论文标题

瓷砖多读补偿的量热法

Tile Multiple-Readout Compensated Calorimetry

论文作者

Winn, David, Onel, Yasar

论文摘要

储层计算是预测湍流的有力工具,其简单的架构具有处理大型系统的计算效率。然而,其实现通常需要完整的状态向量测量和系统非线性知识。我们使用非线性投影函数将系统测量扩展到高维空间,然后将其输入到储层中以获得预测。我们展示了这种储层计算网络在时空混沌系统上的应用,该系统模拟了湍流的若干特征。我们表明,使用径向基函数作为非线性投影器,即使只有部分观测并且不知道控制方程,也能稳健地捕捉复杂的系统非线性。最后,我们表明,当测量稀疏、不完整且带有噪声,甚至控制方程变得不准确时,我们的网络仍然可以产生相当准确的预测,从而为实际湍流系统的无模型预测铺平了道路。

We propose extending parallel fiber dual readout calorimetry to tiles, more applicable to many future experimental requirements, with superior energy resolution. Monte Carlo (MC) studies indicate that a tile dual calorimeter including an integral Cerenkov-compensated e-m front end and further longitudinal segmentation, not possible with parallel fibers, has equivalent or better resolution. Besides comparison and tuning with dual tile calorimeter data, a MC can be extended to study other dual and then multiple tile sensors including tiles with higher contrast to em-hadron shower fluctuations with low refractive indices (much lower than quartz or plastic), transition radiation, secondary emission, hydrogenous/non-hydrogenous ionization-sensing, and neutron and ion-fragment sensing tiles for improving dual readout not available with fibers, and beyond to triple or more readout. For example, secondary emission tiles (like dynodes) are very sensitive to ion fragments and low energy neutrons. We suggest MC studies for adding Cerenkov and other tiles to Particle Flow/High Granularity tile calorimeters such CALICE and planned in CMS & ATLAS Phase III upgrades, groups studying future machine(ee,pp,ep) detectors, b-physics, tagged neutrino experiments, and space-based calorimeters.

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