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-0.1.1.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-0.1.1-py3-none-any.whl (13.6 kB view details)

Uploaded Python 3

File details

Details for the file osl_analysis-0.1.1.tar.gz.

File metadata

  • Download URL: osl_analysis-0.1.1.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-0.1.1.tar.gz
Algorithm Hash digest
SHA256 0b34b6604d59b8cd0abbc4d770255aa8ef2fc24a673d679456bb22bd7a645f7b
MD5 ff50c60ae684c690f695986132593471
BLAKE2b-256 4c81453a4cf24e9a013dd9f9c80d51bb92dcda7a6ec200bb1e4f46a6dcd60a32

See more details on using hashes here.

File details

Details for the file osl_analysis-0.1.1-py3-none-any.whl.

File metadata

  • Download URL: osl_analysis-0.1.1-py3-none-any.whl
  • Upload date:
  • Size: 13.6 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-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 ebf2481afc17d38ea4580e172127df8e6052ca8050b82641ecc08d442641fa82
MD5 b73520be2402211022ad10f6bafec787
BLAKE2b-256 7f9a111dc0cfc971df7e1ca8aec6abc2f227f1a4827ebbb88e5e92a0d37bb7c1

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