Last updated: 2024-07-06
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Knit directory: MATHPOP/
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Welcome to MATHPOP, a R software for inferring globular
cluster (GC) counts in low-surface brightness galaxies (LSBGs) and
ultra-diffuse galaxies (UDGs). The R code in this repo is
written based on the framework of MArk-dependently THinned POint Process
(MATHPOP) proposed by Li et al. (2024), “Discovery of Two
Ultra-Diffuse Galaxies with Unusually Bright Globular Cluster Luminosity
Functions via a Mark-Dependently Thinned Point Process
(MATHPOP)”.
If you have not used R before, R is a
powerful open source language designed for statistical computing and
data analysis. Download R at The Comprehensive R Archive Network
(CRAN) and RStudio.
R is the base language environment that executes all
programs and code. RStudio is an integrated user interface
wrapper that makes the base R easy to use (similar to
Jupyter Notebook for Python).
If you are an absolute beginner of R, there are too many
resources and tutorials teaching how to use R. The best (in
my opinion) resource is the book ‘R for Data Science’ by Hadley Wickham,
and here is a free online version
of the book.
To use the code for your own data, go to the MATHPOP Github repo and
download the repository. The R code to fit the MATHPOP
model is contained in the code/ directory. The
data/ directory contains the GC data analyzed in the
original paper.
For a quick example of how to use MATHPOP, see this vignette.
The MATHPOP method also proposes to use a probabilistic GC catalog, see this tutorial on how to obtain a probabilistic GC catalog from point sources.
This repo also contains various vignettes for the main analysis done in different sections of the Li et al. (2024) paper, and they are all reproducible and accessible in this repo.