2 papers
astro-ph.GA2025
A gradient boosting and broadband approach to finding Lyman-α emitting galaxies beyond narrowband surveys
A. Vale, A. Paulino-Afonso, A. Humphrey +5
In this work, we test whether gradient-boosting algorithms, trained on broadband photometric data from traditional Lyman- emitting (LAE) surveys, can efficiently and accurately…
cond-mat.mtrl-sci2025
Physics-informed machine learning applied to the identification of high-pressure elusive phases from spatially resolved X-ray diffraction large datasets
Lucas H. Francisco, Camila M. Araújo, André A. M. C. Silva +7
Multi-technique high resolution X-ray mapping enhanced by the recent advent of 4th generation synchrotron facilities can produce colossal datasets, challenging traditional analysis…