RA
Raul Abramo
astro-ph.COastro-ph.GAgr-qcastro-phhep-phastro-ph.IMhep-thastro-ph.HEcs.LGastro-ph.SR
On Valency
published · living versionsW_tphs9y9q·v1 · currentpublished
Luminosity-weighted galaxy and gravitational wave cross-correlations
with Charles Dalang, Isabela Santiago de Matos, João Ferri, Tessa Baker
1 version
Preprints & journals
97 papers in the corpus · 1995–2026Where the Forest Goes Dark: Halo-centered Characterization of High Column Density Systems with IllustrisTNG2609.19235v1 · Victor R. Soares da Silva, Daniel L'opez-Cano, L. Raul Abramo et al.2026 · 0 citationsarXiv
OJALÁ: Optimizing J-PAS Astronomy for Large-scale Analysis. A foundation model for the SED of galaxies, QSOs and stars2604.00661v1 · G. Mart'inez-Solaeche, R. M. Gonz'alez Delgado, R. Garc'ia-Benito et al.2026 · 0 citationsarXiv
J-PAS: unprecedented precision in stellar populations of diffuse tidal features2603.22166v1 · Sepideh Eskandarlou, Mohammad Akhlaghi, Francisco Arizo-Borillo et al.2026 · 0 citationsarXiv
J-PAS: Semi-Supervised Sim-to-Obs Transfer for Robust Star--Galaxy--Quasar Classification2602.13902v1 · Daniel L'opez-Cano, L. Raul Abramo, L. Nakazono et al.2026 · 0 citationsarXiv
Predicting galaxy bias using machine learning2602.05881v1 · Catalina Riveros-Jara, Antonio D. Montero-Dorta, Nat'alia V. N. Rodrigues et al.2026 · 1 citationarXiv
The miniJPAS survey quasar selection V: combined algorithm2507.11380v1 · Ignasi P'erez-Rafols, L. Raul Abramo, Gin'es Mart'inez-Solaeche et al.2025 · 1 citationarXiv
J-PAS and PFS surveys in the era of dark energy and neutrino mass measurements2505.04275v3 · Fuxing Qin, Yuting Wang, Gong-Bo Zhao et al.2025 · 3 citationsApJ,997,251(2026)
The Science of the Einstein Telescope2503.12263v2 · Adrian Abac, Raul Abramo, Simone Albanesi et al.2025 · 117 citationsJCAP 03 (2026) 081
J-PLUS: Tomographic analysis of galaxy angular density and redshift fluctuations in Data Release 3. Constraints on photo- errors, linear bias, and peculiar velocities2412.14826v2 · C. Hern'andez-Monteagudo (IAC/ULL), A. Balaguera-Antol'inez, R. von Marttens et al.2024 · 2 citationsarXiv
The J-PLUS collaboration. Additive versus multiplicative systematics in surveys of the large scale structure of the Universe2412.14827v2 · C. Hern'andez-Monteagudo (IAC/ULL), G. Arico, J. Chaves-Montero et al.2024 · 0 citationsarXiv
A robust cosmic standard ruler from the cross-correlations of galaxies and dark sirens2412.00202v2 · Joao Ferri, Ian L. Tashiro, L. Raul Abramo et al.2024 · 14 citationsJCAP 04(2025)008
Field-level simulation-based inference with galaxy catalogs: the impact of systematic effects2310.15234v3 · Natal'i S. M. de Santi, Francisco Villaescusa-Navarro, L. Raul Abramo et al.2023 · 10 citationsVolume 2025, Number 01, Year 2025, Page 089
The miniJPAS survey quasar selection IV: Classification and redshift estimation with SQUEzE2309.00461v1 · Ignasi P'erez-Rafols, L. Raul Abramo, Gin'es Mart'inez-Solaeche et al.2023 · 3 citationsA&A 678, A144 (2023)
An Extended Catalogue of galaxy morphology using Deep Learning in Southern Photometric Local Universe Survey Data Release 32306.08684v1 · C. R. Bom, A. Cortesi, U. Ribeiro et al.2023 · 14 citationsarXiv
The miniJPAS survey quasar selection III: Classification with artificial neural networks and hybridisation2303.12684v1 · G. Mart'inez-Solaeche, Carolina Queiroz, R. M. Gonz'alez Delgado et al.2023 · 11 citationsA&A 673, A103 (2023)
The miniJPAS survey quasar selection II: Machine learning classification with photometric measurements and uncertainties2303.00489v1 · Nat'alia V.N. Rodrigues, L. Raul Abramo, Carolina Queiroz et al.2023 · 12 citationsMonthly Notices of the Royal Astronomical Society, 2023, 520, 3494-3509
Robust Field-level Likelihood-free Inference with Galaxies2302.14101v2 · Natal'i S. M. de Santi, Helen Shao, Francisco Villaescusa-Navarro et al.2023 · 45 citationsVolume 952, Number 1, Year 2023, Pages 69
High-fidelity reproduction of central galaxy joint distributions with Neural Networks2301.06398v1 · Nat'alia V. N. Rodrigues, Natal'i S. M. de Santi, Antonio D. Montero-Dorta et al.2023 · 12 citationsarXiv
Spherical collapse of non-top-hat profiles in the presence of dark energy with arbitrary sound speed2210.14769v1 · R. C. Batista, H. P. de Oliveira, L. R. W. Abramo2022 · 7 citationsarXiv
The miniJPAS survey: The galaxy populations in the most massive cluster in miniJPAS, mJPC2470-17712207.10101v1 · J.E. Rodr'iguez Mart'in, R. M. Gonz'alez Delgado, G. Mart'inez-Solaeche et al.2022 · 14 citationsA&A 666, A160 (2022)
The miniJPAS survey: The role of group environment in quenching the star formation2207.05770v1 · R. M. Gonz'alez Delgado, J. E. Rodr'iguez-Mart'in, L. A. D'iaz-Garc'ia et al.2022 · 26 citationsarXiv
The miniJPAS Survey: Detection of double-core Ly{\alpha} morphology of two high-redshift (z>3) QSOs2207.00196v3 · P. T. Rahna, Zhen-Ya Zheng, Ana L. Chies-Santos et al.2022 · 5 citationsA&A 668, A148 (2022)
Improving cosmological covariance matrices with machine learning2205.10881v2 · Natal'i S. M. de Santi, L. Raul Abramo2022 · 0 citationsVolume 2022, Number 09, Year 2022, Pages 013
The miniJPAS survey: Identification and characterization of the emission line galaxies down to in the AEGIS field2204.01698v1 · G. Mart'inez-Solaeche, R. M. Gonz'alez Delgado, R. Garc'ia-Benito et al.2022 · 20 citationsA&A 661, A99 (2022)
The miniJPAS survey quasar selection I: Mock catalogues for classification2202.00103v1 · Carolina Queiroz, L. Raul Abramo, Nat'alia V. N. Rodrigues et al.2022 · 18 citationsarXiv
Mimicking the halo-galaxy connection using machine learning2201.06054v2 · Natal'i S. M. de Santi, Nat'alia V. N. Rodrigues, Antonio D. Montero-Dorta et al.2022 · 0 citationsVolume 514, 2022, Pages 2463-2478
Fisher matrix for multiple tracers: the information in the cross-spectra2112.01812v1 · L. Raul Abramo, Ian L. Tashiro, Joao V. D. Ferri2021 · 0 citationsarXiv
Black hole virial masses from single-epoch photometry: the miniJPAS test case2111.01180v2 · Jon'as Chaves-Montero, Silvia Bonoli, Benny Trakhtenbrot et al.2021 · 9 citationsA&A 660, A95 (2022)
The Effective Field Theory of Large-Scale Structure and Multi-tracer2108.11363v2 · Thiago Mergulhao, Henrique Rubira, Rodrigo Voivodic et al.2021 · 23 citationsJCAP 04 (2022) 04, 021
The information of attribute uncertainties: what convolutional neural networks can learn about errors in input data2108.04742v1 · Nat'alia V. N. Rodrigues, L. Raul Abramo, Nina S. Hirata2021 · 6 citationsarXiv
J-PAS: Forecasts for dark matter - dark energy elastic couplings2103.01571v2 · David Figueruelo, Miguel Aparicio Resco, Florencia A. Teppa Pannia et al.2021 · 31 citationsJCAP 2107 (2021) 022
The miniJPAS survey: Identification and characterization of galaxy populations with the J-PAS photometric system2102.13121v2 · R. M. Gonz'alez Delgado, L. A. D'iaz-Garc'ia, A. de Amorim et al.2021 · 45 citationsA&A 649, A79 (2021)
Observing relativistic features in large-scale structure surveys -- I: Multipoles of the power spectrum2009.02284v3 · Caroline Guandalin, Julian Adamek, Philip Bull et al.2020 · 13 citationsMNRAS, 501(2), 2021, 2547-2561
On the kinetic Sunyaev-Zel'dovich effect as an observational probe for halo spin bias2008.08607v1 · Antonio D. Montero-Dorta, M. Celeste Artale, L. Raul Abramo et al.2020 · 16 citationsarXiv
J-PAS: Measuring emission lines with artificial neural networks2008.04287v3 · G. Mart'inez-Solaeche, R. M. Gonz'alez Delgado, R. Garc'ia-Benito et al.2020 · 20 citationsA&A 647, A158 (2021)
The physical origins of low-mass spin bias2007.10366v3 · Beatriz Tucci, Antonio D. Montero-Dorta, L. Raul Abramo et al.2020 · 31 citationsarXiv
The miniJPAS survey: a preview of the Universe in 56 colours2007.01910v2 · S. Bonoli, A. Mar'in-Franch, J. Varela et al.2020 · 119 citationsA&A 653, A31 (2021)
Fisher matrix for multiple tracers: all you can learn from large-scale structure without assuming a model2005.02465v2 · Renan Boschetti, L. Raul Abramo, Luca Amendola2020 · 6 citationsarXiv
The manifestation of secondary halo bias on the galaxy population from IllustrisTNG3002001.01739v1 · Antonio D. Montero-Dorta, M. Celeste Artale, L. Raul Abramo et al.2020 · 47 citationsarXiv
J-PAS: forecasts on dark energy and modified gravity theories1910.02694v1 · Miguel Aparicio Resco, Antonio L. Maroto, Jailson S. Alcaniz et al.2019 · 26 citationsMNRAS 493 (2020) 3616-3631
The Multi-Tracer Optimal Estimator applied to VIPERS1909.00010v1 · Antonio D. Montero-Dorta, L. Raul Abramo, Benjamin R. Granett et al.2019 · 13 citationsarXiv
Assessing the photometric redshift precision of the S-PLUS survey: the Stripe-82 as a test-case1907.06315v1 · A. Molino, M. V. Costa-Duarte, L. Sampedro et al.2019 · 27 citationsarXiv
The Southern Photometric Local Universe Survey (S-PLUS): improved SEDs, morphologies and redshifts with 12 optical filters1907.01567v2 · C. Mendes de Oliveira, T. Ribeiro, W. Schoenell et al.2019 · 206 citationsarXiv
Excursion Set Halos -- ExSHalos: A New Parameter Free Method for Fast Generation of Halo Catalogues1906.06630v1 · Rodrigo Voivodic, Marcos Lima, Luis Raul Abramo2019 · 7 citationsarXiv
Fisher matrix for multiple tracers: model independent constraints on the redshift distortion parameter1904.00673v2 · L. Raul Abramo, Luca Amendola2019 · 12 citationsarXiv
J-PAS: forecasts on interacting dark energy from baryon acoustic oscillations and redshift-space distortions1901.02540v2 · A. A. Costa, R. J. F. Marcondes, R. G. Landim et al.2019 · 36 citationsMNRAS 488, 78-88 (2019)
The dependence of halo bias on age, concentration and spin1810.02375v1 · Gabriela Sato-Polito, Antonio D. Montero-Dorta, L. Raul Abramo et al.2018 · 51 citationsarXiv
Relation between the Turnaround radius and virial mass in model1809.10321v1 · Rafael C. C. Lopes, Rodrigo Voivodic, L. Raul Abramo et al.2018 · 27 citationsarXiv
Turnaround radius in model1805.09918v1 · Rafael C. C. Lopes, Rodrigo Voivodic, Luis Raul Abramo et al.2018 · 32 citationsarXiv
J-PLUS: The Javalambre Photometric Local Universe Survey1804.02667v1 · A. J. Cenarro, M. Moles, D. Crist'obal-Hornillos et al.2018 · 249 citationsA&A 622, A176 (2019)
Career total: 192 works. 97 are in this corpus.Showing the 50 most recent.
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