Skip to main content

A photon based raytracing application written in Python.

Project description

XICSRT: Photon based raytracing in Python

Documentation: https://xicsrt.readthedocs.org
Git Repository: https://bitbucket.org/amicitas/xicsrt
Git Mirror: https://github.com/PrincetonUniversity/xicsrt

Purpose

XICSRT is a general purpose, photon based, scientific raytracing code intended for both optical and x-ray raytracing.

XICSRT includes handling for x-ray Bragg reflections from crystals which allows modeling of x-ray spectrometers and other x-ray systems. Care has been taken to allow for modeling of emission sources in real units and accurate preservation of photon statistics throughout. The XICSRT code has similar functionality to the well known SHADOW raytracing code, though the intention is to be a complementary tool rather than a replacement. These two projects have somewhat different goals, and therefore different strengths.

Current development is focused on x-ray raytracing for fusion science and high energy density physics (HEDP) research, in particular X-Ray Imaging Crystal Spectrometers for Wendelstein 7-X (W7-X), ITER and the National Ignition Facility (NIF).

Installation

XICSRT can be simply installed using pip

pip install xicsrt

Alternatively it is possible to install from source using setuptools

python setup.py install

Usage

XICSRT is run by supplying a config dictionary to xicsrt.raytrace(config). The easiest way to run XICSRT is through a Jupyter Notebook. A command line interface is also available.

To learn how format the input, and interpret the output, see the examples provided in the documentation.

Image

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

xicsrt-0.7.4.tar.gz (73.3 kB view details)

Uploaded Source

Built Distribution

xicsrt-0.7.4-py3-none-any.whl (98.2 kB view details)

Uploaded Python 3

File details

Details for the file xicsrt-0.7.4.tar.gz.

File metadata

  • Download URL: xicsrt-0.7.4.tar.gz
  • Upload date:
  • Size: 73.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.7.0 requests/2.25.1 setuptools/57.1.0 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.8.11

File hashes

Hashes for xicsrt-0.7.4.tar.gz
Algorithm Hash digest
SHA256 dae9ffac33c3a0dc69a9726fb00ceb243905e7b32a895e557e12ede103996344
MD5 03972788b0c030f99ba350e1d00c8a36
BLAKE2b-256 af85c46fd054e636efca11036f9640591e20700682bb53c91e61f89209988883

See more details on using hashes here.

File details

Details for the file xicsrt-0.7.4-py3-none-any.whl.

File metadata

  • Download URL: xicsrt-0.7.4-py3-none-any.whl
  • Upload date:
  • Size: 98.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.7.0 requests/2.25.1 setuptools/57.1.0 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.8.11

File hashes

Hashes for xicsrt-0.7.4-py3-none-any.whl
Algorithm Hash digest
SHA256 9dffa296b64252d7774238e11614d93f26f4d0ed75fa70bbd8aea086bc2b570c
MD5 14c16f0116ce45b17acad622e65b8c25
BLAKE2b-256 998e0e3742edb95dda7e0680fd10e9220ee847a2aac49035e8ec23f424ebb876

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