LC
L. Cabayol-Garcia
astro-ph.COastro-ph.GAastro-ph.IM
On Valency
published · living versionsW_f4bx9p3w·v1 · currentpublished
Impact of Systematic Redshift Errors on the Cross-correlation of the Lyman- Forest with Quasars at Small Scales Using DESI Early Data
with Abby Bault, David Kirkby, Julien Guy, Allyson Brodzeller +57
1 version
W_c7atc93d·v1published
Preprints & journals
28 papers in the corpus · 2018–2024ForestFlow: predicting the Lyman- forest clustering from linear to nonlinear scales2409.05682v2 · J. Chaves-Montero, L. Cabayol-Garcia, M. Lokken et al.2024 · 2 citationsA&A 694, A187 (2025)
The PAU Survey: Enhancing photometric redshift estimation using DEEPz2408.16864v2 · I. V. Daza-Perilla, M. Eriksen, D. Navarro-Giron'es et al.2024 · 0 citationsarXiv
The PAU Survey: Photometric Calibration of Narrow Band Images2406.06850v1 · F. J. Castander, S. Serrano, M. Eriksen et al.2024 · 2 citationsarXiv
Euclid. I. Overview of the Euclid mission2405.13491v2 · Y. Mellier, Abdurro'uf, J. A. Acevedo Barroso et al.2024 · 622 citationsA&A 697, A1 (2025)
Impact of Systematic Redshift Errors on the Cross-correlation of the Lyman- Forest with Quasars at Small Scales Using DESI Early Data2402.18009v2 · Abby Bault, David Kirkby, Julien Guy et al.2024 · 17 citationsJCAP01(2025)130on Valency
Synthetic spectra for Lyman- forest analysis in the Dark Energy Spectroscopic Instrument2401.00303v3 · Hiram K. Herrera-Alcantar, Andrea Munoz-Guti'errez, Ting Tan et al.2023 · 18 citationsarXivon Valency
The PAU Survey: Photometric redshift estimation in deep wide fields2312.07581v1 · D. Navarro-Giron'es, E. Gaztanaga, M. Crocce et al.2023 · 9 citationsarXiv
The PAU Survey: a new constraint on galaxy formation models using the observed colour redshift relation2311.10469v2 · G. Manzoni, C. M. Baugh, P. Norberg et al.2023 · 5 citationsarXiv
The PAU Survey: Classifying low-z SEDs using Machine Learning clustering2307.13840v1 · A.L. Gonz'alez-Mor'an, P. Arrabal Haro, C. Mun'oz-Tun'on et al.2023 · 1 citationarXiv
Validation of the Scientific Program for the Dark Energy Spectroscopic Instrument2306.06307v3 · A. G. Adame, J. Aguilar, S. Ahlen et al.2023 · 251 citationsarXiv
The Early Data Release of the Dark Energy Spectroscopic Instrument2306.06308v3 · A. G. Adame, J. Aguilar, S. Ahlen et al.2023 · 409 citationsAJ 168 58 (2024)
The Dark Energy Spectroscopic Instrument: One-dimensional power spectrum from first Lyman- forest samples with Fast Fourier Transform2306.06311v3 · Corentin Ravoux, Marie Lynn Abdul-Karim, Eric Armengaud et al.2023 · 50 citationsMNRAS, Volume 526, Issue 4, December 2023, Pages 5118-5140on Valency
The Lyman- forest catalog from the Dark Energy Spectroscopic Instrument Early Data Release2306.06312v6 · C'esar Ram'irez-P'erez, Ignasi P'erez-Rafols, Andreu Font-Ribera et al.2023 · 3 citationsarXiv
Optimal 1D Ly Forest Power Spectrum Estimation -- III. DESI early data2306.06316v3 · Naim Goksel Karacaylı, Paul Martini, Julien Guy et al.2023 · 3 citationsarXiv
A neural network emulator for the Lyman- 1D flux power spectrum2305.19064v2 · Laura Cabayol-Garcia, Jon'as Chaves-Montero, Andreu Font-Ribera et al.2023 · 18 citationsarXiv
The PAU Survey & Euclid: Improving broad-band photometric redshifts with multi-task learning2209.10161v2 · L. Cabayol, M. Eriksen, J. Carretero et al.2022 · 12 citationsA&A 671, A153 (2023)
The PAU Survey: Narrow-band image photometry2206.14022v2 · S. Serrano, E. Gaztanaga, F. J. Castander et al.2022 · 11 citationsarXiv
The PAU Survey: Measurements of the 4000 Å spectral break with narrow-band photometry2201.04411v2 · Pablo Renard, Ma\lgorzata Siudek, Martin B. Eriksen et al.2022 · 14 citationsMonthly Notices of the Royal Astronomical Society, Volume 515, Issue 1, September 2022, Pages 146-166
The PAU Survey: Measurement of Narrow-band galaxy properties with Approximate Bayesian Computation2106.02651v2 · Luca Tortorelli, Malgorzata Siudek, Beatrice Moser et al.2021 · 23 citationsarXiv
The PAU survey: Estimating galaxy photometry with deep learning2104.02778v2 · Laura Cabayol, Martin Eriksen, Adam Amara et al.2021 · 18 citationsMonthly Notices of the Royal Astronomical Society Volume 506 Issue 3 September 2021 Pages 4048 to 4069
The PAU Survey: narrowband photometric redshifts using Gaussian processes2101.03723v2 · John Y. H. Soo, Benjamin Joachimi, Martin Eriksen et al.2021 · 23 citationsarXiv
The PAU Survey: Intrinsic alignments and clustering of narrow-band photometric galaxies2010.09696v2 · Harry Johnston, Benjamin Joachimi, Peder Norberg et al.2020 · 21 citationsA&A 646, A147 (2021)
The PAU Survey: An improved photo- sample in the COSMOS field2007.11132v2 · Alex Alarcon, Enrique Gaztanaga, Martin Eriksen et al.2020 · 62 citationsarXiv
The PAU survey: Ly intensity mapping forecast2006.07177v2 · Pablo Renard, Enrique Gaztanaga, Rupert Croft et al.2020 · 17 citationsarXiv
The PAU Survey: Photometric redshifts using transfer learning from simulations2004.07979v2 · M. Eriksen, A. Alarcon, L. Cabayol et al.2020 · 39 citationsarXiv
The PAU Survey: Background light estimation with deep learning techniques1910.02075v2 · Laura Cabayol-Garcia, Martin B. Eriksen, Alex Alarc'on et al.2019 · 10 citationsarXiv
The PAU Survey: Early demonstration of photometric redshift performance in the COSMOS field1809.04375v2 · M. Eriksen, A. Alarcon, E. Gaztanaga et al.2018 · 70 citationsarXiv
The PAU Survey: star-galaxy classification with multi narrow-band data1806.08545v2 · Laura Cabayol, Ignacio Sevilla-Noarbe, Enrique Fern'andez et al.2018 · 29 citationsarXiv
Career total: 42 works. 28 are in this corpus.
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