Sparsity-based recovery of Galactic-binary gravitational waves

Autor: Aurore Blelly, Hervé Moutarde, Jérôme Bobin
Přispěvatelé: Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay
Jazyk: angličtina
Předmět:
Signal Processing (eess.SP)
data analysis method
Gravitational-wave observatory
Noise reduction
interferometer
Binary number
FOS: Physical sciences
alternative theories of gravity
detector: noise
General Relativity and Quantum Cosmology (gr-qc)
01 natural sciences
Signal
General Relativity and Quantum Cosmology
statistical analysis
galaxy: binary
0103 physical sciences
numerical methods
FOS: Electrical engineering
electronic engineering
information engineering
[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]
Electrical Engineering and Systems Science - Signal Processing
010306 general physics
numerical calculations
signal processing
Instrumentation and Methods for Astrophysics (astro-ph.IM)
Physics
High Energy Astrophysical Phenomena (astro-ph.HE)
[PHYS]Physics [physics]
Signal processing
LISA
010308 nuclear & particles physics
Gravitational wave
Noise (signal processing)
Sparse approximation
gravitational radiation detector
3. Good health
General relativity
gravitational radiation: emission
[PHYS.GRQC]Physics [physics]/General Relativity and Quantum Cosmology [gr-qc]
Astrophysics - High Energy Astrophysical Phenomena
Astrophysics - Instrumentation and Methods for Astrophysics
[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]
Algorithm
Zdroj: Phys.Rev.D
Phys.Rev.D, 2020, 102 (10), pp.104053. ⟨10.1103/PhysRevD.102.104053⟩
Physical Review D
ISSN: 2470-0029
2470-0010
DOI: 10.1103/physrevd.102.104053
Popis: The detection of galactic binaries as sources of gravitational waves promises an unprecedented wealth of information about these systems, but also raises several challenges in signal processing. In particular the large number of expected sources and the risk of misidentification call for the development of robust methods. We describe here an original non-parametric reconstruction of the imprint of galactic binaries in measurements affected by instrumental noise typical of the space-based gravitational wave observatory LISA. We assess the impact of various approaches based on sparse signal modelling and focus on adaptive structured block sparsity. We carefully show that a sparse representation gives a reliable access to the physical content of the interferometric measurement. In particular we check the successful fast extraction of the gravitational wave signal on a simple yet realistic example involving verification galactic binaries recently proposed in LISA data challenges.
Comment: 21 pages, 16 figures. Code available at https://github.com/GW-IRFU/gw-irfu
Databáze: OpenAIRE
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