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.