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Detection of protoclusters in Ly-alpha tomography surveys

Project description

LyTomo-Watershed

Characterizing proto-clusters/groups in Lyman-alpha Tomography

The repository for reproducing the results in Qezlou et al. 2021

Cookbook :

There is a step-by-step cookbook in CookBook.ipynb

Requirements :

Each part of the production has a different package requirements. Please, review the imported packages in each section. A complete list is :

  • numpy
  • scipy
  • scikit-image
  • fake_spectra
  • mpi4py

Installing the package:

via pip:

pip install lytomo_watershed

or cloning this repo and :

python3 setup.py install

Generated Data

  • The generated data are available here DOI.

  • Refer to the CookBook.ipynb and other notebooks to see which data you need at each step.

  • A clear descitption of each file is provided on the Zenodo website.

  • You can use get_data.py script to download the files from the shell.

    1. Get your access token from here

    2. To downlaod all the compressed files, run this on your shell:

    python get_data.py -t "Your ACCESS TOKEN"
    

    If you want to download a particular compressed file, pass the file name like this :

     python get_data.py -t "Your ACCESS TOKEN" -f 'descendats.zip'
    
    1. Don't forget to decompress the downloaded files.

If you have any questions please send me an email : mahdi.qezlou@email.ucr.edu or raise an issue here!

Note : The observed LATIS data Newman et al. 2020 is not publicly released yet. Please stay tuned for a near future paper!

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