Overview of KAGRA : Data transfer and management

• DOI: 10.1093/ptep/ptad112
• Publication Date: 2023-09-03T04:49:46Z
• Authors: T Akutsu; M Ando; K Arai; Y Arai; S Araki; A Araya; N Aritomi; H Asada; Y Aso; S Bae; Y Bae; L Baiotti; R Bajpai; M A Barton; K Cannon; Z Cao; E Capocasa; M Chan; C Chen; K Chen; Y Chen; C-Y Chiang; H Chu; Y-K Chu; S Eguchi; Y Enomoto; R Flaminio; Y Fujii; Y Fujikawa; M Fukunaga; M Fukushima; D Gao; G Ge; S Ha; A Hagiwara; S Haino; W-B Han; K Hasegawa; K Hattori; H Hayakawa; K Hayama; Y Himemoto; Y Hiranuma; N Hirata; E Hirose; Z Hong; B Hsieh; G-Z Huang; H-Y Huang; P Huang; Y-C Huang; Y Huang; D C Y Hui; S Ide; B Ikenoue; S Imam; K Inayoshi; Y Inoue; K Ioka; K Ito; Y Itoh; K Izumi; C Jeon; H-B Jin; K Jung; P Jung; K Kaihotsu; T Kajita; M Kakizaki; M Kamiizumi; N Kanda; G Kang; K Kawaguchi; N Kawai; T Kawasaki; C Kim; J Kim; J C Kim; W S Kim; Y-M Kim; N Kimura; N Kita; H Kitazawa; Y Kobayashi; Y Kojima; K Kokeyama; K Komori; A K H Kong; K Kotake; C Kozakai; R Kozu; R Kumar; J Kume; C Kuo; H-S Kuo; Y Kuromiya; S Kuroyanagi; K Kusayanagi; K Kwak; H K Lee; H W Lee; R Lee; M Leonardi; K L Li; L C-C Lin; C-Y Lin; F-K Lin; F-L Lin; H L Lin; G C Liu; L-W Luo; E Majorana; M Marchio; Y Michimura; N Mio; O Miyakawa; A Miyamoto; Y Miyazaki; K Miyo; S Miyoki; Y Mori; S Morisaki; Y Moriwaki; K Nagano; S Nagano; K Nakamura; H Nakano; M Nakano; R Nakashima; Y Nakayama; T Narikawa; L Naticchioni; R Negishi; L Nguyen Quynh; W-T Ni; A Nishizawa; S Nozaki; Y Obuchi; W Ogaki; J J Oh; K Oh; S H Oh; M Ohashi; T Ohashi; N Ohishi; M Ohkawa; H Ohta; Y Okutani; K Okutomi; K Oohara; C Ooi; S Oshino; S Otabe; K Pan; H Pang; A Parisi; J Park; F E Peña Arellano; I Pinto; N Sago; S Saito; Y Saito; K Sakai; Y Sakai; Y Sakuno; Y Sasaki; S Sato; T Sato; T Sawada; T Sekiguchi; Y Sekiguchi; L Shao; S Shibagaki; R Shimizu; T Shimoda; K Shimode; H Shinkai; T Shishido; A Shoda; K Somiya; E J Son; H Sotani; R Sugimoto; J Suresh; T Suzuki; H Tagoshi; H Takahashi; R Takahashi; A Takamori; S Takano; H Takeda; M Takeda; H Tanaka; K Tanaka; K Tanaka; T Tanaka; S Tanioka; E N Tapia San Martin; S Telada; T Tomaru; Y Tomigami; T Tomura; F Travasso; L Trozzo; T Tsang; J-S Tsao; K Tsubono; S Tsuchida; T Tsutsui; T Tsuzuki; D Tuyenbayev; N Uchikata; T Uchiyama; A Ueda; T Uehara; S Ueki; K Ueno; G Ueshima; F Uraguchi; T Ushiba; M H P M van Putten; H Vocca; J Wang; T Washimi; C Wu; H Wu; S Wu; W-R Xu; T Yamada; K Yamamoto; T Yamamoto; K Yamashita; R Yamazaki; Y Yang; K Yokogawa; J Yokoyama; T Yokozawa; T Yoshioka; H Yuzurihara; S Zeidler; M Zhan; H Zhang; Y Zhao; Z-H Zhu; P Brockill; J A Clark; J Zweizig
• Keywords: interferometer; gravitational radiation; calibration; 530; gravitational radiation detector; laser; observatory; off-line; VIRGO; network; site; gravitational waves; KAGRA; data transfer; KAGRA; data management; [PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]; LIGO; [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]; F3 Gravitational wave, F30 Instrumentation and technique, F32 Calibration and operation of gravitational wave detector, F33 Network system, coincident signal in other radiation bands; performance

Abstract KAGRA is a newly built gravitational wave observatory, laser interferometer with 3 km arm length, located in Kamioka, Gifu prefecture, Japan. In this article, we describe the data management system, i.e., recording of data, transfer from experiment site to computing resources, as well distribution tier sites, including international sites Taiwan and Korea. The amount exceeded 1.0 PiB increased by about 1.5 TB per day during operation 2020. Our system has succeeded management, achieved performance that can withstand observations after 2023, is, rate 20 MB s-1 or more file storage sufficient capacity for petabyte class. We also discuss sharing between global gravitational-wave detector network other experiments, namely LIGO Virgo. latency, which consists calculation calibrated strain time within network, very important view multi-messenger astronomy using waves. Real-time calbrated delivered detectors our arrive 4–15 seconds latency. These latencies are sufficiently short compared taken event search computations. established high-latency exchange offline was aggregated better accuracy real-time data.