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Parameter estimates of GW150914 were obtained using Bayesian inference,
based on three semi-analytic waveform models for binary black hole
coalescences. These waveform models differ from each other in their
treatment of black hole spins, and all three models make some
simplifying assumptions, notably to neglect sub-dominant waveform
harmonic modes and orbital eccentricity. Furthermore, while the models
are calibrated to agree with waveforms obtained by full numerical
solutions of Einstein's equations, any such calibration is accurate only
to some non-zero tolerance and is limited by the accuracy of the
underlying phenomenology, availability, quality, and parameter-space
coverage of numerical simulations. This paper complements the original
analyses of GW150914 with an investigation of the effects of possible
systematic errors in the waveform models on estimates of its source
parameters. To test for systematic errors we repeat the original
Bayesian analysis on mock signals from numerical simulations of a series
of binary configurations with parameters similar to those found for
GW150914. Overall, we find no evidence for a systematic bias relative to
the statistical error of the original parameter recovery of GW150914 due
to modeling approximations or modeling inaccuracies. However, parameter
biases are found to occur for some configurations disfavored by the data
of GW150914: for binaries inclined edge-on to the detector over a small
range of choices of polarization angles, and also for eccentricities
greater than similar to 0.05. For signals with higher signal-to-noise
ratio than GW150914, or in other regions of the binary parameter space
(lower masses, larger mass ratios, or higher spins), we expect that
systematic errors in current waveform models may impact
gravitational-wave measurements, making more accurate models desirable
for future observations.
Effects of waveform model systematics on the interpretation of GW150914
Abbott;B. P. and Abbott;R. and Abbott;T. D. and Abernathy;M. R. and Acernese;F. and Ackley;K. and Adams;C. and Adams;T. and Addesso;P. and Adhikari;R. X. and Adya;V. B. and Affeldt;C. and Agathos;M. and Agatsuma;K. and Aggarwal;N. and Aguiar;O. D. and Aiello;L. and Ain;A. and Ajith;P. and Allen;B. and Allocca;A. and Altin;P. A. and Ananyeva;A. and Anderson;S. B. and Anderson;W. G. and Appert;S. and Arai;K. and Araya;M. C. and Areeda;J. S. and Arnaud;N. and Arun;K. G. and Ascenzi;S. and Ashton;G. and Ast;M. and Aston;S. M. and Astone;P. and Aufmuth;P. and Aulbert;C. and Avila-Alvarez;A. and Babak;S. and Bacon;P. and Bader;M. K. M. and Baker;P. T. and Baldaccini;F. and Ballardin;G. and Ballmer;S. W. and Barayoga;J. C. and Barclay;S. E. and Barish;B. C. and Barker;D. and Barone;F. and Barr;B. and Barsotti;L. and Barsuglia;M. and Barta;D. and Bartlett;J. and Bartos;I. and Bassiri;R. and Basti;A. and Batch;J. 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E. and Ossokine;S. and Scheel;M. and Szilagyi;B. and Teukolsky;S. and Vinuales;A. Vano and LIGO Sci Collaboration and LIGO Sci Collaboration and Virgo Collaboration
2017-01-01
Abstract
Parameter estimates of GW150914 were obtained using Bayesian inference,
based on three semi-analytic waveform models for binary black hole
coalescences. These waveform models differ from each other in their
treatment of black hole spins, and all three models make some
simplifying assumptions, notably to neglect sub-dominant waveform
harmonic modes and orbital eccentricity. Furthermore, while the models
are calibrated to agree with waveforms obtained by full numerical
solutions of Einstein's equations, any such calibration is accurate only
to some non-zero tolerance and is limited by the accuracy of the
underlying phenomenology, availability, quality, and parameter-space
coverage of numerical simulations. This paper complements the original
analyses of GW150914 with an investigation of the effects of possible
systematic errors in the waveform models on estimates of its source
parameters. To test for systematic errors we repeat the original
Bayesian analysis on mock signals from numerical simulations of a series
of binary configurations with parameters similar to those found for
GW150914. Overall, we find no evidence for a systematic bias relative to
the statistical error of the original parameter recovery of GW150914 due
to modeling approximations or modeling inaccuracies. However, parameter
biases are found to occur for some configurations disfavored by the data
of GW150914: for binaries inclined edge-on to the detector over a small
range of choices of polarization angles, and also for eccentricities
greater than similar to 0.05. For signals with higher signal-to-noise
ratio than GW150914, or in other regions of the binary parameter space
(lower masses, larger mass ratios, or higher spins), we expect that
systematic errors in current waveform models may impact
gravitational-wave measurements, making more accurate models desirable
for future observations.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11581/405204
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simulazione ASN
Il report seguente simula gli indicatori relativi alla propria produzione scientifica in relazione alle soglie ASN 2023-2025 del proprio SC/SSD. Si ricorda che il superamento dei valori soglia (almeno 2 su 3) è requisito necessario ma non sufficiente al conseguimento dell'abilitazione. La simulazione si basa sui dati IRIS e sugli indicatori bibliometrici alla data indicata e non tiene conto di eventuali periodi di congedo obbligatorio, che in sede di domanda ASN danno diritto a incrementi percentuali dei valori. La simulazione può differire dall'esito di un’eventuale domanda ASN sia per errori di catalogazione e/o dati mancanti in IRIS, sia per la variabilità dei dati bibliometrici nel tempo. Si consideri che Anvur calcola i valori degli indicatori all'ultima data utile per la presentazione delle domande.
La presente simulazione è stata realizzata sulla base delle specifiche raccolte sul tavolo ER del Focus Group IRIS coordinato dall’Università di Modena e Reggio Emilia e delle regole riportate nel DM 589/2018 e allegata Tabella A. Cineca, l’Università di Modena e Reggio Emilia e il Focus Group IRIS non si assumono alcuna responsabilità in merito all’uso che il diretto interessato o terzi faranno della simulazione. Si specifica inoltre che la simulazione contiene calcoli effettuati con dati e algoritmi di pubblico dominio e deve quindi essere considerata come un mero ausilio al calcolo svolgibile manualmente o con strumenti equivalenti.
Errore
Errore
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