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 .

• Refer to the notebooks/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 in your notebook:

  1. Get your Zenodo access token from here

  2. To downlaod any of the compressed files, run :

  import lytomo_watershed
  from lytomo_watershed import get_data
  get_data.download(token="YOUR_ACESS_TOKEN", data_dir='./', file='descendant.zip')
  # Set file=None, to downlaod everything
  

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

If you have any questions please send me an email : [email protected] 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!