Analysis tools for multi-technique astronomical data and hdust models
Project description
Analysis tools for multi-technique astronomical data and hdust models.
Full documentation at pyhdust.readthedocs.io.
pyhdust should be independent of plataform (Linux, Mac, Windows) and compatible with Python3 (3.6+).
If you make use of pyhdust in your work, please cite Section 2.1.4 my thesis (Faes 2015: arXiv, ADS, BibTeX).
How to install/uninstall
I strongly suggest users to use the pip plataform:
pip install pyhdustpyhdust dependencies are constantly evolving. If you face an installation problem, check the versioning page.
If your are not the root of the system, add the flag --user to the command above. Dependencies (as filters efficiency and stellar evolution models) are included in the subdirectories.
pyhdust requires numpy, six and astropy modules. Optionally, it makes use of:
emcee
matplotlib
pandas
pIDLy
scipy
wget
xmltodict
To only update the package:
pip install -U --no-deps pyhdust-U forces the upgrade and --no-deps do not reinstall the dependent packages.
For other options, consult the full documentation.
How to use the modules
To make use of all routines, the suggestion is to import them as follows:
import pyhdust as hdt
import pyhdust.beatlas as bat
import pyhdust.fieldstars as fls
import pyhdust.images as img
import pyhdust.input as inp
import pyhdust.interftools as intt
import pyhdust.jdcal as jdcal
import pyhdust.poltools as polt
import pyhdust.phc as phc
import pyhdust.rotstars as rot
import pyhdust.singscat as sst
import pyhdust.spectools as spt
import pyhdust.stats as sttLicense
The code is free, available under the terms of the GNU GPL v3.0 license.
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