Skip to main content

Forward Modeling 2D Echellograms

Project description

ynot

Documentation Status DOI coming soon?

Why not just forward model the 2D focal plane array? An experimental approach to echellogram modeling, in early development. The baseline PyTorch code and project scaffolding is based off of Ian Czekala's MPoL project.

Citation

There is no citation for this software yet. You can cite the MPoL project when discussing the heritage and convolutional technology.


Copyright M. Gully-Santiago and contributors 2020

Version : 0.0.1

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

ynot-astro-0.0.1.tar.gz (20.3 kB view details)

Uploaded Source

File details

Details for the file ynot-astro-0.0.1.tar.gz.

File metadata

  • Download URL: ynot-astro-0.0.1.tar.gz
  • Upload date:
  • Size: 20.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.2.0.post20200210 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.6

File hashes

Hashes for ynot-astro-0.0.1.tar.gz
Algorithm Hash digest
SHA256 06ede120d313e59c891de3064bc215657c6ad2d5a5919daa823fda33770909a4
MD5 317a266a106823a7d76c9f75a1d7d10f
BLAKE2b-256 5d451fedaffaec071c02b91a832bba678a7651faf9809562307e4c622e15e10c

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page