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bilby [2022/02/05 11:24]
theoastro created 		bilby [2022/08/30 14:34] (current)
theoastro
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 ===== Tutorial for Bilby ===== ===== Tutorial for Bilby =====
  
-[[https://lscsoft.docs.ligo.org/bilby/#|Bilby]] is a user-friendly Bayesian inference library developed Gregory Ashton and others [[https://arxiv.org/pdf/1811.02042|[1]]]+Bilby is a user-friendly Bayesian inference library developed by Gregory Ashton et al. (2018) [[https://arxiv.org/pdf/1811.02042|[1]]]. The aim of bilby is to provide a user-friendly interface to perform gravitational-wave parameter estimation for compact binary coalescence events. Plesae note that bilby is explained in-depth [[https://lscsoft.docs.ligo.org/bilby/#|here]] whereas basic functionalities are depicted here. 
  
-The aim of bilby is to provide a user-friendly interface to perform parameter estimation. It is primarily designed and built for inference of compact binary coalescence events in interferometric data, but it can also be used for more general problems. +  * [[basics_GWinf|Basics of Inference]] 
- +  * [[bilbyfw_install|Installation]] 
- +  * [[pbilby_gen|Parallel Bilby Generation]] 
- +  * [[pbilby_ana|Parallel Bilby Analysis]] 
-The NMMA package is a multi-messenger python framework developed by Peter T. H. Pang and provides a possibility to perform multi-messenger inference related tasks. The framework is still under active development.  +  * [[gw_routines|Further Routines]]
- +
-  * [[installation_nmma|Installation of NMMA]] +
-  * [[injections_nmma|Injections]]+
Last modified: le 2022/02/05 11:24

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