https://github.com/hpparvi/ExoIris
Transmission Spectroscopy Made Easy
Science Score: 26.0%
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Low similarity (12.8%) to scientific vocabulary
Keywords
Repository
Transmission Spectroscopy Made Easy
Basic Info
Statistics
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 4
- Releases: 4
Topics
Metadata Files
README.md
ExoIris: Transmission Spectroscopy Made Easy
ExoIris is a user-friendly Python package designed to simplify and accelerate the analysis of transmission spectroscopy data for exoplanets. The package can estimate a self-consistent medium-resolution transmission spectrum with uncertainties from JWST NIRISS data in minutes, even when using a Gaussian Process-based noise model.
Documentation
Read the docs at exoiris.readthedocs.io.
Key Features
- Fast modelling of spectroscopic transit time series: ExoIris uses PyTransit's advanced
TSModeltransit model that is specially tailored for fast and efficient modelling of spectroscopic transit (or eclipse) time series. - Flexible handling of limb darkening: The stellar limb darkening can be modelled freely either by any of the standard limb darkening laws (quadratic, power-2, non-linear, etc.), by numerical stellar intensity profiles obtained directly from stellar atmosphere models, or by an arbitrary ser-defined radially symmetric function.
- Handling of Correlated noise: The noise model can be chosen between white or time-correlated noise, where the time-correlated noise is modelled as a Gaussian process.
- Model saving and loading: Seamless model saving and loading allows one to create a high-resolution analysis starting from a saved low-resolution analysis.
- Full control of resolution: ExoIris represents the transmission spectrum as a cubic spline, with complete flexibility to set and modify the number and placement of spline knots, allowing variable resolution throughout the analysis.
Details
ExoIris uses PyTransit's TSModel, a transit model that is specially optimised for transmission spectroscopy and allows
for simultaneous modelling of hundreds to thousands of spectroscopic light curves 20-30 times faster than when using
standard transit models not explicitly designed for transmission spectroscopy.
A complete posterior solution for a low-resolution transmission spectrum with a data resolution of R=100 takes 3-5 minutes to estimate assuming white noise, or 5-15 minutes if using a Gaussian process-based likelihood model powered by the celerite2 package. A high-resolution spectrum of the JWST NIRISS WASP-39 b observations by Feinstein et al. (2023) with ~3800 spectroscopic light curves (as shown above) takes about 1.5 hours to optimise and sample on a three-year-old AMD Ryzen 7 5800X with eight cores.
© 2024 Hannu Parviainen
Owner
- Name: Hannu Parviainen
- Login: hpparvi
- Kind: user
- Location: La Laguna, Tenerife, Spain
- Company: Instituto de Astrofísica de Canarias (IAC)
- Repositories: 42
- Profile: https://github.com/hpparvi
Ramón y Cajal Fellow studying exoplanets in the Instituto de Astrofísica de Canarias.
GitHub Events
Total
- Create event: 11
- Release event: 4
- Issues event: 7
- Watch event: 1
- Issue comment event: 2
- Push event: 33
Last Year
- Create event: 11
- Release event: 4
- Issues event: 7
- Watch event: 1
- Issue comment event: 2
- Push event: 33
Issues and Pull Requests
Last synced: 10 months ago
All Time
- Total issues: 3
- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 1
- Total pull request authors: 0
- Average comments per issue: 0.0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 3
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 1
- Pull request authors: 0
- Average comments per issue: 0.0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- rluquer (3)
- daframe2r (1)
- hpparvi (1)
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- pypi 101 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 15
- Total maintainers: 1
pypi.org: exoiris
Easy and robust exoplanet transmission spectroscopy.
- Documentation: https://exoiris.readthedocs.io/
- License: GPLv3
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Latest release: 0.18.0
published over 1 year ago
Rankings
Maintainers (1)
Dependencies
- actions/checkout v4 composite
- actions/setup-python v3 composite
- astropy *
- celerite2 *
- ipykernel *
- ldtk *
- matplotlib *
- nbsphinx *
- numba *
- numpy *
- numpydoc *
- pandas *
- pydata-sphinx-theme *
- pytransit *
- scipy *
- seaborn *
- sphinx-book-theme *
- xarray *
- astropy *
- celerite2 *
- ldtk *
- matplotlib *
- numba *
- numpy *
- pandas *
- pytransit *
- scipy *
- seaborn *
- xarray *