Accès ouvert déclaré
2023
article
Overview of KAGRA : Data transfer and management
T. Akutsu, Masaki Ando, K. Arai, Y. Arai, S. Araki, A. Araya, N. Aritomi, Hideki Asada, Y. Aso, S. Bae, Y Bae, Luca Baiotti, R. Bajpai, M. A. Barton, K. C. Cannon, Z. Cao, E. Capocasa, M. Chan, C Chen, K Chen, Y Chen, C-Y. Chiang, Hong-Yu Chu, S. Eguchi, Yutaro Enomoto, R. Flaminio, Yoshinori Fujii, Y. Fujikawa, Masataka Fukunaga, Mitsuhiro Fukushima, D. Gao, G.-G. Ge, S. Ha, Masatoshi Hagiwara, S. Haino, W-B Han, K. Hasegawa, Kentaro Hattori, H. Hayakawa, K. Hayama, Y. Himemoto, Y. Hiranuma, N. Hirata, Eiichi Hirose, Z. Hong, B-H. Hsieh, G-Z. Huang, H-Y. Huang, P. Huang, Y-C Huang, Y.-J. Huang, C. Y. Hui, S. Ide, B. Ikenoue, S. Imam, Kohei Inayoshi, Yuki Inoue, Kunihito Ioka, K. Ito, Y. Itoh, K. Izumi, Chanhyung Jeon, H-B Jin, K. Jung, P. Jung, K. Kaihotsu, T. Kajita, M. Kakizaki, M. Kamiizumi, Nobuyuki Kanda, G. Kang, Kyohei Kawaguchi, N. Kawai, T. Kawasaki, Chunglee Kim, J Kim, J C Kim, W. S. Kim, N. Kimura, Naoki Kita, H. Kitazawa, Yukiyasu Kobayashi, Y. Kojima, K. Kokeyama, K. Komori, A. K. H. Kong, Kei Kotake, C. Kozakai, R. Kozu, S. Kumar, J. Kume, C. M. Kuo, H-S. Kuo, Y. Kuromiya, Sachiko Kuroyanagi, K. Kusayanagi, K. Kwak, H K Lee, H. W. Lee, Ray‐Kuang Lee, M. Leonardi, K.L Li, L C-C Lin, Chun-Yu Lin, H. Lin, Guo-Chin Liu, E. Majorana, M. Marchio, Yuta Michimura, N. Mio, O. Miyakawa, A. Miyamoto, Yuki Miyazaki, K. Miyo, S. Miyoki, Y. Mori, S. Morisaki, Y. Moriwaki, Koji Nagano, Shigeo Nagano, K. Nakamura, Hiroyuki Nakano, Masayuki 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, S. H. Oh, M. Ohashi, T. Ohashi, N. Ohishi, Masashi 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. M. Pinto, Norichika Sago, S. Saito, Y. Saito, K Sakai, Yusuke Sakai, Y. Sakuno, Y. Sasaki, S. Sato, Takahiro Sato, T. Sawada, T. Sekiguchi, Y. Sekiguchi, Lijing Shao, S. Shibagaki, Ryuma Shimizu, T Shimoda, K. Shimode, H. Shinkai, T. Shishido, A. Shoda, K. Somiya, Edwin J. Son, Hajime Sotani, R. Sugimoto, J. Suresh, Takamasa Suzuki, Hideyuki Tagoshi, Hirotaka Takahashi, Ryutaro Takahashi, Akiteru Takamori, S. Takano, H. Takeda, M. Takeda, Hidekazu Tanaka, K. Tanaka, Takahiro Tanaka, S. Tanioka, E. N. Tapia San Martín, S. Telada, T. Tomaru, Y. Tomigami, T. Tomura, F. Travasso, L. Trozzo, T. Tsang, J-S. Tsao, K. Tsubono, S. Tsuchida, T. Tsutsui, Toshihiro Tsuzuki, D. Tuyenbayev, N. Uchikata, Takashi Uchiyama, A. Ueda, T. Uehara, Satoshi Ueki, K. Ueno, G. Ueshima, F. Uraguchi, T. Ushiba, Maurice H. P. M. van Putten, H. Vocca, Jun Wang, T. Washimi, Chien-Ming Wu, H. Wu, S. Wu, W-R. Xu, Takatoshi Yamada, K. Yamamoto, Takahiro Yamamoto, K. Yamashita, Ryo Yamazaki, Yi Yang, K. Yokogawa, Jun’ichi Yokoyama, T. Yokozawa, T. Yoshioka, H. Yuzurihara, S. Zeidler, H Zhang, Yang Zhao, Zong‐Hong Zhu, P. Brockill, J. A. Clark, J. Zweizig
2Citations signalées, ce qui n’est pas une note de qualité
75Institutions déclarées
8Pays d’affiliation déclarés
Rattachement africain : jp, kr, cn, tw, fr, us, it, hk.
Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
Abstract KAGRA is a newly built gravitational wave observatory, a laser interferometer with a 3 km arm length, located in Kamioka, Gifu prefecture, Japan. In this article, we describe the KAGRA data management system, i.e., recording of data, transfer from the KAGRA experiment site to computing resources, as well as data distribution to tier sites, including international sites in Taiwan and Korea. The amount of KAGRA data exceeded 1.0 PiB and increased by about 1.5 TB per day during operation in 2020. Our system has succeeded in data management, and has achieved performance that can withstand observations after 2023, that is, a transfer rate of 20 MB s-1 or more and file storage of sufficient capacity for petabyte class. We also discuss the sharing of data between the global gravitational-wave detector network with other experiments, namely LIGO and Virgo. The latency, which consists of calculation of calibrated strain data and transfer time within the global network, is very important from the view of multi-messenger astronomy using gravitational waves. Real-time calbrated data delivered from the KAGRA detector site and other detectors to our computing system arrive with about 4–15 seconds of latency. These latencies are sufficiently short compared to the time taken for gravitational wave event search computations. We also established a high-latency exchange of offline calibrated data that was aggregated with a better accuracy compared with real-time data.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Overview of KAGRA : Data transfer and management
- Date Crossref
- 02/09/2023
- Éditeur
- Oxford University Press (OUP)
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Les institutions déclarées
Une affiliation ne permet pas de déduire la nationalité d’un auteur.
Les sujets associés
Pulsars and Gravitational Waves ResearchGamma-ray bursts and supernovaeMagnetic confinement fusion research