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arXiv 2108.06102hep-ex
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用DNN模拟pp碰撞中的带电粒子多重数和横动量分布

Modeling of charged-particle multiplicity and transverse-momentum distributions in pp collisions using a DNN

E. Shokr, A. De Roeck, M. A. Mahmoud

摘要:

一种机器学习技术被用来拟合高能质子-质子碰撞中的多重性分布,并应用于预测更高能量的碰撞。该方法进行了测试与蒙特卡罗事件发生器事件。用PYTHIA事件发生器模拟了质子-质子碰撞中不同赝快度区间内的带电粒子多重数和横动量分布,其中质心能量$\sqrt{s}$ = 0.9,2.36,2.76,5,7,8,13 TeV用于模型训练和验证,质心能量为10,20,27,50,100和150 TeV用于模型预测.为了确保模型再现带电粒子多重数和横动量的输入变量和输出分布的关系,进行了比较。的多重性和横向动量分布的描述和预测非常好,不仅在训练的情况下,而且在未经训练的能量值。该研究提出了一种通过外推较低能量数据中固有的信息来预测新能量下多重数分布的方法。使用真实数据而不是蒙特卡罗,如在LHC测量的,该技术有可能在非常高的碰撞能量,例如27 TeV或100 TeV的升级HE-LHC和FCC-hh分别使用在LHC收集的数据,即在质心能量从0.9到13 TeV的不同间隔的多重性分布。

英文摘要:

A machine learning technique is used to fit multiplicity distributions in high-energy proton-proton collisions and applied to make predictions for collisions at higher energies. The method is tested with Monte Carlo event generator events. Charged-particle multiplicity and transverse-momentum distributions within different pseudorapidity intervals in proton-proton collisions were simulated using the PYTHIA event generator for center of mass energies $\sqrt{s}$= 0.9, 2.36, 2.76, 5, 7, 8, 13 TeV for model training and validation and at 10, 20, 27, 50, 100 and 150 TeV for model predictions. Comparisons are made in order to ensure the model reproduces the relation input variables and output distributions for the charged particle multiplicity and transverse-momentum. The multiplicity and transverse-momentum distributions are described and predicted very well, not only in the case of the trained but also in the untrained energy values. The study proposes a way to predict multiplicity distributions at a new energy by extrapolating the information inherent in the lower energy data. Using real data instead of Monte Carlo, as measured at the LHC, the technique has the potential to project the multiplicity distributions for different intervals at very high collision energies, e.g. 27 TeV or 100 TeV for the upgraded HE-LHC and FCC-hh respectively, using only data collected at the LHC, i.e. at center of mass energies from 0.9 up to 13 TeV.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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