Python tool to measure spectral features in galaxy spectra
Project description
pyLick is a Python tool designed to measure spectral features, such as Lick indices and D4000, in galaxy spectra. It currently supports over 80 features spanning the near-UV to the near-IR. New ones can be easily introduced. The uncertainties are evaluated using the signal-to-noise method proposed by Cardiel et al. (1998). The code interpolates over bad pixels when a bad pixels mask is provided, allowing users to discard measurements above a specified Bad Pixel Fraction threshold. Additionally, the code includes convenient plotting routines.
Installation
The code can be quikly installed from Pypi:
pip install pylick
For more flexibility, clone the source repository into your working folder and install it locally:
git clone https://gitlab.com/mmoresco/pylick.git
cd pylick/
pip install -e .
To test the installation, run the following command:
python -c "import pylick; print(pylick.__version__)"
Documentation
Read the docs at pylick.readthedocs.io
Citation
Please cite the following paper if you find this code useful in your research (ADS, arXiv, INSPIRE):
@ARTICLE{Borghi2022a,
author = {{Borghi}, Nicola and {Moresco}, Michele and {Cimatti}, Andrea and et al.},
title = "{Toward a Better Understanding of Cosmic Chronometers: Stellar Population Properties of Passive Galaxies at Intermediate Redshift}",
journal = {ApJ},
year = 2022,
month = mar,
volume = {927},
pages = {164},
doi = {10.3847/1538-4357/ac3240},
eprint = {2106.14894},
adsurl = {https://ui.adsabs.harvard.edu/abs/2022ApJ...927..164B},
}
The team
- Main developers:
- Michele Moresco (michele.moresco@unibo.it)
- Nicola Borghi (nicola.borghi6@unibo.it)
- Salvatore Quai (squai@uvic.ca)
- Contributors:
- Alexandre Huchet
- Lucia Pozzetti
- Andrea Cimatti
Project details
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