Barrett: out-of-core processing of MultiNest output

TL;DR

Barrett is a Python tool that enables out-of-core processing and visualization of large MultiNest statistical inference datasets using HDF5, overcoming memory limitations of traditional methods.

Contribution

It introduces full out-of-core processing for MultiNest outputs, allowing handling of arbitrarily large datasets with HDF5 support.

Findings

Supports processing datasets larger than RAM

Enables efficient visualization of large inference results

Provides a Python package for seamless integration

Abstract

Barrett is a Python package for processing and visualising statistical inferences made using the nested sampling algorithm MultiNest. The main differential feature from competitors are full out-of-core processing allowing barrett to handle arbitrarily large datasets. This is achieved by using the HDF5 data format.