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
{"title":"高粒度双读数量热仪:经典原型的演变","authors":"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","doi":"arxiv-2408.15430","DOIUrl":null,"url":null,"abstract":"The original dual-readout calorimeter prototype (DREAM), constructed two\ndecades ago, has proven instrumental in advancing our understanding of\ncalorimetry. It has facilitated a multitude of breakthroughs by leveraging\nsignals from complementary media (Cherenkov and scintillation) to capture\nfluctuations in electromagnetic energy fraction within hadronic showers. Over\nthe years, extensive studies have shed light on the performance characteristics\nof this module, rendering it exceptionally well-understood. Drawing on this\nwealth of experience, we have embarked on enhancing the detectors' capabilities\nfurther by integrating fast silicon photomultipliers (SiPMs) with finer\ntransverse segmentation, $\\sim$1 cm$^2$, as well as longitudinal segmentation\nby timing measuring better than 10 cm. This configuration will allow us to\nimage hadronic showers with high granularity (HG-DREAM). We argue that the\nspatial information provided by such a granular detector in a short time window\n($\\approx$5 ns) leads to substantial enhancement in energy resolution when\nadvanced neural networks are employed in energy reconstruction. We briefly\npresent the current status of work, new concepts that have been introduced to\nthe detector, and expectations from simulations.","PeriodicalId":501374,"journal":{"name":"arXiv - PHYS - Instrumentation and Detectors","volume":"4 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"High-granularity Dual-readout Calorimeter: Evolution of a Classic Prototype\",\"authors\":\"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\",\"doi\":\"arxiv-2408.15430\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The original dual-readout calorimeter prototype (DREAM), constructed two\\ndecades ago, has proven instrumental in advancing our understanding of\\ncalorimetry. It has facilitated a multitude of breakthroughs by leveraging\\nsignals from complementary media (Cherenkov and scintillation) to capture\\nfluctuations in electromagnetic energy fraction within hadronic showers. Over\\nthe years, extensive studies have shed light on the performance characteristics\\nof this module, rendering it exceptionally well-understood. Drawing on this\\nwealth of experience, we have embarked on enhancing the detectors' capabilities\\nfurther by integrating fast silicon photomultipliers (SiPMs) with finer\\ntransverse segmentation, $\\\\sim$1 cm$^2$, as well as longitudinal segmentation\\nby timing measuring better than 10 cm. This configuration will allow us to\\nimage hadronic showers with high granularity (HG-DREAM). We argue that the\\nspatial information provided by such a granular detector in a short time window\\n($\\\\approx$5 ns) leads to substantial enhancement in energy resolution when\\nadvanced neural networks are employed in energy reconstruction. We briefly\\npresent the current status of work, new concepts that have been introduced to\\nthe detector, and expectations from simulations.\",\"PeriodicalId\":501374,\"journal\":{\"name\":\"arXiv - PHYS - Instrumentation and Detectors\",\"volume\":\"4 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-08-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - PHYS - Instrumentation and Detectors\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2408.15430\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Instrumentation and Detectors","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2408.15430","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
High-granularity Dual-readout Calorimeter: Evolution of a Classic Prototype
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.