosmic shear in harmonic space,
    Monthly Notices Of The Royal Astronomical Society. 515 (2): 1942-1972 (2022) [DOI] [ARXIV]
  31. Hashemizadeh, A et al.,
    Deep extragalactic visible legacy survey (DEVILS): the emergence of bulges and decline of disc growth since z=1,
    Monthly Notices Of The Royal Astronomical Society. 515 (1): 1175-1198 (2022) [DOI]
  32. Hashemizadeh, A et al.,
    Deep extragalactic visible legacy survey (DEVILS): Stellar mass growth by morphological type since z = 1,
    Monthly Notices Of The Royal Astronomical Society. 505 (1): 136-160 (2022) [DOI] [ARXIV]
  33. Möller, A et al.,
    The Dark Energy Survey 5-year photometrically identified Type Ia Supernovae,
    Monthly Notices Of The Royal Astronomical Society. 514 (4): 5159-5177 (2022) [DOI] [ARXIV]
  34. Wetzell, V et al.,
    Velocity Dispersions of Clusters in the Dark Energy Survey Y3 redMaPPer Catalog,
    Monthly Notices Of The Royal Astronomical Society. 514 (4): 4696-4717 (2022) [DOI] [ARXIV]
  35. Addazi, A et al.,
    Quantum gravity phenomenology at the dawn of the multi-messenger era—A review,
    Progress In Particle And Nuclear Physics. 125 103948- (2022) [DOI] [ARXIV]
  36. Lokken, M et al.,
    Superclustering with the Atacama Cosmology Telescope and Dark Energy Survey. I. Evidence for Thermal Energy Anisotropy Using Oriented Stacking,
    Astrophysical Journal Letters. 933 (2): 134- (2022) [DOI] [ARXIV]
  37. Scaramella, R et al.,
    Euclid preparation: I. The Euclid Wide Survey,
    Astronomy & Astrophysics. 662 A112- (2022) [DOI] [ARXIV]
  38. Schirmer, M et al.,
    Euclid preparation. XVIII. The NISP photometric system,
    Astronomy & Astrophysics. 662 A92- (2022) [DOI] [ARXIV]
  39. Lepori, F et al.,
    Euclid preparation XIX. Impact of magnification on photometric galaxy clustering,
    Astronomy & Astrophysics. 662 A93- (2022) [DOI] [ARXIV]
  40. Pandey, S et al.,
    Cross-correlation of Dark Energy Survey Year 3 lensing data with ACT and Planck thermal Sunyaev-Zel’dovich effect observations. II. Modeling and constraints on halo pressure profiles,
    Physical Review d. 105 (12): 123526- (2022) [DOI] [ARXIV]
  41. Gatti, M et al.,
    Cross-correlation of Dark Energy Survey Year 3 lensing data with ACT and Planck thermal Sunyaev-Zel'dovich effect observations. I. Measurements, systematics tests, and feedback model constraints,
    Physical Review d. 105 (12): 123525- (2022) [DOI] [ARXIV]
  42. DeRose, J et al.,
    Dark Energy Survey Year 3 results: Cosmology from combined galaxy clustering and lensing validation on cosmological simulations,
    Physical Review d. 105 (12): 123520- (2022) [DOI] [ARXIV]
  43. Stone, Z et al.,
    Optical variability of quasars with 20-yr photometric light curves,
    Monthly Notices Of The Royal Astronomical Society. 514 (1): 164-184 (2022) [DOI] [ARXIV]
  44. Mau, S et al.,
    Milky Way Satellite Census. IV. Constraints on Decaying Dark Matter from Observations of Milky Way Satellite Galaxies,
    Astrophysical Journal Letters. 932 (2): 128- (2022) [DOI] [ARXIV]
  45. Secco, LF et al.,
    Dark Energy Survey Year 3 Results: Three-point shear correlations and mass aperture moments,
    Physical Review d. 105 (10): 103537- (2022) [DOI] [ARXIV]
  46. Cawthon, R et al.,
    Dark Energy Survey Year 3 results: calibration of lens sample redshift distributions using clustering redshifts with BOSS/eBOSS,
    Monthly Notices Of The Royal Astronomical Society. 513 (4): 5517-5539 (2022) [DOI] [ARXIV]
  47. Akhazhanov, A et al.,
    Finding quadruply imaged quasars with machine learning - I. Methods,
    Monthly Notices Of The Royal Astronomical Society. 513 (2): 2407-2421 (2022) [DOI] [ARXIV]
  48. Prat, J et al.,
    Dark energy survey year 3 results: High-precision measurement and modeling of galaxy-galaxy lensing,
    Physical Review d. 105 (8): 83528- (2022) [DOI] [ARXIV]
  49. Sanchez, C et al.,
    Dark Energy Survey Year 3 results: Exploiting small-scale information with lensing shear ratios,
    Physical Review d. 105 (8): 83529- (2022) [DOI] [ARXIV]
  50. Upham, RE et al.,
    Euclid: Covariance of weak lensing pseudo-$C_\ell$ estimates. Calculation, comparison to simulations, and dependence on survey geometry,
    Astronomy & Astrophysics. 660 A114- (2022) [DOI] [ARXIV]
  51. Nesseris, S et al.,
    Euclid: Forecast constraints on consistency tests of the ∧cDM model,
    Astronomy & Astrophysics. 660 A67- (2022) [DOI] [ARXIV]
  52. Somboonpanyakul, T et al.,
    The Evolution of AGN Activity in Brightest Cluster Galaxies,
    Astronomical Journal. 163 (4): 146- (2022) [DOI] [ARXIV]
  53. Cagliari, MS et al.,
    Euclid: Constraining ensemble photometric redshift distributions with stacked spectroscopy,
    Astronomy & Astrophysics. 660 A9- (2022) [DOI] [ARXIV]
  54. 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): (2022) [DOI] [ARXIV]
  55. Vietri, G et al.,
    The Type II AGN-host galaxy connection Insights from the VVDS and VIPERS surveys,
    Astronomy & Astrophysics. 659 A129- (2022) [DOI] [ARXIV]
  56. O'Donnell, JH et al.,
    The Dark Energy Survey Bright Arcs Survey: Candidate Strongly Lensed Galaxy Systems from the Dark Energy Survey 5000 Square Degree Footprint,
    Astrophysical Journal Supplement Series. 259 (1): 27- (2022) [DOI] [ARXIV]
  57. Wang, B et al.,
    Deep Learning of Dark Energy Spectroscopic Instrument Mock Spectra to Find Damped Ly ? Systems,
    Astrophysical Journal Supplement Series. 259 (1): 28- (2022) [DOI] [ARXIV]
  58. Morgan, R et al.,
    DeepZipper: A Novel Deep-learning Architecture for Lensed Supernovae Identification,
    Astrophysical Journal Letters. 927 (1): 109- (2022) [DOI] [ARXIV]
  59. Guise, E et al.,
    Multiwavelength optical and NIR variability analysis of the Blazar PKS 0027-426,
    Monthly Notices Of The Royal Astronomical Society. 510 (3): 3145-3177 (2022) [DOI] [ARXIV]
  60. Golden-Marx, JB et al.,
    The Observed Evolution of the Stellar Mass-Halo Mass Relation for Brightest Central Galaxies,
    Astrophysical Journal Letters. 928 (1): 28- (2022) [DOI] [ARXIV]
  61. Ennesser, L et al.,
    The impact and mitigation of broad-absorption-line quasars in Lyman alpha forest correlations,
    Monthly Notices Of The Royal Astronomical Society. 511 (3): 3514-3523 (2022) [DOI] [ARXIV]
  62. Rodríguez-Monroy, M et al.,
    Dark Energy Survey Year 3 results: Galaxy clustering and systematics treatment for lens galaxy samples,
    Monthly Notices Of The Royal Astronomical Society. 511 (2): 2665-2687 (2022) [DOI] [ARXIV]
  63. Zürcher, D et al.,
    Dark energy survey year 3 results: Cosmology with peaks using an emulator approach,
    Monthly Notices Of The Royal Astronomical Society. 511 (2): 2075-2104 (2022) [DOI] [ARXIV]
  64. Cordero, JP et al.,
    Dark Energy Survey Year 3 results: Marginalization over redshift distribution uncertainties using ranking of discrete realizations,
    Monthly Notices Of The Royal Astronomical Society. 511 (2): 2170-2185 (2022) [DOI] [ARXIV]
  65. Moneti, A et al.,
    Euclid preparation: XVII. Cosmic Dawn Survey: Spitzer Space Telescope observations of the Euclid deep fields and calibration fields,
    Astronomy & Astrophysics. 658 A126- (2022) [DOI] [ARXIV]
  66. Abbott, TMC et al.,
    Dark Energy Survey Year 3 results: A 2.7% measurement of baryon acoustic oscillation distance scale at redshift 0.835,
    Physical Review d. 105 (4): 43512- (2022) [DOI] [ARXIV]
  67. Thorne, JE et al.,
    Deep Extragalactic VIsible Legacy Survey (DEVILS): SED fitting in the D10-COSMOS field and the evolution of the stellar mass function and SFR-M relation,
    Monthly Notices Of The Royal Astronomical Society. 505 (1): 540-567 (2022) [DOI] [ARXIV]
  68. Kovacs, A et al.,
    The DES view of the Eridanus supervoid and the CMB cold spot,
    Monthly Notices Of The Royal Astronomical Society. 510 (1): 216-229 (2022) [DOI] [ARXIV]
  69. Leauthaud, A et al.,
    Lensing without borders - I. A blind comparison of the amplitude of galaxy-galaxy lensing between independent imaging surveys,
    Monthly Notices Of The Royal Astronomical Society. 510 (4): 6150-6189 (2022) [DOI] [ARXIV]
  70. Bernardinelli, PH et al.,
    A Search of the Full Six Years of the Dark Energy Survey for Outer Solar System Objects,
    Astrophysical Journal Supplement Series. 258 (2): 41- (2022) [DOI] [ARXIV]
  71. Tavangar, K et al.,
    From the Fire: A Deeper Look at the Phoenix Stream,
    Astrophysical Journal Letters. 925 (2): 118- (2022) [DOI] [ARXIV]
  72. Varga, TN et al.,
    Synthetic galaxy clusters and observations based on Dark Energy Survey Year 3 Data,
    Monthly Notices Of The Royal Astronomical Society. 509 (4): 4865-4885 (2022) [DOI] [ARXIV]
  73. Lee, S et al.,
    Probing gravity with the DES-CMASS sample and BOSS spectroscopy,
    Monthly Notices Of The Royal Astronomical Society. 509 (4): 4982-4996 (2022) [DOI] [ARXIV]
  74. Holwerda, BW et al.,
    Deep Extragalactic Visible Legacy Survey: Data Release 1 blended spectra search for candidate strong gravitational lenses,
    Monthly Notices Of The Royal Astronomical Society. 510 (2): 2305-2326 (2022) [DOI] [ARXIV]
  75. Thorne, JE et al.,
    Deep Extragalactic VIsible Legacy Survey (DEVILS): identification of AGN through SED fitting and the evolution of the bolometric AGN luminosity function,
    Monthly Notices Of The Royal Astronomical Society. 509 (4): 4940-4961 (2022) [DOI] [ARXIV]
  76. Hamaus, N et al.,
    Euclid: Forecasts from redshift-space distortions and the Alcock-Paczynski test with cosmic voids,
    Astronomy & Astrophysics. 658 A20- (2022) [DOI] [ARXIV]
  77. Ilic, S et al.,
    Euclid preparation: XV. Forecasting cosmological constraints for the Euclid and CMB joint analysis,
    Astronomy & Astrophysics. 657 A91- (2022) [DOI] [ARXIV]
  78. Bretonnière, H et al.,
    Euclid preparation: XIII. Forecasts for galaxy morphology with the Euclid Survey using deep generative models,
    Astronomy & Astrophysics. 657 A90- (2022) [DOI] [ARXIV]
  79. Borlaff, AS et al.,
    Euclid preparation: XVI. Exploring the ultra-low surface brightness Universe with Euclid /VIS,
    Astronomy & Astrophysics. 657 A92- (2022) [DOI] [ARXIV]
  80. Secco, LF et al.,
    Dark Energy Survey Year 3 results: Cosmology from cosmic shear and robustness to modeling uncertainty,
    Physical Review d. 105 (2): 23515- (2022) [DOI] [ARXIV]
  81. Amon, A et al.,
    Dark Energy Survey Year 3 results: Cosmology from cosmic shear and robustness to data calibration,
    Physical Review d. 105 (2): 23514- (2022) [DOI] [ARXIV]
  82. Karacayli, NG et al.,
    Optimal 1D Ly alpha forest power spectrum estimation - II. KODIAQ, SQUAD, and XQ-100,
    Monthly Notices Of The Royal Astronomical Society. 509 (2): 2842-2855 (2022) [DOI] [ARXIV]
  83. Lee, S et al.,
    Galaxy-galaxy lensing with the DES-CMASS catalogue: measurement and constraints on the galaxy-matter cross-correlation,
    Monthly Notices Of The Royal Astronomical Society. 509 (2): 2033-2047 (2022) [DOI] [ARXIV]
  84. Rosell, AC et al.,
    Dark energy survey year 3 results: Galaxy sample for BAO measurement,
    Monthly Notices Of The Royal Astronomical Society. 509 (1): 778-799 (2022) [DOI] [ARXIV]
  85. Zacharegkas, G et al.,
    Dark Energy Survey Year 3 results: Galaxy-halo connection from galaxy-galaxy lensing,
    Monthly Notices Of The Royal Astronomical Society. 509 (3): 3119-3147 (2022) [DOI] [ARXIV]
  86. Chabanier, S et al.,
    The Completed Sloan Digital Sky Survey IV Extended Baryon Oscillation Spectroscopic Survey: The Damped Ly alpha Systems Catalog,
    Astrophysical Journal Supplement Series. 258 (1): 18- (2022) [DOI] [ARXIV]
  87. Everett, S et al.,
    Dark Energy Survey Year 3 Results: Measuring the Survey Transfer Function with Balrog,
    Astrophysical Journal Supplement Series. 258 (1): 15- (2022) [DOI] [ARXIV]
  88. MacCrann, N et al.,
    Dark Energy Survey Y3 results: Blending shear and redshift biases in image simulations,
    Monthly Notices Of The Royal Astronomical Society. 509 (3): 3371-3394 (2022) [DOI] [ARXIV]
  89. Hartley, WG et al.,
    Dark Energy Survey Year 3 Results: Deep Field optical + near-infrared images and catalogue,
    Monthly Notices Of The Royal Astronomical Society. 509 (3): 3547-3579 (2022) [DOI] [ARXIV]
  90. Penton, A et al.,
    OzDES reverberation mapping program: Lag recovery reliability for 6-yr C iv analysis,
    Monthly Notices Of The Royal Astronomical Society. 509 (3): 4008-4023 (2022) [DOI] [ARXIV]
  91. Davies, LJM et al.,
    Deep Extragalactic VIsible Legacy Survey (DEVILS): evolution of the sigma(SFR)-M relation and implications for self-regulated star formation,
    Monthly Notices Of The Royal Astronomical Society. 509 (3): 4392-4410 (2022) [DOI] [ARXIV]
  92. Contarini, S et al.,
    Euclid: Cosmological forecasts from the void size function,
    Astronomy & Astrophysics. 667 A162- (2022) [DOI] [ARXIV]
  93. Abbott, TMC et al.,
    Dark Energy Survey Year 3 results: Cosmological constraints from galaxy clustering and weak lensing,
    Physical Review d. 105 (2): 23520- (2022) [DOI] [ARXIV]