galactic-dtd
Source for Dubay et al. (2024), "Galactic Chemical Evolution Models Favor an Extended Type Ia Supernova Delay-Time Distribution"
Science Score: 67.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 5 DOI reference(s) in README -
✓Academic publication links
Links to: arxiv.org, zenodo.org -
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (12.7%) to scientific vocabulary
Repository
Source for Dubay et al. (2024), "Galactic Chemical Evolution Models Favor an Extended Type Ia Supernova Delay-Time Distribution"
Basic Info
Statistics
- Stars: 2
- Watchers: 1
- Forks: 1
- Open Issues: 0
- Releases: 3
Metadata Files
README.md
Welcome to the repository for Dubay et al. (2024), "Galactic Chemical Evolution Models Favor an Extended Type Ia Supernova Delay-Time Distribution", arXiv:2404.08059.
To re-build the article yourself, simply run the following from the repository
directory:
$ showyourwork build
The data and model outputs will automatically be downloaded from Zenodo deposit
10.5281/zenodo.10961090.
To re-create the APOGEE sample with Leung et al. (2023) age estimates,
run the following:
$ python generate_sample.py
This will replace everything in the src/data/APOGEE directory.
To re-run all models yourself, run the following:
$ python run_all_models.py
This will replace everything in the src/data/multizone directory, including
the output files from Zenodo.
Source code for the models is located within the src/scripts/multizone/ directory.
To run a single multi-zone model with custom parameters, run the following:
$ cd src/scripts
$ python -m multizone [OPTIONS...]
In particular, code for the stellar migration prescription is contained within the gaussian_migration class
located at
src/scripts/multizone/src/migration.py.
The figures in the paper do not cover every possible combination of SFH + DTD. The following script
generates supplementary plots for every multi-zone model available:
$ cd src/scripts
$ python extra_plots.py
The multi-panel plots show age vs [O/Fe], [O/Fe] vs [Fe/H], MDFs, and [O/Fe] DFs for each Galactic region,
plus a plot showing the [O/Fe] bimodality. Plots are located in the src/extra directory with the
following structure:
<migration scheme>/<sfh model>/<dtd model>/.
Owner
- Name: Liam Dubay
- Login: lodubay
- Kind: user
- Repositories: 4
- Profile: https://github.com/lodubay
Citation (CITATION.cff)
cff-version: 1.2.0
message: "If you make use of the results in this paper, please cite it as below."
authors:
- family-names: "Last Name"
given-names: "First Name"
orcid: "https://orcid.org/0000-0000-0000-0000"
title: "Repository title"
version: 0.0.0
doi: "N/A"
date-released: "N/A"
url: "N/A"
preferred-citation:
type: article
authors:
- family-names: "Last Name"
given-names: "First Name"
orcid: "https://orcid.org/0000-0000-0000-0000"
doi: "N/A"
journal: "Journal Name"
month: "Jan"
start: 0
title: "Article title"
issue: 0
volume: 0
year: 0
GitHub Events
Total
Last Year
Dependencies
- actions/checkout v3 composite
- showyourwork/showyourwork-action v1 composite
- actions/checkout v3 composite
- showyourwork/showyourwork-action v1 composite
- showyourwork/showyourwork-action/process-pull-request v1 composite
- astropy >=5.1
- dill >=0.2.0
- jinja2 >=3.1.0
- numpy >=1.24.0
- pandas >=1.5.0
- pip >=23.1.0
- python 3.10.0.*
- scikit-learn >=1.2.0
- tqdm >=4.65.0