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.

高能粒子碰撞的蒙特卡洛（Monte Carlo）模拟生成，是理论与实验粒子物理学领域的核心工具，既能将微扰计算与现象学模型相联结，也可实现理论预言与完整探测器模拟的无缝衔接。最小偏置事件（minimum bias events）的生成往往计算开销尤为庞大，此时非微扰效应占据主导地位，且特定过程与fiducial区域（fiducial regions）已难以得到良好界定。在特定场景中，可借助粒子枪（particle guns）对最小偏置事件内产生的单粒子运动学特性进行快速采样。CIMBA（Cubic Interpolation for Minimum Bias Approximation）提供了一套完备的工具包，可针对最小偏置事件中产生的全部粒子，从任意通用蒙特卡洛生成器中平滑采样其预定义的运动学网格。上述运动学网格已针对多种束流配置生成，其中涵盖大型强子对撞机（Large Hadron Collider）的束流配置方案。