Joint analysis of galaxy power spectrum and bispectrum
Project description
๐ช PBJcosmo: Power spectrum & Bispectrum Joint analysis
pbjcosmo is a Python package for the joint analysis of the galaxy
power spectrum and bispectrum from spectroscopic galaxy clustering.
Authors: Chiara Moretti, Andrea Oddo
Full documentation here
Installation and quickstart ๐
You can install from PyPI: run pip install pbjcosmo[theory,likelihood] for the full installation, or pip install pbjcosmo if you want a minimal installation that only covers
theoretical predictions for the power spectrum. See the Installation
Guide for full
instructions on how to install, and the Inference
quickstart
for a brief introduction on how to run chains. More detailed examples
coming soon!
Citing ๐
If you use pbjcosmo in your work, please use the DOI
10.5281/zenodo.20048910 and cite the following paper:
- Moretti, C. et al., JCAP12(2023)025, Modified gravity and massive neutrinos: constraints from the full shape analysis of BOSS galaxies and forecasts for Stage IV surveys
For the original implementation and modelling for the real space bispectrum:
- Oddo et al., 2020, JCAP03(2020)056, Toward a robust inference method for the galaxy bispectrum: likelihood function and model selection
For the real space power spectrum and bispectrum:
- Oddo et al., 2021, JCAP11(2021)038, Cosmological parameters from the likelihood analysis of the galaxy power spectrum and bispectrum in real space
For the redshift space bispectrum:
- Rizzo et al., 2022, JCAP01(2023)031The halo bispectrum multipoles in redshift space
The code has been validated and used to analyse both simulated and real data already in a number of papers, a full list can be found in this ADS library
Contributing & Contact ๐ค
Feel free to open an issue or a fork and then a pull request. For questions, reach out to Chiara Moretti.
Contributors โจ
Thanks goes to these wonderful people (emoji key):
This project follows the all-contributors specification. Contributions of any kind welcome!
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