Skip to main content

Split-step non-paraxial beam propagation simulation package

Project description

SSNP

Split-step non-paraxial beam propagation method

Features

  • Forward model calculation based on CUDA
  • Read/write data of common file type
  • Gradient calculation
  • Image reconstruction with regularization (working)

Reference

Sharma, A., & Agrawal, A. (2004). Split-step non-paraxial beam propagation method. Physics and Simulation of Optoelectronic Devices XII, 5349, 132. https://doi.org/10.1117/12.528172

Lim, J., Ayoub, A. B., Antoine, E. E., & Psaltis, D. (2019). High-fidelity optical diffraction tomography of multiple scattering samples. Light: Science & Applications, 8(1), 82. https://doi.org/10.1038/s41377-019-0195-1

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for ssnp, version 0.0.1
Filename, size File type Python version Upload date Hashes
Filename, size ssnp-0.0.1-py3-none-any.whl (31.8 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size ssnp-0.0.1.tar.gz (28.9 kB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring DigiCert DigiCert EV certificate Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page