A 3D Likelihood Analysis Tool for LHAASO-KM2A data
Issued Date
2022-03-18
Resource Type
eISSN
18248039
Scopus ID
2-s2.0-85144625753
Journal Title
Proceedings of Science
Volume
395
Rights Holder(s)
SCOPUS
Bibliographic Citation
Proceedings of Science Vol.395 (2022)
Suggested Citation
Cao Z. A 3D Likelihood Analysis Tool for LHAASO-KM2A data. Proceedings of Science Vol.395 (2022). Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/87558
Title
A 3D Likelihood Analysis Tool for LHAASO-KM2A data
Author(s)
Author's Affiliation
State Key Laboratory of Particle Detection & Electronics
Yunnan Observatories
Nanjing University
Shanghai Astronomical Observatory Chinese Academy of Sciences
Institute for Nuclear Research of the Russian Academy of Sciences
Shandong University
Wuhan University
Yunnan University
Institute of High Energy Physics Chinese Academy of Science
University of Chinese Academy of Sciences
Guangzhou University
Tsinghua University
Sun Yat-Sen University
University of Science and Technology of China
Zhengzhou University
Institiúid Ard-Lénn Bhaile Átha Cliath
Università degli Studi di Napoli Federico II
Sichuan University
National Astronomical Observatories Chinese Academy of Sciences
Max-Planck-Institut für Kernphysik
Southwest Jiaotong University
Purple Mountain Observatory Chinese Academy of Sciences
Université de Genève
Hebei Normal University
Tibet University
TIANFU Cosmic Ray Research Center
Yunnan Observatories
Nanjing University
Shanghai Astronomical Observatory Chinese Academy of Sciences
Institute for Nuclear Research of the Russian Academy of Sciences
Shandong University
Wuhan University
Yunnan University
Institute of High Energy Physics Chinese Academy of Science
University of Chinese Academy of Sciences
Guangzhou University
Tsinghua University
Sun Yat-Sen University
University of Science and Technology of China
Zhengzhou University
Institiúid Ard-Lénn Bhaile Átha Cliath
Università degli Studi di Napoli Federico II
Sichuan University
National Astronomical Observatories Chinese Academy of Sciences
Max-Planck-Institut für Kernphysik
Southwest Jiaotong University
Purple Mountain Observatory Chinese Academy of Sciences
Université de Genève
Hebei Normal University
Tibet University
TIANFU Cosmic Ray Research Center
Other Contributor(s)
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.