Rare Event Searches at MIT

麻省理工学院的罕见事件搜索

• 批准号: 1806440
• 负责人: Lindley Winslow
• 金额: $ 70万
• 依托单位: Massachusetts Institute of Technology
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-08-15 至 2021-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1806440&HistoricalAwards=false
• 关键词: Rare; Event; Searches; MIT

Despite its successes, the Standard Model of particle physics cannot be the end of the story. There are too many features that the model does not explain, including the origin of dark matter, why neutrino masses are so light, how the matter-antimatter asymmetry arose, and why Charge-Parity-violation only appears when weak forces are concerned. These are the questions that motivate the Rare Event Search Group at the Massachusetts Institute of Technology (MIT). This award provides support for two beyond-Standard-Model searches: the axion search ABRACADABRA, and the neutrinoless double-beta decay (NLDBD) search KamLAND-Zen and related R&D project NuDot. ABRACADABRA will undertake a search for axions, which are one of the particles postulated to form dark matter. A demonstration of neutrinoless double-beta decay would address the questions of why neutrino masses are so light and what produces the matter-anti-matter asymmetry in the universe.The program will deliver several beneficial aspects to society through its integration of undergraduates into the program. The multidisciplinary aspects of the projects are appealing to students across a range of majors, exposing students to particle and nuclear physics when they might otherwise have missed the opportunity. The NuDOT and ABRACADABRA detectors are being developed in close association with scientists at local companies. This exposes the undergraduates in the group to alternative career paths as well as promoting strong ties between academia and industryKamLAND-Zen will be the first ton-scale NLDBD experiment. NuDot, which is a potential upgrade path, can open the door to even large scales. On the other hand, ABRACADABRA is leading the way in a new wave of "table top" beyond-Standard-Model experiments. This is a largely unknown experiment, because it is about to bring out first results. ABRACADABRA brings discovery-level particle physics back to the university. The high intellectual merit of the proposed studies is demonstrated by the excellent alignment of the physics questions with the "science drivers" identified by the Particle Physics Program Prioritization Panel (P5). This proposal addresses: 1) the pursuit of the physics associated with neutrino mass; 2) the identification of the new physics of dark matter; and 3) the exploration of the unknown for new particles, interactions and physical principles. This work is similarly well-aligned with the Long Range Plan of the Nuclear Science Advisory Committee (NSAC), which made the call to move quickly on NLDBD experiments.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

尽管取得了成功，粒子物理学的标准模型并不是故事的结局。该模型有太多的特征没有解释，包括暗物质的起源、为什么中微子质量如此轻、物质-反物质不对称性是如何产生的、以及为什么电荷宇称破缺只在弱力时出现。 这些问题激励着麻省理工学院 (MIT) 的罕见事件搜索小组。该奖项为两项超标准模型搜索提供支持：轴子搜索 ABRACADABRA 和中微子双 β 衰变 (NLDBD) 搜索 KamLAND-Zen 以及相关研发项目 NuDot。 ABRACADABRA 将搜寻轴子，轴子是假定形成暗物质的粒子之一。 无中微子双β衰变的演示将解决为什么中微子质量如此轻以及宇宙中物质与反物质不对称性产生的原因等问题。该项目将通过将本科生纳入该项目，为社会带来几个有益的方面。这些项目的多学科方面吸引了各个专业的学生，​​让学生接触到粒子和核物理，否则他们可能会错过这个机会。 NuDOT 和 ABRACADABRA 探测器是与当地公司的科学家密切合作开发的。这使该小组的本科生能够接触到不同的职业道路，并促进学术界和工业界之间的紧密联系。KamLAND-Zen 将是第一个吨级 NLDBD 实验。 NuDot 是一条潜在的升级路径，可以为大规模的发展打开大门。另一方面，ABRACADABRA 正在引领新一轮“桌面”超标准模型实验的潮流。这是一个很大程度上不为人知的实验，因为它即将得出第一个结果。 ABRACADABRA 将发现级粒子物理学带回大学。物理问题与粒子物理计划优先小组（P5）确定的“科学驱动因素”的完美结合证明了拟议研究的高智力价值。该提案涉及：1）探索与中微子质量相关的物理学； 2）暗物质新物理的识别； 3）探索未知的新粒子、相互作用和物理原理。这项工作同样与核科学咨询委员会 (NSAC) 的长期计划高度一致，该计划呼吁迅速开展 NLDBD 实验。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Search for Low-energy Electron Antineutrinos in KamLAND Associated with Gravitational Wave Events

• DOI: 10.3847/1538-4357/abd5bc
• 发表时间: 2020-12
• 期刊: The Astrophysical Journal
• 作者: S. Abe;S. Asami;A. Gando;Y. Gando;T. Gima;A. Goto;T. Hachiya;K. Hata;S. Hayashida;K. Hosokawa;K. Ichimura;S. Ieki;H. Ikeda;K. Inoue;K. Ishidoshiro;Y. Kamei;N. Kawada;Y. Kishimoto;T. Kinoshita;M. Koga;N. Maemura;T. Mitsui;H. Miyake;K. Nakamura;R. Nakamura;H. Ozaki;T. Sakai;H. Sambonsugi;I. Shimizu;J. Shirai;K. Shiraishi;A. Suzuki;Y. Suzuki;A. Takeuchi;K. Tamae;K. Ueshima;Y. Wada;H. Watanabe;Y. Yoshida;S. Obara;A. Kozlov;D. Chernyak;Y. Takemoto;S. Yoshida;S. Umehara;K. Fushimi;A. Ichikawa;K. Nakamura;M. Yoshida;B. Berger;B. Fujikawa;J. Learned;J. Maricic;S. Axani;L. Winslow;Z. Fu;J. Ouellet;Y. Efremenko;H. Karwowski;D. Markoff;W. Tornow;A. Li;J. Detwiler;S. Enomoto;M. Decowski;C. Grant;T. O’Donnell;S. Dell’Oro

Precision Analysis of the 136Xe Two-Neutrino beta beta Spectrum in KamLAND-Zen and Its Impact on the Quenching of Nuclear Matrix Elements

KamLAND-Zen 中 136Xe 二中微子 β β 谱的精确分析及其对核基体元素猝灭的影响

• DOI: 10.1103/physrevlett.122.192501
• 发表时间: 2019
• 期刊: PHYSICAL REVIEW LETTERS
• 影响因子: 8.6
• 作者: 小林研介;W. J. Munro;A. Gando et al. (KamLAND-Zen Collaboration)
• 通讯作者: A. Gando et al. (KamLAND-Zen Collaboration)

Suppression of cosmic muon spallation backgrounds in liquid scintillator detectors using convolutional neural networks

• DOI: 10.1016/j.nima.2019.162604
• 发表时间: 2018-12
• 期刊: Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
• 作者: A. Li;A. Elagin;S. Fraker;C. Grant;L. Winslow

Design and implementation of the ABRACADABRA-10 cm axion dark matter search

ABRACADABRA-10 cm 轴子暗物质搜索的设计与实现

• DOI: 10.1103/physrevd.99.052012
• 发表时间: 2019
• 期刊: Physical Review D
• 影响因子: 5
• 作者: Ouellet, Jonathan L.;Salemi, Chiara P.;Foster, Joshua W.;Henning, Reyco;Bogorad, Zachary;Conrad, Janet M.;Formaggio, Joseph A.;Kahn, Yonatan;Minervini, Joe;Radovinsky, Alexey
• 通讯作者: Radovinsky, Alexey

Solutions to axion electrodynamics in various geometries

各种几何形状的轴子电动力学解决方案

• DOI: 10.1103/physrevd.99.055010
• 发表时间: 2019
• 期刊: Physical Review D
• 影响因子: 5
• 作者: Ouellet, Jonathan;Bogorad, Zachary
• 通讯作者: Bogorad, Zachary