| Name | astro-sedpy JSON |
| Version |
0.4.1
JSON |
| download |
| home_page | None |
| Summary | Simple tools for astronomical spectral energy distributions, particularly filter projections. |
| upload_time | 2025-09-05 20:16:53 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.9 |
| license | MIT License |
| keywords |
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
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| coveralls test coverage |
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|
sedpy
=====
Modules for storing and operating on astronomical source spectral energy distributions.
.. image:: https://github.com/bd-j/sedpy/workflows/Tests/badge.svg
:target: https://github.com/bd-j/sedpy/actions?query=workflow%3ATests
.. image:: https://readthedocs.org/projects/sedpy/badge/?version=latest
:target: https://sedpy.readthedocs.io/en/latest/?badge=latest
:alt: Documentation Status
Installation & setup:
---------------------
``sedpy`` is pip installable:
.. code-block:: shell
python -m pip install astro-sedpy
Or you can install the latest version from github:
.. code-block:: shell
git clone https://github.com/bd-j/sedpy
cd sedpy
pip install .
Then in python, e.g.,
.. code-block:: python
from sedpy import observate
# get magnitude from a spectrum:
filt = observate.Filter("sdss_r0")
mag = filt.ab_mag(angstroms, f_lambda_cgs)
# or get several magnitudes at once
filterlist = observate.load_filters(["galex_NUV", "sdss_r0"])
mags = observate.getSED(angstroms, f_lambda_cgs, filterlist=filters)
For the filters available by default see the `filter_list`_.
For adding transmission curves, see these `docs`_.
.. _filter_list: sedpy/data/filters/README.md
.. _docs: docs/transmissions.rst
This code can be referenced as:
.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.4582723.svg
:target: https://doi.org/10.5281/zenodo.4582723
Description:
------------
* ``observate`` has methods for generating synthetic photometry through any filters,
and classes for dealing with filters generally. There is some functionality for spectra
(vaccum to air conversions).
With a huge debt to Mike Blanton's `kcorrect <https://github.com/blanton144/kcorrect>`_ code .
* ``attenuation`` contains simple dust attenuation methods.
* ``smoothing`` methods for smoothing well-sampled spectra.
* ``extinction`` (Deprecated) classes for a detailed modeling of extinction curves,
following the Fitzpatrick & Massa parameterizations.
See `dust_extinction <https://dust-extinction.readthedocs.io/en/stable/>`_ instead.
Raw data
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"description": "sedpy\n=====\n\n\nModules for storing and operating on astronomical source spectral energy distributions.\n\n.. image:: https://github.com/bd-j/sedpy/workflows/Tests/badge.svg\n :target: https://github.com/bd-j/sedpy/actions?query=workflow%3ATests\n\n.. image:: https://readthedocs.org/projects/sedpy/badge/?version=latest\n :target: https://sedpy.readthedocs.io/en/latest/?badge=latest\n :alt: Documentation Status\n\nInstallation & setup:\n---------------------\n``sedpy`` is pip installable:\n\n.. code-block:: shell\n\n\t\tpython -m pip install astro-sedpy\n\nOr you can install the latest version from github:\n\n.. code-block:: shell\n\n\t\tgit clone https://github.com/bd-j/sedpy\n\t\tcd sedpy\n\t\tpip install .\n\nThen in python, e.g.,\n\n.. code-block:: python\n\n\t\tfrom sedpy import observate\n\t\t# get magnitude from a spectrum:\n\t\tfilt = observate.Filter(\"sdss_r0\")\n\t\tmag = filt.ab_mag(angstroms, f_lambda_cgs)\n\t\t# or get several magnitudes at once\n\t\tfilterlist = observate.load_filters([\"galex_NUV\", \"sdss_r0\"])\n\t\tmags = observate.getSED(angstroms, f_lambda_cgs, filterlist=filters)\n\nFor the filters available by default see the `filter_list`_.\nFor adding transmission curves, see these `docs`_.\n\n.. _filter_list: sedpy/data/filters/README.md\n.. _docs: docs/transmissions.rst\n\nThis code can be referenced as:\n\n.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.4582723.svg\n :target: https://doi.org/10.5281/zenodo.4582723\n\nDescription:\n------------\n\n* ``observate`` has methods for generating synthetic photometry through any filters,\n and classes for dealing with filters generally. There is some functionality for spectra\n (vaccum to air conversions).\n With a huge debt to Mike Blanton's `kcorrect <https://github.com/blanton144/kcorrect>`_ code .\n\n* ``attenuation`` contains simple dust attenuation methods.\n\n* ``smoothing`` methods for smoothing well-sampled spectra.\n\n* ``extinction`` (Deprecated) classes for a detailed modeling of extinction curves,\n following the Fitzpatrick & Massa parameterizations.\n See `dust_extinction <https://dust-extinction.readthedocs.io/en/stable/>`_ instead.\n",
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