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-0.8.10.tar.gz (95.7 kB view details)

Uploaded Source

Built Distribution

xicsrt-0.8.10-py3-none-any.whl (128.2 kB view details)

Uploaded Python 3

File details

Details for the file xicsrt-0.8.10.tar.gz.

File metadata

  • Download URL: xicsrt-0.8.10.tar.gz
  • Upload date:
  • Size: 95.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.6

File hashes

Hashes for xicsrt-0.8.10.tar.gz
Algorithm Hash digest
SHA256 9c5417799f520d463f37cdf531b3e758762b9d59f82e78fd585469486b3ab617
MD5 cab59f51edcb0e3bad42f44a8013e97f
BLAKE2b-256 4e9295d6898327a8c151a90b144f03401e76cb407e2f94a48b65cb6fb2df7e7a

See more details on using hashes here.

File details

Details for the file xicsrt-0.8.10-py3-none-any.whl.

File metadata

  • Download URL: xicsrt-0.8.10-py3-none-any.whl
  • Upload date:
  • Size: 128.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.6

File hashes

Hashes for xicsrt-0.8.10-py3-none-any.whl
Algorithm Hash digest
SHA256 420d8fbcb44b7c1970a5f7498aea605b8b84301c629d83ec6d022c0d9d5c60be
MD5 74535f68487ba902c7f09713a6128a4d
BLAKE2b-256 6a7d7d2fce5cb26a6e50ff16497cdf8471836bc516d8816ffa72d6b0dddb09bf

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