Academic Journal
Accelerating the standard siren method: Improved constraints on modified gravitational-wave propagation with future data.
| Τίτλος: | Accelerating the standard siren method: Improved constraints on modified gravitational-wave propagation with future data. |
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| Συγγραφείς: | Tagliazucchi, Matteo, Moresco, Michele, Borghi, Nicola, Fiebig, Manfred |
| Πηγή: | Astronomy & Astrophysics / Astronomie et Astrophysique; 2025, Vol. 702, p1-13, 13p |
| Θεματικοί όροι: | Gravitational waves, Bayesian analysis, Physical cosmology, Gravitational wave detectors, Gravitation, Parallel programs (Computer programs) |
| Εταιρία/Οντότητα: | Laser Interferometer Gravitational-Wave Observatory |
| Περίληψη: | Gravitational waves (GWs) from compact binary mergers have emerged as one of the most promising probes of cosmology and general relativity (GR). However, a major challenge in fully exploiting GWs as "standard sirens" with current and future GW observatories is developing efficient and robust codes capable of analyzing the increasing data volumes that are, and will be, acquired. Here, we present CHIMERA2.0, an advanced computational framework for hierarchical Bayesian inference of cosmological, modified gravity, and population hyperparameters using standard sirens and galaxy catalogs. This upgrade introduces novel GPU-accelerated algorithms to estimate the hierarchical likelihood, enabling the analysis of thousands of events – crucial for next-generation experiments – and includes the two-parameter (Ξ |
| Copyright of Astronomy & Astrophysics / Astronomie et Astrophysique is the property of EDP Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Βάση Δεδομένων: | Complementary Index |
| FullText | Links: – Type: other Text: Availability: 0 |
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| Header | DbId: edb DbLabel: Complementary Index An: 189428918 RelevancyScore: 1023 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 1023.09039306641 |
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| Items | – Name: Title Label: Title Group: Ti Data: Accelerating the standard siren method: Improved constraints on modified gravitational-wave propagation with future data. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Tagliazucchi%2C+Matteo%22">Tagliazucchi, Matteo</searchLink><br /><searchLink fieldCode="AR" term="%22Moresco%2C+Michele%22">Moresco, Michele</searchLink><br /><searchLink fieldCode="AR" term="%22Borghi%2C+Nicola%22">Borghi, Nicola</searchLink><br /><searchLink fieldCode="AR" term="%22Fiebig%2C+Manfred%22">Fiebig, Manfred</searchLink> – Name: TitleSource Label: Source Group: Src Data: Astronomy & Astrophysics / Astronomie et Astrophysique; 2025, Vol. 702, p1-13, 13p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Gravitational+waves%22">Gravitational waves</searchLink><br /><searchLink fieldCode="DE" term="%22Bayesian+analysis%22">Bayesian analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Physical+cosmology%22">Physical cosmology</searchLink><br /><searchLink fieldCode="DE" term="%22Gravitational+wave+detectors%22">Gravitational wave detectors</searchLink><br /><searchLink fieldCode="DE" term="%22Gravitation%22">Gravitation</searchLink><br /><searchLink fieldCode="DE" term="%22Parallel+programs+%28Computer+programs%29%22">Parallel programs (Computer programs)</searchLink> – Name: SubjectCompany Label: Company/Entity Group: Su Data: <searchLink fieldCode="CO" term="%22Laser+Interferometer+Gravitational-Wave+Observatory%22">Laser Interferometer Gravitational-Wave Observatory</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Gravitational waves (GWs) from compact binary mergers have emerged as one of the most promising probes of cosmology and general relativity (GR). However, a major challenge in fully exploiting GWs as "standard sirens" with current and future GW observatories is developing efficient and robust codes capable of analyzing the increasing data volumes that are, and will be, acquired. Here, we present CHIMERA2.0, an advanced computational framework for hierarchical Bayesian inference of cosmological, modified gravity, and population hyperparameters using standard sirens and galaxy catalogs. This upgrade introduces novel GPU-accelerated algorithms to estimate the hierarchical likelihood, enabling the analysis of thousands of events – crucial for next-generation experiments – and includes the two-parameter (Ξ<subscript>0</subscript> − n) modified GW propagation model, where Ξ<subscript>0</subscript> governs the amplitude of the modification (Ξ<subscript>0</subscript> = 1 corresponds to GR). Using CHIMERA2.0, we forecast cosmological and modified GW propagation constraints for a scenario similar to the future LIGO-Virgo-KAGRA O5 run. We analyze three binary black-hole populations of 300 events at S/N > 20, each with a different value of Ξ<subscript>0</subscript>: 0.6, 1 (corresponding to GR), and 1.8. Multiple analyses were performed each catalog, comprising a population of approximately 5000 events, thanks to CHIMERA2.0, which is 10–1000 times faster depending on the settings and catalog size. We jointly infer cosmological, modified GW propagation, and population hyperparameters. With spectroscopic galaxy catalogs, the fiducial Ξ<subscript>0</subscript> is recovered with a precision of 22%, 7.5%, and 10% for Ξ<subscript>0</subscript> = 0.6, 1, and 1.8, respectively; while the precision on H<subscript>0</subscript> is 2 − 7 times worse than when Ξ<subscript>0</subscript> is not inferred. Finally, in the case of photometric redshifts the constraints degrade on average by 3.5 times in all cases, underscoring the importance of future spectroscopic surveys in maximizing the constraining power of standard sirens. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Astronomy & Astrophysics / Astronomie et Astrophysique is the property of EDP Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1051/0004-6361/202554827 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 1 Subjects: – SubjectFull: Laser Interferometer Gravitational-Wave Observatory Type: general – SubjectFull: Gravitational waves Type: general – SubjectFull: Bayesian analysis Type: general – SubjectFull: Physical cosmology Type: general – SubjectFull: Gravitational wave detectors Type: general – SubjectFull: Gravitation Type: general – SubjectFull: Parallel programs (Computer programs) Type: general Titles: – TitleFull: Accelerating the standard siren method: Improved constraints on modified gravitational-wave propagation with future data. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Tagliazucchi, Matteo – PersonEntity: Name: NameFull: Moresco, Michele – PersonEntity: Name: NameFull: Borghi, Nicola – PersonEntity: Name: NameFull: Fiebig, Manfred IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: 2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 00046361 Numbering: – Type: volume Value: 702 Titles: – TitleFull: Astronomy & Astrophysics / Astronomie et Astrophysique Type: main |
| ResultId | 1 |