首页 > 最新文献

Segregation, Inequality, and Urban Development最新文献

英文 中文
Conclusions 结论
Pub Date : 2010-05-01 DOI: 10.1142/9781786347725_0006
Peter Bishop
This thesis has explored the use of PMT hit patterns in time and space for reconstruction and particle identification in liquid scintillator, as well as the application of Bayesian methods to 0νββ signal extraction. Using Hamiltonian Markov Chain Monte Carlo, two dimensional fits in event energy and radius were employed, to predict a SNO+ 0νββ half-life sensitivity of T ββ 1/2 > 1.76× 1026 yr, at 90% confidence, after a three year live-time. β±γ events produced by radioactive decay in the scintillator were shown to have non-point-like timing distributions, produced by the multi-site deposition of Compton scattering γ and the time delay caused by ortho-positronium formation. This characteristic signature was used to differentiate internal backgrounds from pointlike 0νββ events using pulse shape discrimination (PSD) parameters. In particular, a PSD parameter, designed to separate 0νββ from poorly constrained 60Co decay, was used to improve the 3σ mββ discovery level from 191meV, which is already ruled out by Kamland-Zen, to 90.5meV, which is allowed by all experiments. Similarly, 40–60% rejection of each of the dominant external backgrounds inside r < 4.2mwas demonstrated using PSD,without significant sacrifice. For these backgrounds, improved rejection was achieved by accounting for the timing correlations and the angular hit distribution of the external backgrounds. Finally, using a simulationof a next-generation slow-scintillator detector, equipped with a high coverage of high quantum efficiency, fast PMTs, it was shown that the angular distribution of Cherenkov light and the timing distribution of scintillation light can be used to reconstruct the position, time and direction of electrons. This information can be used to reject the 8B elastic scattering background, improving the mββ sensitivity of a 8B dominated experiment by 50%, and, in principle, to determine the underlying mechanism of 0νββ.
本文探讨了利用PMT在时间和空间上的命中模式进行液体闪烁体的重建和粒子识别,以及贝叶斯方法在0νββ信号提取中的应用。利用哈密顿马尔可夫链蒙特卡罗方法,利用事件能量和半径的二维拟合,预测了三年后SNO+ 0νββ半衰期灵敏度T ββ 1/2 > 1.76× 1026 yr,置信度为90%。闪烁体中放射性衰变产生的β±γ事件具有非点状的时间分布,这是由康普顿散射γ的多位点沉积和正电子离子形成引起的时间延迟引起的。利用脉冲形状识别(PSD)参数,利用该特征特征来区分0νββ事件和内部背景。特别地,设计了一个PSD参数,用于分离0νββ和约束不佳的60Co衰变,将3σ mββ的发现水平从191meV(已经被Kamland-Zen排除)提高到90.5meV,这是所有实验都允许的。同样,使用PSD可以在r < 4.2m内对每种主要外部背景进行40-60%的排斥,而没有明显的牺牲。对于这些背景,通过考虑外部背景的时间相关性和角度命中分布,实现了更好的抑制。最后,利用高覆盖、高量子效率、快速pmt的下一代慢闪烁探测器的模拟,证明了Cherenkov光的角分布和闪烁光的定时分布可以用来重建电子的位置、时间和方向。该信息可用于抑制8B弹性散射背景,将8B主导实验的m - ββ灵敏度提高50%,并在原则上确定0νββ的潜在机制。
{"title":"Conclusions","authors":"Peter Bishop","doi":"10.1142/9781786347725_0006","DOIUrl":"https://doi.org/10.1142/9781786347725_0006","url":null,"abstract":"This thesis has explored the use of PMT hit patterns in time and space for reconstruction and particle identification in liquid scintillator, as well as the application of Bayesian methods to 0νββ signal extraction. Using Hamiltonian Markov Chain Monte Carlo, two dimensional fits in event energy and radius were employed, to predict a SNO+ 0νββ half-life sensitivity of T ββ 1/2 > 1.76× 1026 yr, at 90% confidence, after a three year live-time. β±γ events produced by radioactive decay in the scintillator were shown to have non-point-like timing distributions, produced by the multi-site deposition of Compton scattering γ and the time delay caused by ortho-positronium formation. This characteristic signature was used to differentiate internal backgrounds from pointlike 0νββ events using pulse shape discrimination (PSD) parameters. In particular, a PSD parameter, designed to separate 0νββ from poorly constrained 60Co decay, was used to improve the 3σ mββ discovery level from 191meV, which is already ruled out by Kamland-Zen, to 90.5meV, which is allowed by all experiments. Similarly, 40–60% rejection of each of the dominant external backgrounds inside r < 4.2mwas demonstrated using PSD,without significant sacrifice. For these backgrounds, improved rejection was achieved by accounting for the timing correlations and the angular hit distribution of the external backgrounds. Finally, using a simulationof a next-generation slow-scintillator detector, equipped with a high coverage of high quantum efficiency, fast PMTs, it was shown that the angular distribution of Cherenkov light and the timing distribution of scintillation light can be used to reconstruct the position, time and direction of electrons. This information can be used to reject the 8B elastic scattering background, improving the mββ sensitivity of a 8B dominated experiment by 50%, and, in principle, to determine the underlying mechanism of 0νββ.","PeriodicalId":322188,"journal":{"name":"Segregation, Inequality, and Urban Development","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123140915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
期刊
Segregation, Inequality, and Urban Development
全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1