Skip to main content

PhaseTorch is a Python package for phase retrieval in X-ray phase contrast computed tomography (XPCT).

Project description

PhaseTorch

PhaseTorch is a Python package for phase retrieval in X-ray phase contrast computed tomography (XPCT).

References

K. Aditya Mohan, Jean-Baptiste Forien, Venkatesh Sridhar, Jefferson A. Cuadra, and Dilworth Parkinson. “Non-Linear Phase-Retrieval Algorithms for X-ray Propagation-Based Phase-Contrast Tomography.” arXiv preprint arXiv:2305.00334 (2023). PDF link

Documentation

For installation instructions, tutorials, and function definitions, please refer to the documentation at the link https://phasetorch.readthedocs.io/en/latest/

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

phasetorch-0.2.0.tar.gz (54.3 kB view details)

Uploaded Source

Built Distribution

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

phasetorch-0.2.0-py3-none-any.whl (64.2 kB view details)

Uploaded Python 3

File details

Details for the file phasetorch-0.2.0.tar.gz.

File metadata

  • Download URL: phasetorch-0.2.0.tar.gz
  • Upload date:
  • Size: 54.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for phasetorch-0.2.0.tar.gz
Algorithm Hash digest
SHA256 4bc53b08eacfa8aa29c9bc69325d0b3cdf7c4eb583840865d994def7f5ac088f
MD5 8efb267b9103efc6051f1a7b150ec673
BLAKE2b-256 fe6c9299755128e0467b9108678918b92f71049b412ea3c29c1ca380eaed7e6f

See more details on using hashes here.

File details

Details for the file phasetorch-0.2.0-py3-none-any.whl.

File metadata

  • Download URL: phasetorch-0.2.0-py3-none-any.whl
  • Upload date:
  • Size: 64.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for phasetorch-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 e372c8300095dd355e4e65679c20a6cfbae16d523ccb7a69c45ad929eff92b68
MD5 9f2b3c461ce83157714ddad92f53baca
BLAKE2b-256 00978ae49c18e086cc781702dd0b2a6fd2477c1c83112c0c24c557630eb9f3c8

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