Add SFR-Mstars plane python script

[angel-chandro]

Python script that generates the SFR vs stellar mass plane at z=0,1,2 with some additional observational data.

Summary by Sourcery

New Features:

• Introduce a Python script to generate the Star Formation Rate (SFR) versus stellar mass plane at redshifts z=0, 1, and 2, incorporating observational data.

[sourcery-ai]

Reviewer's Guide by Sourcery

This PR adds a new Python script that generates plots showing the relationship between Star Formation Rate (SFR) and stellar mass at different redshifts (z=0,1,2). The script creates a panel of three plots, each representing a different redshift, and includes observational data and theoretical fits for comparison. The implementation uses matplotlib for visualization and includes statistical utilities for data processing.

Class diagram for the SFR-Mstars plane script

classDiagram
    class SFRMstarsPanel {
        +observation
        +logger
        +GyrToYr
        +Zsun
        +XH
        +MpcToKpc
        +mlow
        +mupp
        +dm
        +mbins
        +xmf
        +imf
        +mlow2
        +mupp2
        +dm2
        +mbins2
        +xmf2
        +mlow3
        +mupp3
        +dm3
        +mbins3
        +xmf3
        +ssfrlow
        +ssfrupp
        +dssfr
        +ssfrbins
        +xssfr
        +sfrlow
        +sfrupp
        +dsfr
        +sfrbins
        +xsfr
        +size1
        +size2
        +stext
        +fsize
        +saxis
        +linw1
        +linw2
        +linw3
        +linw4
        +spad
        +spadx
        +spady
        +col
        +logMstars
        +sfms_fit_popesso23(t)
        +sfms_fit_schreiber15(m, z)
        +plot_sfms(plt, outdir, h0, omega_m, omega_b, obsdir, mainseqsf_1)
        +prepare_data(hdf5_data, index, mainseqsf)
        +main(modeldir, outdir, redshift_table, subvols, obsdir)
    }

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File-Level Changes

Change	Details	Files
Implementation of the main plotting functionality for SFR vs stellar mass	Created a panel of three plots using matplotlib GridSpec Added plotting of model predictions with error bands Implemented comparison with observational data from multiple sources Added theoretical fit lines from Popesso+23 and other studies	standard_plots/sfr_mstars_panel.py
Data processing and statistical analysis implementation	Added functions to prepare and bin the simulation data Implemented statistical calculations for median and percentile bands Created helper functions for theoretical SFR-mass relations	standard_plots/sfr_mstars_panel.py
Configuration and initialization setup	Defined constants and configuration parameters Set up mass function initialization parameters Added plot styling constants Implemented command-line argument parsing	standard_plots/sfr_mstars_panel.py

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[sourcery-ai]

Hey @angel-chandro - I've reviewed your changes - here's some feedback:

Overall Comments:

• Consider moving the plotting constants (sizes, line widths, colors, etc.) to a configuration file to improve maintainability and make the visualization parameters more easily adjustable.

Here's what I looked at during the review

• 🟡 General issues: 1 issue found
• 🟢 Security: all looks good
• 🟢 Testing: all looks good
• 🟡 Complexity: 1 issue found
• 🟢 Documentation: all looks good

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