semvec/pypi-packages huggingface dataset:
tdmrsdm 2025.7.3
A Temperature-Dependent Multi-Relaxation Spectroscopic Dielectric Model (TD-MRSDM).
License: MIT License
Requires Python: >=3.7

# TD-MRSDM

[![Python Version](https://img.shields.io/badge/python-3.7%20|%203.8%20|%203.9-blue.svg)](https://www.python.org/downloads/)


This Python package, based on the paper titled [Spectroscopic Multirelaxation Dielectric Model of Thawed and Frozen Arctic Soils Considering the Dependence on Temperature and Organic Matter Content](https://doi.org/10.1134/S0001433819090305), provides an implementation of the temperature-dependent multi-relaxation spectroscopic dielectric model described in the paper. The model is designed for characterizing the dielectric properties of organic soil at frequencies ranging from 0.05 to 15 GHz under various temperature conditions.

<p float="center">
<img src="figures/TD-MRSDM.png" width="800">
</p>

## Installation

To use **TD-MRSDM**, you need to install it first. You can install it using `pip`:

```bash
pip install tdmrsdm
```

## Usage

Here's a simple example of how to use the smwlst package to compute LST:

```python
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from tdmrsdm import TDMRSDM


# Define temperature and MgCl2 concentration ranges
ssts = np.arange(-30, 26, 1)  # From -30 to 25 degrees Celsius
mvs = np.arange(0, 0.86, 0.01) # From 0 to 0.85

# Create empty lists to store results
epsr_values = []
epsi_values = []
moisture_values = []


# Loop through soil moisture content
for mv in mvs:
    for sst in ssts:
        mrsdm = TDMRSDM(freq_GHz=1.41, sst=sst, som=25, sbd=0.95, ssm=mv)
        eps = mrsdm.run()
        epsr, epsi = eps.real, eps.imag
        epsr_values.append(epsr[0]) # Access the first element because epsr is an array
        epsi_values.append(epsi[0]) # Access the first element because epsi is an array
        moisture_values.append(mv)


# Create the plot using seaborn
plt.figure(figsize=(10, 6))
sns.lineplot(x=moisture_values, y=epsr_values, label='Real Soil DC')
sns.lineplot(x=moisture_values, y=epsi_values, label='Imaginary Soil DC')

plt.xlabel('Soil Moisture (g/g)')
plt.ylabel('Soil DC')
plt.title('Real and Imaginary Soil DC as a Function of Soil Moisture')
plt.legend()
plt.grid(True)
plt.show()

```
<p float="center">
<img src="figures/soil_dc_vs_ssm.png" width="800">
</p>

>[!WARNING]
>**Copyright Notice:** This code is part of a PhD research program and is not licensed for public use or distribution yet! All rights are reserved by the author [**Morteza Khazaei**]. Unauthorized use, reproduction, or distribution of this code is prohibited without prior written permission from the author. For inquiries or collaboration, please contact [morteza.khazaei@usherbrooke.ca](morteza.khazaei@usherbrooke.ca).

## Authors

- [Morteza Khazaei - [morteza.khazaei@usherbrooke.ca]](https://github.com/Morteza-Khazaei)

## References

- [Mironov, V., & Savin, I. (2015). A temperature-dependent multi-relaxation spectroscopic dielectric model for thawed and frozen organic soil at 0.05–15 GHz. Physics and Chemistry of the Earth, Parts A/B/C, 83, 57-64.](https://doi.org/10.1016/j.pce.2015.02.011)