flip: Field Level Inference Package

flip is a Python package that uses the maximum likelihood method to fit the growth rate based on the velocity and density fields. The first part of the software is the computation of a covariance matrix from a model power spectrum and the considered coordinates. This part is generalized to work for any linear power spectrum models, both for velocities, densities, and cross-terms, and it is optimized with Hankel transform for any model. In the second part, the covariance is used to create a likelihood by multiplying it by velocities or densities. Finally, this package includes some integrated fitters such as Minuit and MCMC (with emcee) to fit the growth rate of structures.

Quick install

git clone https://github.com/corentinravoux/flip.git
cd flip
pip install .

Required packages

Mandatory: numpy, scipy, matplotlib, iminuit, emcee, sympy

Optional: classy, pyccl, pmesh, GPy, tensorflow, cosmoprimo

Examples

For an example with velocity fit check out:

For density only:

For a joint fit:

Need help?

Documentation available on ReadTheDoc

How to cite

The full description of the core concepts of this package is given here. This package was started on the previous work of @bastiencarreres, detail in this article. Please cite both paper when using the package.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

flipcosmo-2.0.9.tar.gz (431.6 kB view details)

Uploaded Sep 9, 2026 Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

The dropdown lists show the available interpreters, ABIs, and platforms. Enable javascript to be able to filter the list of wheel files.

flipcosmo-2.0.9-py3-none-any.whl (474.2 kB view details)

Uploaded Sep 9, 2026 Python 3

File details

Details for the file flipcosmo-2.0.9.tar.gz.

File metadata

Download URL: flipcosmo-2.0.9.tar.gz
Upload date: Sep 9, 2026
Size: 431.6 kB
Tags: Source
Uploaded using Trusted Publishing? Yes
Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for flipcosmo-2.0.9.tar.gz
Algorithm	Hash digest
SHA256	`eea3792b023886759638079fe5a4c364762a4411a52672015a53f868b6736306`
MD5	`852fd70d2f722ead222ba823d16ca4c5`
BLAKE2b-256	`6f5c7af5b65a6a7ae9109d34de333fb53e4a2ab81c9bfa6feb2d28fabbeac3f8`

See more details on using hashes here.

Provenance

The following attestation bundles were made for flipcosmo-2.0.9.tar.gz:

Publisher: publish-to-pypi.yml on corentinravoux/flip

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Statement:
- Statement type: https://in-toto.io/Statement/v1
- Predicate type: https://docs.pypi.org/attestations/publish/v1
- Subject name: flipcosmo-2.0.9.tar.gz
- Subject digest: eea3792b023886759638079fe5a4c364762a4411a52672015a53f868b6736306
- Sigstore transparency entry: 2766563606
- Sigstore integration time: Sep 9, 2026
Source repository:
- Permalink: corentinravoux/flip@4ebe8813bd081790bac08342f4f1c18c5c66fb87
- Branch / Tag: refs/tags/v2.0.9
- Owner: https://github.com/corentinravoux
- Access: public
Publication detail:
- Token Issuer: https://token.actions.githubusercontent.com
- Runner Environment: github-hosted
- Publication workflow: publish-to-pypi.yml@4ebe8813bd081790bac08342f4f1c18c5c66fb87
- Trigger Event: push