Tools for simulate TL Glow Curves
This library provides functions to simulate thermoluminescence (TL) glow curves using three kinetic models:
- First-order kinetics
- Second-order kinetics
- General-order kinetics (with the kinetic order
b)
It is intended for research and modeling of thermoluminescence phenomena.
Installation
Once the package is available on PyPI:
pip install mi_libreria_TL
Or if you are using the raw TL_kinetics.py file, simply place it in your project and import the functions:
from TL_kinetics import TL_first_order, TL_second_order, TL_general_order
Function Descriptions
TL_first_order(E, s, k, beta, n0, Npoints, T0, Tfinal)
Simulates a first-order TL glow peak.
TL_second_order(E, s, k, beta, N, n0, Npoints, T0, Tfinal)
Simulates a second-order TL glow peak.
TL_general_order(E, s, k, beta, n0, Npoints, T0, Tfinal, b=1.5)
Simulates a general-order TL glow peak.
Parameter Meaning
| Parameter | Units | Description |
|---|---|---|
E |
eV | Activation energy of the trap (depth below conduction band). |
s |
s⁻¹ | Frequency factor (attempt-to-escape frequency). |
k |
eV/K | Boltzmann constant (≈ 8.617 × 10⁻⁵ eV/K). |
beta |
K/s | Heating rate (temperature increase per second). |
n0 |
carriers | Initial number of trapped carriers at T0. |
N |
carriers | Total trap concentration (used in second-order kinetics). |
Npoints |
— | Number of temperature steps in the simulation. |
T0 |
K | Initial temperature (Kelvin). |
Tfinal |
K | Final temperature (Kelvin). |
b |
— | Kinetic order parameter (b=1 → first order, b=2 → second order, etc.). |
Example Usage
import matplotlib.pyplot as plt
from tl_models import TL_first_order, TL_second_order, TL_general_order
# Example parameters
E = 1.0 # eV, trap depth
s = 1e12 # s^-1, frequency factor
k = 8.617e-5 # eV/K, Boltzmann constant
beta = 1 # K/s, heating rate
N = 1e10 # total traps
n0 = N # assume all traps are filled initially
Npoints = 500
T0 = 273.15 + 25 # Initial temperature (298 K = 25 °C)
Tfinal = 273.15 + 250 # Final temperature (523 K = 250 °C)
# First-order TL
T1, I1 = TL_first_order(E, s, k, beta, n0, Npoints, T0, Tfinal)
# Second-order TL
T2, I2 = TL_second_order(E, s, k, beta, N, n0, Npoints, T0, Tfinal)
# General-order TL
Tg, Ig = TL_general_order(E, s, k, beta, n0, Npoints, T0, Tfinal, b=1.5)
# Plotting
import matplotlib.pyplot as plt
plt.plot(T1 - 273.15, I1, label="First-order")
plt.plot(T2 - 273.15, I2, label="Second-order")
plt.plot(Tg - 273.15, Ig, label="General-order (b=1.5)")
plt.xlabel("Temperature (°C)")
plt.ylabel("TL Intensity (a.u.)")
plt.legend()
plt.show()
Output
Each function returns:
T_eval: array of temperature values (K).I: array of simulated TL intensity values (arbitrary units).
You can directly plot T_eval vs I to visualize the TL glow peak.
Metadata
Release files for TL-kinetics 0.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
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Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| tl_kinetics-0.0.2-py3-none-any.whl | Python 3 | none | any | Details for tl_kinetics-0.0.2-py3-none-any.whl |
Total release size: 7.4 kB
Release files / tl_kinetics-0.0.2.tar.gz
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