151 citations · 212 across the 10 of their papers we have counts for
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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: 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…
The miniJPAS survey quasar selection V: combined algorithm
Ignasi Pérez-Ràfols, L. Raul Abramo, Ginés Martínez-Solaeche +27
Aims. Quasar catalogues from narrow-band photometric data are used in a variety of applications, including targeting for spectroscopic follow-up, measurements of supermassive black…
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…
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…