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arXiv 2408.15430physics.ins-det
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高粒度双读出量能器:经典原型的演进

High-granularity Dual-readout Calorimeter: Evolution of a Classic Prototype

N. Akchurin, J. Cash, J. Damgov, X. Delashaw, K. Lamichhane, M. Harris, M. Kelley, S. Kunori, H. Mergate-Cacace, T. Peltola, O. Schneider, J. Sewell

AI总结:

本文介绍了高粒度双读出量能器(HG-DREAM)的演进,通过集成快速SiPMs和精细横纵向分段提升成像能力,并利用先进神经网络在短时间窗口内大幅改善能量分辨率。

摘要:

二十年前建造的原始双读出量能器原型(DREAM)已被证明在推进我们对量能术的理解方面发挥了重要作用。它通过利用来自互补介质(Cherenkov和scintillation)的信号来捕捉强子簇射内电磁能量分数的涨落,促成了众多突破。多年来,广泛的研究阐明了该模块的性能特征,使其被理解得异常透彻。借鉴这一丰富经验,我们着手通过集成快速硅光电倍增管(SiPMs)和更细的横向分段(约1 cm$^2$),以及通过优于10 cm的时间测量进行纵向分段,进一步提升探测器的能力。这种配置将允许我们对强子簇射进行高粒度成像(HG-DREAM)。我们认为,在短时间窗口(约5 ns)内,这种粒度探测器提供的空间信息在能量重建中采用先进神经网络时,将大幅提升能量分辨率。我们简要介绍了当前工作的进展、引入探测器的新概念以及模拟的预期结果。

英文摘要:

The original dual-readout calorimeter prototype (DREAM), constructed two decades ago, has proven instrumental in advancing our understanding of calorimetry. It has facilitated a multitude of breakthroughs by leveraging signals from complementary media (Cherenkov and scintillation) to capture fluctuations in electromagnetic energy fraction within hadronic showers. Over the years, extensive studies have shed light on the performance characteristics of this module, rendering it exceptionally well-understood. Drawing on this wealth of experience, we have embarked on enhancing the detectors' capabilities further by integrating fast silicon photomultipliers (SiPMs) with finer transverse segmentation, $\sim$1 cm$^2$, as well as longitudinal segmentation by timing measuring better than 10 cm. This configuration will allow us to image hadronic showers with high granularity (HG-DREAM). We argue that the spatial information provided by such a granular detector in a short time window ($\approx$5 ns) leads to substantial enhancement in energy resolution when advanced neural networks are employed in energy reconstruction. We briefly present the current status of work, new concepts that have been introduced to the detector, and expectations from simulations.

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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