lytomo-watershed 0.1.0

Detection of protoclusters in Ly-alpha tomography surveys

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

Generated Data

• The generated data are available here .

• 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.

• The data should be in a directory named LyTo_data outside this repository. So, it should look like this:

./LyTomo-Wtershed/
     codes/
     *.ipynb
./LyTomo_data/
     descendants/
     mock_maps_z2.4/
     ...

• 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'
  

  3. Don't forget to decompress the downloaded files.

If you have any questions please send me an email : [e-mail] 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!