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I. Davidzon

0000-0002-2951-7519
astro-ph.GAastro-ph.COastro-ph.IM

On Valency

published · living versions
W_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

81 papers in the corpus · 2012–2023
The Farmer: A reproducible profile-fitting photometry package for deep galaxy surveys2310.07757v1 · J. R. Weaver, L. Zalesky, V. Kokorev et al.2023 · 31 citationsarXiv
Self-consistent Combined HST, K-band, and Spitzer Photometric Catalogs of the BUFFALO Survey Fields2307.04635v1 · Amanda Pagul, F. Javier S'anchez, Iary Davidzon et al.2023 · 0 citationsarXiv
COSMOS2020: The Galaxy Stellar Mass Function: the assembly and star formation cessation of galaxies at 0.2<z≤7.50.2\lt z \leq 7.52212.02512v2 · J. R. Weaver, I. Davidzon, S. Toft et al.2022 · 196 citationsA&A 677, A184 (2023)
The Art of Measuring Physical Parameters in Galaxies: A Critical Assessment of Spectral Energy Distribution Fitting Techniques2212.01915v1 · Camilla Pacifici, Kartheik G. Iyer, Bahram Mobasher et al.2022 · 175 citationsarXiv
COSMOS2020: Identification of High-z Protocluster Candidates in COSMOS2210.17334v1 · Malte Brinch, Thomas R. Greve, John R. Weaver et al.2022 · 25 citationsarXiv
A Machine Learning Approach to Predict Missing Flux Densities in Multi-band Galaxy Surveys2208.14781v1 · Nima Chartab, Bahram Mobasher, Asantha Cooray et al.2022 · 14 citationsarXiv
COSMOS2020: UV selected galaxies at z≥7.5z\geq7.52207.11740v2 · O.B. Kauffmann, O. Ilbert, J.R. Weaver et al.2022 · 24 citationsarXiv
ALMA Lensing Cluster Survey: HSTHST and SpitzerSpitzer Photometry of 33 Lensed Fields Built with CHArGE2207.07125v2 · Vasily Kokorev, Gabriel Brammer, Seiji Fujimoto et al.2022 · 67 citationsarXiv
COSMOS2020: Manifold Learning to Estimate Physical Parameters in Large Galaxy Surveys2206.06373v1 · I. Davidzon, K. Jegatheesan, O. Ilbert et al.2022 · 29 citationsA&A 665, A34 (2022)
Implications of a Temperature Dependent IMF III: Mass Growth and Quiescence2206.01750v1 · Charles L. Steinhardt, Albert Sneppen, Hagan Hensley et al.2022 · 14 citationsarXiv
Implications of a Temperature Dependent IMF II: An Updated View of the Star-Forming Main Sequence2205.14161v1 · Charles L. Steinhardt, Albert Sneppen, Basel Mostafa et al.2022 · 22 citationsarXiv
COSMOS2020: The cosmic evolution of the stellar-to-halo mass relation for central and satellite galaxies up to z~52203.10895v2 · M. Shuntov, H. J. McCracken, R. Gavazzi et al.2022 · 94 citationsA&A 664, A61 (2022)
COSMOS2020: A panchromatic view of the Universe to z∼10z\sim10 from two complementary catalogs2110.13923v1 · J. R. Weaver, O. B. Kauffmann, O. Ilbert et al.2021 · 481 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)
The Evolving Interstellar Medium of Star-Forming Galaxies, as traced by Stardust\texttt{Stardust}2109.06209v1 · Vasily Kokorev, Georgios Magdis, Iary Davidzon et al.2021 · 44 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
Hubble Frontier Field Clusters and their Parallel Fields: Photometric and Photometric Redshift Catalogs2103.01952v1 · A. Pagul, F. J. S'anchez, I. Davidzon et al.2021 · 13 citationsarXiv
Euclid preparation: XI. Mean redshift determination from galaxy redshift probabilities for cosmic shear tomography2101.02228v1 · O. Ilbert, S. de la Torre, N. Martinet et al.2021 · 0 citationsarXiv
The VLA-COSMOS 3 GHz Large Project: Evolution of specific star formation rates out to z∼5z\sim52006.13937v1 · Sarah Leslie, Eva Schinnerer, Daizhong Liu et al.2020 · 141 citationsarXiv
A Method to Distinguish Quiescent and Dusty Star-forming Galaxies with Machine Learning2002.05729v1 · Charles L. Steinhardt, John R. Weaver, Jack Maxfield et al.2020 · 28 citationsarXiv
The ALPINE-ALMA [CII] Survey: data processing, catalogs, and statistical source properties2002.00962v4 · M. Bethermin, Y. Fudamoto, M. Ginolfi et al.2020 · 274 citationsA&A 643, A2 (2020)
The BUFFALO HST Survey2001.09999v2 · Charles L. Steinhardt, Mathilde Jauzac, Ana Acebron et al.2020 · 98 citationsarXiv
Balmer Break Galaxy Candidates at z∼6z \sim 6: a Potential View on the Star-Formation Activity at z≳14z \gtrsim 141912.10954v1 · Ken Mawatari, Akio K. Inoue, Takuya Hashimoto et al.2019 · 29 citationsarXiv
X-shooter Spectroscopy and HST Imaging of 15 Ultra Massive Quiescent Galaxies at z≳2z\gtrsim21912.01619v1 · Mikkel Stockmann, Sune Toft, Anna Gallazzi et al.2019 · 43 citationsarXiv
Automated Mining of the ALMA Archive in the COSMOS Field (A3COSMOS): I. Robust ALMA Continuum Photometry Catalogs and Stellar Mass and Star Formation Properties for ~700 Galaxies at z=0.5-61910.12872v1 · Daizhong Liu, P. Lang, B. Magnelli et al.2019 · 109 citationsApJS, 2019 October 16, Volume 244, Number 2
Quiescent galaxies 1.5 billion years after the Big Bang and their progenitors1909.10540v2 · Francesco Valentino, Masayuki Tanaka, Iary Davidzon et al.2019 · 197 citationsarXiv
Comparing Galaxy Clustering in Horizon-AGN Simulated Lightcone Mocks and VIDEO Observations1909.03843v2 · Peter Hatfield, Clotilde Laigle, Matt Jarvis et al.2019 · 9 citationsarXiv
Horizon-AGN virtual observatory -- 2: Template-free estimates of galaxy properties from colours1905.13233v2 · Iary Davidzon, Clotilde Laigle, Peter L. Capak et al.2019 · 41 citationsarXiv
Bringing manifold learning and dimensionality reduction to SED fitters1905.10379v1 · Shoubaneh Hemmati, Peter Capak, Milad Pourrahmani et al.2019 · 4 citationsarXiv
The Complete Calibration of the Color-Redshift Relation (C3R2) Survey: Analysis and Data Release 21904.06394v1 · Daniel C. Masters, Daniel K. Stern, Judith G. Cohen et al.2019 · 128 citationsarXiv
Horizon-AGN virtual observatory - 1. SED-fitting performance and forecasts for future imaging surveys1903.10934v1 · C. Laigle, I. Davidzon, O. Ilbert et al.2019 · 74 citationsarXiv
An Ultra Deep Field survey with WFIRST1903.06154v2 · Anton M. Koekemoer (STScI), R. J. Foley (UCSC), D. N. Spergel et al.2019 · 3 citationsarXiv
The COSMOS-UltraVISTA stellar-to-halo mass relationship: new insights on galaxy formation efficiency out to z∼5z\sim51810.10557v3 · Louis Legrand, Henry Joy McCracken, Iary Davidzon et al.2018 · 53 citationsMonthly Notices of the Royal Astronomical Society, 2019, Volume 486, Issue 4, p.5468-5481
Photometric Redshift Calibration Requirements for WFIRST Weak Lensing Cosmology: Predictions from CANDELS1808.10458v2 · Shoubaneh Hemmati, Peter Capak, Daniel Masters et al.2018 · 42 citationsarXiv
The VIMOS Public Extragalactic Redshift Survey (VIPERS): Unbiased clustering estimate with VIPERS slit assignment1807.05999v2 · F. G. Mohammad, D. Bianchi, W. J. Percival et al.2018 · 44 citationsarXiv
The VIMOS Public Extragalactic Redshift Survey (VIPERS). The complexity of galaxy populations at 0.4< z<1.3 revealed with unsupervised machine-learning algorithms1805.09904v2 · M. Siudek, K. Ma\lek, A. Pollo et al.2018 · 1 citationA&A 617, A70 (2018)
The VIMOS Public Extragalactic Redshift Survey (VIPERS). Unsupervised classification with photometric redshifts: a method to accurately classify large galaxy samples without spectroscopic information1805.09905v2 · M. Siudek, K. Ma\lek, A. Pollo et al.2018 · 10 citationsarXiv
The VIMOS Public Extragalactic Redshift Survey (VIPERS). AGN feedback in [NeV] emitters1712.08168v1 · D. Vergani, B. Garilli, M. Polletta et al.2017 · 29 citationsA&A 620, A193 (2018)
An alternate approach to measure specific star formation rates at 2<z<71712.03959v1 · Iary Davidzon, Olivier Ilbert, Andreas L. Faisst et al.2017 · 46 citationsarXiv
SPLASH-SXDF Multi-wavelength Photometric Catalog1711.05280v2 · Vihang Mehta, Claudia Scarlata, Peter Capak et al.2017 · 52 citationsarXiv
SILVERRUSH. V. Census of Lya, [OIII]5007, Ha, and [CII]158um Line Emission with ~1000 LAEs at z=4.9-7.0 Revealed with Subaru/HSC1711.03735v2 · Yuichi Harikane, Masami Ouchi, Takatoshi Shibuya et al.2017 · 125 citationsarXiv
The VIMOS Public Extragalactic Redshift Survey (VIPERS): An unbiased estimate of the growth rate of structure at <z>=0.85\mathbf{\left<z\right>=0.85} using the clustering of luminous blue galaxies1708.00026v3 · F. G. Mohammad, B. R. Granett, L. Guzzo et al.2017 · 45 citationsA&A 610, A59 (2018)
The impact of clustering and angular resolution on far-infrared and millimeter continuum observations1703.08795v2 · Matthieu Bethermin, Hao-Yi Wu, Guilaine Lagache et al.2017 · 183 citationsA&A 607, A89 (2017)
The COSMOS2015 galaxy stellar mass function: 13 billion years of stellar mass assembly in 10 snapshots1701.02734v2 · I. Davidzon, O. Ilbert, C. Laigle et al.2017 · 420 citationsA&A 605, A70 (2017)
The VIMOS Public Extragalactic Redshift Survey (VIPERS): The growth of structures at 0.5<z<1.20.5<z<1.2 from redshift-space distortions in the clustering of the PDR-2 final sample1612.05645v3 · A. Pezzotta, S. de la Torre, J. Bel et al.2016 · 198 citationsarXiv
The VIMOS Public Extragalactic Redshift Survey (VIPERS). Gravity test from the combination of redshift-space distortions and galaxy-galaxy lensing at 0.5<z<1.20.5 < z < 1.21612.05647v2 · S. de la Torre, E. Jullo, C. Giocoli et al.2016 · 99 citationsA&A 608, A44 (2017)
The VIMOS Public Extragalactic Redshift Survey (VIPERS): PCA-based automatic cleaning and reconstruction of survey spectra1612.01825v1 · A. Marchetti, B. Garilli, B. R. Granett et al.2016 · 6 citationsA&A 600, A54 (2017)
The VIMOS Public Extragalactic Redshift Survey (VIPERS). The matter density and baryon fraction from the galaxy power spectrum at redshift 0.6<z<1.10.6<z<1.11611.07044v2 · S. Rota, B. R. Granett, J. Bel et al.2016 · 15 citationsA&A 601, A144 (2017)
The VIMOS Public Extragalactic Redshift Survey (VIPERS): Galaxy segregation inside filaments at z≃0.7z \simeq 0.71611.07045v1 · N. Malavasi, S. Arnouts, D. Vibert et al.2016 · 145 citationsarXiv
The VIMOS Public Extragalactic Redshift Survey: Measuring the growth rate of structure around cosmic voids1611.07046v1 · A. J. Hawken, B. R. Granett, A. Iovino et al.2016 · 98 citationsA&A 607, A54 (2017)
Career total: 164 works. 81 are in this corpus.Showing the 50 most recent.

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