This readme was generated on 2025-11-4 by djcalve2

# GENERAL INFORMATION

Title: Turbulence in Core-Collapse Supernovae

This data set accompanies the following publication:
https://doi.org/10.3847/1538-4357/ae1475
in The Astrophysical Journal


## Contact Information
Name: Carla Frohlich
ORCID: 0000-0003-0191-2477
Institution: North Carolina State University, Raleigh, NC, USA
Email: cfrohli@ncsu.edu



# SHARING/ACCESS INFORMATION

License: Creative Commons Attribution No Derivatives 4.0 International
DOI (data): 10.5281/zenodo.17555447
DOI (publication): 10.3847/1538-4357/ae1475


# DATA AND FILE OVERVIEW

## Data Files

Files: s15.txt, s20.txt, s23.txt, s27.txt

Format: csv

Data description:
- Data files for each progenitor (s15.txt, s20.txt, s23.txt, s27.txt)
  * Columns: 
  - filenumber [-]
  - post bounce time [s]
  - minimum shock radius [km] 
  - average shock radius [km] 
  - maximum shock radius [km] 
  - minimum gain radius calcualted with electron neutrinos [km]
  - average gain radius calcualted with electron neutrinos [km]
  - maximum gain radius calcualted with electron neutrinos [km] 
  - minimum gain radius calcualted with antielectron neutrinos [km]
  - average gain radius calcualted with antielectron neutrinos [km]
  - maximum gain radius calcualted with antielectron neutrinos [km]
  - minimum proto-neutron-star radius [km]
  - average proto-neutron-star radius [km]
  - maximum proto-neutron-star radius [km]
  - net electron neutrino heating rate [erg/s]
  - neutrino heating efficiency eta [-]
  - electron-neutrino luminosity [erg/s] 
  - electron-antineutrino luminosity [erg/s]
  - mass below the shock [M_solar]
  - mass in the gain region [M_solar]
  - proto-neutron-star mass [M_solar]


## Python script for plotting:

Figure_5.py

Python packages required:
- numpy
- matplotlib
- cmasher


(EOF)
