# GWs event parameter estimation posterior

**URL:** <https://ask.igwn.org/t/gws-event-parameter-estimation-posterior/1135>\
**Category:** Data Analysis\
**Tags:** odw-2022, conda\
**Created:** [November 8, 2024, 9:56pm UTC](https://ask.igwn.org/t/gws-event-parameter-estimation-posterior/1135 "2024-11-08T21:56:16Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![Raghad](https://yyz1.discourse-cdn.com/flex031/user_avatar/ask.igwn.org/raghad/32/336_2.png) [@Raghad](https://ask.igwn.org/u/Raghad)\
**Post date:** [November 8, 2024, 9:56pm UTC](https://ask.igwn.org/t/gws-event-parameter-estimation-posterior/1135/1 "2024-11-08T21:56:17Z")

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Hello.  
I have some questions about the h5 datasets files that I found in LIGO documentation  
Regarding the parameter estimation posterior events of the released datasets, what is the essential difference between a Cosmos datatype and a non-Cosmos datatype?

What datasets are usually used in research, and how do I know which model analysis to use for each event?

What are the crucial points about the event datasets for events falling in the lower mass gap?

Thank you!

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**Author:** ![jonah](https://yyz1.discourse-cdn.com/flex031/user_avatar/ask.igwn.org/jonah/32/10_2.png) [@jonah](https://ask.igwn.org/u/jonah)\
**Post date:** [December 17, 2024, 5:16pm UTC](https://ask.igwn.org/t/gws-event-parameter-estimation-posterior/1135/2 "2024-12-17T17:16:14Z")

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Hi,

The docs for the posterior sample files are in the [zenodo release](https://zenodo.org/records/8177023).

In particular:

> There are two .h5 files per event
> 
> - Cosmologically reweighted (\*cosmo.h5)
> - Not cosmologically reweighted (\*nocosmo.h5)

> The cosmologically reweighted posteriors are reweighted to have a luminosity-distance prior that has a uniform merger rate in the source’s comoving frame. See the [paper](http://dcc.ligo.org/LIGO-P2000318/public) appendices for further information.

In general, I would recommend the “cosmologically reweighted” samples, since those should better account for red-shift effects.
