JC
J. Coupon
astro-ph.COastro-ph.GAastro-ph.IMastro-ph.HEastro-phastro-ph.SRgr-qcastro-ph.EPphysics.data-anstat.CO
On Valency
published · living versionsW_4n5dfj43·v1 · currentpublished
The COSMOS2015 Catalog: Exploring the 1<z<6 Universe with half a million galaxies
with C. Laigle, H. J. McCracken, O. Ilbert, B. C. Hsieh +32
1 version
Preprints & journals
181 papers in the corpus · 2007–2025Euclid preparation. Estimating galaxy physical properties using CatBoost chained regressors with attention2504.13020v1 · A. Humphrey, P. A. C. Cunha, L. Bisigello et al.2025 · 0 citationsA&A 702, A74 (2025)
Euclid preparation: 6x2 pt analysis of Euclid's spectroscopic and photometric data sets2409.18882v1 · L. Paganin, M. Bonici, C. Carbone et al.2024 · 0 citationsarXiv
Euclid preparation. The Cosmic Dawn Survey (DAWN) of the Euclid Deep and Auxiliary Fields2408.05275v3 · C. J. R. McPartland, L. Zalesky, J. R. Weaver et al.2024 · 16 citationsA&A 695, A259 (2025)
Cluster candidates with massive quiescent galaxies at 2406.02849v2 · Tomokazu Kiyota, Makoto Ando, Masayuki Tanaka et al.2024 · 8 citationsThe Astrophysical Journal, 980:104 (15pp), 2025 February 10
Euclid preparation. Sensitivity to neutrino parameters2405.06047v1 · M. Archidiacono, J. Lesgourgues, S. Casas et al.2024 · 37 citationsA&A 693, A58 (2025)
Euclid preparation. LIII. LensMC, weak lensing cosmic shear measurement with forward modelling and Markov Chain Monte Carlo sampling2405.00669v4 · G. Congedo, L. Miller, A. N. Taylor et al.2024 · 13 citationsA&A 691, A319 (2024)
Euclid preparation. Improving cosmological constraints using a new multi-tracer method with the spectroscopic and photometric samples2404.12157v1 · F. Dournac, A. Blanchard, S. Ili'c et al.2024 · 5 citationsA&A 690, A30 (2024)
Euclid preparation. XLII. A unified catalogue-level reanalysis of weak lensing by galaxy clusters in five imaging surveys2404.08036v1 · M. Sereno, S. Farrens, L. Ingoglia et al.2024 · 0 citationsarXiv
Euclid preparation. XLIII. Measuring detailed galaxy morphologies for Euclid with machine learning2402.10187v2 · B. Aussel, S. Kruk, M. Walmsley et al.2024 · 0 citationsA&A 689, A274 (2024)
Euclid preparation. Optical emission-line predictions of intermediate-z galaxy populations in GAEA for the Euclid Deep and Wide Surveys2402.03436v1 · L. Scharr'e, M. Hirschmann, G. De Lucia et al.2024 · 0 citationsA&A 689, A276 (2024)
Euclid preparation XLVI. The Near-IR Background Dipole Experiment with Euclid2401.17945v2 · A. Kashlinsky, R. G. Arendt, M. L. N. Ashby et al.2024 · 1 citationarXiv
Euclid preparation: XLVIII. The pre-launch Science Ground Segment simulation framework2401.01452v2 · S. Serrano, P. Hudelot, G. Seidel et al.2024 · 0 citationsA&A 690, A103 (2024)
Euclid preparation. XLI. Galaxy power spectrum modelling in real space2312.00679v2 · A. Pezzotta, C. Moretti, M. Zennaro et al.2023 · 2 citationsA&A 687, A216 (2024)
Euclid Preparation. XXXVII. Galaxy colour selections with Euclid and ground photometry for cluster weak-lensing analyses2311.16239v2 · G. F. Lesci, M. Sereno, M. Radovich et al.2023 · 0 citationsarXiv
Euclid preparation. Modelling spectroscopic clustering on mildly nonlinear scales in beyond-CDM models2311.13529v3 · B. Bose, P. Carrilho, M. Marinucci et al.2023 · 15 citationsA&A 689, A275 (2024)
Euclid preparation. Spectroscopy of active galactic nuclei with NISP2311.12096v2 · E. Lusso, S. Fotopoulou, M. Selwood et al.2023 · 0 citationsarXiv
Euclid Preparation. TBD. Impact of magnification on spectroscopic galaxy clustering2311.03168v1 · G. Jelic-Cizmek, F. Sorrenti, F. Lepori et al.2023 · 0 citationsarXiv
Euclid preparation. XXXIX. The effect of baryons on the Halo Mass Function2311.01465v2 · T. Castro, S. Borgani, M. Costanzi et al.2023 · 0 citationsarXiv
Euclid preparation. LII. Forecast impact of super-sample covariance on 3x2pt analysis with Euclid2310.15731v2 · D. Sciotti, S. Gouyou Beauchamps, V. F. Cardone et al.2023 · 13 citationsA&A 691, A318 (2024)
Euclid preparation. XXXI. The effect of the variations in photometric passbands on photometric-redshift accuracy2310.14716v1 · St'ephane Paltani, J. Coupon, W. G. Hartley et al.2023 · 9 citationsA&A 681, A66 (2024)
Euclid preparation. XXXIV. The effect of linear redshift-space distortions in photometric galaxy clustering and its cross-correlation with cosmic shear2309.00052v3 · K.Tanidis, V.F.Cardone, M.Martinelli et al.2023 · 11 citationsarXiv
Euclid Preparation XXXIII. Characterization of convolutional neural networks for the identification of galaxy-galaxy strong lensing events2307.08736v2 · L. Leuzzi, M. Meneghetti, G. Angora et al.2023 · 0 citationsAstronomy & Astrophysics,2024, 681, A68
Euclid preparation. XXIX. Water ice in spacecraft part I: The physics of ice formation and contamination2305.10107v2 · M. Schirmer, K. Thurmer, B. Bras et al.2023 · 10 citationsA&A 675, A142 (2023)
Euclid preparation. XXVII. A UV-NIR spectral atlas of compact planetary nebulae for wavelength calibration2303.15525v2 · K. Paterson, M. Schirmer, Y. Copin et al.2023 · 10 citationsA&A 674, A172 (2023)
Euclid preparation. XXX. Performance assessment of the NISP Red-Grism through spectroscopic simulations for the Wide and Deep surveys2302.09372v3 · L. Gabarra, C. Mancini, L. Rodriguez Munoz et al.2023 · 2 citationsAstronomy and Astrophysics (2023)
Euclid preparation: XXVIII. Modelling of the weak lensing angular power spectrum2302.04507v1 · A. C. Deshpande, T. Kitching, A. Hall et al.2023 · 2 citationsarXiv
Combining the CLAUDS & HSC-SSP surveys: U+grizy(+YJHKs) photometry and photometric redshifts for 18M galaxies in the 20 deg2 of the HSC-SSP Deep and ultraDeep fields2301.13750v1 · G. Desprez, V. Picouet, T. Moutard et al.2023 · 30 citationsarXiv
Euclid Preparation. XXVIII. Forecasts for ten different higher-order weak lensing statistics2301.12890v2 · V. Ajani, M. Baldi, A. Barthelemy et al.2023 · 61 citationsA&A 675, A120 (2023)
Euclid preparation. XXVII. Covariance model validation for the 2-point correlation function of galaxy clusters2211.12965v1 · A. Fumagalli, A. Saro, S. Borgani et al.2022 · 3 citationsarXiv
Euclid preparation. XXV. The Euclid Morphology Challenge -- Towards model-fitting photometry for billions of galaxies2209.12906v1 · E. Merlin, M. Castellano, H. Bretonniere et al.2022 · 26 citationsA&A 671, A101 (2023)
Euclid preparation XXVI. The Euclid Morphology Challenge. Towards structural parameters for billions of galaxies2209.12907v2 · H.Bretonniere, U.Kuchner, M.Huertas-Company et al.2022 · 28 citationsA&A 671, A102 (2023)
Euclid preparation: XXII. Selection of Quiescent Galaxies from Mock Photometry using Machine Learning2209.13074v2 · A.Humphrey, L.Bisigello, P.A.C.Cunha et al.2022 · 22 citationsA&A 671, A99 (2023)
Euclid preparation. XXIV. Calibration of the halo mass function in CDM cosmologies2208.02174v2 · T. Castro, A. Fumagalli, R. E. Angulo et al.2022 · 44 citationsA&A 671, A100 (2023)
Euclid preparation: XXIII. Derivation of galaxy physical properties with deep machine learning using mock fluxes and H-band images2206.14944v2 · L. Bisigello, C.J. Conselice, M. Baes et al.2022 · 42 citationsarXiv
Euclid preparation: XX. The Complete Calibration of the Color-Redshift Relation survey: LBT observations and data release2206.01620v3 · R. Saglia, S. De Nicola, M. Fabricius et al.2022 · 14 citationsA&A 664, A196 (2022)
MUSUBI (MegaCam Ultra-deep Survey: -Band Imaging)-Data for the COSMOS and SXDS Fields2205.11546v1 · Wei-Hao Wang, Sebastien Foucaud, Bau-Ching Hsieh et al.2022 · 4 citationsarXiv
Euclid preparation. XXI. Intermediate-redshift contaminants in the search for galaxies within the Euclid Deep Survey2205.02871v4 · S. E. van Mierlo, K. I. Caputi, M. Ashby et al.2022 · 0 citationsA&A 666, A200 (2022)
Euclid preparation. XVIII. The NISP photometric system2203.01650v2 · M. Schirmer, K. Jahnke, G. Seidel et al.2022 · 88 citationsA&A 662, A92 (2022)
HSC Year 1 cosmology results with the minimal bias method: HSCBOSS galaxy-galaxy weak lensing and BOSS galaxy clustering2111.10966v1 · Sunao Sugiyama, Masahiro Takada, Hironao Miyatake et al.2021 · 21 citationsarXiv
Cosmological inference from the emulator based halo model II: Joint analysis of galaxy-galaxy weak lensing and galaxy clustering from HSC-Y1 and SDSS2111.02419v2 · Hironao Miyatake, Sunao Sugiyama, Masahiro Takada et al.2021 · 6 citationsarXiv
Euclid preparation: XVIII. Cosmic Dawn Survey. Spitzer observations of the Euclid deep fields and calibration fields2110.13928v1 · Andrea Moneti, H.J. McCracken, M. Shuntov et al.2021 · 1 citationA&A 658, A126 (2022)
Euclid preparation: XIX. Impact of magnification on photometric galaxy clustering2110.05435v2 · F. Lepori, I. Tutusaus, C. Viglione et al.2021 · 51 citationsA&A 662, A93 (2022)
Ionizing radiation from AGNs at z>3.3 with the Subaru Hyper Suprime-Cam Survey and the CFHT Large Area U-band Deep Survey (CLAUDS)2109.10138v1 · Ikuru Iwata, Marcin Sawicki, Akio K. Inoue et al.2021 · 14 citationsarXiv
Euclid preparation: XVI. Exploring the ultra low-surface brightness Universe with Euclid/VIS2108.10321v1 · A. S. Borlaff, P. G'omez-Alvarez, B. Altieri et al.2021 · 43 citationsA&A 657, A92 (2022)
GOLDRUSH. IV. Luminosity Functions and Clustering Revealed with ~4,000,000 Galaxies at z~2-7: Galaxy-AGN Transition, Star Formation Efficiency, and Implication for Evolution at z>102108.01090v3 · Yuichi Harikane, Yoshiaki Ono, Masami Ouchi et al.2021 · 202 citationsarXiv
Euclid preparation: I. The Euclid Wide Survey2108.01201v1 · R. Scaramella, J. Amiaux, Y. Mellier et al.2021 · 8 citationsA&A 662, A112 (2022)
Searching for low-redshift faint galaxies with MMT/Hectospec2107.11682v3 · Cheng Cheng, Jia-Sheng Huang, Christopher N. A. Willmer et al.2021 · 5 citationsarXiv
Euclid Preparation: XIV. The Complete Calibration of the Color-Redshift Relation (C3R2) Survey: Data Release 32106.11367v2 · S. A. Stanford, D. Masters, B. Darvish et al.2021 · 38 citationsarXiv
preparation: XV. Forecasting cosmological constraints for the and CMB joint analysis2106.08346v2 · S. Ili'c, N. Aghanim, C. Baccigalupi et al.2021 · 74 citationsA&A 657, A91 (2022)
Evolution of the galaxy merger fraction in the CLAUDS+HSC-SSP deep fields2106.04266v1 · Nathalie Thibert, Marcin Sawicki, Andy Goulding et al.2021 · 9 citationsarXiv
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