EF
E. Fernandez
astro-ph.COastro-ph.GAastro-ph.IMastro-ph.HEastro-phhep-exgr-qchep-phastro-ph.SR
On Valency
published · living versionsW_6gyhc5ze·v1 · currentpublished
Dark Energy Survey Year 1 Results: Cosmological Constraints from Galaxy Clustering and Weak Lensing
with DES Collaboration, T. M. C. Abbott, F. B. Abdalla, A. Alarcon +195
1 version
W_t5ggqn9c·v1published
W_c4syvjnq·v1published
Preprints & journals
102 papers in the corpus · 1985–2026The PAU Survey and Euclid: Analysing photometric redshifts from realistically simulated narrow-band photometry with Flagship 22606.25812v1 · A. Wittje, H. Hildebrandt, D. Navarro-Giron'es et al.2026 · 0 citationsarXiv
The PAU Survey: Measuring intrinsic galaxy alignments in deep wide fields as a function of colour, luminosity, stellar mass and redshift2505.15470v3 · D. Navarro-Giron'es, M. Crocce, E. Gaztanaga et al.2025 · 6 citationsMonthly Notices of the Royal Astronomical Society, Volume 545, Issue 2, 2026
ANNZ+: an enhanced photometric redshift estimation algorithm with applications on the PAU Survey2409.09981v2 · Imdad Mahmud Pathi, John Y. H. Soo, Mao Jie Wee et al.2024 · 4 citationsarXiv
The PAU Survey: The quasar UV and Ly luminosity functions at 2407.19020v3 · Alberto Torralba-Torregrosa, Pablo Renard, Daniele Spinoso et al.2024 · 4 citationsA&A 690, A388 (2024)
The PAU Survey: Photometric Calibration of Narrow Band Images2406.06850v1 · F. J. Castander, S. Serrano, M. Eriksen et al.2024 · 2 citationsarXiv
The PAU Survey: galaxy stellar population properties estimates with narrowband data2405.20385v2 · Benjamin Csizi, Luca Tortorelli, Ma\lgorzata Siudek et al.2024 · 8 citationsA&A 689, A37 (2024)
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
The PAU Survey: Close galaxy pairs identification and analysis2305.01952v1 · E. J. Gonzalez, F. Rodriguez, D. Navarro-Giron'es et al.2023 · 6 citationsarXiv
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
Dark Energy Survey Year 3 Results: Cosmological Constraints from Galaxy Clustering and Weak Lensing2105.13549v3 · T. M. C. Abbott, M. Aguena, A. Alarcon et al.2021 · 1,121 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
Observation and Confirmation of Nine Strong Lensing Systems in Dark Energy Survey Year 1 Data1911.02162v1 · B. Nord, E. Buckley-Geer, H. Lin et al.2019 · 8 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 Physics of the Accelerating Universe Camera1902.03623v2 · Cristobal Padilla, Francisco J. Castander, Alex Alarcon et al.2019 · 44 citationsarXiv
More out of less: an excess integrated Sachs-Wolfe signal from supervoids mapped out by the Dark Energy Survey1811.07812v2 · A. Kov'acs, C. S'anchez, J. Garc'ia-Bellido et al.2018 · 72 citationsarXiv
First Cosmology Results using Type Ia Supernovae from the Dark Energy Survey: Constraints on Cosmological Parameters1811.02374v4 · T. M. C. Abbott, S. Allam, P. Andersen et al.2018 · 273 citationshttps://ui.adsabs.harvard.edu/abs/2019ApJ...872L..30A
First Cosmology Results Using Type Ia Supernovae From the Dark Energy Survey: Analysis, Systematic Uncertainties, and Validation1811.02377v5 · D. Brout, D. Scolnic, R. Kessler et al.2018 · 133 citationsThe Astrophysical Journal, Volume 874, Issue 2, article id. 150, 29 pp. (2019)
Dark Energy Survey Year 1 Results: Constraints on Extended Cosmological Models from Galaxy Clustering and Weak Lensing1810.02499v2 · T. M. C. Abbott, F. B. Abdalla, S. Avila et al.2018 · 386 citationsPhys. Rev. D 99, 123505 (2019)
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: Spectral features and galaxy clustering using simulated narrow band photometry1807.03260v1 · L. Stothert, P. Norberg, C. M. Baugh et al.2018 · 24 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
The PAU Survey: A Forward Modeling Approach for Narrow-band Imaging1805.05340v1 · Luca Tortorelli, Lorenza Della Bruna, Jorg Herbel et al.2018 · 25 citationsarXiv
Star-galaxy classification in the Dark Energy Survey Y1 dataset1805.02427v3 · I. Sevilla-Noarbe, B. Hoyle, M. J. Marcha et al.2018 · 37 citationsMonthly Notices of the Royal Astronomical Society, 2018, Volume 481, Issue 4, p.5451-5469
The Dark Energy Survey Data Release 11801.03181v3 · T. M. C. Abbott, F. B. Abdalla, S. Allam et al.2018 · 491 citationsarXiv
Dark Energy Survey Year 1 Results: A Precise H0 Measurement from DES Y1, BAO, and D/H Data1711.00403v1 · T. M. C. Abbott, F. B. Abdalla, J. Annis et al.2017 · 267 citationsarXiv
A gravitational-wave standard siren measurement of the Hubble constant1710.05835v1 · B. P. Abbott, R. Abbott, T. D. Abbott et al.2017 · 1,199 citationsarXiv
Density split statistics: Cosmological constraints from counts and lensing in cells in DES Y1 and SDSS data1710.05045v2 · D. Gruen, O. Friedrich, E. Krause et al.2017 · 120 citationsPhys. Rev. D 98, 023507 (2018)
Dark Energy Survey Year 1 Results: Cosmological Constraints from Galaxy Clustering and Weak Lensing1708.01530v3 · T. M. C. Abbott, F. B. Abdalla, A. Alarcon et al.2017 · 1,213 citationsPhys. Rev. D 98, 043526 (2018)on Valency
Dark Energy Survey Year 1 Results: Redshift distributions of the weak lensing source galaxies1708.01532v2 · B. Hoyle, D. Gruen, G. M. Bernstein et al.2017 · 200 citationsarXiv
Dark Energy Survey Year 1 Results: Weak Lensing Shape Catalogues1708.01533v2 · J. Zuntz, E. Sheldon, S. Samuroff et al.2017 · 202 citationsarXiv
Dark Energy Survey Year 1 Results: Curved-Sky Weak Lensing Mass Map1708.01535v2 · C. Chang, A. Pujol, B. Mawdsley et al.2017 · 96 citationsarXiv
Dark Energy Survey Year 1 Results: Galaxy clustering for combined probes1708.01536v2 · J. Elvin-Poole, M. Crocce, A. J. Ross et al.2017 · 151 citationsPhys. Rev. D 98, 042006 (2018)
Dark Energy Survey Year 1 Results: Galaxy-Galaxy Lensing1708.01537v2 · J. Prat, C. S'anchez, Y. Fang et al.2017 · 115 citationsPhys. Rev. D 98, 042005 (2018)
Dark Energy Survey Year 1 Results: Cosmological Constraints from Cosmic Shear1708.01538v2 · M. A. Troxel, N. MacCrann, J. Zuntz et al.2017 · 657 citationsPhys. Rev. D 98, 043528 (2018)
Astrometric calibration and performance of the Dark Energy Camera1703.01679v1 · G. M. Bernstein, R. Armstrong, A. A. Plazas et al.2017 · 68 citationsarXivon Valency
Weak lensing magnification in the Dark Energy Survey Science Verification Data1611.10326v2 · M. Garcia-Fernandez, E. S'anchez, I. Sevilla-Noarbe et al.2016 · 32 citationsarXiv
The DESI Experiment Part I: Science,Targeting, and Survey Design1611.00036v2 · Amir Aghamousa, Jessica Aguilar, Steve Ahlen et al.2016 · 1,265 citationsarXiv
The DESI Experiment Part II: Instrument Design1611.00037v2 · Amir Aghamousa, Jessica Aguilar, Steve Ahlen et al.2016 · 227 citationsarXiv
Nearest Neighbor: The Low-Mass Milky Way Satellite Tucana III1610.05301v1 · J. D. Simon, T. S. Li, A. Drlica-Wagner et al.2016 · 114 citationsAstrophys.J.838:11,2017
Supplement: Localization and broadband follow-up of the gravitational-wave transient GW1509141604.07864v3 · B. P. Abbott, R. Abbott, T. D. Abbott et al.2016 · 59 citationsThe Astrophysical Journal Supplement Series, 225:8 (15pp), 2016 July
Cosmology from large scale galaxy clustering and galaxy-galaxy lensing with Dark Energy Survey Science Verification data1604.07871v1 · Juliana Kwan, Carles Sanchez, Joseph Clampitt et al.2016 · 69 citationsarXiv
Career total: 442 works. 102 are in this corpus.Showing the 50 most recent.
Profile built from the corpus for this byline.
Author records are still filling in while the Hub is in alpha. If this is your page, you'll be able to claim it soon. Spot a mistake? Tell us.