Toward Robust Detections of Nanohertz Gravitational Waves

The recent observation of a common red-noise process in pulsar timing arrays (PTAs) suggests that the detection of nanohertz gravitational waves might be around the corner. However, in order to confidently attribute this red process to gravitational waves, one must observe the Hellings–Downs curve—t...

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Main Authors: Valentina Di Marco, Andrew Zic, Matthew T. Miles, Daniel J. Reardon, Eric Thrane, Ryan M. Shannon
Format: Article
Language:English
Published: IOP Publishing 2023-01-01
Series:The Astrophysical Journal
Subjects:
Online Access:https://doi.org/10.3847/1538-4357/acee71
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author Valentina Di Marco
Andrew Zic
Matthew T. Miles
Daniel J. Reardon
Eric Thrane
Ryan M. Shannon
author_facet Valentina Di Marco
Andrew Zic
Matthew T. Miles
Daniel J. Reardon
Eric Thrane
Ryan M. Shannon
author_sort Valentina Di Marco
collection DOAJ
description The recent observation of a common red-noise process in pulsar timing arrays (PTAs) suggests that the detection of nanohertz gravitational waves might be around the corner. However, in order to confidently attribute this red process to gravitational waves, one must observe the Hellings–Downs curve—the telltale angular correlation function associated with a gravitational-wave background. This effort is complicated by the complex modeling of pulsar noise. Without proper care, misspecified noise models can lead to false-positive detections. Background estimation using “quasi-resampling” methods such as sky scrambles and phase shifts, which use the data to characterize the noise, are therefore important tools for assessing significance. We investigate the ability of current PTA experiments to estimate their background with “quasi-independent” scrambles—characterized by a statistical “match” below the fiducial value: ∣ M ∣ < 0.1. We show that sky scrambling is affected by “saturation” after ${ \mathcal O }(10)$ quasi-independent realizations; subsequent scrambles are no longer quasi-independent. We show that phase scrambling saturates after ${ \mathcal O }(100)$ quasi-independent realizations. With so few independent scrambles, it is difficult to make reliable statements about the ≳5 σ tail of the null distribution of the detection statistic. We sketch out various methods by which one may increase the number of independent scrambles. We also consider an alternative approach, wherein one reframes the background estimation problem so that the significance is calculated using statistically dependent scrambles. The resulting p -value is in principle well defined, but may be susceptible to failure if assumptions about the data are incorrect.
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spelling doaj.art-8ae441d835134ffca00494012d12671d2023-10-03T15:47:49ZengIOP PublishingThe Astrophysical Journal1538-43572023-01-0195611410.3847/1538-4357/acee71Toward Robust Detections of Nanohertz Gravitational WavesValentina Di Marco0https://orcid.org/0000-0003-3432-0494Andrew Zic1https://orcid.org/0000-0002-9583-2947Matthew T. Miles2https://orcid.org/0000-0002-5455-3474Daniel J. Reardon3https://orcid.org/0000-0002-2035-4688Eric Thrane4https://orcid.org/0000-0002-4418-3895Ryan M. Shannon5https://orcid.org/0000-0002-7285-6348School of Physics and Astronomy, Monash University , Clayton VIC 3800, Australia ; valentina.dimarco@monash.edu; OzGrav: The ARC Centre of Excellence for Gravitational Wave Discovery , Clayton VIC 3800, Australia; CSIRO , Space and Astronomy, PO Box 76, Epping, NSW 1710, AustraliaCSIRO , Space and Astronomy, PO Box 76, Epping, NSW 1710, AustraliaCentre for Astrophysics and Supercomputing, Swinburne University of Technology , Hawthorn VIC 3122, Australia; OzGrav: The ARC Centre of Excellence for Gravitational Wave Discovery , Hawthorn VIC 3122, AustraliaCentre for Astrophysics and Supercomputing, Swinburne University of Technology , Hawthorn VIC 3122, Australia; OzGrav: The ARC Centre of Excellence for Gravitational Wave Discovery , Hawthorn VIC 3122, AustraliaSchool of Physics and Astronomy, Monash University , Clayton VIC 3800, Australia ; valentina.dimarco@monash.edu; OzGrav: The ARC Centre of Excellence for Gravitational Wave Discovery , Clayton VIC 3800, AustraliaCentre for Astrophysics and Supercomputing, Swinburne University of Technology , Hawthorn VIC 3122, Australia; OzGrav: The ARC Centre of Excellence for Gravitational Wave Discovery , Hawthorn VIC 3122, AustraliaThe recent observation of a common red-noise process in pulsar timing arrays (PTAs) suggests that the detection of nanohertz gravitational waves might be around the corner. However, in order to confidently attribute this red process to gravitational waves, one must observe the Hellings–Downs curve—the telltale angular correlation function associated with a gravitational-wave background. This effort is complicated by the complex modeling of pulsar noise. Without proper care, misspecified noise models can lead to false-positive detections. Background estimation using “quasi-resampling” methods such as sky scrambles and phase shifts, which use the data to characterize the noise, are therefore important tools for assessing significance. We investigate the ability of current PTA experiments to estimate their background with “quasi-independent” scrambles—characterized by a statistical “match” below the fiducial value: ∣ M ∣ < 0.1. We show that sky scrambling is affected by “saturation” after ${ \mathcal O }(10)$ quasi-independent realizations; subsequent scrambles are no longer quasi-independent. We show that phase scrambling saturates after ${ \mathcal O }(100)$ quasi-independent realizations. With so few independent scrambles, it is difficult to make reliable statements about the ≳5 σ tail of the null distribution of the detection statistic. We sketch out various methods by which one may increase the number of independent scrambles. We also consider an alternative approach, wherein one reframes the background estimation problem so that the significance is calculated using statistically dependent scrambles. The resulting p -value is in principle well defined, but may be susceptible to failure if assumptions about the data are incorrect.https://doi.org/10.3847/1538-4357/acee71Astronomy data analysisMillisecond pulsarsGravitational waves
spellingShingle Valentina Di Marco
Andrew Zic
Matthew T. Miles
Daniel J. Reardon
Eric Thrane
Ryan M. Shannon
Toward Robust Detections of Nanohertz Gravitational Waves
The Astrophysical Journal
Astronomy data analysis
Millisecond pulsars
Gravitational waves
title Toward Robust Detections of Nanohertz Gravitational Waves
title_full Toward Robust Detections of Nanohertz Gravitational Waves
title_fullStr Toward Robust Detections of Nanohertz Gravitational Waves
title_full_unstemmed Toward Robust Detections of Nanohertz Gravitational Waves
title_short Toward Robust Detections of Nanohertz Gravitational Waves
title_sort toward robust detections of nanohertz gravitational waves
topic Astronomy data analysis
Millisecond pulsars
Gravitational waves
url https://doi.org/10.3847/1538-4357/acee71
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