Search Results for author: Fabio Acero

Found 3 papers, 2 papers with code

Semi-Blind Source Separation with Learned Constraints

1 code implementation • 27 Sep 2022 • Rémi Carloni Gertosio, Jérôme Bobin, Fabio Acero

BSS problems being ill-posed, the resolution requires efficient regularization schemes to better distinguish between the sources and yield interpretable solutions.

blind source separation Disentanglement

Paper
Code

A novel method for component separation of extended sources in X-ray astronomy

no code implementations • 24 May 2019 • Adrien Picquenot, Fabio Acero, Jérôme Bobin, Pierre Maggi, Jean Ballet, Gabriel W. Pratt

In high-energy astronomy, spectro-imaging instruments such as X-ray detectors allow investigation of the spatial and spectral properties of extended sources including galaxy clusters, galaxies, diffuse interstellar medium, supernova remnants and pulsar wind nebulae.

High Energy Astrophysical Phenomena Astrophysics of Galaxies Instrumentation and Methods for Astrophysics

Paper
Add Code

Gammapy - A prototype for the CTA science tools

1 code implementation • 6 Sep 2017 • Christoph Deil, Roberta Zanin, Julien Lefaucheur, Catherine Boisson, Bruno Khélifi, Régis Terrier, Matthew Wood, Lars Mohrmann, Nachiketa Chakraborty, Jason Watson, Rubén López Coto, Stefan Klepser, Matteo Cerruti, Jean-Philippe Lenain, Fabio Acero, Arache Djannati-Ataï, Santiago Pita, Zeljka Bosnjak, José Enrique Ruiz, Cyril Trichard, Thomas Vuillaume, for the CTA Consortium, Axel Donath, Johannes King, Léa Jouvin, Ellis Owen, Manuel Paz Arribas, Brigitta Sipocz, Dirk Lennarz, Arjun Voruganti, Marion Spir-Jacob

Gammapy is a Python package for high-level gamma-ray data analysis built on Numpy, Scipy and Astropy.

Instrumentation and Methods for Astrophysics

Paper
Code

Cannot find the paper you are looking for? You can Submit a new open access paper.