EHT 2018 M87* Visibility Domain Analysis

Authors: The Event Horizon Telescope Collaboration et al.
Primary Reference: The Event Horizon Telescope Collaboration, et al. 2024, A&A, 681, A79
Data Product Code: 2024-D01-01

Brief Description: This is a script that produces a series of posterior samples for the various geometric models used in the analysis of the 2018 M87 data. The primary workhorse is a Bayesian modeling package for radio astronomy applications¹.

The data for this analysis is available on the EHT website (data release ID: 2024-D01-01).

Additional References:

EHT Collaboration Data Portal Website: https://eventhorizontelescope.org/for-astronomers/data
2018 M87 Paper 1: The Event Horizon Telescope Collaboration, et al. 2024, A&A, 681, A79
Juliaup Repo: https://github.com/JuliaLang/juliaup
Comrade.jl: https://github.com/ptiede/Comrade.jl
Dynesty: https://dynesty.readthedocs.io/en/stable/

Pre-requisites

Julia < 1.9

juliaup add 1.9.4
juliaup default 1.9.4

Running

The script that generates the data for this analysis is located in src/sample_models.jl. This script lists all the models used in the 2018 M87* analysis, and samples the posterior for each model using dynesty².

Edit the sample_models.jl file in the src/ folder to point to your directory of data files.
Include the number of child processes you want to use for parallel computation.

References

Tiede, P. (2022). Comrade: Composable Modeling of Radio Emission. Journal of Open Source Software, 7(76), 4457. doi:10.21105/joss.04457 ↩
Speagle, J. S. (2020). DYNESTY: a dynamic nested sampling package for estimating Bayesian posteriors and evidences. \mnras, 493(3), 3132–3158. doi:10.1093/mnras/staa278 ↩