Application of the independent component analysis to the iKAGRA data
Application of the independent component analysis to the iKAGRA data
复制标题
DOI：
10.1093/ptep/ptaa056
复制
发表时间：
2019-08
期刊：
影响因子：
--
通讯作者：
T. Akutsu;M. Ando;K. Arai;Y. Arai;S. Araki;A. Araya;N. Aritomi;H. Asada;Y. Aso;S. Atsuta;K. Awai;S. Bae;Y. Bae;L. Baiotti;R. Bajpai;M. Barton;K. Cannon;E. Capocasa;M. Chan;C. Chen;C. Chen;K. Chen;Y. Chen;H. Chu;Y. Chu;K. Craig;W. Creus;K. Doi;K. Eda;S. Eguchi;Y. Enomoto;R. Flaminio;Y. Fujii;M. Fujimoto;M. Fukunaga;M. Fukushima;T. Furuhata;G. Ge;A. Hagiwara;A. Hagiwara;S. Haino;K. Hasegawa;K. Hashino;H. Hayakawa;K. Hayama;Y. Himemoto;Y. Hiranuma;N. Hirata;S. Hirobayashi;E. Hirose;Z. Hong;B. Hsieh;G-Z. Huang;P. Huang;Y. Huang;B. Ikenoue;S. Imam;K. Inayoshi;Y. Inoue;K. Ioka;Y. Itoh;K. Izumi;K. Jung;P. Jung;T. Kaji;T. Kajita;M. Kakizaki;M. Kamiizumi;S. Kanbara;N. Kanda;S. Kanemura;M. Kaneyama;G. Kang;J. Kasuya;Y. Kataoka;K. Kawaguchi;N. Kawai;S. Kawamura;T. Kawasaki;Chunglee Kim;J. Kim;W. Kim;Y. M. Kim;N. Kimura;T. Kinugawa;S. Kirii;N. Kita;Y. Kitaoka;H. Kitazawa;Y. Kojima;K. Kokeyama;K. Komori;A. Kong;K. Kotake;C. Kozakai;R. Kozu;R. Kumar;J. Kume;C. Kuo;H. Kuo;S. Kuroyanagi;K. Kusayanagi;K. Kwak;Hyun Kyu Lee;Ho Lee;Ho Lee;H. Lee;Ray-Kuang Lee;M. Leonardi;C.Y. Lin;C. Lin;F. Lin;Guo-chin Liu;Y. Liu;Ling-Wei Luo;E. Majorana;S. Mano;M. Marchiò;T. Matsui;F. Matsushima;Y. Michimura;N. Mio;O. Miyakawa;A. Miyamoto;T. Miyamoto;Y. Miyazaki;K. Miyo;S. Miyoki;W. Morii;S. Morisaki;Y. Moriwaki;T. Morozumi;M. Musha;K. Nagano;S. Nagano;Kouji Nakamura;Takashi Nakamura;H. Nakano;M. Nakano;M. Nakano;K. Nakao;R. Nakashima;T. Narikawa;L. Naticchioni;R. Negishi;L. Quynh;Wei Ni;W. Ni;W. Ni;A. Nishizawa;Y. Obuchi;T. Ochi;W. Ogaki;J. Oh;Seog Oh;M. Ohashi;N. Ohishi;M. Ohkawa;K. Okutomi;K. Oohara;C. Ooi;S. Oshino;K. Pan;H. Pang;J. Park;F. Arellano;I. Pinto;N. Sago;Motoyuki Saijo;S. Saito;Y. Saito;K. Sakai;Y. Sakai;Y. Sakuno;M. Sasaki;Y. Sasaki;S. Sato;Takashi Sato;T. Sawada;T. Sekiguchi;Y. Sekiguchi;N. Seto;S. Shibagaki;Masaru Shibata;Masaru Shibata;R. Shimizu;T. Shimoda;K. Shimode;H. Shinkai;T. Shishido;A. Shoda;K. Somiya;E. Son;H. Sotani;A. Suemasa;R. Sugimoto;T. Suzuki;H. Tagoshi;H. Takahashi;R. Takahashi;A. Takamori;S. Takano;H. Takeda;M. Takeda;Hidekazu Tanaka;K. Tanaka;T. Tanaka;S. Tanioka;E. Martín;D. Tatsumi;S. Telada;T. Tomaru;Y. Tomigami;T. Tomura;F. Travasso;F. Travasso;L. Trozzo;T. Tsang;K. Tsubono;S. Tsuchida;T. Tsuzuki;D. Tuyenbayev;N. Uchikata;T. Uchiyama;A. Ueda;T. Uehara;T. Uehara;S. Ueki;K. Ueno;G. Ueshima;F. Uraguchi;T. Ushiba;M. Putten;H. Vocca;S. Wada;T. Wakamatsu;Jiali Wang;Chau‐Ron Wu;Hong Wu;Shuen-De Wu;W-R. Xu;T. Yamada;A. Yamamoto;Kazuhiro Yamamoto;S. Yamamoto;Takahiro Yamamoto;K. Yokogawa;J. Yokoyama;T. Yokozawa;T. Yoon;T. Yoshioka;H. Yuzurihara;S. Zeidler;Y. Zhao;Zheng Hong Zhu
中科院分区：
文献类型：
--
作者：
T. Akutsu;M. Ando;K. Arai;Y. Arai;S. Araki;A. Araya;N. Aritomi;H. Asada;Y. Aso;S. Atsuta;K. Awai;S. Bae;Y. Bae;L. Baiotti;R. Bajpai;M. Barton;K. Cannon;E. Capocasa;M. Chan;C. Chen;C. Chen;K. Chen;Y. Chen;H. Chu;Y. Chu;K. Craig;W. Creus;K. Doi;K. Eda;S. Eguchi;Y. Enomoto;R. Flaminio;Y. Fujii;M. Fujimoto;M. Fukunaga;M. Fukushima;T. Furuhata;G. Ge;A. Hagiwara;A. Hagiwara;S. Haino;K. Hasegawa;K. Hashino;H. Hayakawa;K. Hayama;Y. Himemoto;Y. Hiranuma;N. Hirata;S. Hirobayashi;E. Hirose;Z. Hong;B. Hsieh;G-Z. Huang;P. Huang;Y. Huang;B. Ikenoue;S. Imam;K. Inayoshi;Y. Inoue;K. Ioka;Y. Itoh;K. Izumi;K. Jung;P. Jung;T. Kaji;T. Kajita;M. Kakizaki;M. Kamiizumi;S. Kanbara;N. Kanda;S. Kanemura;M. Kaneyama;G. Kang;J. Kasuya;Y. Kataoka;K. Kawaguchi;N. Kawai;S. Kawamura;T. Kawasaki;Chunglee Kim;J. Kim;W. Kim;Y. M. Kim;N. Kimura;T. Kinugawa;S. Kirii;N. Kita;Y. Kitaoka;H. Kitazawa;Y. Kojima;K. Kokeyama;K. Komori;A. Kong;K. Kotake;C. Kozakai;R. Kozu;R. Kumar;J. Kume;C. Kuo;H. Kuo;S. Kuroyanagi;K. Kusayanagi;K. Kwak;Hyun Kyu Lee;Ho Lee;Ho Lee;H. Lee;Ray-Kuang Lee;M. Leonardi;C.Y. Lin;C. Lin;F. Lin;Guo-chin Liu;Y. Liu;Ling-Wei Luo;E. Majorana;S. Mano;M. Marchiò;T. Matsui;F. Matsushima;Y. Michimura;N. Mio;O. Miyakawa;A. Miyamoto;T. Miyamoto;Y. Miyazaki;K. Miyo;S. Miyoki;W. Morii;S. Morisaki;Y. Moriwaki;T. Morozumi;M. Musha;K. Nagano;S. Nagano;Kouji Nakamura;Takashi Nakamura;H. Nakano;M. Nakano;M. Nakano;K. Nakao;R. Nakashima;T. Narikawa;L. Naticchioni;R. Negishi;L. Quynh;Wei Ni;W. Ni;W. Ni;A. Nishizawa;Y. Obuchi;T. Ochi;W. Ogaki;J. Oh;Seog Oh;M. Ohashi;N. Ohishi;M. Ohkawa;K. Okutomi;K. Oohara;C. Ooi;S. Oshino;K. Pan;H. Pang;J. Park;F. Arellano;I. Pinto;N. Sago;Motoyuki Saijo;S. Saito;Y. Saito;K. Sakai;Y. Sakai;Y. Sakuno;M. Sasaki;Y. Sasaki;S. Sato;Takashi Sato;T. Sawada;T. Sekiguchi;Y. Sekiguchi;N. Seto;S. Shibagaki;Masaru Shibata;Masaru Shibata;R. Shimizu;T. Shimoda;K. Shimode;H. Shinkai;T. Shishido;A. Shoda;K. Somiya;E. Son;H. Sotani;A. Suemasa;R. Sugimoto;T. Suzuki;H. Tagoshi;H. Takahashi;R. Takahashi;A. Takamori;S. Takano;H. Takeda;M. Takeda;Hidekazu Tanaka;K. Tanaka;T. Tanaka;S. Tanioka;E. Martín;D. Tatsumi;S. Telada;T. Tomaru;Y. Tomigami;T. Tomura;F. Travasso;F. Travasso;L. Trozzo;T. Tsang;K. Tsubono;S. Tsuchida;T. Tsuzuki;D. Tuyenbayev;N. Uchikata;T. Uchiyama;A. Ueda;T. Uehara;T. Uehara;S. Ueki;K. Ueno;G. Ueshima;F. Uraguchi;T. Ushiba;M. Putten;H. Vocca;S. Wada;T. Wakamatsu;Jiali Wang;Chau‐Ron Wu;Hong Wu;Shuen-De Wu;W-R. Xu;T. Yamada;A. Yamamoto;Kazuhiro Yamamoto;S. Yamamoto;Takahiro Yamamoto;K. Yokogawa;J. Yokoyama;T. Yokozawa;T. Yoon;T. Yoshioka;H. Yuzurihara;S. Zeidler;Y. Zhao;Zheng Hong Zhu
首次将独立分量分析（伊卡）应用于引力波探测器的真实的数据。具体来说，我们使用2016年4月拍摄的iKAGRA数据，计算了引力波应变通道与35个物理环境通道之间的相关性。使用一对夫妇的地震通道，发现是强烈相关的应变，我们执行伊卡。在应变通道中注入正弦连续信号，我们发现伊卡恢复正确的参数，提高了信噪比，这表明该方法的有效性。在两种独立伊卡方法中，我们发现当环境噪声线性作用于应变通道时，相关方法得到的结果最优。
We apply the independent component analysis (ICA) to the real data from a gravitational wave detector for the first time. Specifically we use the iKAGRA data taken in April 2016, and calculate the correlations between the gravitational wave strain channel and 35 physical environmental channels. Using a couple of seismic channels which are found to be strongly correlated with the strain, we perform ICA. Injecting a sinusoidal continuous signal in the strain channel, we find that ICA recovers correct parameters with enhanced signal-to-noise ratio, which demonstrates usefulness of this method. Among the two implementations of ICA used here, we find the correlation method yields the optimal result for the case environmental noises act on the strain channel linearly.