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Treffer: Event rate estimates for LISA extreme mass ratio capture sources

Title:
Event rate estimates for LISA extreme mass ratio capture sources
Authors:
GAIR, Jonathan R, BARACK, Leor, CREIGHTON, Teviet, CUTLER, Curt, LARSON, Shane L, PHINNEY, E. Sterl, VALLISNERI, Michele
Source:
Proceedings of the 8th gravitational wave data analysis workshop, Milwaukee, WI, USA, 17-20 December 2003Classical and quantum gravity (Print). 21(20):S1595-S1606
Publisher Information:
Bristol: Institute of Physics, 2004.
Publication Year:
2004
Physical Description:
print, 30 ref
Original Material:
INIST-CNRS
Subject Terms:
Theoretical physics, Physique théorique, Sciences exactes et technologie, Exact sciences and technology, Physique, Physics, Generalites, General, Relativité générale et gravitation, General relativity and gravitation, Méthodes d'approximation; équations du mouvement, Approximation methods; equation of motion, Approximation post-newtonienne; théorie des perturbations; approximations reliées, Post-newtonian approximation; perturbation theory; related approximations, Terre, ocean, espace, Earth, ocean, space, Astronomie, Astronomy, Astronomie fondamentale et astrophysique. Instrumentation, techniques, et observations astronomiques, Fundamental astronomy and astrophysics. Instrumentation, techniques, and astronomical observations, Instruments d'astronomie et de recherche spatiale, Astronomical and space-research instrumentation, Détecteurs de rayonnement gravitationnel; spectromètres de masse; et autres instruments et techniques, Gravitational radiation detectors; mass spectrometers; and other instrumentation and techniques, Analyse donnée, Data analysis, Cosmologie, Cosmology, Durée vie, Lifetime, Déplacement vers le rouge, Red shift, Objet compact, Compact objects, Onde gravitationnelle, Gravitational waves, Rapport masse, Mass ratio, Relación masa, Rapport signal bruit, Signal-to-noise ratio, Rayonnement gravitationnel, Gravitational radiation, Trou noir supermassif, Supermassive black hole, Agujero negro supermasivo
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Theoretical Astrophysics, California Institute of Technology, Pasadena, CA 91125, United States
Department of Physics and Astronomy and Center for Gravitational Wave Astronomy, University of Texas at Brownsville, Brownsville, TX 78520, United States
LIGO Laboratory, California Institute of Technology, Pasadena, CA 91125, United States
Max-Planck-Institut fuer Gravitationsphysik, Albert-Einstein-Institut, Am Muchlenberg 1, 14476 Golm bei Potsdam, Germany
Space Radiation Laboratory, California Institute of Technology, Pasadena, CA 91125, United States
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, United States
ISSN:
0264-9381
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=16210568
Rights:
Copyright 2005 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Astronomy

Theoretical physics
Accession Number:
edscal.16210568
Database:
PASCAL Archive

Weitere Informationen

One of the most exciting prospects for the LISA gravitational wave observatory is the detection of gravitational radiation from the inspiral of a compact object into a supermassive black hole. The large inspiral parameter space and low amplitude of the signal make detection of these sources computationally challenging. We outline here a first-cut data analysis scheme that assumes realistic computational resources. In the context of this scheme, we estimate the signal-to-noise ratio that a source requires to pass our thresholds and be detected. Combining this with an estimate of the population of sources in the universe, we estimate the number of inspiral events that LISA could detect. The preliminary results are very encouraging-with the baseline design, LISA can see inspirals out to a redshift z = 1 and should detect over a thousand events during the mission lifetime.