cup1d

Cosmology using P1D - small scale clustering of the Lyman alpha forest

This repository contains some tools to perform the last steps of a cosmological analysis of the 1D power spectrum (P1D) of the Lyman alpha forest.

It uses the LaCE emulator (https://github.com/igmhub/LaCE), and some extra tools to run MCMC analyses on cosmological and IGM parameters for a mock P1D measurement.

If you would like to collaborate, please email Andreu Font-Ribera (afont@ifae.es) or Jonas Chaves-Montero (jchaves@ifae.es).

Installation

• Create a new conda environment. It is usually better to follow python version one or two behind. In January 2024, the latest is 3.12, so we recommend 3.11.

conda create -n cup1d -c conda-forge python=3.11 camb mpich mpi4py fdasrsf pip=24.0
conda activate cup1d

• Install cup1d:

Follow the instructions from https://github.com/igmhub/cup1d

• Clone the cup1d repo and perform an editable installation:

git clone https://github.com/igmhub/cup1d.git
cd cup1d
pip install -e .[jupyter]

• You also need to install the LaCE emulator. Follow the instructions in https://github.com/igmhub/LaCE

Notebooks / tutorials

You can run the notebooks in notebooks. You can find the main tutorial to run your own analysis in notebooks/tutorials/sample_sim.ipynb

You can also plot many P1D measurements stored in the repo, by looking at notebooks/p1d_measurements

You can also redo old neutrino mass constraints by importance sampling WMAP and Planck chains, following notebooks/planck

You can also play with the LaCE emulator with the notebooks in notebooks/emulator

Forecasting script

You can use the script scripts/sam_sim.py to run you own analyses. It is fully parallelized using MPI.