Calculation of high energy neutrino-nucleon cross sections and uncertainties using the Martin-Stirling-Thorne-Watt parton distribution functions and implications for future experiments
Calculation of high energy neutrino-nucleon cross sections and uncertainties using the Martin-Stirling-Thorne-Watt parton distribution functions and implications for future experiments
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使用 Martin-Stirling-Thorne-Watt 部分子分布函数计算高能中微子-核子截面和不确定性以及对未来实验的影响
DOI：
10.1103/physrevd.83.113009
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发表时间：
2011
影响因子：
5
通讯作者：
Connolly A
中科院分区：
文献类型：
--
作者：
Connolly A
本文利用最新的Martin-Stirling-Thorne-Watt（MSTW）部分子分布函数（PDF），MSTW 2008，给出了中微子能区带电电流和中性电流以及相互作用截面的新计算方法.我们还提出了相关的不确定性传播的PDF，以及参数化的横截面中心值，其不确定性的界限，和非弹性分布，便于使用的Monte Carlo模拟。对于后者，我们只提供上述能量的参数化。最后，我们评估了未来中微子实验的可行性，以限制在中微子能量制度的交叉部分，使用的技术是独立的入射中微子的通量谱。从预测的标准模型横截面的显着偏差可能是一个新的物理，如额外的时空维度的指示，我们提出了预期的约束，这样的模型作为一个函数的事件数在未来的地下中微子探测器。
We present a new calculation of the cross sections for charged current and neutral currentandinteractions in the neutrino energy rangeusing the most recent Martin-Stirling-Thorne-Watt (MSTW) parton distribution functions (PDFs), MSTW 2008. We also present the associated uncertainties propagated from the PDFs, as well as parametrizations of the cross section central values, their uncertainty bounds, and the inelasticity distributions for ease of use in Monte Carlo simulations. For the latter we only provide parametrizations for energies above. Finally, we assess the feasibility of future neutrino experiments to constrain thecross section in the ultrahigh energy regime using a technique that is independent of the flux spectrum of incident neutrinos. A significant deviation from the predicted standard model cross sections could be an indication of new physics, such as extra space-time dimensions, and we present expected constraints on such models as a function of the number of events observed in a future subterranean neutrino detector.
阿斯卡里安无线电阵列
DOI：
10.1017/s1743921312016754
发表时间：
2012
期刊：
Proceedings of the International Astronomical Union
影响因子：
--
作者：
K. Hoffman
通讯作者：
K. Hoffman