Skip to main content

program for the analysis of physical processes of OSL curves

Project description

OSL_ANALYSIS

A comprehensive simulation program for analyzing photostimulation, irradiation, thermal washing, and optical washing processes in optically and thermally stimulated materials.

Author

EDWIN JOEL PILCO QUISPE
Email: edwinpilco10@gmail.com

Description

This package provides a sophisticated computational framework for modeling charge carrier dynamics in materials subjected to optical and thermal stimulation. It implements advanced physical models for optically stimulated luminescence (OSL) and radiation dosimetry applications.

Key Features

Multi-Process Simulation

  • Photostimulation Analysis: Wavelength-dependent photoionization cross-section calculations with Gaussian light source simulation
  • Irradiation Modeling: Trap filling dynamics during radiation exposure with competition effects
  • Thermal Washing: Thermal release of trapped charges using the TTOR (Two-Trap One-Recombination center) model
  • Optical Washing: Combined thermal–optical stimulation effects analysis

Advanced Physical Models

  • Extended TTOR model with three eV electron traps (user selected)
  • Temperature-dependent detrapping via Arrhenius equation
  • Wavelength-dependent photoionization probabilities
  • Charge neutrality verification and validation

Flexible Input System

Supports:

  • Single values: 470
  • Ranges: 300,400,25
  • Multiple values: 300-350-400

Output

  • Three-panel diagnostic plots per simulation
  • Publication-quality PNG images (300 DPI)
  • Tab-delimited text files (Origin / Excel compatible)
  • Pandas DataFrames
  • Automatic Google Colab download support

Scientific Applications

  • Radiation dosimetry and OSL dosimeter characterization
  • Material science defect studies

Installation

From PyPI

python -m pip install OSL_ANALYSIS

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

osl_analysis-0.1.3.tar.gz (11.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

osl_analysis-0.1.3-py3-none-any.whl (13.8 kB view details)

Uploaded Python 3

File details

Details for the file osl_analysis-0.1.3.tar.gz.

File metadata

  • Download URL: osl_analysis-0.1.3.tar.gz
  • Upload date:
  • Size: 11.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.1

File hashes

Hashes for osl_analysis-0.1.3.tar.gz
Algorithm Hash digest
SHA256 d8c49d5d8fed51f4733c89b232a461cb9eacd5f2f6c561009a1864e45735d50e
MD5 70efc442656bc86d5fb24c496646f0b4
BLAKE2b-256 ba665fe7bacd054d479cc4da3f32b2650ece19d735c7f7eb575a05c76763091a

See more details on using hashes here.

File details

Details for the file osl_analysis-0.1.3-py3-none-any.whl.

File metadata

  • Download URL: osl_analysis-0.1.3-py3-none-any.whl
  • Upload date:
  • Size: 13.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.1

File hashes

Hashes for osl_analysis-0.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 e76be7fbfa9ec44732f97c2279930462ee0fdc95b6d3b5352ad98b31212c9eed
MD5 4c0b0867e93a4c3321b4f3233c93dba9
BLAKE2b-256 cbf683bf1eaaa97cfc5ff74f2a14d53c1352dbf44f56e758fff30f4d7d0f331a

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page