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Asimov: A framework for coordinating parameter estimation workflows

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arxiv 2207.01468 v1 pith:M4NZYOEG submitted 2022-07-04 gr-qc physics.data-an

Daniel Williams , John Veitch , Maria Luisa Chiofalo , Patricia Schmidt , Richard P. Udall , Avi Vajpeji , Charlie Hoy This is my paper · ORCID
classification gr-qcphysics.data-an
keywords numbersignalsanalysesadvancedasimovbeendetectedgravitational
verification ladder T0 review T1 audit T2 compute T3 formal
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Since the first detection in 2015 of gravitational waves from compact binary coalescence, improvements to the Advanced LIGO and Advanced Virgo detectors have expanded our view into the universe for these signals. Searches of the of the latest observing run (O3) have increased the number of detected signals to 90, at a rate of approximately 1 per week. Future observing runs are expected to increase this even further. Bayesian analysis of the signals can reveal the properties of the coalescing black holes and neutron stars by comparing predicted waveforms to the observed data. The proliferating number of detected signals, the increasing number of methods that have been deployed, and the variety of waveform models create an ever-expanding number of analyses that can be considered. Asimov is a python package which is designed to simplify and standardise the process of configuring these analyses for a large number of events. It has already been used in developing analyses in three major gravitational wave catalog publications.

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Forward citations

Cited by 2 Pith papers

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

  1. Searching for binary black hole mergers with deep learning in Advanced LIGO's third observing run

    gr-qc 2025-12 conditional novelty 5.0 of 10

    A hybrid matched-filter/deep-learning pipeline recovers 31 known O3 events and reports a new tentative high-mass candidate, with sensitivity comparable to existing searches only for chirp masses above 25 solar masses.

  2. Efficient reanalysis of events from GWTC-3 with RIFT and asimov

    astro-ph.HE 2024-12 accept novelty 5.0 of 10

    A reproducible RIFT/asimov workflow reanalyzes GWTC-3 events with four waveform models, confirming broad agreement but exposing event-specific systematic disagreements, notably in GW200129.

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