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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)”.
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 a LOT of
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 MATHPOP for your own data, download and install the MATHPOP
R
package by running the following code in R
console.
devtools::install_github('davidolohowski/MATHPOP_R_pkg')
For a quick example of how to use MATHPOP, see this vignette.
The MATHPOP framework 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.
sessionInfo()
R version 4.3.2 (2023-10-31)
Platform: aarch64-apple-darwin20 (64-bit)
Running under: macOS Sonoma 14.1.1
Matrix products: default
BLAS: /Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/lib/libRblas.0.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/lib/libRlapack.dylib; LAPACK version 3.11.0
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
time zone: America/Toronto
tzcode source: internal
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] workflowr_1.7.1
loaded via a namespace (and not attached):
[1] jsonlite_1.8.8 compiler_4.3.2 promises_1.3.0 Rcpp_1.0.12
[5] stringr_1.5.1 git2r_0.33.0 assertthat_0.2.1 callr_3.7.6
[9] later_1.3.2 jquerylib_0.1.4 yaml_2.3.9 fastmap_1.2.0
[13] R6_2.5.1 knitr_1.48 tibble_3.2.1 rprojroot_2.0.4
[17] bslib_0.7.0 pillar_1.9.0 rlang_1.1.4 utf8_1.2.4
[21] cachem_1.1.0 stringi_1.8.4 httpuv_1.6.12 xfun_0.45
[25] getPass_0.2-4 fs_1.6.4 sass_0.4.9 cli_3.6.3
[29] magrittr_2.0.3 ps_1.7.7 digest_0.6.36 processx_3.8.4
[33] rstudioapi_0.16.0 lifecycle_1.0.4 vctrs_0.6.5 evaluate_0.24.0
[37] glue_1.7.0 whisker_0.4.1 klippy_0.0.0.9500 fansi_1.0.6
[41] rmarkdown_2.27 httr_1.4.7 tools_4.3.2 pkgconfig_2.0.3
[45] htmltools_0.5.8.1