12 citations · 14 across the 6 of their papers we have counts for
6 papers
A stochastic forward model for the intergalactic dispersion-measure distribution of Fast Radio Bursts
Jéferson A. S. Fortunato, Valerio Marra, Wiliam S. Hipólito-Ricaldi +1
Fast Radio Bursts probe ionised baryons through their observed dispersion measures. We present \turbofrb, a semi-analytic stochastic forward model for the intergalactic dispersion-…
Optimizing the extraction of information from redshift probability distribution functions
Rodrigo Duarte, Valerio Marra
Photometric redshifts are essential for large-scale structure analyses, yet extracting optimal point estimates and reliability measures from the probability distribution functions…
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…
Dark Degeneracy in DESI DR2: Interacting or Evolving Dark Energy?
Vitor Petri, Valerio Marra, Rodrigo von Marttens
The standard CDM model, despite its success, is challenged by persistent observational tensions in the Hubble constant () and the matter clustering amplitude (), motiv…
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…