semvec/pypi-packages huggingface dataset:
kt17py 0.0.2
A Python wrapper to the FORTRAN code for the KT17 dynamic magnetic field model for Mercury's magnetosphere
License: MIT
Requires Python: >=2.7

# kt17py

A Python wrapper to the FORTRAN code for the KT17 dynamic magnetic field model for Mercury's magnetosphere.

See Korth, H., Johnson, C. L., Philpott, L.,Tsyganenko, N. A., & Anderson, B. J.(2017). A dynamic model of Mercury’s
magnetospheric magnetic field. Geophysical Research Letters, 44. https://doi.org/10.1002/2017GL074699

![Alt text](/kt17py.png?raw=true "KT17 Magnetosphere")

# How to use

```python
import numpy as np
from kt17py.kt17 import *

kt17 = Kt17(0.39,50.0)
xyz_msm = np.array([[-2.0,0.0,0.5]])
b_msm = kt17.bfield(xyz_msm)
```

# Testing builds

Since kt17py contains Fortran files that need to be compiled before use, the tests are currently run against the version
of kt17py (if any) found on current PYTHONPATH.

```console
python -m unittest tests/kt17.py
```
pyradiobiology 1.0.33
pyradiobiology is a package for radiobiological modeling (TCP, NTCP, EUD, gEUD) with Python.
License: MIT
Keywords: radiation,oncology,radiobiology,linear quadratic,LQ,TCP,NTCP,LKB,relative seriality

# pyRadioBiology
It is a package for radiobiological modeling (TCP, NTCP, EUD, gEUD) with Python.
pyradiobiology provides:
- Linear quadratic model for survival fraction and biological effective dose calculation
- Tumor Control Probability (TCP) models: linear-quadratic Poisson, empirical Poisson
- Normal Tissue Complication Probability (NTCP) model: Relative seriality (RS), Lyman-Kutcher-Burman (LKB)
- Generalized Equi-effective Uniform Dose (gEUD), Equi-effective Uniform Dose (EUD)

All pyradiobiology wheels distributed on PyPI are MIT licensed.