Metadata-Version: 2.4
Name: kisosub
Version: 0.1.0.dev1
Summary: Isotope fractionation model for HDO in pure hexagonal water ice (ice Ih)
Author: Veneranda Lopez Dias, Laurent CHION
Author-email: Veneranda Lopez Dias <veneranda.lopezdias@list.lu>, Laurent CHION <laurent.chion@list.lu>
License-Expression: MIT
License-File: LICENSE.md
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Dist: matplotlib>=3.11.1
Requires-Dist: pandas>=3.0.5
Requires-Dist: scikit-learn>=1.9.0
Requires-Dist: scipy>=1.18.0
Requires-Dist: seaborn>=0.13.2
Requires-Python: >=3.14
Project-URL: Homepage, https://git.list.lu/exo-hydrology/kisosub
Description-Content-Type: text/markdown

# Kisosub

Kinetic isotope fractionation during sublimation

A Python package for computing **isotope fractionation of HDO** (semi-heavy water, ¹H²HO)
during sublimation and deposition of pure hexagonal water ice (ice Ih), over the
temperature range relevant to planetary surfaces and icy-body atmospheres (~90–273 K).

This package is under development, at the moment you can only the notebooks to see some calculation.
We plan to expose some functions for making some calculation reusable in an easier way.

## Get started

### Create the developement environment

### With [uv](https://docs.astral.sh/uv/) (recommended)

To create the development environment you can use the tool [uv](https://docs.astral.sh/uv/)

To download the dependencies:
```bash
uv sync --all-groups
```

Then you can run jupyter lab to run notebooks:
```bash
uv run jupyter lab
```

### With conda, pip or other tools

You can find the list of the dependencies and specific version in the `pyproject.toml` file

## Funding declaration

This work was funded by LuxIMPULSE, Luxembourg national program managed by the Luxembourg Space Agency and implemented by the European Space Agency, ISOMOON grant (ZYAJH; ESA RFP/3-15942/19/NL/MH/mg), and by FNR CORE program, LUNAQUA grant (C21/SR/16167289)

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