Data quality control system and long-term performance monitor of LHAASO-KM2A

Zhen Cao,F Aharonian,Axikegu Axikegu,Y.X Bai,Y.W Bao,D Bastieri,X.J Bi,Y.J Bi,W Bian,A.V Bukevich,Q Cao,W.Y Cao,Zhe Cao,J Chang,J.F Chang,A.M Chen,E.S Chen,H.X Chen,Liang Chen,Lin Chen,Long Chen,M.J Chen,M.L Chen,Q.H Chen,S Chen,S.H Chen,S.Z Chen,T.L Chen,Y Chen,N Cheng,Y.D Cheng,M.Y Cui,S.W Cui,X.H Cui,Y.D Cui,B.Z Dai,H.L Dai,Z.G Dai,Danzengluobu Danzengluobu,X.Q Dong,K.K Duan,J.H Fan,Y.Z Fan,J Fang,J.H Fang,K Fang,C.F Feng,H Feng,L Feng,S.H Feng,X.T Feng,Y Feng,Y.L Feng,S Gabici,B Gao,C.D Gao,Q Gao,W Gao,W.K Gao,M.M Ge,L.S Geng,G Giacinti,G.H Gong,Q.B Gou,M.H Gu,F.L Guo,X.L Guo,Y.Q Guo,Y.Y Guo,Y.A Han,M Hasan,H.H He,H.N He,J.Y He,Y He,Y.K Hor,B.W Hou,C Hou,X Hou,H.B Hu,Q Hu,S.C Hu,D.H Huang,T.Q Huang,W.J Huang,X.T Huang,X.Y Huang,Y Huang,X.L Ji,H.Y Jia,K Jia,K Jiang,X.W Jiang,Z.J Jiang,M Jin,M.M Kang,I Karpikov,D Kuleshov,K Kurinov,B.B Li,C.M Li,Cheng Li,Cong Li,D Li,F Li,H.B Li,H.C Li,Jian Li,Jie Li,K Li,S.D Li,W.L Li,W.L Li,X.R Li,Xin Li,Y.Z Li,Zhe Li,Zhuo Li,E.W Liang,Y.F Liang,S.J Lin,B Liu,C Liu,D Liu,D.B Liu,H Liu,H.D Liu,J Liu,J.L Liu,M.Y Liu,R.Y Liu,S.M Liu,W Liu,Y Liu,Y.N Liu,Q Luo,Y Luo,H.K Lv,B.Q Ma,L.L Ma,X.H Ma,J.R Mao,Z Min,W Mitthumsiri,H.J Mu,Y.C Nan,A Neronov,L.J Ou,P Pattarakijwanich,Z.Y Pei,J.C Qi,M.Y Qi,B.Q Qiao,J.J Qin,A Raza,D Ruffolo,A Sáiz,M Saeed,D Semikoz,L Shao,O Shchegolev,X.D Sheng,F.W Shu,H.C Song,Yu.V Stenkin,V Stepanov,Y Su,D.X Sun,Q.N Sun,X.N Sun,Z.B Sun,J Takata,P.H.T Tam,Q.W Tang,R Tang,Z.B Tang,W.W Tian,C Wang,C.B Wang,G.W Wang,H.G Wang,H.H Wang,J.C Wang,Kai Wang,Kai Wang,L.P Wang,L.Y Wang,P.H Wang,R Wang,W Wang,X.G Wang,X.Y Wang,Y Wang,Y.D Wang,Y.J Wang,Z.H Wang,Z.X Wang,Zhen Wang,Zheng Wang,D.M Wei,J.J Wei,Y.J Wei,T Wen,C.Y Wu,H.R Wu,Q.W Wu,S Wu,X.F Wu,Y.S Wu,S.Q Xi,J Xia,G.M Xiang,D.X Xiao,G Xiao,Y.L Xin,Y Xing,D.R Xiong,Z Xiong,D.L Xu,R.F Xu,R.X Xu,W.L Xu,L Xue,D.H Yan,J.Z Yan,T Yan,C.W Yang,C.Y Yang,F Yang,F.F Yang,L.L Yang,M.J Yang,R.Z Yang,W.X Yang,Y.H Yao,Z.G Yao,L.Q Yin,N Yin,X.H You,Z.Y You,Y.H Yu,Q Yuan,H Yue,H.D Zeng,T.X Zeng,W Zeng,M Zha,B.B Zhang,F Zhang,H Zhang,H.M Zhang,H.Y Zhang,J.L Zhang,Li Zhang,P.F Zhang,P.P Zhang,R Zhang,S.B Zhang,S.R Zhang,S.S Zhang,X Zhang,X.P Zhang,Y.F Zhang,Yi Zhang,Yong Zhang,B Zhao,J Zhao,L Zhao,L.Z Zhao,S.P Zhao,X.H Zhao,F Zheng,W.J Zhong,B Zhou,H Zhou,J.N Zhou,M Zhou,P Zhou,R Zhou,X.X Zhou,X.X Zhou,B.Y Zhu,C.G Zhu,F.R Zhu,H Zhu,K.J Zhu,Y.C Zou,X Zuo

doi:10.1016/j.astropartphys.2024.103029

Abstract

The KM2A is the largest sub-array of the Large High Altitude Air Shower Observatory (LHAASO). It consists of 5216 electromagnetic particle detectors (EDs) and 1188 muon detectors (MDs). The data recorded by the EDs and MDs are used to reconstruct primary information of cosmic-ray and gamma-ray showers. To ensure the reliability of the LHAASO-KM2A data, a three-level quality control system has been established. It is used to monitor the status of detector units, stability of reconstructed parameters and the performance of the array based on observations of the Crab Nebula and Moon shadow. This paper will introduce the control system and its application on the LHAASO-KM2A data collected from August 2021 to July 2023. During this period, the pointing and angular resolution of the array were stable. From the observations of the Moon shadow and Crab Nebula, the results achieved using the two methods are consistent with each other. For example, according to the observation of the Crab Nebula with KM2A at energies from 25 TeV to 100 TeV, the time averaged pointing errors are estimated to be −0.003°±0.005° and 0.001°±0.006° in the R.A. and Dec directions, respectively.

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