Skip to main content

Kinematics for nuclear reactions

Project description

reaction-kinematics

This is a Python library for calculating relativistic two-body nuclear reaction kinematics.

This package is designed for students and researchers working in nuclear and particle physics who need fast, reliable kinematic calculations for reactions of the form:

projectile + target → ejectile + recoil

Features

This code can do:

  • Relativistic two-body kinematics
  • Automatic unit handling
  • Center-of-mass and lab-frame quantities
  • Energy, angle, momentum, and velocity calculations
  • Support for multi-valued kinematic solutions
  • Simple plotting and data export

Installation

pip install -reaction-kinematics

Basic Usage

The main interface is the TwoBody class.

from reaction_kinematics.reaction_kinematics import TwoBody

Create a reaction by specifying the particle masses and projectile kinetic energy.

Units

  • Masses are internally stored in MeV/c²
  • Energies are in MeV by default
  • Velocities are given as fractions of c
  • Angles are in radians

You may specify alternative units using EnergyUnit and MassInput.

Example: Proton + Tritium Reaction

rxn = TwoBody("p", "3H", "n", "3He", 1.2)

This represents:

p + 3H → n + 3He

with a projectile energy of 1.2 MeV.


Computing Kinematic Arrays

To generate arrays of kinematic quantities over all center-of-mass angles, use compute_arrays().

data = rxn.compute_arrays()

This will return a dictionary containing the following:

  • coscm : cos(θ_CM)
  • theta_cm: CM angle (rad)
  • theta3 : Ejectile lab angle (rad)
  • theta4 : Recoil lab angle (rad)
  • e3 : Ejectile energy (MeV)
  • e4 : Recoil energy (MeV)
  • v3 : Ejectile velocity (c)
  • v4 : Recoil velocity (c)

Example

theta4 = data["theta4"]
e3 = data["e3"]

Accessing Individual Values

To evaluate kinematic quantities at a specific value, use at_value().

This method automatically handles multi-valued solutions and always returns lists.

Syntax

rxn.at_value(x_name, x_value, y_names=None)

Parameters:

  • x_name : Independent variable (e.g. "theta4", "theta_cm", "coscm")
  • x_value: Value at which to evaluate
  • y_names: Dependent variables (string or list)

Example: Single Quantity

import math

angle = 10 * math.pi / 180

vals = rxn.at_value("theta4", angle, y_names="e3")
print(vals)

Output:

{'e3': [0.3447, 0.0364]}

Multiple values indicate multiple physical solutions.


Example: Multiple Quantities

vals = rxn.at_value(
    "theta4",
    angle,
    y_names=["e3", "v3", "p3"]
)

print(vals)

Example output:

{
  'e3': [0.3447, 0.0364],
  'v3': [0.025, 0.009],
  'p3': [23.7, 8.2]
}

Example: Full State at a Given CM Angle

If y_names is omitted, all quantities are returned.

vals = rxn.at_value("theta_cm", 0.8)
print(vals)

Example output:

{
  'coscm': [...],
  'theta3': [...],
  'theta4': [...],
  'e3': [...],
  'e4': [...],
  'v3': [...],
  'v4': [...],
  'p3': [...],
  'p4': [...]
}

Convert to NumPy Arrays

import numpy as np

data = rxn.compute_arrays()

theta4 = np.array(data["theta4"])
e3 = np.array(data["e3"])

Using Explicit Mass Values

rxn = TwoBody(
    938.272,
    11177.928,
    938.272,
    11177.928,
    5.0,
    mass_unit="MeV"
)

Plotting Example

You can use matplotlib to visualize kinematic relationships.

Example: Ejectile Energy vs Recoil Angle

import matplotlib.pyplot as plt

data = rxn.compute_arrays()

plt.plot(data["theta4"], data["e3"])
plt.xlabel("Recoil Angle θ₄ (rad)")
plt.ylabel("Ejectile Energy E₃ (MeV)")
plt.title("E₃ vs θ₄")
plt.grid(True)
plt.show()

Numerical Notes

  • Some kinematic variables are multi-valued.
  • Near kinematic extrema, solution branches may merge numerically.
  • The library automatically removes duplicate solutions within tolerance of 1e**-6.

License

GPL-2.0 license


Contact

For questions, issues, or contributions, please open an issue on GitHub.


Project Docs

For how to install uv and Python, see installation.md.

For development workflows, see development.md.

For instructions on publishing to PyPI, see publishing.md.


This project was built from simple-modern-uv.

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

reaction_kinematics-0.1.3.tar.gz (58.6 kB view details)

Uploaded Source

Built Distribution

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

reaction_kinematics-0.1.3-py3-none-any.whl (45.0 kB view details)

Uploaded Python 3

File details

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

File metadata

  • Download URL: reaction_kinematics-0.1.3.tar.gz
  • Upload date:
  • Size: 58.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.9.5

File hashes

Hashes for reaction_kinematics-0.1.3.tar.gz
Algorithm Hash digest
SHA256 321731aa2cb7682e2f0eea74d4a52fa99ec6442c4afa704848ff06c484dffb0b
MD5 94b71eef51b20e795c55e2faab572dc2
BLAKE2b-256 e88c7c91847f162f96259c245c006d11a3f6a89dea8975cd2e6e1601b063ffbb

See more details on using hashes here.

File details

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

File metadata

File hashes

Hashes for reaction_kinematics-0.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 3a61420b08d570dcaa5cd15999178853a41179aebbdf4cfb23c4921add16f2e0
MD5 97e3cb6191415b166b2468766235a8c2
BLAKE2b-256 5a8fbc9c4abc7ce239f42def12766453ebc1e283877ccf95ea925808591a059f

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