CIMBA: Fast Monte Carlo generation using cubic interpolation

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.

蒙特卡洛模拟生成高能粒子碰撞是理论及实验粒子物理学领域的关键工具，它将微扰计算与现象学模型相衔接，将理论预测与完整探测器模拟相结合。在生成最小偏置事件时，计算成本可能尤为高昂，此时非微扰效应扮演着至关重要的角色，且特定过程和参考区域难以精确界定。在特定情境下，粒子枪可用于迅速采样最小偏置事件中产生的单个粒子的动力学。CIMBA（最小偏置近似的三次插值）提供了一套全面的工具，能够从任何通用蒙特卡洛生成器中平滑采样预定义的动力学网格，适用于最小偏置事件中产生的所有粒子。这些网格涵盖了多种束流配置，包括大型强子对撞机的配置。