Skip to main content

Package for radiation shielding modelling.

Project description

particleShield

particleShield is a Python library designed to facilitate radiation shielding calculations. It provides a set of functions and utilities to determine the amount of radiation absorbed by different shielding materials for different types of radiation.

Features

This Python code provides a set of functions to perform various calculations related to radiation physics, including:

  • Half-value layer (HVL) calculation
  • Buildup factor calculation
  • Dose rate calculation
  • Radiation attenuation calculation
  • Bethe-Bloch equation for energy loss
  • Bragg curve generation

Requirements

  • Python 3.7
  • NumPy
  • Matplotlib

Installation

  1. Make sure you have Python 3.7 installed on your system.

  2. Install the required dependencies by running the following command:

    pip numpy as np, matplotlib.pyplot as plt
    
  3. Download the particleShield library and import it in your project.

Usage

The package can then be imported using:

import particleShield

Ionizing Radiation

particleShield provides multiple functions for calculation of radiation protection and dosimetry for different types of ionizing radiation.

#Calculate the half-value layer
hvl = particleShield.calculate_hvl(initial_intensity, attenuation_factor)

#Calculate the buildup factor
buildup_factor = particleShield.calculate_buildup_factor(penetration_depth, attenuation_factor)

#Calculate the dose rate
dose_rate = particleShield.calculate_dose_rate(intensity, conversion_factor, time, distance)

#Calculate radiation attenuation
attenuated_intensity = particleShield.calculate_attenuation(I0, mu, x)

Beth-Bloch equation

The Bethe-Bloch equation is used to calculate the energy loss of charged particles (e.g., electrons, protons, alpha particles) as they pass through a material. It describes how these particles lose energy through ionization and excitation of atoms in the material.

#Calculate energy loss using the Bethe-Bloch equation for Protons in Air
kinetic_energy = 100  # MeV
charge = 1  # Elementary charge units
atomic_mass = 28.09  # g/mol
atomic_number = 14
ionization_potential = 78  # eV

energy_loss = bethe_bloch(kinetic_energy, charge, atomic_mass, atomic_number, ionization_potential)
print("Energy Loss:", energy_loss, "MeV/cm")

Output: Energy Loss: -4.297 MeV/cm

Bragg Curve

The Bragg curve is a graphical representation that illustrates how the energy deposition of charged particles varies with depth as they traverse a material.

#Generate the Bragg curve for protons in air
alpha = 0.1666  # MeV/(g/cm^2)
p = 1.76        # g/cm^2
shallowest_depth = 10.0  # cm
deepest_depth = 15.0     # cm

generate_bragg_curve(alpha, p, shallowest_depth, deepest_depth)

Bragg curve for protons in air:

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

particleShield-0.0.4.tar.gz (4.9 kB view details)

Uploaded Source

Built Distribution

particleShield-0.0.4-py3-none-any.whl (5.5 kB view details)

Uploaded Python 3

File details

Details for the file particleShield-0.0.4.tar.gz.

File metadata

  • Download URL: particleShield-0.0.4.tar.gz
  • Upload date:
  • Size: 4.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.2

File hashes

Hashes for particleShield-0.0.4.tar.gz
Algorithm Hash digest
SHA256 da206769f9ecf08eba8eda0d442a0330cc1c626c8707d8f1311fe661731b92a4
MD5 ed951da480e2af130adc2dbf699e5c81
BLAKE2b-256 52d178e6b43f8e0b7dee75237dffd6bc87db4ee6ad3d2d31c72a92297c613ed9

See more details on using hashes here.

File details

Details for the file particleShield-0.0.4-py3-none-any.whl.

File metadata

File hashes

Hashes for particleShield-0.0.4-py3-none-any.whl
Algorithm Hash digest
SHA256 b437149d5be4c5b35d2b844c39abcf910c26cca3cb1b5253f5bf9f4cb36b73f8
MD5 7552edc549334eed731b08ceeaf8608b
BLAKE2b-256 09b7ef503470aef4f631c82067770518f3e4de43dee1fcdc53740ed9933996fc

See more details on using hashes here.

Supported by

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