# Research Papers Explaining Some of the Pipelines

**URL:** <https://ask.igwn.org/t/research-papers-explaining-some-of-the-pipelines/215>\
**Category:** Science Questions\
**Created:** [May 17, 2022, 3:57pm UTC](https://ask.igwn.org/t/research-papers-explaining-some-of-the-pipelines/215 "2022-05-17T15:57:04Z")\
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**Author:** ![shreejit](https://avatars.discourse-cdn.com/v4/letter/s/45deac/32.png) [@shreejit](https://ask.igwn.org/u/shreejit)\
**Post date:** [May 17, 2022, 3:57pm UTC](https://ask.igwn.org/t/research-papers-explaining-some-of-the-pipelines/215/1 "2022-05-17T15:57:04Z")

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Hello folks!  
For those of you who want to go deeper and understand the theory/implementation of certain terminologies that you may encounter while exploring various aspects of GW data analysis, here are a few useful research papers that explain the respective pipelines in detail.

**BAYESTAR** : _Singer et. al. (2016)_; ArXiv: [https://doi.org/10.48550/arXiv.1508.03634;](https://doi.org/10.48550/arXiv.1508.03634;) Publisher: [Phys. Rev. D 93, 024013 (2016) - Rapid Bayesian position reconstruction for gravitational-wave transients](https://doi.org/10.1103/PhysRevD.93.024013)  
**BayesWave** : _Cornish et. al. (2015)_; ArXiv: [https://doi.org/10.48550/arXiv.1410.3835;](https://doi.org/10.48550/arXiv.1410.3835;) Publisher: [ShieldSquare Captcha](https://doi.org/10.1088/0264-9381/32/13/135012)  
**BayesWave updates** : _Cornish et. al. (2021)_; ArXiv: [https://doi.org/10.48550/arXiv.2011.09494;](https://doi.org/10.48550/arXiv.2011.09494;) Publisher: [Phys. Rev. D 103, 044006 (2021) - BayesWave analysis pipeline in the era of gravitational wave observations](https://doi.org/10.1103/PhysRevD.103.044006)  
**Bilby** : _Ashton et. al. (2019)_; ArXiv: [https://doi.org/10.48550/arXiv.1811.02042;](https://doi.org/10.48550/arXiv.1811.02042;) Publisher: [ShieldSquare Captcha](https://doi.org/10.3847/1538-4365/ab06fc)  
**GWpy** : _Macleod et. al. (2021)_; Publisher: [Redirecting](https://doi.org/10.1016/j.softx.2021.100657)  
**PyCBC** : _Usman et. al. (2016)_; ArXiv: [https://doi.org/10.48550/arXiv.1508.02357;](https://doi.org/10.48550/arXiv.1508.02357;) Publisher: [ShieldSquare Captcha](https://doi.org/10.1088/0264-9381/33/21/215004)

This list is by no means an exhaustive one. You are always welcome to contribute to this thread.  
Happy learning!