Abstract
The square kilometer array (KM2A) is the main array of the Large High Altitude Air Shower Observatory (LHAASO), which is the most sensitive gamma-ray detector for energies above a few tens of TeV. We are developing a software pipeline based on the experimental data, Monte-Carlo simulations and the pointing track of the arrays. The pipeline is able to perform 3D (sky images at different energies) fits of KM2A data, similar to those used for Fermi-LAT and DAMPE gamma-ray analysis. This 3D likelihood analysis could fit source models of arbitrary morphology to the sky images and get energy spectra information and detection significances simultaneously. The analysis with this software could give consistent results with those using traditional method.
Recommended Citation
"A 3D Likelihood Analysis Tool For LHAASO-KM2A Data," Proceedings of Science, vol. 395, article no. 769, Sissa Medialab Srl, Mar 2022.
The definitive version is available at https://doi.org/10.22323/1.395.0769
Department(s)
Physics
Publication Status
Open Access
International Standard Serial Number (ISSN)
1824-8039
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2025 Sissa Medialab Srl, All rights reserved.
Publication Date
18 Mar 2022
