Systematic search for lensed X-ray sources in the CLASH fields

no code implementations • 11 Feb 2021 • Ang Liu, Paolo Tozzi, Piero Rosati, Pietro Bergamini, Gabriel Bartosch Caminha, Roberto Gilli, Claudio Grillo, Massimo Meneghetti, Amata Mercurio, Mario Nonino, Eros Vanzella

We search for X-ray emission from strongly lensed sources identified in the optical, and perform an untargeted detection of lensed X-ray sources.

Astrophysics of Galaxies Cosmology and Nongalactic Astrophysics

Machine learning based data mining for Milky Way filamentary structures reconstruction

no code implementations • 25 May 2015 • Giuseppe Riccio, Stefano Cavuoti, Eugenio Schisano, Massimo Brescia, Amata Mercurio, Davide Elia, Milena Benedettini, Stefano Pezzuto, Sergio Molinari, Anna Maria Di Giorgio

We present an innovative method called FilExSeC (Filaments Extraction, Selection and Classification), a data mining tool developed to investigate the possibility to refine and optimize the shape reconstruction of filamentary structures detected with a consolidated method based on the flux derivative analysis, through the column-density maps computed from Herschel infrared Galactic Plane Survey (Hi-GAL) observations of the Galactic plane.

BIG-bench Machine Learning