Skip to main content

No project description provided

Project description

pz-rail-calib

Template codecov PyPI

TODO List

To ensure that your project and repository is stable from the very start there are a few todo items that you should take care of. Unfortunately the RAIL project template can not do these for you, otherwise it would :)

Immediate actions

Before including in Rail-hub

  • Make sure your main branch is protected
  • Update this README
  • Create an example notebook
  • Run pylint on your code
  • Remove this TODO list once all items are completed

RAIL: Redshift Assessment Infrastructure Layers

This package is part of the larger ecosystem of Photometric Redshifts in RAIL.

Citing RAIL

This code, while public on GitHub, has not yet been released by DESC and is still under active development. Our release of v1.0 will be accompanied by a journal paper describing the development and validation of RAIL.

If you make use of the ideas or software in RAIL, please cite the repository https://github.com/LSSTDESC/RAIL. You are welcome to re-use the code, which is open source and available under terms consistent with the MIT license.

External contributors and DESC members wishing to use RAIL for non-DESC projects should consult with the Photometric Redshifts (PZ) Working Group conveners, ideally before the work has started, but definitely before any publication or posting of the work to the arXiv.

Citing this package

If you use this package, you should also cite the appropriate papers for each code used. A list of such codes is included in the Citing RAIL section of the main RAIL Read The Docs page.

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

pz_rail_calib-0.0.3.tar.gz (16.7 kB view details)

Uploaded Source

Built Distribution

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

pz_rail_calib-0.0.3-py3-none-any.whl (14.2 kB view details)

Uploaded Python 3

File details

Details for the file pz_rail_calib-0.0.3.tar.gz.

File metadata

  • Download URL: pz_rail_calib-0.0.3.tar.gz
  • Upload date:
  • Size: 16.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for pz_rail_calib-0.0.3.tar.gz
Algorithm Hash digest
SHA256 b86651a81301f834b51d1c7145b4245734b84c0a8604046b85381060178e8394
MD5 1e5894aef67d0b747df6394aac03fb14
BLAKE2b-256 1daee758ec172fe8c05a1ed01065db59ad2503804e7d1e9b8bad62c6d050c647

See more details on using hashes here.

Provenance

The following attestation bundles were made for pz_rail_calib-0.0.3.tar.gz:

Publisher: publish-to-pypi.yml on LSSTDESC/rail_calib

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file pz_rail_calib-0.0.3-py3-none-any.whl.

File metadata

  • Download URL: pz_rail_calib-0.0.3-py3-none-any.whl
  • Upload date:
  • Size: 14.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for pz_rail_calib-0.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 9c04c388016bf979404f26ef2e8d05567d6cca5607c10fc9f31d49048462d40a
MD5 bcb5619ae5f1bb591ef556f4d7319403
BLAKE2b-256 74709824eed0ccae7453c20df32c31440b5a6e61fe32cd35563899c48850f0bf

See more details on using hashes here.

Provenance

The following attestation bundles were made for pz_rail_calib-0.0.3-py3-none-any.whl:

Publisher: publish-to-pypi.yml on LSSTDESC/rail_calib

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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