https://github.com/arjunsavel/scope
Simulating high-resolution cross-correlation spectroscopy of exoplanet atmospheres.
Science Score: 46.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
-
✓Academic publication links
Links to: arxiv.org -
✓Committers with academic emails
3 of 4 committers (75.0%) from academic institutions -
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (15.5%) to scientific vocabulary
Keywords
Repository
Simulating high-resolution cross-correlation spectroscopy of exoplanet atmospheres.
Basic Info
- Host: GitHub
- Owner: arjunsavel
- License: mit
- Language: Python
- Default Branch: main
- Homepage: https://scope-astr.readthedocs.io
- Size: 447 KB
Statistics
- Stars: 3
- Watchers: 1
- Forks: 2
- Open Issues: 29
- Releases: 8
Topics
Metadata Files
README.md
scope
Simulating high-resolution cross-correlation spectroscopy for exoplanet atmospheres. Currently supports simulating IGRINS (on Gemini-S), IGRINS-2 (on Gemini-N), and CRIRES+ (on the VLT) observations of transmission and emission spectra.
installation
You can install scope using pip:
pip install scope-astr
To install from source, run
python3 -m pip install -U pip
python3 -m pip install -U setuptools setuptools_scm pep517
git clone https://github.com/arjunsavel/scope
cd scope
python3 -m pip install -e .
You'll also need to download some data files. Currently, these data files are about 141 MB large. You can download them (to the correct directory, even!) with the following:
cd src/scope
chmod +x download_data.bash
./download_data.bash
This will create a data directory and plop the relevant files into it. You're also welcome to run the tests to
make sure everything's been installed correctly:
pytest .
workflow
For more details, see the documentation.
Ideally, most user interaction with scope will simply occur through the input file (scope/input.txt).
Any data field in a row marked with the [DB] flag can be pulled from a local database by inputting DATABASE. In our case, a database simply refers
to a CSV containing contents from the Exoplanet Archive,
with planet parameters resolved with the planet name. You can also specify most arguments from the command line, overwriting the input file.
Simply edit the input file to the desired parameters, then run:
python run_simulation.py
Running the script requires exoplanet, stellar, and telluric spectra. Default spectra and parameters currently correspond to the exoplanet WASP-77Ab.
Once completed, the code will create a directory for the data in output/ (based on the input modelname)
with the following types of files:
- simdata_: the simulated flux cube with PCA performed. That is, the principal components with the largest variance have been removed.
- nopca_simdata_: the simulated flux cube, including all spectral components (exoplanet, star, blaze function, tellurics).
- A_noplanet_: the simulated flux cube with the lowest-variance principal component(s) removed.
- lls_: the log-likelihood surface for the simulated flux cube, as a Kp--Vsys map.
- ccfs_: the cross-correlation function for the simulated flux cube, as a Kp--Vsys map.
attribution
If you use scope in your work, please cite our paper: https://arxiv.org/abs/2411.07303
Owner
- Name: Arjun Savel
- Login: arjunsavel
- Kind: user
- Company: @astroumd
- Website: https://www.arjunsavel.com
- Twitter: arjunsavel
- Repositories: 44
- Profile: https://github.com/arjunsavel
PhD candidate at UMD, College Park | exoplanet atmospheres 🪐
GitHub Events
Total
- Create event: 32
- Release event: 4
- Issues event: 61
- Watch event: 3
- Delete event: 2
- Issue comment event: 63
- Push event: 91
- Pull request event: 47
- Fork event: 2
Last Year
- Create event: 32
- Release event: 4
- Issues event: 61
- Watch event: 3
- Delete event: 2
- Issue comment event: 63
- Push event: 91
- Pull request event: 47
- Fork event: 2
Committers
Last synced: 9 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| arjunsavel | a****l@g****m | 350 |
| Arjun Savel | a****l@l****u | 7 |
| Arjun Savel | a****l@l****u | 2 |
| Arjun Savel | a****l@l****u | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 7 months ago
All Time
- Total issues: 45
- Total pull requests: 40
- Average time to close issues: about 2 months
- Average time to close pull requests: about 10 hours
- Total issue authors: 1
- Total pull request authors: 1
- Average comments per issue: 0.82
- Average comments per pull request: 0.6
- Merged pull requests: 29
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 30
- Pull requests: 40
- Average time to close issues: about 21 hours
- Average time to close pull requests: about 10 hours
- Issue authors: 1
- Pull request authors: 1
- Average comments per issue: 0.57
- Average comments per pull request: 0.6
- Merged pull requests: 29
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- arjunsavel (71)
Pull Request Authors
- arjunsavel (79)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
-
Total downloads:
- pypi 12 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 3
- Total maintainers: 1
pypi.org: scope-astr
Simulating high-resolution spectroscopy of exoplanet atmospheres.
- Homepage: https://github.com/arjunsavel/scope
- Documentation: https://scope-astr.readthedocs.io/en/latest/
- License: MIT
-
Latest release: 0.4.4b0
published over 1 year ago
Rankings
Maintainers (1)
Dependencies
- nbsphinx *
- sphinx_book_theme *
- exoplanet *
- jax *
- numba *
- numpy *
- scikit-learn *
- scipy *
- tqdm *