Pith. sign in

REVIEW 4 cited by

pySEOBNR: a software package for the next generation of effective-one-body multipolar waveform models

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2303.18203 v1 pith:SRJYN3FI submitted 2023-03-31 gr-qc

Deyan P. Mihaylov , Serguei Ossokine , Alessandra Buonanno , Hector Estelles , Lorenzo Pompili , Michael Pürrer , Antoni Ramos-Buades This is my paper · ORCID
classification gr-qc
keywords pyseobnrmodelspackagewaveformbinariescompact-objectcontainseffective-one-body
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

We present pySEOBNR, a Python package for gravitational-wave (GW) modeling developed within the effective-one-body (EOB) formalism. The package contains an extensive framework to generate state-of-the-art inspiral-merger-ringdown waveform models for compact-object binaries composed of black holes and neutron stars. We document and demonstrate how to use the built-in quasi-circular precessing-spin model SEOBNRv5PHM, whose aligned-spin limit (SEOBNRv5HM) has been calibrated to numerical-relativity simulations and the nonspinning sector to gravitational self-force data using pySEOBNR. Furthermore, pySEOBNR contains the infrastructure necessary to construct, calibrate, test, and profile new waveform models in the EOB approach. The efficiency and flexibility of pySEOBNR will be crucial to overcome the data-analysis challenges posed by upcoming and next-generation GW detectors on the ground and in space, which will afford the possibility to observe all compact-object binaries in our Universe.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 4 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Searching for intermediate mass ratio binary black hole mergers in the third observing run of LIGO-Virgo-KAGRA

    gr-qc 2025-07 conditional novelty 6.0 of 10

    No confident intermediate mass ratio inspirals are found in LIGO-Virgo-KAGRA O3 data, yielding 90% upper limits of roughly 30-1000 Gpc^-3 yr^-1 on their local merger rate and showing higher modes boost search volume b...

  2. Black-hole - neutron-star mergers: new numerical-relativity simulations and multipolar effective-one-body model with spin precession and eccentricity

    gr-qc 2025-06 conditional novelty 6.0 of 10

    A new catalog of 52 numerical-relativity BHNS merger simulations is used to calibrate TEOBResumS-Dalí, an improved effective-one-body waveform model with multipolar ringdown, spin precession, and eccentricity.

  3. Statistical identification of ringdown modes with rational filters

    gr-qc 2025-05 conditional novelty 6.0 of 10

    A frequentist false-alarm framework for rational-filter ringdown analysis is validated on numerical relativity waveforms and shows only marginal evidence for the 221 overtone in GW150914.

  4. PhenomXPNR: An improved gravitational wave model linking precessing inspirals and NR-calibrated merger-ringdown

    gr-qc 2025-07 conditional novelty 4.0 of 10

    PhenomXPNR is a fast frequency-domain gravitational-wave template for spinning black-hole mergers that combines post-Newtonian inspiral precession with numerical-relativity-calibrated merger and ringdown.

Pith tools