pbhstat: A Python Package for Calculating the Primordial Black Hole Abundance

We present pbhstat, a publicly available Python package designed to compute the mass function and total abundance of primordial black holes (PBHs) from a given primordial power spectrum. The package offers a modular framework using multiple statistical approaches, including Press–Schechter theory, peaks theory, and formalisms based on the non-linear compaction function. Currently, the implementation is limited to scenarios with nearly Gaussian initial conditions.

Authors

Institutions

Publication Details

Journal
Universe
Published
2025-09-22
DOI
https://doi.org/10.3390/universe11090322
Citations
1
Primary Topic
Cosmology and Gravitation Theories
Type
article
Field-Weighted Citation Impact
1.15

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

pbhstat: A Python Package for Calculating the Primordial Black Hole Abundance

Philippa S. Cole, Jacopo Fumagalli
1 citations
Universe
Cosmology and Gravitation Theories
1.15
article

pbhstat: A Python Package for Calculating the Primordial Black Hole Abundance

Philippa S. Cole, Jacopo Fumagalli
article en
1 citations

Abstract

We present pbhstat, a publicly available Python package designed to compute the mass function and total abundance of primordial black holes (PBHs) from a given primordial power spectrum. The package offers a modular framework using multiple statistical approaches, including Press–Schechter theory, peaks theory, and formalisms based on the non-linear compaction function. Currently, the implementation is limited to scenarios with nearly Gaussian initial conditions.

UniverseVol. 11(9)
Istituto Nazionale di Fisica Nucleare, Sezione di Milano Bicocca (IT), University of Milano-Bicocca (IT), Universitat de Barcelona (ES)
National Research Centre, Dipartimenti di Eccellenza, Fondazione Cariplo, Agencia Estatal de Investigación
Openalex Percentile: Top 16%
Cosmology and Gravitation Theories
1.15
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

pbhstat: A Python Package for Calculating the Primordial Black Hole Abundance — Philippa S. Cole, Jacopo Fumagalli · Universe (2025) | TGRS Research Map | TGRS