10 papers
Photometric classification of quasars from DES and photo- estimation with Machine Learning
Pablo Motta, Filipe B. Abdalla, Elcio Abdalla +2
This paper presents a comprehensive study of quasar photometric classification and redshift estimation using machine learning techniques. We cross-matched photometric data from the…
Interacting Dark Sector field theory with phantom crossing
E. Abdalla, O. P. F. Piedra, A. A. Escobal +4
Recent results from the Dark Energy Spectroscopic Instrument (DESI) provide evidence for a dynamical dark-energy component, whose equation of state appears to have recently crossed…
The BINGO project X. Cosmological parameter constraints from HI Intensity Mapping lognormal simulations
Pablo Motta, Filipe B. Abdalla, Camila P. Novaes +12
Context. Building on the transformative success of optical redshift surveys, the emerging technique of neutral hydrogen (HI) intensity mapping (IM) offers a novel probe of large-sc…
Machine learning analysis of Photometric data from the Dark Energy Survey
Elcio Abdalla, Filipe B. Abdalla, Alessandro Marins +3
In order to retrieve cosmological parameters from photometric surveys, we need to estimate the distribution of the photometric redshift in the sky with excellent accuracy. We use a…
Axial Gravitational Normal Modes of Uniform Density Star in Anti-de Sitter Spacetime
Kai Lin, Alan B. Pavan, Amilcar Rabelo de Queiroz +1
The article studies the dynamical behavior of axial gravitational perturbations of homogeneous stars in Anti-de Sitter spacetime. Because the radial coordinate transforms into…
The BINGO/ABDUS Project: Forecast for cosmological parameters from a mock Fast Radio Bursts survey
Xue Zhang, Yu Sang, Gabriel A. Hoerning +15
There are various surveys that will provide excellent data to search for and localize Fast Radio Bursts (FRBs). The BINGO project will be one such survey, and this collaboration ha…