Daniel Williams
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Asimov: a toolkit for managing and automating parameter estimation

Project news

21 Jun 2021

GWTC-2: introducing 39 new gravitational waves

I remember as a child religiously reading the Argos catalogue; probably sometimes looking for Christmas presents, but often just looking at how many things you could possibly buy from one shop. As I got older I started to wonder how on earth they managed to put such a large catalogue together. Five years after the first detection of a gravitational wave signal, I have a little insight into just how hard the latter process is, and a little more appreciation for how much the Universe has to offer.

25 May 2021

Asimov v0.3.0 now available!

The latest release of asimov is now available from our gitlab server, as well as being available on pypi.

Related publications

2021

GWTC-3: Compact Binary Coalescences Observed by LIGO and Virgo During the Second Part of the Third Observing Run


The third Gravitational-wave Transient Catalog (GWTC-3) describes signals detected with Advanced LIGO and Advanced Virgo up to the end of their third observing run. Updating the previous GWTC-2.1, ...

2022

GWTC-2.1: Deep Extended Catalog of Compact Binary Coalescences Observed by LIGO and Virgo During the First Half of the Third Observing Run


The second gravitational-wave transient catalog, GWTC-2, reported on 39 compact binary coalescences observed by the Advanced LIGO and Advanced Virgo detectors between 1 April 2019 15:00 UTC and 1 O...

2021

GWTC-2: Compact Binary Coalescences Observed by LIGO and Virgo During the First Half of the Third Observing Run

Physical Review X
We report on gravitational-wave discoveries from compact binary coalescences detected by Advanced LIGO and Advanced Virgo in the first half of the third observing run (O3a) between 1 April 2019 15∶...

Project name: asimov

Find it on GitHub

Dates: 2020-02 - Present

Project Status: Ongoing

Project Description
Modern gravitational wave analysis can involve multiple analysis pipelines operating over dozens or even hundreds of events. Managing this at scale is a challenge; asimov is designed to simplify the construction and monitoring of analyses.

Daniel Williams

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