scholarly journals Open high-level data formats and software for gamma-ray astronomy

2017 ◽  
Author(s):  
Christoph Deil ◽  
Catherine Boisson ◽  
Karl Kosack ◽  
Jeremy Perkins ◽  
Johannes King ◽  
...  
Keyword(s):  
Gamma Ray ◽  
Gamma Ray Astronomy ◽  
Data Formats ◽  
Level Data ◽  
High Level

scholarly journals Fermi: Monitoring the Gamma-Ray Universe

Galaxies ◽  
2018 ◽  
Vol 6 (4) ◽  
pp. 117 ◽  
Author(s):  
David Thompson
Keyword(s):  
Response Time ◽  
Real Time ◽  
Gamma Ray ◽  
High Redshift ◽  
Large Area ◽  
Long Duration ◽  
Level Data ◽  
High Level ◽  
Atmospheric Phenomena ◽  
Scientific Return

Since 2008, the Large Area Telescope and the Gamma-ray Burst Monitor on the Fermi Gamma-ray Space Telescope have been monitoring the entire sky at energies from about 8 keV to more than 1 TeV. Photon-level data and high-level data products are made publicly available in near-real time, and efforts continue to improve the response time. This long-duration, all-sky monitoring has enabled a broad range of science, from atmospheric phenomena on Earth to signals from high-redshift sources. The Fermi instrument teams have worked closely with multiwavelength and multi-messenger observers and theorists to maximize the scientific return from the observatory, and they look forward to continued cooperative efforts as Fermi moves into its second decade of operation.

scholarly journals Towards open and reproducible multi-instrument analysis in gamma-ray astronomy

2019 ◽  
Vol 625 ◽  
pp. A10 ◽  
Author(s):  
C. Nigro ◽  
C. Deil ◽  
R. Zanin ◽  
T. Hassan ◽  
J. King ◽  
...  
Keyword(s):  
Gamma Ray ◽  
Crab Nebula ◽  
High Energy ◽  
Data Format ◽  
Cherenkov Telescopes ◽  
Level Data ◽  
Combining Data ◽  
Very High Energy ◽  
High Level ◽  
The Crab Nebula

The analysis and combination of data from different gamma-ray instruments involves the use of collaboration proprietary software and case-by-case methods. The effort of defining a common data format for high-level data, namely event lists and instrument response functions (IRFs), has recently started for very-high-energy gamma-ray instruments, driven by the upcoming Cherenkov Telescope Array (CTA). In this work we implemented this prototypical data format for a small set of MAGIC, VERITAS, FACT, and H.E.S.S. Crab nebula observations, and we analyzed them with the open-source gammapy software package. By combining data from Fermi-LAT, and from four of the currently operating imaging atmospheric Cherenkov telescopes, we produced a joint maximum likelihood fit of the Crab nebula spectrum. Aspects of the statistical errors and the evaluation of systematic uncertainty are also commented upon, along with the release format of spectral measurements. The results presented in this work are obtained using open-access on-line assets that allow for a long-term reproducibility of the results.

Sign in / Sign up

Export Citation Format

Share Document