https://github.com/jmsull/ml_fnl_forecast

Public code for the forecasts computed in arXiv 2303.08901
https://github.com/jmsull/ml_fnl_forecast

Last synced: about 2 months ago
JSON representation

Public code for the forecasts computed in arXiv 2303.08901

• Host: GitHub
• URL: https://github.com/jmsull/ml_fnl_forecast
• Owner: jmsull
• License: mit
• Created: 2023-03-02T02:17:01.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2023-03-28T11:43:52.000Z (about 2 years ago)
• Last Synced: 2025-02-07T09:43:40.724Z (3 months ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 573 KB
• Stars: 3
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# ml_fnl_forecast

Public code for the forecasts computed in [arXiv:2303.08901](https://arxiv.org/abs/2303.08901)

## To use:



Install Git and python 3.

Clone this repository 


    $ git clone [email protected]:jmsull/ml_fnl_forecast.git

Make a virtual environment (optional, recommended). For this step install conda



    $ conda create -n envname python=x.x anaconda

    $ conda activate envname

    

Download dependencies


    $ conda install --yes --file requirements.txt

Download snapshot from IllustrisTNG and copy it inside TNG-300/



Download supplementary halo structure catalog and copy it inside supplementary_catalog/



To get galaxy samples

    

    $ python3 b_phi_predictions/sample_selection/main.py