GitHub / amacaluso / Machine-Learning-for-particle-discrimination
This project contains the code to perform a task of Particle identification (PID) in Astrophysics, comparing Deep Learning and Classical Machine Learning approaches. Data are provided by Agile team (http://agile.rm.iasf.cnr.it/) and the goal of the analysis is to provide a Statistical model which is able to distinguish gamma-ray photon for background particles.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/amacaluso%2FMachine-Learning-for-particle-discrimination
PURL: pkg:github/amacaluso/Machine-Learning-for-particle-discrimination
Stars: 1
Forks: 0
Open issues: 0
License: apache-2.0
Language: Python
Size: 7.63 MB
Dependencies parsed at: Pending
Created at: about 7 years ago
Updated at: almost 5 years ago
Pushed at: about 5 years ago
Last synced at: about 1 year ago
Topics: applied-deep-learning, applied-machine-learning, applied-statistics, gamma-ray-astronomy, particle-identification