# Cosmological exploitation of cosmic void statistics - New numerical tools in the CosmoBolognaLib to extract cosmological constraints from the void size function

## TL;DR

This paper introduces new numerical tools within the CosmoBolognaLib to analyze cosmic voids, enabling better extraction of cosmological constraints from void size functions in both observations and simulations.

## Contribution

The work extends the CosmoBolognaLib with algorithms for modeling void size functions and constructing void catalogues independent of the void finder, bridging theory and observations.

## Key findings

- New algorithms for void size function modeling
- Tools for void catalogue construction independent of void finders
- Open source software with documentation and examples

## Abstract

We present new numerical tools to analyse cosmic void catalogues, implemented inside the CosmoBolognaLib, a large set of Open Source C++/Python numerical libraries. The CosmoBolognaLib provides a common numerical environment for cosmological calculations. This work extends these libraries by adding new algorithms for cosmological analyses of cosmic voids, covering the existing gap between theory and observations. We implemented new methods to model the size function of cosmic voids, in both observed and simulated samples of dark matter and biased tracers. Moreover, we provide new numerical tools to construct unambiguous void catalogues. The latter are designed to be independent of the void finder, in order to allow a high versatility in comparing independent results. The implemented Open Source software is available at the GitHub repository https://github.com/federicomarulli/CosmoBolognaLib. We provide also a full doxygen documentation and some example codes that explain how to use these libraries.