hidalgo-icf / pbhbeta

PBHBeta is a Python library for computing abundances of primordial black holes (PBHs) in Early.

PBH-Beta

Warning this project is a beta version

Authors

tadeodaguilar & Luis E. Padilla

Prerequisites

The betaPBH library requires Python 3.10 or later to be installed on your system.

Python 3

pip package manager: The pip package manager is used to install betaPBH and its dependencies. It should be included with your Python installation by default.

In general, when you install betaPBH, the setup.py will install all dependences: matplotlib (v-3.7.1), numpy (v-1.22.4), scipy (v-1.10.1). If this not happend, you need install manually to use betaPBH

1. Matplotlib

2. NumPy

3. SciPy

Note: betaPBH runs both in Python 2.x and 3.x. However, we highly recommend Python 3.x

Example

Abundances of PBHs with Number of e-folds

  from betaPBH import functions, constants, constraints, BfN, BfS
  import matplotlib.pyplot as plt
  import numpy as np

  functions.put_M_array()
  M_tot = np.array(constraints.M_tot)

  plt.loglog(M_tot,BfN.get_betas_reh_tot(10,0,1),label = r"$N_{\rm reh}=10$")
  plt.loglog(M_tot,BfN.get_betas_reh_tot(20,0,1),label = r"$N_{\rm reh}=20$")
  plt.loglog(M_tot,BfN.get_betas_reh_tot(30,0,1),label = r"$N_{\rm reh}=30$")
  plt.ylim([1e-30,1])
  plt.xlim([1,1e20])
  plt.xlabel(r"$M_{\rm PBH}~[\rm{g}]$")
  plt.ylabel(r"$\beta$")
  plt.legend(ncol=2,bbox_to_anchor=(0.85, 1.5))
  plt.show()

How to cite us

If you use $\beta$-PBH, please cite its pre-print, arXiv:.

Regards

Thanks for use betaPBH