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-0.8.8.tar.gz (95.0 kB view details)

Uploaded Source

Built Distribution

xicsrt-0.8.8-py3-none-any.whl (127.2 kB view details)

Uploaded Python 3

File details

Details for the file xicsrt-0.8.8.tar.gz.

File metadata

  • Download URL: xicsrt-0.8.8.tar.gz
  • Upload date:
  • Size: 95.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.6

File hashes

Hashes for xicsrt-0.8.8.tar.gz
Algorithm Hash digest
SHA256 44572ce6bb833f422f87bf5d36ad92d21870e23edd4643cb2a2e270ddf66d121
MD5 d6431f3417b8ac25f91067c87fbe7946
BLAKE2b-256 1cc16c6963b000308a206bf71241e23f6aeb7156106aed3774de4694f3337fb9

See more details on using hashes here.

File details

Details for the file xicsrt-0.8.8-py3-none-any.whl.

File metadata

  • Download URL: xicsrt-0.8.8-py3-none-any.whl
  • Upload date:
  • Size: 127.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.6

File hashes

Hashes for xicsrt-0.8.8-py3-none-any.whl
Algorithm Hash digest
SHA256 24fc3a8f57a127ef4a3352ad69f5813685a1d8a467447798ad70e71f94b0a129
MD5 2419e05ec7af71cce3b7919693dcc9d0
BLAKE2b-256 df54fc3eeb5ccd8fcfbca519744d981d53e5d1d8e2377efa81f0bec1446cfba1

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