CIMBA: fast Monte Carlo generation using cubic interpolation

TL;DR

CIMBA is a new software tool that accelerates Monte Carlo event generation in high energy physics by using cubic interpolation to efficiently sample kinematic distributions from predefined grids, reducing computational costs.

Contribution

It introduces CIMBA, a comprehensive package that enables fast, smooth sampling of kinematic distributions for minimum bias events using cubic interpolation, applicable to various collider configurations.

Findings

Significantly reduces Monte Carlo generation time.

Provides accurate sampling across different beam configurations.

Enhances efficiency in simulating minimum bias events.

Abstract

Monte Carlo generation of high energy particle collisions is a critical tool for both theoretical and experimental particle physics, connecting perturbative calculations to phenomenological models, and theory predictions to full detector simulation. The generation of minimum bias events can be particularly computationally expensive, where non-perturbative effects play an important role and specific processes and fiducial regions can no longer be well defined. In particular scenarios, particle guns can be used to quickly sample kinematics for single particles produced in minimum bias events. CIMBA (Cubic Interpolation for Minimum Bias Approximation) provides a comprehensive package to smoothly sample predefined kinematic grids, from any general purpose Monte Carlo generator, for all particles produced in minimum bias events. These grids are provided for a number of beam configurations including those of the Large Hadron Collider.