Noise subtraction from KAGRA O3GK data using Independent Component Analysis

Noise subtraction from KAGRA O3GK data using Independent Component Analysis24 should divide it into the smaller part in which the transfer function can be approximately regarded as constant. Or alternatively, the formulation of ICA incorporating the time dependence needs to be considered. Such an is...

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Detalles Bibliográficos
Autores: Abe, H., Akutsu, T., Ando, M., Araya, A., Aritomi, N., Asada, H., Aso, Y., Bae, S., Bae, Y., Bajpai, R., Cannon, K., Wu, C., Wu, H., Yamada, T., Yamamoto, K., Yamamoto, T., Yamashita, K., Yamazaki, R., Yang, Y., Yeh, S., Chu, Y.-K., Mio, N., Yokoyama, J., Yokozawa, T., Yoshioka, Takehiro, Yuzurihara, H., Zeidler, S., Zhan, M., Zhang, H., Zhao, Y., Zhu, Z.-H., The KAGRA Collaboration, Miyakawa, O., Eguchi, S., Eisenmann, M., Enomoto, Y., Flaminio, R., Fong, H.K., Fujii, Y., Fujikawa, Y., Fujimoto, Y., Fukunaga, I., Gao, D., Miyo, K., Ge, G.-G., Ha, S., Hadiputrawan, I.P.W., Haino, S., Han, W.-B., Hasegawa, K., Hattori, K., Hayakawa, H., Hayama, K., Himemoto, Y., Miyoki, S., Hirata, N., Hirose, C., Ho, T.-C., Hsieh, B.-H., Hsieh, H.-F., Hsiung, C., Huang, H.-Y., Huang, P., Huang, Y.-C., Huang, Y.-J., Mori, Y., Hui, D.C.Y., Ide, S., Inayoshi, K., Inoue, Y., Ito, K., Itoh, Y., Jeon, C., Jin, H.-B., Jung, K., Jung, P., Morisaki, S., Kaihotsu, K., Kajita, T., Kakizaki, M., Kamiizumi, M., Kanda, N., Kato, T., Kawaguchi, K., Kim, C., Kim, J., Kim, J.C., Morisue, N., Kim, Y.-M., Kimura, N., Kiyota, T., Kobayashi, Y., Kohri, K., Kokeyama, K., Kong, A.K.H., Koyama, N., Kozakai, C., Kume, J., Moriwaki, Y., Kuromiya, Y., Kuroyanagi, Sachiko, Kwak, K., Lee, E., Lee, H.W., Lee, R., Leonardi, M., Li, K.L., Li, P., Lin, L.C.-C., Nagano, K., Lin, C.-Y., Lin, E.T., Lin, F.-K., Lin, F.-L., Lin, H.L., Liu, G.C., Luo, L.-W., Ma’arif, M., Majorana, E., Michimura, Y., Nakamura, K., Cao, Z., Nakano, H., Nakano, M., Nakayama, Y., Narikawa, T., Naticchioni, L., Nguyen Quynh, L., Ni, W.-T., Nishimoto, T., Nishizawa, A., Nozaki, Seiya, Capocasa, E., Obayashi, Y., Ogaki, W., Oh, J.J., Oh, K., Ohashi, M., Ohashi, T., Ohkawa, M., Ohta, H., Okutani, Y., Oohara, K., Chan, M., Oshino, S., Otabe, S., Pan, K.-C., Parisi, A., Park, J., Pe na Arellano, F.E., Saha, S.S., Saito, Y., Sakai, K., Sawada, T., Chen, C., Sekiguchi, Y., Shao, L., Shikano, Y., Shimizu, H., Shimode, K., Shinkai, H., Shishido, T., Shoda, A., Somiya, K., Song, I., Chen, D., Sugimoto, R., Suresh, J., Suzuki, T., Tagoshi, H., Takahashi, Hiromitsu, Takahashi, Ryuichi, Takano, Shuro, Takeda, H., Takeda, M., Tanaka, K., Chen, K., Tanaka, T., Tanioka, S., Taruya, A., Tomaru, T., Tomura, T., Trozzo, L., Tsang, T., Tsao, J.-S., Tsuchida, S., Tsutsui, T., Chen, Y., Tuyenbayev, D., Uchikata, N., Uchiyama, T., Ueda, A., Uehara, T., Ueno, K., Ueshima, G., Ushiba, T., van Putten, M.H.P.M., Wang, J., Chiang, C.-Y., Washimi, T.
Tipo de recurso: artículo
Estado:Versión enviada para evaluación y publicación
Fecha de publicación:2023
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/347868
Acceso en línea:http://hdl.handle.net/10261/347868
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153769043&doi=10.1088%2f1361-6382%2facc0cb&partnerID=40&md5=1ed44fb1059261c6949f0974fe6e6c7e
Access Level:acceso abierto
Descripción
Sumario:Noise subtraction from KAGRA O3GK data using Independent Component Analysis24 should divide it into the smaller part in which the transfer function can be approximately regarded as constant. Or alternatively, the formulation of ICA incorporating the time dependence needs to be considered. Such an issue will be further investigated in our future work. Since current level of subtraction is insufficient to provide drastic change in SNR, effect on the signal detection is not investigated in this work. After establishing method incorporating non-stationarity and also non-linearity, it is worthwhile to perform cleaning of the whole data segments and give a prediction for signal detection. Acknowledgements This work was supported by MEXT, JSPS Leading-edge Research Infrastructure Program, JSPS Grant-in-Aid for Specially Promoted Research 26000005, JSPS Grant- in-Aid for Scientific Research on Innovative Areas 2905: JP17H06358, JP17H06361 and JP17H06364, JSPS Core-to-Core Program A. Advanced Research Networks, JSPS Grant-in-Aid for Scientific Research (S) 17H06133 and 20H05639 , JSPS Grant-in- Aid for Transformative Research Areas (A) 20A203: JP20H05854, the joint research program of the Institute for Cosmic Ray Research, University of Tokyo, National Research Foundation (NRF), Computing Infrastructure Project of KISTI-GSDC, Korea Astronomy and Space Science Institute (KASI), and Ministry of Science and ICT (MSIT) in Korea, Academia Sinica (AS), AS Grid Center (ASGC) and the Ministry of Science and Technology (MoST) in Taiwan under grants including AS-CDA-105-M06, Advanced Technology Center (ATC) of NAOJ, and Mechanical Engineering Center of KEK. This work was partially supported by JSPS KAKENHI, Grant Number JP20J21866 (J.K.), 19J01299 and 20H05256 (T.W.). J.K. was supported by research program of the Leading Graduate Course for Frontiers of Mathematical Sciences and Physics (FMSP).

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