Gravitational-wave Extraction using Independent Component Analysis - INSPIRE

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Gravitational-wave Extraction using Independent Component Analysis

Mar 18, 2025

13 pages

e-Print:

2503.14179 [gr-qc]

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Abstract: (arXiv)

Independent component analysis (ICA) is a method to extract a set of time-series data using "statistical independency" of each component. We propose applying ICA for extracting gravitational wave (GW) signals. Our idea is to extract a signal that is commonly included in multiple detectors and to find it by shifting the data-set around its arrival time. In this article, we show several tests using injected signals, and show that this method can be applied to events for signal-to-noise over 15. We then demonstrate the method to actual O1-O3 events, and the identification of the arrival time can be estimated more precisely than that was previously reported. This approach does not require templates of waveform, therefore it can be applied for testing general relativity, and also for finding unknown GW.

Note:

13 pages, 7 figures

References(17)

Figures(67)

[1]

Observation of Gravitational Waves from a Binary Black Hole Merger

LIGO Scientific and
Virgo

Collaborations

•

B.P. Abbott
(
- Caltech
)

et al.

- Phys.Rev.Lett. 116 (2016) 6, 061102
•
e-Print:
- 1602.03837
•
DOI:
- 10.1103/PhysRevLett.116.061102

[2]

GW170817: Observation of Gravitational Waves from a Binary Neutron Star Inspiral

LIGO Scientific and
Virgo

Collaborations

•

B.P. Abbott
(
- LIGO Lab., Caltech
)

et al.

- Phys.Rev.Lett. 119 (2017) 16, 161101
•
e-Print:
- 1710.05832
•
DOI:
- 10.1103/PhysRevLett.119.161101

[3]

GWTC-3: Compact Binary Coalescences Observed by LIGO and Virgo during the Second Part of the Third Observing Run

Collaborations

•

R. Abbott
(
- LIGO Lab., Caltech
)

et al.

- Phys.Rev.X 13 (2023) 4, 041039,
- Phys. Rev. X; 13(4):041039; 2023
•
e-Print:
- 2111.03606
•
DOI:
- 10.1103/PhysRevX.13.041039

[4]

Population of Merging Compact Binaries Inferred Using Gravitational Waves through GWTC-3

Collaborations

•

R. Abbott
(
- LIGO Lab., Caltech
)

et al.

- Phys.Rev.X 13 (2023) 1, 011048
•
e-Print:
- 2111.03634
•
DOI:
- 10.1103/PhysRevX.13.011048

[5]

Tests of General Relativity with GWTC-3

Collaborations

•

R. Abbott
(
- LIGO Lab., Caltech
)

et al.

e-Print:
- 2112.06861

[6]

Comparison of various methods to extract ringdown frequency from gravitational wave data

Hiroyuki Nakano
(
- Ryukoku U.
)
,
Tatsuya Narikawa
(
- Tokyo U., ICRR and
- Kyoto U.
)
,
Ken-ichi Oohara
(
- Niigata U., Grad. Sch. Sci. Tech.
)
,
Kazuki Sakai
(
- Nagaoka Coll. Tech., Niigata
)
,
Hisa-aki Shinkai
(
- Osaka Inst. Tech.
)

et al.

- Phys.Rev.D 99 (2019) 12, 124032
•
e-Print:
- 1811.06443
•
DOI:
- 10.1103/PhysRevD.99.124032

[7]

Parametrized tests of post-Newtonian theory using principal component analysis

Muhammed Saleem
(
- Minnesota U. and
- Chennai Math. Inst.
)
,
Sayantani Datta
(
- Chennai Math. Inst.
)
,
K.G. Arun
(
)
,
B.S. Sathyaprakash
(
)

- Phys.Rev.D 105 (2022) 8, 084062
•
e-Print:
- 2110.10147
•
DOI:
- 10.1103/PhysRevD.105.084062

[8]

Multiparameter tests of general relativity using a principle component analysis with next-generation gravitational-wave detectors

Sayantani Datta
(
- Chennai Math. Inst.
)
,
M. Saleem
(
- Minnesota U.
)
,
K.G. Arun
(
- Chennai Math. Inst.
)
,
B.S. Sathyaprakash
(
)

- Phys.Rev.D 109 (2024) 4, 044036
•
e-Print:
- 2208.07757
•
DOI:
- 10.1103/PhysRevD.109.044036

[9]

Results in Phys. 57, 107407

R. Niu
,
Z-C. Ma
,
J-M. Chen
,
C. Feng
,
W. Zhao

[10]

Physically consistent gravitational waveform for capturing beyond general relativity effects in the compact object merger phase

- Phys.Rev.D 109 (2024) 8, 084058
•
e-Print:
- 2309.14061
•
DOI:
- 10.1103/PhysRevD.109.084058

[11]

A. Hyvärinen, and E. Oja

- Neural Networks 13 (2000) 411

[12]

A. Hyvärinen

J. Karhunen
,
E. Oja

[13]

A.J. Bell
,
T.J. Sejnowski

- Neural Comput. 7 (1995) 1129

[14]

Improvement of the performance of a classical matched filter by an independent component analysis preprocessing

R. De Rosa
(
- Naples U. and
- INFN, Naples
)
,
L.A. Forte
(
- Naples U. and
- INFN, Naples
)
,
F. Garufi
(
- Naples U. and
- INFN, Naples
)
,
L. Milano
(
- Naples U. and
- INFN, Naples
)

- Phys.Rev.D 85 (2012) 042001
•
DOI:
- 10.1103/PhysRevD.85.042001

[15]

Application of independent component analysis to the iKAGRA data

KAGRA

Collaboration

•

T. Akutsu
(
- Natl. Astron. Observ. of Japan
)

et al.

- PTEP 2020 (2020) 5, 053F01
•
e-Print:
- 1908.03013
•
DOI:
- 10.1093/ptep/ptaa056

[16]

Toward the detection of gravitational waves under non-Gaussian noises II. Independent Component Analysis

Soichiro Morisaki
(
- Tokyo U., RESCEU and
- Tokyo U.
)
,
Jun'ichi Yokoyama
(
- Tokyo U., RESCEU and
- Tokyo U. and
- Tokyo U., IPMU
)
,
Kazunari Eda
(
- Tokyo U., RESCEU and
- Tokyo U.
)
,
Yousuke Itoh
(
- Tokyo U., RESCEU
)

- Proc.Japan Acad.B 92 (2016) 336
•
e-Print:
- 1605.01983
•
DOI:
- 10.2183/pjab.92.336

[17]

Open Data from the Third Observing Run of LIGO, Virgo, KAGRA, and GEO

Collaborations

•

R. Abbott
(
- LIGO Lab., Caltech
)

et al.

- Astrophys.J.Suppl. 267 (2023) 2, 29
•
e-Print:
- 2302.03676
•
DOI:
- 10.3847/1538-4365/acdc9f