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  5. Agilepy: A Python framework for scientific analysis of AGILE data Analysis
 

Agilepy: A Python framework for scientific analysis of AGILE data Analysis

Date Issued
2021
Author(s)
BULGARELLI, ANDREA  
•
Baroncelli, L.  
•
Addis, A.
•
PARMIGGIANI, Nicolo'  
•
Aboudan, A.
•
Di Piano, A.
•
FIORETTI, Valentina  
•
TAVANI, Marco  
•
PITTORI, Carlotta  
•
LUCARELLI, Fabrizio  
•
VERRECCHIA, Francesco  
DOI
10.48550/arXiv.2105.08474
Abstract
The Italian AGILE space mission, with its Gamma-Ray Imaging Detector (GRID) instrument sensitive in the 30 MeV-50 GeV gamma-ray energy band, has been operating since 2007. Agilepy is an open-source Python package to analyse AGILE/GRID data. The package is built on top of the command-line version of the AGILE Science Tools, developed by the AGILE Team, publicly available and released by ASI/SSDC. The primary purpose of the package is to provide an easy to use high-level interface to analyse AGILE/GRID data by simplifying the configuration of the tasks and ensuring straightforward access to the data. The current features are the generation and display of sky maps and light curves, the access to gamma-ray sources catalogues, the analysis to perform spectral model and position fitting, the wavelet analysis. Agilepy also includes an interface tool providing the time evolution of the AGILE off-axis viewing angle for a chosen sky region. The Flare Advocate team also uses the tool to analyse the data during the daily monitoring of the gamma-ray sky. Agilepy (and its dependencies) can be easily installed using Anaconda.
Coverage
Astronomical Data Analysis Software and Systems XXX
All editors
Ruiz, Jose Enrique; Pierfedereci, Francesco; Teuben, Peter
Series
ASTRONOMICAL SOCIETY OF THE PACIFIC CONFERENCE SERIES  
Start page
509
Conferenece
Astronomical Data Analysis Software and Systems XXX
Conferenece place
virtual
Conferenece date
8-12 November 2020
Uri
http://hdl.handle.net/20.500.12386/34400
Url
http://aspbooks.org/a/volumes/article_details/?paper_id=40609
Issn Identifier
1050-3390
Ads BibCode
2022ASPC..532..505B
Rights
open.access
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