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https://github.com/arjunsavel/scope
Simulating high-resolution cross-correlation spectroscopy of exoplanet atmospheres.
https://github.com/arjunsavel/scope
astronomy atmospheres exoplanets
Last synced: about 1 month ago
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Simulating high-resolution cross-correlation spectroscopy of exoplanet atmospheres.
- Host: GitHub
- URL: https://github.com/arjunsavel/scope
- Owner: arjunsavel
- License: mit
- Created: 2023-08-08T20:49:25.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-11-20T18:14:24.000Z (about 2 months ago)
- Last Synced: 2024-11-20T19:24:37.192Z (about 2 months ago)
- Topics: astronomy, atmospheres, exoplanets
- Language: Python
- Homepage: https://scope-astr.readthedocs.io
- Size: 314 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 16
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
Awesome Lists containing this project
README
# scope
[](https://scope-astr.readthedocs.io/en/latest/?badge=latest)
[](https://opensource.org/licenses/MIT)
[](https://github.com/psf/black)
[](https://github.com/pre-commit/pre-commit)
[](https://github.com/arjunsavel/scope/actions/workflows/codeql.yml)
[](https://github.com/arjunsavel/scope/actions/workflows/python-package.yml)
[](https://codecov.io/gh/arjunsavel/scope)
[](https://codeclimate.com/github/arjunsavel/scope/maintainability)
Simulating high-resolution cross-correlation spectroscopy for exoplanet atmospheres. Currently supports simulating IGRINS (on GEMINI-S) 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.
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