PBH-\(\beta\), a code to explore the constraints on PBH abundances and power spectrum.

Authors: Tadeo D. Gómez & Luis E. Padilla

Source: Source code at GitHub

Licence: GNU General Public License v2.0. The documentation is licensed under the GFDL.

PyPI version License: GPL v2 Documentation Status arXiv


The PBHBeta library is a computational tool designed to calculate constraints on the abundance of Primordial Black Holes (PBHs) and the power spectrum (PS) in cosmological scenarios featuring a non-standard evolution phase between the end of inflation and Big Bang Nucleosynthesis (BBN).

Warning

This project is under development.

Note

This code has been tested exclusively with Python version 3.9, and we strongly recommend using it with versions higher than this (Python 3.x and above).

The GitHub repository and PyPI package for PBHBeta include the essential libraries necessary to run PBHBeta. However, these dependencies must be imported into the notebook or console for the functions to become accesible. Refer to the requeriments and installation sections.

How to cite us

If you use PBH-\(\beta\), please cite: 2308.04642

Changelog

Versions:

  • 1.0.1 (27/08/2023) Add some description to modules and components.

  • 1.0 (05/08/2023) Initial version.

TO-Do

  • Complete the description to modules and components

Acknowledgements

We would like to extend our appreciation to Encieh Erfani and Juan Carlos Hidalgo for their collaboration and valuable contributions to the project. Furthermore, we would like to thanks our colleagues for their assistance, suggestions, and encouragement during the development of the PBHbeta library, with a special mention to Isidro Gomez. Lastly, we are grateful to the institutions that have supported this research, enabling us to pursue our scientific investigations and contribute to the field of cosmology. We would like to extend our appreciation to the Universidad Nacional Autónoma de México (UNAM), Instituto de Ciencias Físicas (ICF), International Centre For Theoretical Physics (ICTP), and the Consejo Nacional de Humanidades, Ciencias y Tecnologías (CONAHCYT) for their invaluable support and resources, which have been crucial in carrying out this research.


UNAM ICF CONAHCYT


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MODULES AND COMPONENTS