Characterization of systematic error in Advanced LIGO calibration

Sun, L.; Goetz, E.; Kissel, J. S.; Betzwieser, J.; Karki, S.; Viets, A. D.; Wade, L. E.; Bhattacharjee, D.; Bossilkov, V.; Covas, P. B.; Datrier, L. E. H.; Gray, R.; Kandhasamy, S.; Lecoeuche, Y. K.; Mendell, G.; Mistry, T.; Payne, E.; Savage, R. L.; Weinstein, A. J.; Aston, S. M.; Buikema, A.; Cahillane, C.; Driggers, J. C.; Dwyer, S. E.; Kumar, Rahul; Urban, Alexander

doi:10.1088/1361-6382/abb14e

Cited by 149 publications

(201 citation statements)

References 50 publications

Supporting

Mentioning

200

Contrasting

Order By: Relevance

“…It is in this last step where the systematic error of the calibration is potentially relevant. Systematic error in the amplitude of calibration of C01 data (final calibration version) is estimated to be lower than 7% (68% confidence interval) for both detectors over all frequencies throughout O3a [20]. Relative deviations of ASDs computed using C00 data with respect to ASDs computed using C01 data (used as a proxy for an estimate of systematic error in C00 data calibration, which, otherwise, does not exist for all time or frequencies) are below 7% for all frequency bands except in the [59,61] Hz subband, where the relative deviation is 10%.…”

Section: Sensitivitymentioning

confidence: 95%

“…Hardware injections, on the other hand, are artificial quasimonochromatic signals consistently injected into both detectors in order to mimic the effects of an actual CW signal present in both detectors. They are used to verify expected detector response and characterize calibrated data [20]. Both of these artificial signals may interfere with CW searches in general, showing up as significant candidates due to their high strength in the detector spectrum.…”

Section: Data Usedmentioning

confidence: 99%

See 1 more Smart Citation

All-sky search in early O3 LIGO data for continuous gravitational-wave signals from unknown neutron stars in binary systems

Abbott¹,

Abbott²,

Abraham³

et al. 2021

Phys. Rev. D

Self Cite

View full text Add to dashboard Cite

Link to publication on Research at Birmingham portal General rightsUnless a licence is specified above, all rights (including copyright and moral rights) in this document are retained by the authors and/or the copyright holders. The express permission of the copyright holder must be obtained for any use of this material other than for purposes permitted by law.• Users may freely distribute the URL that is used to identify this publication.• Users may download and/or print one copy of the publication from the University of Birmingham research portal for the purpose of private study or non-commercial research.• User may use extracts from the document in line with the concept of 'fair dealing' under the Copyright, Designs and Patents Act 1988 (?) • Users may not further distribute the material nor use it for the purposes of commercial gain.Where a licence is displayed above, please note the terms and conditions of the licence govern your use of this document.When citing, please reference the published version. Take down policyWhile the University of Birmingham exercises care and attention in making items available there are rare occasions when an item has been uploaded in error or has been deemed to be commercially or otherwise sensitive.

show abstract

Section: Sensitivitymentioning

confidence: 95%

Section: Data Usedmentioning

confidence: 99%

All-sky search in early O3 LIGO data for continuous gravitational-wave signals from unknown neutron stars in binary systems

Abbott¹,

Abbott²,

Abraham³

et al. 2021

Phys. Rev. D

Self Cite

View full text Add to dashboard Cite

show abstract

“…This version has non-linear subtraction [75] of 60 Hz power lines applied to it. We also use the power spectral densities (PSDs) [76,77] and calibration uncertainties [78] included in v11 of the posterior sample release [79] for the event. We analyse 8 s of strain data from each of the Hanford, Livingston and Virgo detectors around the trigger time of the event, as reported in GraceDB [80].…”

Section: Methodology For Our Parameter Estimation Analysismentioning

confidence: 99%

Towards the routine use of subdominant harmonics in gravitational-wave inference: Reanalysis of GW190412 with generation X waveform models

et al. 2021

View full text Add to dashboard Cite

We re-analyse the gravitational-wave event GW190412 with state-of-the-art phenomenological waveform models. This event, which has been associated with a black hole merger, is interesting due to the significant contribution from subdominant harmonics. We use both frequency-domain and time-domain waveform models. The PhenomX waveform models constitute the fourth generation of frequency-domain phenomenological waveforms for black hole binary coalescence; they have more recently been complemented by the time-domain PhenomT models, which open up new strategies to model precession and eccentricity, and to perform tests of general relativity with the phenomenological waveforms approach. Both PhenomX and PhenomT have been constructed with similar techniques and accuracy goals, and due to their computational efficiency this "generation X" model family allows the routine use of subdominant spherical harmonics in Bayesian inference. We show the good agreement between these and other state-of-the-art waveform models for GW190412, and discuss the improvements over the previous generation of phenomenological waveform models. We also discuss practical aspects of Bayesian inference such as run convergence, variations of sampling parameters, and computational cost.

show abstract

“…We inject the simulated signals into a zero-noise LIGO-Virgo three-detector network with a sensitivity representative of the first three months of the third observing run [138][139][140]. We marginalize over calibration uncertainties [141][142][143] using the representative values reported in [4] and start the likelihood integration at 20 Hz. Our signal hypotheses will be two phenomenological waveform models IMRPhenomD (nonprecessing) [144,145] and IMRPhenomPv2 (precessing) [146].…”

Section: Bayesian Inference and Model Selectionmentioning

confidence: 99%

Measuring precession in asymmetric compact binaries

Pratten

Schmidt

Buscicchio

et al. 2020

Phys. Rev. Research

View full text Add to dashboard Cite

Gravitational-wave observations of merging compact binaries hold the key to precision measurements of the objects' masses and spins. General relativistic precession, caused by spins misaligned with the orbital angular momentum, is considered a crucial tracer for determining the binary's formation history and environment and it also improves mass estimates; its measurement is therefore of particular interest with wide-ranging implications. Precession leaves a characteristic signature in the emitted gravitational-wave signal that is even more pronounced in binaries with highly unequal masses. The recent observations of GW190412 and GW190814 have confirmed the existence of such asymmetric compact binaries. Here we perform a systematic study to assess the confidence in measuring precession in gravitational-wave observations of high-mass-ratio binaries and our ability to measure the mass of the lighter companion in neutron-star-black-hole-type systems. Using Bayesian model selection, we show that precession can be decisively identified for low-mass binaries with mass ratios as low as 1:3 and mildly precessing spins with magnitudes 0.4, even in the presence of systematic waveform errors.

show abstract

Characterization of systematic error in Advanced LIGO calibration

Cited by 149 publications

References 50 publications

All-sky search in early O3 LIGO data for continuous gravitational-wave signals from unknown neutron stars in binary systems

All-sky search in early O3 LIGO data for continuous gravitational-wave signals from unknown neutron stars in binary systems

Towards the routine use of subdominant harmonics in gravitational-wave inference: Reanalysis of GW190412 with generation X waveform models

Measuring precession in asymmetric compact binaries

Contact Info

Product

Resources

About