55 citations · 239 across the 31 of their papers we have counts for
11 papers · 1 filter
J-PAS: First Identification, Physical Properties and Ionization Efficiency of Extreme Emission Line Galaxies
A. Giménez-Alcázar, R. Amorín, J. M. Vílchez +32
Extreme emission line galaxies (EELGs) are key tracers of intense star formation and potential analogues of the sources that reionized the early Universe. Their low-redshift counte…
J-PAS: A value-added catalogue of optical line intensities for nebular emission galaxies (JOLINES)
J. A. Fernández-Ontiveros, C. López-Sanjuan, A. Hernán-Caballero +38
We present the value-added catalogue JOLINES (J-PAS optical line intensities for nebular emission galaxies), which provides emission-line fluxes in galaxies at from the spectrophot…
The miniJPAS and J-NEP surveys: Machine learning for star-galaxy separation
Ana Paula Jeakel, Gabriel Vieira dos Santos, Valerio Marra +27
We present a supervised machine learning classification of sources from the Javalambre Physics of the Accelerating Universe Astrophysical Survey (J-PAS) Pathfinder datasets: miniJP…
J-PAS: A Neural Network Approach to Single Stellar Population Characterization
H. Domínguez Sánchez, P. Coelho, G. Bruzual +28
J-PAS (Javalambre Physics of the Accelerating Universe Astrophysical Survey) will present a groundbreaking photometric survey covering 8500 deg of the visible sky from Javalamb…
J-PAS: Discovery of RaJav, a bright spatially extended Ly Nebula at z=2.25
P. T. Rahna, M. Akhlaghi, J. A. Fernández-Ontiveros +29
We report the discovery of a massive and potentially largest Ly Nebula, RaJav, at z=2.25, associated with a quasar pair: the bright SDSS~J162029.07+433451.1 (hereafter J1620+433…
J-PAS: forecast on the primordial power spectrum reconstruction
Guillermo Martínez-Somonte, Airam Marcos-Caballero, Enrique Martínez-González +27
We investigate the capability of the J-PAS survey to constrain the primordial power spectrum using a non-parametric Bayesian method. Specifically, we analyze simulated power spectr…
Exploring the spatially-resolved capabilities of the J-PAS survey with Py2DJPAS
J. E. Rodríguez-Martín, L. A. Díaz-García, R. M. González Delgado +27
We present Py2DJPAS, a Python-based tool to automate the analysis of spatially resolved galaxies in the \textbf{miniJPAS} survey, a 1~deg precursor of the J-PAS survey, using t…
J-PAS: Forecasting constraints on Neutrino Masses
Gabriel Rodrigues, Antonio J. Cuesta, Jailson Alcaniz +30
The large-scale structure survey J-PAS is taking data since October 2023. In this work, we present a forecast based on the Fisher matrix method to establish its sensitivity to the…
Unveiling the small-scale web around galaxies with miniJPAS and DESI
Daniela Galárraga-Espinosa, Guinevere Kauffmann, Silvia Bonoli +23
We present the first statistical observational study detecting filaments in the immediate surroundings of galaxies, i.e. the local web of galaxies. Simulations predict that cold ga…
J-PAS and PFS surveys in the era of dark energy and neutrino mass measurements
Fuxing Qin, Yuting Wang, Gong-Bo Zhao +28
Fisher-matrix forecasts are presented for the cosmological surveys of the Javalambre Physics of the Accelerating Universe Astrophysical Survey (J-PAS) and the Subaru Prime Focus Sp…
The J-PAS survey: The effect of photometric redshift errors on cosmic voids
J. A. Mansour, L. J. Liivamägi, A. Tamm +23
We investigated the impact of photometric redshift errors in the ongoing Javalambre Physics of the Accelerating Universe Astrophysical Survey (J-PAS) on void identification and pro…