1k citations · 3k across the 41 of their papers we have counts for
40 papers
Interacting dark sector with quadratic coupling: theoretical and observational viability
Jaelsson S. Lima, Rodrigo von Marttens, Luciano Casarini
Models proposing a non-gravitational interaction between dark energy (DE) and dark matter (CDM) have been extensively studied as alternatives to the standard cosmological model. A…
Total and dark mass from observations of galaxy centers with Machine Learning
Sirui Wu, Nicola R. Napolitano, Crescenzo Tortora +4
The galaxy total mass inside the effective radius encode important information on the dark matter and galaxy evolution model. Total "central" masses can be inferred via galaxy dyna…
J-PLUS DR3: Galaxy-Star-Quasar classification
R. von Marttens, V. Marra, M. Quartin +20
The Javalambre Photometric Local Universe Survey (J-PLUS) is a 12-band photometric survey using the 83-cm JAST telescope. Data Release 3 includes 47.4 million sources. J-PLUS DR3 o…
Measuring the Hubble Constant with cosmic chronometers: a machine learning approach
Carlos Bengaly, Maria Aldinez Dantas, Luciano Casarini +1
Local measurements of the Hubble constant () based on Cepheids e Type Ia supernova differ by from the estimated value of from Planck CMB observations under…
Inferring galaxy dark halo properties from visible matter with Machine Learning
Rodrigo von Marttens, Luciano Casarini, Nicola R. Napolitano +6
Next-generation surveys will provide photometric and spectroscopic data of millions to billions of galaxies with unprecedented precision. This offers a unique chance to improve our…
A model-independent reconstruction of dark sector interactions
Rodrigo von Marttens, Javier E. Gonzalez, Jailson Alcaniz +2
Relaxing the conventional assumption of a minimal coupling between the dark matter (DM) and dark energy (DE) fields introduces significant changes in the predicted evolution of the…