pylick 1.0.2

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