论文标题

重离子碰撞中喷气机背景中波动的模型研究

Model studies of fluctuations in the background for jets in heavy ion collisions

论文作者

Hughes, Charles, Da Silva, Antonio Carlos Oliveira, Nattrass, Christine

论文摘要

在高能重离子碰撞中产生的喷气机被夸克gluon等离子体淬灭。这些喷气机的测量受到用于抑制和减去这些方法固有的大型,波动背景和假设的方法的影响。我们比较了$ \ sqrt {s_ {s_ {nn}} $ = 2.76 TEV的PB+PB碰撞中背景的测量值$ = 2.76 TEV $ \ useverline {(b。abelev\ abelev \ textit {et et et et al。},毕曲霉angantyr。对这些波动宽度的详细理解对于减少不确定性的不确定性很重要,这是由于对较低的矩和较大分辨率参数的展开和扩展。在tenngen中随机锥体中能量的标准偏差大致与爱丽丝纸中预测的形式一致,偏差为1--6%。在Angantyr中随机锥体中能量的标准偏差超过相同的预测约13%。两个模型中的偏差都可以通过以下假设来解释:单粒子$ d^2n/dy $ $ $ dp_t $是预测推导的伽马分布,而模型使用不同的分布。这表明模型比较可能对背景的处理可能敏感。我们证明,用于删除Jets背景波动的展开方法可能会影响模型和数据之间的比较,即使在没有检测器效果} $的情况下,$ \ textIt {即使是$ \ textit {即使是在$的情况下。我们的发现表明需要更仔细地考虑比较模拟和数据的方法。

Jets produced in high energy heavy ion collisions are quenched by the quark gluon plasma. Measurements of these jets are influenced by the methods used to suppress and subtract the large, fluctuating background and the assumptions inherent in these methods. We compare the measurements of the background in Pb+Pb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV by the ALICE Collaboration $\underline{(B. Abelev \textit{et al.}, J. High Energy Phys. \mathbf{2012}, 053)}$ to calculations in TennGen (a data-driven random background generator) and PYTHIA Angantyr. A detailed understanding of the width of these fluctuations is important for reducing uncertainties due to unfolding and extending measurements to lower momenta and larger resolution parameters. The standard deviation of the energy in random cones in TennGen is approximately in agreement with the form predicted in the ALICE paper, with deviations of 1--6%. The standard deviation of energy in random cones in Angantyr exceeds the same predictions by approximately 13%. Deviations in both models can be explained by the assumption that the single-particle $d^2N/dy$ $dp_T$ is a gamma distribution in the derivation of the prediction, whereas the model uses a different distribution. This indicates that model comparisons are potentially sensitive to the treatment of the background. We demonstrate that unfolding methods used to remove background fluctuations from jets can affect the comparisons between models and data, $\textit{even in the absence of detector effects}$. Our findings suggest the need to more carefully consider methods for comparing simulations and data.

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