Meteorological effects on the counting rates with KM2A in scaler mode
Issued Date
2025-12-30
Resource Type
eISSN
18248039
Scopus ID
2-s2.0-105029066770
Journal Title
Proceedings of Science
Volume
501
Rights Holder(s)
SCOPUS
Bibliographic Citation
Proceedings of Science Vol.501 (2025)
Suggested Citation
Cao Z., Aharonian F., Bai Y.X., Bao Y.W., Bastieri D., Bi X.J., Bi Y.J., Bian W., Bukevich A.V., Cai C.M., Cao W.Y., Cao Z., Chang J., Chang J.F., Chen A.M., Chen E.S., Chen G.H., Chen H.X., Chen L., Chen L., Chen M.J., Chen M.L., Chen Q.H., Chen S., Chen S.H., Chen S.Z., Chen T.L., Chen X.B., Chen X.J., Chen Y., Cheng N., Cheng Y.D., Chu M.C., Cui M.Y., Cui S.W., Cui X.H., Cui Y.D., Dai B.Z., Dai H.L., Dai Z.G., Danzengluobu, Diao Y.X., Dong X.Q., Duan K.K., Fan J.H., Fan Y.Z., Fang J., Fang J.H., Fang K., Feng C.F., Feng H., Feng L., Feng S.H., Feng X.T., Feng Y., Feng Y.L., Gabici S., Gao B., Gao C.D., Gao Q., Gao W., Gao W.K., Ge M.M., Ge T.T., Geng L.S., Giacinti G., Gong G.H., Gou Q.B., Gu M.H., Guo F.L., Guo J., Guo X.L., Guo Y.Q., Guo Y.Y., Han Y.A., Hannuksela O.A., Hasan M., He H.H., He H.N., He J.Y., He X.Y., He Y., Hernández-Cadena S., Hou B.W., Hou C., Hou X., Hu H.B., Hu S.C., Huang C., Huang D.H., Huang J.J., Huang T.Q., Huang W.J., Huang X.T., Huang X.Y., Huang Y., Huang Y.Y., Ji X.L., Jia H.Y., Jia K. Meteorological effects on the counting rates with KM2A in scaler mode. Proceedings of Science Vol.501 (2025). doi:10.22323/1.501.0280 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/114877
Title
Meteorological effects on the counting rates with KM2A in scaler mode
Author(s)
Cao Z.
Aharonian F.
Bai Y.X.
Bao Y.W.
Bastieri D.
Bi X.J.
Bi Y.J.
Bian W.
Bukevich A.V.
Cai C.M.
Cao W.Y.
Cao Z.
Chang J.
Chang J.F.
Chen A.M.
Chen E.S.
Chen G.H.
Chen H.X.
Chen L.
Chen L.
Chen M.J.
Chen M.L.
Chen Q.H.
Chen S.
Chen S.H.
Chen S.Z.
Chen T.L.
Chen X.B.
Chen X.J.
Chen Y.
Cheng N.
Cheng Y.D.
Chu M.C.
Cui M.Y.
Cui S.W.
Cui X.H.
Cui Y.D.
Dai B.Z.
Dai H.L.
Dai Z.G.
Danzengluobu
Diao Y.X.
Dong X.Q.
Duan K.K.
Fan J.H.
Fan Y.Z.
Fang J.
Fang J.H.
Fang K.
Feng C.F.
Feng H.
Feng L.
Feng S.H.
Feng X.T.
Feng Y.
Feng Y.L.
Gabici S.
Gao B.
Gao C.D.
Gao Q.
Gao W.
Gao W.K.
Ge M.M.
Ge T.T.
Geng L.S.
Giacinti G.
Gong G.H.
Gou Q.B.
Gu M.H.
Guo F.L.
Guo J.
Guo X.L.
Guo Y.Q.
Guo Y.Y.
Han Y.A.
Hannuksela O.A.
Hasan M.
He H.H.
He H.N.
He J.Y.
He X.Y.
He Y.
Hernández-Cadena S.
Hou B.W.
Hou C.
Hou X.
Hu H.B.
Hu S.C.
Huang C.
Huang D.H.
Huang J.J.
Huang T.Q.
Huang W.J.
Huang X.T.
Huang X.Y.
Huang Y.
Huang Y.Y.
Ji X.L.
Jia H.Y.
Jia K.
Aharonian F.
Bai Y.X.
Bao Y.W.
Bastieri D.
Bi X.J.
Bi Y.J.
Bian W.
Bukevich A.V.
Cai C.M.
Cao W.Y.
Cao Z.
Chang J.
Chang J.F.
Chen A.M.
Chen E.S.
Chen G.H.
Chen H.X.
Chen L.
Chen L.
Chen M.J.
Chen M.L.
Chen Q.H.
Chen S.
Chen S.H.
Chen S.Z.
Chen T.L.
Chen X.B.
Chen X.J.
Chen Y.
Cheng N.
Cheng Y.D.
Chu M.C.
Cui M.Y.
Cui S.W.
Cui X.H.
Cui Y.D.
Dai B.Z.
Dai H.L.
Dai Z.G.
Danzengluobu
Diao Y.X.
Dong X.Q.
Duan K.K.
Fan J.H.
Fan Y.Z.
Fang J.
Fang J.H.
Fang K.
Feng C.F.
Feng H.
Feng L.
Feng S.H.
Feng X.T.
Feng Y.
Feng Y.L.
Gabici S.
Gao B.
Gao C.D.
Gao Q.
Gao W.
Gao W.K.
Ge M.M.
Ge T.T.
Geng L.S.
Giacinti G.
Gong G.H.
Gou Q.B.
Gu M.H.
Guo F.L.
Guo J.
Guo X.L.
Guo Y.Q.
Guo Y.Y.
Han Y.A.
Hannuksela O.A.
Hasan M.
He H.H.
He H.N.
He J.Y.
He X.Y.
He Y.
Hernández-Cadena S.
Hou B.W.
Hou C.
Hou X.
Hu H.B.
Hu S.C.
Huang C.
Huang D.H.
Huang J.J.
Huang T.Q.
Huang W.J.
Huang X.T.
Huang X.Y.
Huang Y.
Huang Y.Y.
Ji X.L.
Jia H.Y.
Jia K.
Author's Affiliation
University of Chinese Academy of Sciences
Tsinghua University
Shanghai Jiao Tong University
Sun Yat-Sen University
University of Science and Technology of China
Université Paris Cité
Shandong University
Nanjing University
Chinese University of Hong Kong
Zhengzhou University
Southwest Jiaotong University
Yunnan University
Guangzhou University
Institute of High Energy Physics, Chinese Academy of Sciences
National Astronomical Observatories Chinese Academy of Sciences
Max-Planck-Institut für Kernphysik
Hebei Normal University
Institute for Nuclear Research of the Russian Academy of Sciences
Yerevan State University
China Center of Advanced Science and Technology World Laboratory
Zhejiang Lab
Purple Mountain Observatory Chinese Academy of Sciences
Shanghai Astronomical Observatory Chinese Academy of Sciences
Yunnan Observatories
Tibet University
State Key Laboratory of Particle Detection & Electronics
TIANFU Cosmic Ray Research Center
School of Physics
Tsinghua University
Shanghai Jiao Tong University
Sun Yat-Sen University
University of Science and Technology of China
Université Paris Cité
Shandong University
Nanjing University
Chinese University of Hong Kong
Zhengzhou University
Southwest Jiaotong University
Yunnan University
Guangzhou University
Institute of High Energy Physics, Chinese Academy of Sciences
National Astronomical Observatories Chinese Academy of Sciences
Max-Planck-Institut für Kernphysik
Hebei Normal University
Institute for Nuclear Research of the Russian Academy of Sciences
Yerevan State University
China Center of Advanced Science and Technology World Laboratory
Zhejiang Lab
Purple Mountain Observatory Chinese Academy of Sciences
Shanghai Astronomical Observatory Chinese Academy of Sciences
Yunnan Observatories
Tibet University
State Key Laboratory of Particle Detection & Electronics
TIANFU Cosmic Ray Research Center
School of Physics
Corresponding Author(s)
Other Contributor(s)
Abstract
The Large High Altitude Air Shower Observatory (LHAASO) consists of three sub-arrays: KM2A, WCDA and WFCTA. The KM2A contains 5216 electromagnetic particle detectors (EDs) and 1188 muon detectors (MDs). There are two common independent data acquisition systems, corresponding to the shower and scaler operation modes. In scaler mode, the KM2AED array is divided into 61 clusters. One cluster consists of 64 EDs (8 EDs × 8 EDs). For each cluster, the event rates of showers having a number of fired EDs within a time coincidence of 100 ns (particle multiplicities m) = 1, 2, 3, 4.. are recorded every 0.1 s. The scaler mode began acquiring data on June 21, 2023. In this study, we analyze the scaler mode data to study the meteorological effects on the counting rates with different multiplicities. Over long time periods, the distributions for all C<inf>i</inf> (means the counting rate for m = i) are influenced by meteorological parameters, such as the atmospheric pressure (P) and temperature (T). The counting rates decrease with increasing P and T. The correlation coefficients between the counting rates and the meteorological parameters are studied in this work. After correcting for meteorological effects, the counting rates become stable over long time periods, with C<inf>1</inf> following a Gaussian distribution and C<inf>2</inf>, C<inf>3</inf> and C<inf>4</inf> following Poisson distributions.
