{"title":"cd -3探测器液氙量热计信号到达时间的确定算法","authors":"Yu. V. Yudin, L. B. Epshtein, K. Yu. Mikhailov","doi":"10.1134/S1063779624701399","DOIUrl":null,"url":null,"abstract":"<p>In CMD-3 detector the <i>n</i>–<span>\\(\\bar {n}\\)</span> pair production events can be detected only by the calorimeters where a large energy deposition from antineutron annihilation occurs. For identification of such events it is necessary to determine the arrival time of the calorimeter signals with accuracy of several nanoseconds. Preliminary estimations have shown that the required time resolution can be obtained only basing on signals of the liquid‑xenon calorimeter. The shapes of the liquid‑xenon calorimeter’s output electric signals differ substantially from event to event, thus an additional error is added to the measured signal arrival time even when a constant‑fraction discriminator is used. For measuring the arrival time of the liquid‑xenon calorimeter’s signals a special digital signal processing algorithm has been developed which allows one to reduce the error of signal arrival time determination added by the difference of signals' shapes. In this paper the developed algorithm is described and the results obtained after optimization of this algorithm on the real events data are presented.</p>","PeriodicalId":729,"journal":{"name":"Physics of Particles and Nuclei","volume":"56 2","pages":"186 - 190"},"PeriodicalIF":0.5000,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Algorithm for Determination of Arrival Time of Signals from the Liquid Xenon Calorimeter of CMD-3 Detector\",\"authors\":\"Yu. V. Yudin, L. B. Epshtein, K. Yu. Mikhailov\",\"doi\":\"10.1134/S1063779624701399\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>In CMD-3 detector the <i>n</i>–<span>\\\\(\\\\bar {n}\\\\)</span> pair production events can be detected only by the calorimeters where a large energy deposition from antineutron annihilation occurs. For identification of such events it is necessary to determine the arrival time of the calorimeter signals with accuracy of several nanoseconds. Preliminary estimations have shown that the required time resolution can be obtained only basing on signals of the liquid‑xenon calorimeter. The shapes of the liquid‑xenon calorimeter’s output electric signals differ substantially from event to event, thus an additional error is added to the measured signal arrival time even when a constant‑fraction discriminator is used. For measuring the arrival time of the liquid‑xenon calorimeter’s signals a special digital signal processing algorithm has been developed which allows one to reduce the error of signal arrival time determination added by the difference of signals' shapes. In this paper the developed algorithm is described and the results obtained after optimization of this algorithm on the real events data are presented.</p>\",\"PeriodicalId\":729,\"journal\":{\"name\":\"Physics of Particles and Nuclei\",\"volume\":\"56 2\",\"pages\":\"186 - 190\"},\"PeriodicalIF\":0.5000,\"publicationDate\":\"2025-05-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Physics of Particles and Nuclei\",\"FirstCategoryId\":\"101\",\"ListUrlMain\":\"https://link.springer.com/article/10.1134/S1063779624701399\",\"RegionNum\":4,\"RegionCategory\":\"物理与天体物理\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"PHYSICS, PARTICLES & FIELDS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physics of Particles and Nuclei","FirstCategoryId":"101","ListUrlMain":"https://link.springer.com/article/10.1134/S1063779624701399","RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PHYSICS, PARTICLES & FIELDS","Score":null,"Total":0}
Algorithm for Determination of Arrival Time of Signals from the Liquid Xenon Calorimeter of CMD-3 Detector
In CMD-3 detector the n–\(\bar {n}\) pair production events can be detected only by the calorimeters where a large energy deposition from antineutron annihilation occurs. For identification of such events it is necessary to determine the arrival time of the calorimeter signals with accuracy of several nanoseconds. Preliminary estimations have shown that the required time resolution can be obtained only basing on signals of the liquid‑xenon calorimeter. The shapes of the liquid‑xenon calorimeter’s output electric signals differ substantially from event to event, thus an additional error is added to the measured signal arrival time even when a constant‑fraction discriminator is used. For measuring the arrival time of the liquid‑xenon calorimeter’s signals a special digital signal processing algorithm has been developed which allows one to reduce the error of signal arrival time determination added by the difference of signals' shapes. In this paper the developed algorithm is described and the results obtained after optimization of this algorithm on the real events data are presented.
期刊介绍:
The journal Fizika Elementarnykh Chastits i Atomnogo Yadr of the Joint Institute for Nuclear Research (JINR, Dubna) was founded by Academician N.N. Bogolyubov in August 1969. The Editors-in-chief of the journal were Academician N.N. Bogolyubov (1970–1992) and Academician A.M. Baldin (1992–2001). Its English translation, Physics of Particles and Nuclei, appears simultaneously with the original Russian-language edition. Published by leading physicists from the JINR member states, as well as by scientists from other countries, review articles in this journal examine problems of elementary particle physics, nuclear physics, condensed matter physics, experimental data processing, accelerators and related instrumentation ecology and radiology.