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arXiv 2102.09495hep-ex
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通过非弹性蒙特卡罗事件的预采样集模拟ATLAS模拟中附加质子-质子相互作用的影响

Emulating the impact of additional proton-proton interactions in the ATLAS simulation by pre-sampling sets of inelastic Monte Carlo events

ATLAS Collaboration

摘要:

为了分析大型强子对撞机提供的质子-质子碰撞,在ATLAS实验中精确模拟额外的相互作用对计算资源提出了重大挑战。在LHC运行期间(2015-2018),每个束团交叉有多达70个非弹性相互作用,这需要在蒙特卡罗(MC)生产中考虑。在本文档中,描述了一种新的方法来解释仿真链中的这些额外的交互。代替对非弹性相互作用进行采样并将其能量沉积逐个添加到硬散射相互作用中,非弹性相互作用被预采样,独立于硬散射,并存储为组合事件。因此,对于每个硬散射相互作用,仅需要添加一个这样的预采样事件作为模拟链的一部分。对于运行2模拟链,平均每个束团交叉35个相互作用,这种新方法提供了MC生产CPU需求的大幅减少约20%,同时以良好的精度再现与物理分析相关的重建量的属性。

英文摘要:

The accurate simulation of additional interactions at the ATLAS experiment for the analysis of proton-proton collisions delivered by the Large Hadron Collider presents a significant challenge to the computing resources. During the LHC Run (2015-2018) there were up to 70 inelastic interactions per bunch crossing, which need to be accounted for in Monte Carlo (MC) production. In this document, a new method to account for these additional interactions in the simulation chain is described. Instead of sampling the inelastic interactions and adding their energy deposits to a hard-scatter interaction one-by-one, the inelastic interactions are presampled, independent of the hard scatter, and stored as combined events. Consequently, for each hard-scatter interaction only one such presampled event needs to be added as part of the simulation chain. For the Run 2 simulation chain, with an average of 35 interactions per bunch crossing, this new method provides a substantial reduction in MC production CPU needs of around 20%, while reproducing the properties of the reconstructed quantities relevant for physics analyses with good accuracy.

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