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cmb-best

CMB bispectrum estimator for constraining primordial non-Gaussianity

https://github.com/wuhyun/cmb-best

Science Score: 54.0%

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    Links to: arxiv.org
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    Low similarity (14.2%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

CMB bispectrum estimator for constraining primordial non-Gaussianity

Basic Info
  • Host: GitHub
  • Owner: Wuhyun
  • License: gpl-3.0
  • Language: Cython
  • Default Branch: main
  • Size: 5.6 MB
Statistics
  • Stars: 3
  • Watchers: 1
  • Forks: 1
  • Open Issues: 0
  • Releases: 1
Created over 3 years ago · Last pushed about 1 year ago
Metadata Files
Readme License Citation

README.md

CMB-BEST

A code for CMB bispectrum estimation of primordial non-Gaussianity. For mathematical and implementational details, please refer to this paper . Please contact me if you have any issues installing or using the code.

Dependencies

  • gcc or some other C compiler
  • Python 3.7 or above
  • Python packages:
    • Cython
    • numpy
    • scipy
    • h5py
    • pandas
    • GetDist (optional for visualization)

The packages can be installed using conda or pip3.

Installation

First of all, please check if you have installed the dependencies listed above. If your default Python3 command is not 'python3', change it in the makefile accordingly.

Clone the repository by, e.g., git clone https://github.com/Wuhyun/CMB-BEST.git

Compile the library using $ make To install the library, run $ make install This installs the library 'cmbbest' in development mode. To update the library, running git pull make anytime will do the trick.

Data

A precomputed data file is required to use the package. Please download the data file from the 'Releases' in this GitHub Repository: download the 'cmbbest_data.hdf5' file and save it inside the "data" directory.

Quick Start

Here is a simple Python script code to get started. Please refer to the Jupyter notebook under examples/ for further details. ``` import cmbbest as best

basis = best.Basis() models = [best.Model("local")] constraints = basis.constrain_models(models)

print(constraints.summarize()) ```

Owner

  • Login: Wuhyun
  • Kind: user

Citation (CITATION.cff) 

title: CMB-BEST
abstract: "CMB bispectrum estimator for constraining primordial non-Gaussianity"
authors:
  - family-names: Sohn
    given-names: Wuhyun
    orcid: "https://orcid.org/0000-0002-6039-8247"
message: If you use this software, please cite it using these metadata.
cff-version: 1.2.0
license: Apache-2.0
repository-code: "https://github.com/Wuhyun/CMB-BEST"
version: 1.0.0

GitHub Events

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  • Watch event: 1
  • Push event: 3
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  • Watch event: 1
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Dependencies

setup.py pypi