| Name | pz-rail-base JSON |
| Version |
1.1.1
JSON |
| download |
| home_page | None |
| Summary | None |
| upload_time | 2025-02-13 21:43:39 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.10 |
| license | MIT License
Copyright (c) 2023 LSST Dark Energy Science Collaboration (DESC)
Permission is hereby granted, free of charge, to any person obtaining a copy
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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# RAIL base
[](https://lincc-ppt.readthedocs.io/en/latest/)
[](https://zenodo.org/badge/latestdoi/223043497)
[](https://codecov.io/gh/LSSTDESC/rail_base)
[](https://pypi.org/project/pz-rail-base/)
[](https://github.com/LSSTDESC/rail_base/actions/workflows/smoke-test.yml)
Bases classes for RAIL stages.
# RAIL: Redshift Assessment Infrastructure Layers
RAIL is a flexible software library providing tools to produce at-scale
photometric redshift data products, including uncertainties and summary
statistics, and stress-test them under realistically complex systematics.
A detailed description of RAIL's modular structure is available in the
[Overview](https://rail-hub.readthedocs.io/en/latest/source/overview.html)
on ReadTheDocs.
RAIL serves as the infrastructure supporting many extragalactic applications
of the Legacy Survey of Space and Time (LSST) on the Vera C. Rubin Observatory,
including Rubin-wide commissioning activities. RAIL was initiated by the
Photometric Redshifts (PZ) Working Group (WG) of the LSST Dark Energy Science
Collaboration (DESC) as a result of the lessons learned from the
[Data Challenge 1 (DC1) experiment](https://academic.oup.com/mnras/article/499/2/1587/5905416)
to enable the PZ WG Deliverables in
[the LSST-DESC Science Roadmap (see Sec. 5.18)](https://lsstdesc.org/assets/pdf/docs/DESC_SRM_latest.pdf),
aiming to guide the selection and implementation of redshift estimators in DESC
analysis pipelines. RAIL is developed and maintained by a diverse team
comprising DESC Pipeline Scientists (PSs), international in-kind contributors,
LSST Interdisciplinary Collaboration for Computing (LINCC) Frameworks software
engineers, and other volunteers, but all are welcome to join the team
regardless of LSST data rights.
## Installation
Installation instructions are available under
[Installation](https://rail-hub.readthedocs.io/en/latest/source/installation.html)
on ReadTheDocs.
## Contributing
The greatest strength of RAIL is its extensibility; those interested in
contributing to RAIL should start by consulting the
[Contributing guidelines](https://rail-hub.readthedocs.io/en/latest/source/contributing.html)
on ReadTheDocs.
## Citing RAIL
RAIL is open source and may be used according to the terms of its
[LICENSE](https://github.com/LSSTDESC/RAIL/blob/main/LICENSE)
[(BSD 3-Clause)](https://opensource.org/licenses/BSD-3-Clause).
If you make use of the ideas or software here in any publication, you must cite
this repository <https://github.com/LSSTDESC/RAIL> as "LSST-DESC PZ WG (in prep)"
with the [Zenodo DOI](https://doi.org/10.5281/zenodo.7017551).
Please consider also inviting the developers as co-authors on publications
resulting from your use of RAIL by
[making an issue](https://github.com/LSSTDESC/RAIL/issues/new/choose).
Additionally, several of the codes accessible through the RAIL ecosystem must
be cited if used in a publication. A convenient list of what to cite may be found under
[Citing RAIL](https://rail-hub.readthedocs.io/en/latest/source/citing.html) on ReadTheDocs.
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"description": "# RAIL base\n\n[](https://lincc-ppt.readthedocs.io/en/latest/)\n[](https://zenodo.org/badge/latestdoi/223043497)\n[](https://codecov.io/gh/LSSTDESC/rail_base)\n[](https://pypi.org/project/pz-rail-base/)\n[](https://github.com/LSSTDESC/rail_base/actions/workflows/smoke-test.yml)\n\nBases classes for RAIL stages.\n\n# RAIL: Redshift Assessment Infrastructure Layers\n\nRAIL is a flexible software library providing tools to produce at-scale\nphotometric redshift data products, including uncertainties and summary\nstatistics, and stress-test them under realistically complex systematics.\nA detailed description of RAIL's modular structure is available in the\n[Overview](https://rail-hub.readthedocs.io/en/latest/source/overview.html)\non ReadTheDocs.\n\nRAIL serves as the infrastructure supporting many extragalactic applications\nof the Legacy Survey of Space and Time (LSST) on the Vera C. Rubin Observatory,\nincluding Rubin-wide commissioning activities. RAIL was initiated by the\nPhotometric Redshifts (PZ) Working Group (WG) of the LSST Dark Energy Science\nCollaboration (DESC) as a result of the lessons learned from the\n[Data Challenge 1 (DC1) experiment](https://academic.oup.com/mnras/article/499/2/1587/5905416)\nto enable the PZ WG Deliverables in\n[the LSST-DESC Science Roadmap (see Sec. 5.18)](https://lsstdesc.org/assets/pdf/docs/DESC_SRM_latest.pdf),\naiming to guide the selection and implementation of redshift estimators in DESC\nanalysis pipelines. RAIL is developed and maintained by a diverse team\ncomprising DESC Pipeline Scientists (PSs), international in-kind contributors,\nLSST Interdisciplinary Collaboration for Computing (LINCC) Frameworks software\nengineers, and other volunteers, but all are welcome to join the team\nregardless of LSST data rights.\n\n## Installation\n\nInstallation instructions are available under\n[Installation](https://rail-hub.readthedocs.io/en/latest/source/installation.html)\non ReadTheDocs.\n\n## Contributing\n\nThe greatest strength of RAIL is its extensibility; those interested in\ncontributing to RAIL should start by consulting the\n[Contributing guidelines](https://rail-hub.readthedocs.io/en/latest/source/contributing.html)\non ReadTheDocs.\n\n## Citing RAIL\n\nRAIL is open source and may be used according to the terms of its\n[LICENSE](https://github.com/LSSTDESC/RAIL/blob/main/LICENSE)\n[(BSD 3-Clause)](https://opensource.org/licenses/BSD-3-Clause).\nIf you make use of the ideas or software here in any publication, you must cite\nthis repository <https://github.com/LSSTDESC/RAIL> as \"LSST-DESC PZ WG (in prep)\"\nwith the [Zenodo DOI](https://doi.org/10.5281/zenodo.7017551).\nPlease consider also inviting the developers as co-authors on publications\nresulting from your use of RAIL by\n[making an issue](https://github.com/LSSTDESC/RAIL/issues/new/choose).\nAdditionally, several of the codes accessible through the RAIL ecosystem must\nbe cited if used in a publication. A convenient list of what to cite may be found under\n[Citing RAIL](https://rail-hub.readthedocs.io/en/latest/source/citing.html) on ReadTheDocs.\n",
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