A 3D Likelihood Analysis Tool for LHAASO-KM2A data

LHAASO Collaboration

A 3D Likelihood Analysis Tool for LHAASO-KM2A data

LHAASO Collaboration

Research output: Contribution to journal › Conference article › peer-review

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.

Original language	English
Article number	769
Journal	Proceedings of Science
Volume	395
State	Published - 18 Mar 2022
Externally published	Yes
Event	37th International Cosmic Ray Conference, ICRC 2021 - Virtual, Berlin, Germany Duration: 12 Jul 2021 → 23 Jul 2021

Cite this

@article{452492274cbf4dc2af768dbebe3d7026,

title = "A 3D Likelihood Analysis Tool for LHAASO-KM2A data",

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.",

author = "\{LHAASO Collaboration\} and Zhen Cao and F. Aharonian and Q. An and Axikegu and Bai, \{L. X.\} and Bai, \{Y. X.\} and Bao, \{Y. W.\} and D. Bastieri and Bi, \{X. J.\} and Bi, \{Y. J.\} and H. Cai and Cai, \{J. T.\} and Zhe Cao and J. Chang and Chang, \{J. F.\} and Chen, \{B. M.\} and Chen, \{E. S.\} and J. Chen and Liang Chen and Long Chen and Chen, \{M. J.\} and Chen, \{M. L.\} and Chen, \{Q. H.\} and Chen, \{S. H.\} and Chen, \{S. Z.\} and Chen, \{T. L.\} and Chen, \{X. L.\} and Y. Chen and N. Cheng and Cheng, \{Y. D.\} and Cui, \{S. W.\} and Cui, \{X. H.\} and Cui, \{Y. D.\} and \{D'Ettorre Piazzoli\}, B. and Dai, \{B. Z.\} and Dai, \{H. L.\} and Dai, \{Z. G.\} and Danzengluobu and \{della Volpe\}, D. and Dong, \{X. J.\} and Kaikai Duan and Fan, \{J. H.\} and Fan, \{Y. Z.\} and Fan, \{Z. X.\} and J. Fang and K. Fang and Feng, \{C. F.\} and L. Feng and Feng, \{S. H.\} and Geng, \{L. S.\}",

note = "Publisher Copyright: {\textcopyright} Copyright owned by the author(s) under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0); 37th International Cosmic Ray Conference, ICRC 2021 ; Conference date: 12-07-2021 Through 23-07-2021",

year = "2022",

month = mar,

day = "18",

language = "英语",

volume = "395",

journal = "Proceedings of Science",

issn = "1824-8039",

publisher = "Sissa Medialab Srl",

}

TY - JOUR

T1 - A 3D Likelihood Analysis Tool for LHAASO-KM2A data

AU - LHAASO Collaboration

AU - Cao, Zhen

AU - Aharonian, F.

AU - An, Q.

AU - Axikegu,

AU - Bai, L. X.

AU - Bai, Y. X.

AU - Bao, Y. W.

AU - Bastieri, D.

AU - Bi, X. J.

AU - Bi, Y. J.

AU - Cai, H.

AU - Cai, J. T.

AU - Cao, Zhe

AU - Chang, J.

AU - Chang, J. F.

AU - Chen, B. M.

AU - Chen, E. S.

AU - Chen, J.

AU - Chen, Liang

AU - Chen, Long

AU - Chen, M. J.

AU - Chen, M. L.

AU - Chen, Q. H.

AU - Chen, S. H.

AU - Chen, S. Z.

AU - Chen, T. L.

AU - Chen, X. L.

AU - Chen, Y.

AU - Cheng, N.

AU - Cheng, Y. D.

AU - Cui, S. W.

AU - Cui, X. H.

AU - Cui, Y. D.

AU - D'Ettorre Piazzoli, B.

AU - Dai, B. Z.

AU - Dai, H. L.

AU - Dai, Z. G.

AU - Danzengluobu,

AU - della Volpe, D.

AU - Dong, X. J.

AU - Duan, Kaikai

AU - Fan, J. H.

AU - Fan, Y. Z.

AU - Fan, Z. X.

AU - Fang, J.

AU - Fang, K.

AU - Feng, C. F.

AU - Feng, L.

AU - Feng, S. H.

AU - Geng, L. S.

N1 - Publisher Copyright: © Copyright owned by the author(s) under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0)

PY - 2022/3/18

Y1 - 2022/3/18

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85144625753

M3 - 会议文章

AN - SCOPUS:85144625753

SN - 1824-8039

VL - 395

JO - Proceedings of Science

JF - Proceedings of Science

M1 - 769

T2 - 37th International Cosmic Ray Conference, ICRC 2021

Y2 - 12 July 2021 through 23 July 2021

ER -

A 3D Likelihood Analysis Tool for LHAASO-KM2A data

Abstract

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