Analysis tools for multi-technique astronomical data and hdust models
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 any version of Python (superior to 2.7).
I strongly suggest users to use the pip plataform:
pip install pyhdust
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.
Never combine sudo with --user! Otherwise you will face critical permission problems for your packages!
To use the pyhdust scripts, the binaries path of your pip installation directory must be in system PATH. If you don’t find them, adapt the following command to your $HOME/.bashrc:
pyhdust requires numpy and six modules. Optionally, it makes use of:
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.
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 stt
The code is free, available under the terms of the GNU GPL v3.0 license.