From the 1 of 16 linked papers with an AI index.
16 papers
J-PAS & FLAMINGO: Cosmic voids and void galaxies in the gravitational landscape of photometric surveys
J. A. Mansour, B. McCarthy, L. J. Liivamägi +34
The paper presents a method that uses a quasi‑gravitational potential field to identify dynamically dominant cosmic voids and their galaxies in photometric surveys like J‑PAS, show…
J-PAS: forecast on the primordial power spectrum reconstruction
Guillermo MartÃnez-Somonte, Airam Marcos-Caballero, Enrique MartÃnez-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. RodrÃguez-MartÃn, L. A. DÃaz-GarcÃa, 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…
The Connection between Dusty Star-Forming Galaxies and the First Massive Quenched Galaxies
Pablo Araya-Araya, Rachel K. Cochrane, Laerte Sodré +6
High-redshift (z > 2) massive quiescent (MQ) galaxies provide an opportunity to probe the key physical processes driving the fuelling and quenching of star formation in the early U…
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…