Subtraction-noise projection in gravitational-wave detector networks

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autorschaft

  • Jan Harms
  • Christoph Mahrdt
  • Markus Otto
  • Malte Prieß

Organisationseinheiten

Externe Organisationen

  • Max-Planck-Institut für Gravitationsphysik (Albert-Einstein-Institut)
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Aufsatznummer123010
Seitenumfang25
FachzeitschriftPhysical Review D - Particles, Fields, Gravitation and Cosmology
Jahrgang77
Ausgabenummer12
PublikationsstatusVeröffentlicht - 23 Juni 2008

Abstract

In this paper, we present a successful implementation of a subtraction-noise projection method into a simple, simulated data analysis pipeline of a gravitational-wave search. We investigate the problem to reveal a weak stochastic background signal which is covered by a strong foreground of compact-binary coalescences. The foreground, which is estimated by matched filters, has to be subtracted from the data. Even an optimal analysis of foreground signals will leave subtraction noise due to estimation errors of template parameters which may corrupt the measurement of the background signal. The subtraction noise can be removed by a noise projection. We apply our analysis pipeline to the proposed future-generation space-borne Big Bang Observer mission which seeks for a stochastic background of primordial gravitational waves in the frequency range ∼0.1Hz-1Hz covered by a foreground of black-hole and neutron-star binaries. Our analysis is based on a simulation code which provides a dynamical model of a time-delay interferometer network. It generates the data as time series and incorporates the analysis pipeline together with the noise projection. Our results confirm previous ad hoc predictions which say that the Big Bang Observer will be sensitive to backgrounds with fractional energy densities below Ω=10-16.

ASJC Scopus Sachgebiete

Zitieren

Subtraction-noise projection in gravitational-wave detector networks. / Harms, Jan; Mahrdt, Christoph; Otto, Markus et al.
in: Physical Review D - Particles, Fields, Gravitation and Cosmology, Jahrgang 77, Nr. 12, 123010, 23.06.2008.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Harms J, Mahrdt C, Otto M, Prieß M. Subtraction-noise projection in gravitational-wave detector networks. Physical Review D - Particles, Fields, Gravitation and Cosmology. 2008 Jun 23;77(12):123010. doi: 10.1103/PhysRevD.77.123010, 10.48550/arXiv.0803.0226
Harms, Jan ; Mahrdt, Christoph ; Otto, Markus et al. / Subtraction-noise projection in gravitational-wave detector networks. in: Physical Review D - Particles, Fields, Gravitation and Cosmology. 2008 ; Jahrgang 77, Nr. 12.
Download
@article{8afacbb3ac814e4689ae1f54a508c4ab,
title = "Subtraction-noise projection in gravitational-wave detector networks",
abstract = "In this paper, we present a successful implementation of a subtraction-noise projection method into a simple, simulated data analysis pipeline of a gravitational-wave search. We investigate the problem to reveal a weak stochastic background signal which is covered by a strong foreground of compact-binary coalescences. The foreground, which is estimated by matched filters, has to be subtracted from the data. Even an optimal analysis of foreground signals will leave subtraction noise due to estimation errors of template parameters which may corrupt the measurement of the background signal. The subtraction noise can be removed by a noise projection. We apply our analysis pipeline to the proposed future-generation space-borne Big Bang Observer mission which seeks for a stochastic background of primordial gravitational waves in the frequency range ∼0.1Hz-1Hz covered by a foreground of black-hole and neutron-star binaries. Our analysis is based on a simulation code which provides a dynamical model of a time-delay interferometer network. It generates the data as time series and incorporates the analysis pipeline together with the noise projection. Our results confirm previous ad hoc predictions which say that the Big Bang Observer will be sensitive to backgrounds with fractional energy densities below Ω=10-16.",
author = "Jan Harms and Christoph Mahrdt and Markus Otto and Malte Prie{\ss}",
year = "2008",
month = jun,
day = "23",
doi = "10.1103/PhysRevD.77.123010",
language = "English",
volume = "77",
journal = "Physical Review D - Particles, Fields, Gravitation and Cosmology",
issn = "1550-7998",
publisher = "American Institute of Physics",
number = "12",

}

Download

TY - JOUR

T1 - Subtraction-noise projection in gravitational-wave detector networks

AU - Harms, Jan

AU - Mahrdt, Christoph

AU - Otto, Markus

AU - Prieß, Malte

PY - 2008/6/23

Y1 - 2008/6/23

N2 - In this paper, we present a successful implementation of a subtraction-noise projection method into a simple, simulated data analysis pipeline of a gravitational-wave search. We investigate the problem to reveal a weak stochastic background signal which is covered by a strong foreground of compact-binary coalescences. The foreground, which is estimated by matched filters, has to be subtracted from the data. Even an optimal analysis of foreground signals will leave subtraction noise due to estimation errors of template parameters which may corrupt the measurement of the background signal. The subtraction noise can be removed by a noise projection. We apply our analysis pipeline to the proposed future-generation space-borne Big Bang Observer mission which seeks for a stochastic background of primordial gravitational waves in the frequency range ∼0.1Hz-1Hz covered by a foreground of black-hole and neutron-star binaries. Our analysis is based on a simulation code which provides a dynamical model of a time-delay interferometer network. It generates the data as time series and incorporates the analysis pipeline together with the noise projection. Our results confirm previous ad hoc predictions which say that the Big Bang Observer will be sensitive to backgrounds with fractional energy densities below Ω=10-16.

AB - In this paper, we present a successful implementation of a subtraction-noise projection method into a simple, simulated data analysis pipeline of a gravitational-wave search. We investigate the problem to reveal a weak stochastic background signal which is covered by a strong foreground of compact-binary coalescences. The foreground, which is estimated by matched filters, has to be subtracted from the data. Even an optimal analysis of foreground signals will leave subtraction noise due to estimation errors of template parameters which may corrupt the measurement of the background signal. The subtraction noise can be removed by a noise projection. We apply our analysis pipeline to the proposed future-generation space-borne Big Bang Observer mission which seeks for a stochastic background of primordial gravitational waves in the frequency range ∼0.1Hz-1Hz covered by a foreground of black-hole and neutron-star binaries. Our analysis is based on a simulation code which provides a dynamical model of a time-delay interferometer network. It generates the data as time series and incorporates the analysis pipeline together with the noise projection. Our results confirm previous ad hoc predictions which say that the Big Bang Observer will be sensitive to backgrounds with fractional energy densities below Ω=10-16.

UR - http://www.scopus.com/inward/record.url?scp=46149126213&partnerID=8YFLogxK

U2 - 10.1103/PhysRevD.77.123010

DO - 10.1103/PhysRevD.77.123010

M3 - Article

AN - SCOPUS:46149126213

VL - 77

JO - Physical Review D - Particles, Fields, Gravitation and Cosmology

JF - Physical Review D - Particles, Fields, Gravitation and Cosmology

SN - 1550-7998

IS - 12

M1 - 123010

ER -