10.17632/49M44MD4PH.1
Ilten, Philip
Philip
Ilten
CIMBA: Fast Monte Carlo generation using cubic interpolation
Mendeley
2020
Dataset
Particle Physics
Interpolation
Computational Physics
2020-09-26
10.1016/j.cpc.2020.107622
10.17632/49m44md4ph
GNU Public License Version 2
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.