This is the Git location that I will be using for my work trying to fit the Mass function for Star Clusters in M33.
I will be utilizing MCMC simulations to fit both a Schechtar function and power law distributions to the data to see which provides a better fit.
The Analysis will follow that of Johnson et. al 2017 http://adsabs.harvard.edu/abs/2017ApJ...839...78J
The M31_MF_replication folder is proof of concept where I am testing the code I wrote against the results from M31. The data from this analysis is provided in apendix A of Johnson et. al 2016 https://doi.org/10.3847%2F0004-637x%2F827%2F1%2F33
M51 is the notebook that I look at the calalog from Messa+ 2018 https://arxiv.org/pdf/1709.06101.pdf, and incoroprate randomn spread within each clusters error bar.
There will be a series of different codes that I be using, each building in complexty of the previous. The first: Schectar_Fuction_wo_cpn is the simplist form of the Schectar Function, (insert function here) Then second: incporating the observational completeness function while still not dealing with the normalization (Schectar_Function_wc_nn). Finally: incorperating both the observational completeness and the normalization (Schectar_Function_w/every)
Also included is a code that only fits a power law opposed to the Schectar Function. (Power_Law_Distribution_Fitting)
I will then push the final working code to the main repository to use on M33 data.