Experimental Research in Elementary Particle Physics

基本粒子物理实验研究

• 批准号: 2209460
• 负责人: Eva Halkiadakis
• 金额: $ 440.03万
• 依托单位: Rutgers University New Brunswick
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-06-01 至 2025-05-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2209460&HistoricalAwards=false
• 关键词: Experimental; Research; Elementary; Particle; Physics

Particle physics is focused on the search for the most basic building blocks of the Universe and the rules that bind them. The CERN Large Hadron Collider (LHC), located near Geneva, Switzerland is the world's most powerful particle accelerator, able to reach the highest particle energies in a laboratory setting. The CMS detector at the LHC is one of the world's most powerful and sophisticated cameras, observing the collisions of protons and recording the outcomes for detailed study by CMS experimentalists. The members of the high energy physics group at Rutgers University have been crucial to the construction, maintenance, and continued improvement of the device itself. They have initiated and guided several studies of the data collected, including ones that led to the discovery of the Higgs boson in 2012. The data being gathered now and in the coming years will allow a greater understanding of the basic structure of nature, perhaps including insights into the huge difference in the strengths of the fundamental forces, or even glimpses of new fundamental particles. The Rutgers high energy physics group will continue to be at the forefront of these investigations. The Rutgers high energy physics group is carrying out several physics searches with the CMS experiment at CERN, studying proton-proton interactions at a center-of-mass energy of 13 TeV. They continue to innovate and implement new data analysis techniques in searches for new physics signatures with leptons, photons, jets and missing energy. They are also incorporating ideas like high-speed pattern recognition, deep multivariate neural networks, self-guided machine learning, and image recognition into the search for new physics at the deepest levels. The group has a history of leadership in CMS, including leading major analysis groups and leading efforts on detector hardware and operations in the areas of tracking, calorimetry and luminosity measurement. They work closely with theorists to bring forth new ideas, leading to a rich program of physics analyses that has originated from their efforts. This award also allows the Rutgers group to continue deploying an improved version of front-end electronics they designed for the pixel detector, as well as testing and installation of the front-end electronics for the forward hadron calorimeter. They are also working on longer-term upgrades, specifically the Outer Tracker and a fast Track Trigger, introducing innovative ideas that promise to increase the reach for new physics to regions not previously capable of being probed by any collider. They are in the process of establishing a production and testing facility for the upgrades. Through the Rutgers QuarkNet program, the group runs summer workshops for high-school teachers and students from across New Jersey, analyzing LHC data and building cosmic-ray telescopes. They also mentor undergraduate students from Rutgers and the NSF REU program, as well as qualified high school students. These students work closely with the group and contribute to ongoing studies and physics analyses. To address the underrepresentation of women in STEM fields, they are helping develop programs to provide research opportunities to collegiate and pre-college women. They have developed a highly successful intensive instructional program for high school physics teachers in AP-level physics which has led to improved student understanding of physics, and a marked increase in perfect scores on the AP-physics exam. The Rutgers group continues to convey the excitement of particle physics with frequent talks at local high schools, libraries, and other venues.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.

粒子物理专注于搜索宇宙中最基本的构建块及其绑定的规则。位于瑞士日内瓦附近的CERN大型强子对撞机（LHC）是世界上最强大的粒子加速器，能够在实验室环境中达到最高的粒子能量。 LHC的CMS探测器是世界上最强大，最复杂的相机之一，观察了质子的碰撞并记录了CMS实验者的详细研究结果。罗格斯大学高能物理小组的成员对于设备本身的建设，维护和持续改进至关重要。他们启动并指导了对收集的数据的几项研究，包括导致2012年发现希格斯玻色子的数据。现在和未来几年收集的数据将使人们对自然的基本结构有更深入的了解，包括对基本力量的强度巨大差异，甚至是新基本粒子的景象的巨大差异。 Rutgers高能量物理小组将继续处于这些调查的最前沿。 Rutgers高能量物理小组正在通过CERN的CMS实验进行几次物理搜索，研究了13 TEV的质量中心能量的质子 - 蛋白质相互作用。他们继续创新并实施新的数据分析技术，以搜索具有瘦素，光子，喷气器和缺失能量的新物理学特征。他们还将高速模式识别，深层多元神经网络，自指导机器学习和图像识别等思想纳入了最深层次的新物理学。该小组在CMS中具有领导力的历史，包括领先的主要分析小组以及在跟踪，量热和亮度测量领域的探测器硬件和操作方面的领导努力。他们与理论家紧密合作，提出新的想法，从而导致了源于其努力的丰富物理分析计划。该奖项还允许Rutgers Group继续部署他们为像素探测器设计的前端电子产品的改进版本，以及针对前进Hadron Calorimeter的前端电子设备的测试和安装。他们还在研究长期升级，特别是外部跟踪器和快速轨道触发器，引入了创新的想法，有望将新物理学的覆盖范围提高到以前无法被任何对撞机探查的地区。他们正在为升级建立生产和测试设施。通过Rutgers Quarknet计划，该小组为来自新泽西州的高中老师和学生举办了夏季研讨会，分析了LHC数据并构建宇宙射线望远镜。他们还指导来自Rutgers和NSF REU计划的本科生以及合格的高中生。这些学生与小组紧密合作，并为正在进行的研究和物理分析做出贡献。为了解决STEM领域中妇女的人数不足，他们正在帮助制定计划，为大学和大学前妇女提供研究机会。他们为AP级物理学的高中物理教师开发了一项非常成功的密集教学计划，这使学生对物理学的理解得到了提高，并且在AP物理学考试中得分明显提高。罗格斯小组继续在当地高中，图书馆和其他场所进行频繁的谈判来传达粒子物理的兴奋。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的智力优点评估来支持的，并具有更广泛的影响。

项目成果

Beam test performance of a prototype module with Short Strip ASICs for the CMS HL-LHC tracker upgrade

• DOI: 10.1088/1748-0221/17/06/p06039
• 发表时间: 2022-06
• 期刊: Journal of Instrumentation
• 影响因子: 1.3
• 作者: W. Adam;T. Bergauer;K. Damanakis;M. Dragicevic;R. Frühwirth;H. Steininger;W. Beaumont;D. Di Croce;X. Janssen;T. Kello;A. Lelek;P. Van Mechelen;S. Van Putte;N. van Remortel;M. Delcourt;A. De Moor;J. D’Hondt;S. Lowette;A. Morton;D. Muller;A. R. Sahasransu;E. Sørensen Bols;D. Vannerom;Y. Allard;B. Clerbaux;S. Dansana;G. De Lentdecker;W. Deng;L. Favart;D. Hohov;A. Khalilzadeh;K. Lee;M. Mahdavikhorrami;I. Makarenko;S. Paredes;N. Postiau;F. Robert;L. Thomas;M. Vanden Bemden;P. Vanlaer;H. Wang;Y. Yang;A. Benecke;A. Bethani;G. Bruno;F. Bury;C. Caputo;P. David;A. Deblaere;C. Delaere;I. S. Donertas;A. Giammanco;S. Jain;V. Lemaitre;K. Mondal;J. Prisciandaro;N. Szilasi;A. Taliercio;M. Teklishyn;Pietro Vischia;S. Wertz;V. Brigljevic;B. Chitroda;D. Ferencek;D. Majumder;S. Mishra;M. Roguljic;A. Starodumov;T. Susa;P. Eerola;E. Brücken;T. Lampén;L. Martikainen;E. Tuominen;A. Karadzhinova-Ferrer;P. Luukka;H. Petrow;T. Tuuva;J. Agram;J. Andrea;D. Apparu;D. Bloch;C. Bonnin;J. Brom;E. Chabert;L. Charles;C. Collard;E. Dangelser;U. Goerlach;C. Grimault;L. Gross;C. Haas;M. Krauth;E. Nibigira;N. Ollivier-Henry;E. Silva Jiménez;E. Asilar;G. Baulieu;G. Boudoul;L. Caponetto;N. Chanon;D. Contardo;P. Dené;T. Dupasquier;G. Galbit;N. Lumb;L. Mirabito;B. Nodari;M. Vander Donckt;S. Viret;V. Botta;L. Feld;W. Karpinski;K. Klein;M. Lipinski;D. Louis;D. Meuser;A. Pauls;G. Pierschel;M. Rauch;N. Röwert;J. Schulz;M. Teroerde;M. Wlochal;C. Dziwok;G. Fluegge;O. Pooth;A. Stahl;T. Ziemons;S. Bhattacharya;F. Blekman;A. Campbell;C. Cheng;S. Consuegra Rodríguez;G. Eckerlin;D. Eckstein;Ettore Gallo;M. Guthoff;C. Kleinwort;R. Mankel;H. Maser;C. Muhl;A. Mussgiller;A. Nürnberg;Y. Otarid;O. Reichelt;M. Savitskyi;P. Schütze;R. Stever;N. Tonon;A. Velyka;A. Ventura Barroso;R. Walsh;Q. Wang;A. Zuber;M. Antonello;H. Biskop;P. Buhmann;P. Connor;F. Feindt;A. Froehlich;E. Garutti;M. Hajheidari;J. Haller;A. Hinzmann;H. Jabusch;G. Kasieczka;R. Klanner;V. Kutzner;J. Lange;T. Lange;S. Martens;M. Mrowietz;Y. Nissan;K. Pena;P. Schleper;J. Schwandt;G. Steinbrück;A. Tews;J. Wellhausen;I. Zoi;M. Abbas;L. Ardila;M. Balzer;T. Barvich;B. Berger;E. Butz;M. Caselle;W. de Boer;A. Dierlamm;A. Droll;U. Elicabuk;F. Hartmann;U. Husemann;G. Köşker;R. Koppenhöfer;S. Maier;S. Mallows;T. Mehner;J.-O. Müller-Gosewisch;T. Muller;M. Neufeld;O. Sander;I. Shvetsov;H. Simonis;P. Steck;L. Stockmeier;M. Wassmer;F. Wittig;G. Anagnostou;P. Assiouras;G. Daskalakis;I. Kazas;A. Kyriakis;D. Loukas;T. Balázs;M. Bartók;K. Márton;F. Siklér;V. Veszpremi;S. Bahinipati;A. Das;P. Mal;T. Mishra;A. Nayak;D. Pattanaik;P. Saha;S. Swain;A. Bhardwaj;C. Jain;G. Jain;A. Kumar;K. Ranjan;S. Saumya;S. Baradia;R. Bhattacharya;S. Dutta;P. Palit;G. Saha;S. Sarkar;M. Alibordi;P. Behera;S. Chatterjee;G. Dash;P. Jana;P. Kalbhor;J. Libby;M. Mohammad;R. Pradhan;P. Pujahari;N. Saha;K. Samadhan;A. Sharma;A. K. Sikdar;S. Verma;P. Cariola;D. Creanza;M. De Palma;G. De Robertis;A. Di Florio;L. Fiore;F. Loddo;I. Margjeka;M. Mongelli;S. My;L. Silvestris;S. Albergo;S. Costa;A. Di Mattia;R. Potenza;M. A. Saizu;A. Tricomi;C. Tuvè;G. Barbagli;G. Bardelli;M. Brianzi;B. Camaiani;A. Cassese;R. Ceccarelli;R. Ciaranfi;V. Ciulli;C. Civinini;R. D’Alessandro;F. Fiori;E. Focardi;G. Latino;P. Lenzi;M. Lizzo;M. Meschini;S. Paoletti;A. Papanastassiou;R. Seidita;G. Sguazzoni;L. Viliani;P. Chatagnon;F. Ferro;E. Robutti;F. Brivio;M. Dinardo;P. Dini;S. Gennai;L. Guzzi;S. Malvezzi;D. Menasce;L. Moroni;D. Pedrini;D. Zuolo;P. Azzi;N. Bacchetta;P. Bortignon;D. Bisello;T. Dorigo;M. Tosi;H. Yarar;L. Gaioni;M. Manghisoni;L. Ratti;V. Re;E. Riceputi;G. Traversi;P. Asenov;G. Baldinelli;F. Bianchi;G. Bilei;S. Bizzaglia;M. Caprai;B. Checcucci;D. Ciangottini;A. Di Chiaro;L. Fanò;L. Farnesini;M. Ionica;M. Magherini;G. Mantovani;V. Mariani;M. Menichelli;A. Morozzi;F. Moscatelli;D. Passeri;A. Piccinelli;P. Placidi;A. Rossi;A. Santocchia;D. Spiga;L. Storchi;T. Tedeschi;C. Turrioni;P. Azzurri;G. Bagliesi;A. Basti;R. Beccherle;L. Bianchini;T. Boccali;F. Bosi;R. Castaldi;M. Ciocci;V. D'Amante;R. Dell'Orso;S. Donato;A. Giassi;F. Ligabue;G. Magazzú;E. Manca;M. Massa;E. Mazzoni;A. Messineo;A. Moggi;M. Musich;F. Palla;S. Parolia;P. Prosperi;F. Raffaelli;G. Ramirez Sanchez;A. Rizzi;S. Roy Chowdhury;P. Spagnolo;R. Tenchini;G. Tonelli;A. Venturi;P. Verdini;S. Zagaria;N. Bartosik;R. Bellan;S. Coli;M. Costa;R. Covarelli;G. Dellacasa;N. Demaria;S. Garbolino;S. Garrafa Botta;M. Grippo;F. Luongo;A. Mecca;E. Migliore;E. Monteil;G. Ortona;L. Pacher;F. Rotondo;A. Vagnerini;A. Ahmad;M. Ahmad;M. Asghar;A. Awais;M. Awan;M. Saleh;A. Calderon;J. Duarte Campderros;M. Fernandez;G. Gomez;F. G. González Sánchez;R. Jaramillo Echeverria;C. Lasaosa;D. Moya;J. Piedra;A. Ruiz Jimeno;L. Scodellaro;I. Vila;A. L. Virto;J. Vizan Garcia;D. Abbaneo;I. Ahmed;E. Albert;J. Almeida;M. Barinoff;J. Batista Lopes;G. Bergamin;G. Blanchot;F. Boyer;Alessandro Caratelli;R. Carnesecchi;D. Ceresa;J. Christiansen;K. Cichy;J. Daguin;S. Détraz;M. Dudek;N. Emriskova;F. Faccio;N. Frank;T. French;Á. Hollós;J. Kapłon;K. Kloukinas;N. Koss;L. Kottelat;D. Koukola;M. Kovacs;J. Lalić;A. La Rosa;P. Lenoir;R. Loos;A. Marchioro;A. Mastronikolis;I. Mateos Domínguez;S. Mersi;S. Michelis;A. Nookala;A. Onnela;S. Orfanelli;T. Pakulski;A. Papadopoulos;A. Pérez;F. P. Pérez Gómez;J. Pernot;P. Petagna;Q. Piazza;Z. Pissaki;P. Rose;S. Scarfi;M. Sinani;R. Tavares Rego;P. Tropea;J. Troska;A. Tsirou;F. Vasey;P. Vichoudis;A. Zografos;W. Bertl;L. Caminada;A. Ebrahimi;W. Erdmann;R. Horisberger;H. Kaestli;D. Kotlinski;C. Lange;U. Langenegger;B. Meier;M. Missiroli;L. Noehte;T. Rohe;S. Streuli;K. Androsov;M. Backhaus;R. Becker;P. Berger;A. Calandri;A. de Cosa;D. di Calafiori;L. Djambazov;M. Donega;C. Dorfer;F. Eble;F. Glessgen;C. Grab;D. Hits;W. Lustermann;M. Meinhard;J. Niedziela;V. Perovic;M. Reichmann;B. Ristic;U. Roeser;D. Ruini;J. Sörensen;R. Wallny;P. Bärtschi;K. Bösiger;D. Brzhechko;F. Canelli;K. Cormier;R. Del Burgo;A. De Wit;M. Huwiler;W. Jin;A. Jofrehei;B. Kilminster;S. Leontsinis;S. Liechti;A. Macchiolo;R. Maier;V. Mikuni;U. Molinatti;I. Neutelings;A. Reimers;P. Robmann;S. Sánchez Cruz;Y. Takahashi;D. Wolf;P.H. Chen;W. Hou;R. Lu;E. Clement;D. Cussans;J. Goldstein;S. Seif El Nasr-storey;N. Stylianou;J. Coughlan;K. Harder;M. Holmberg;K. Manolopoulos;T. Schuh;I. Tomalin;R. Bainbridge;J. Borg;C. Brown;G. Fedi;G. Hall;D. Monk;D. Parker;M. Pesaresi;K. Uchida;K. Coldham;J. Cole;M. Ghorbani;A. Khan;P. Kyberd;I. Reid;R. Bartek;A. Dominguez;R. Uniyal;A. Vargas Hernandez;G. Benelli;B. Burkle;X. Coubez;U. Heintz;N. Hinton;J. Hogan;A. Honma;A. Kent;A. Korotkov;D. Li;M. Lukasik;M. Narain;N. Pervan;S. Sagir;F. Simpson;E. Spencer;E. Usai;W. Y. Wong;W. Zhang;E. Cannaert;M. Chertok;J. Conway;G. Haza;D. Hemer;F. Jensen;J. Thomson;W. Wei;T. Welton;R. Yohay;F. Zhang;G. Hanson;W. Si;P. Chang;S. Cooperstein;R. Gerosa;L. Giannini;S. Krutelyov;B.N. Sathia;V. Sharma;M. Tadel;A. Yagil;V. Dutta;J. Incandela;M. Kilpatrick;S. Kyre;P. Masterson;M. Quinnan;J. Cumalat;W. Ford;A. Hassani;G. Karathanasis;E. Macdonald;A. Perloff;C. Savard;N. Schonbeck;K. Stenson;K. Ulmer;S. Wagner;N. Zipper;J. Alexander;S. Bright-Thonney;Xi Chen;D. Cranshaw;J. Fan;X. Fan;A. Filenius;S. Hogan;P. Kotamnives;S. Lantz;J. Monroy;H. Postema;J. Reichert;M. Reid;D. Riley;A. Ryd;K. Smolenski;C. Strohman;J. Thom;P. Wittich;R. Zou;A. Bakshi;D. Berry;K. Burkett;D. Butler;A. Canepa;G. Derylo;J. Dickinson;K. Di Petrillo;A. Ghosh;C. Gingu;H. Gonzalez;S. Grünendahl;L. Horyn;M. Johnson;P. Klabbers;C. M. Lei;R. Lipton;S. Los;P. Merkel;S. Nahn;F. Ravera;L. Ristori;R. Rivera;L. Spiegel;L. Uplegger;E. Voirin;H. Weber;H. Becerril Gonzalez;S. Dittmer;A. Evdokimov;O. Evdokimov;C. Gerber;D. Hofman;C. Mills;T. Roy;S. Rudrabhatla;J. Yoo;M. Alhusseini;S. Durgut;J. Nachtman;Y. Onel;C. Rude;C. Snyder;Kai Yi;O. Amram;N. Eminizer;A. Gritsan;S. Kyriacou;P. Maksimovic;C. Mantilla Suárez;J. Roskes;M. Swartz;T. Vámi;J. Anguiano;A. Bean;R. Salvatico;C. Smith;G. Wilson;A. Ivanov;A. Modak;R. Taylor;K. Bloom;D. Claes;C. Fangmeier;F. Golf;C. Joo;I. Kravchenko;J. Siado;I. Iashvili;A. Kharchilava;C. McLean;D. Nguyen;J. Pekkanen;S. Rappoccio;A. Albert;Z. Demiragli;D. Gastler;E. Hazen;A. Peck;J. Rohlf;J. Li;A. Parker;L. Skinnari;K. Hahn;Y. Liu;K. Sung;A. Basnet;C. Hill;K. Wei;B. Winer;B. Yates;S. Malik;S. Norberg;J. E. Ramirez Vargas;R. Chawla;S. Das;M. Jones;A. Jung;A. Koshy;Mengxing Liu;G. Negro;J. Thieman;T. Cheng;J. Dolen;N. Parashar;K. Ecklund;S. Freed;T. Nussbaum;R. Demina;J. Dulemba;O. Hindrichs;S. Korjenevski;Y. Gershtein;E. Halkiadakis;A. Hart;C. Kurup;A. Lath;K. Nash;M. Osherson;S. Schnetzer;R. Stone;C. Xia;S. Fiorendi;T. Holmes;L. Lee;S. Spanier;R. Eusebi;P. D’Angelo;W. Johns

Model selection and signal extraction using Gaussian Process regression

• DOI: 10.1007/jhep02(2023)230
• 发表时间: 2022-02
• 期刊: Journal of High Energy Physics
• 影响因子: 5.4
• 作者: A. Gandrakota;A. Lath;A. Morozov;S. Murthy

Review of particle physics

• DOI: 10.1016/j.physletb.2008.07.018
• 发表时间: 2008-09-18
• 期刊: PHYSICS LETTERS B
• 影响因子: 4.4
• 作者: Amsler, C.;Doser, M.;Zyla, P. A.
• 通讯作者: Zyla, P. A.

earch for a W′ boson decaying to a vector-like quark and a top or bottom quark in the all-jets final state at $$ \sqrt{\mathrm{s}} $$ = 13 TeV

寻找在 $$ sqrt{mathrm{s}} $$ = 13 TeV 处全射流最终状态下衰变为矢量夸克和顶夸克或底夸克的 W−玻色子

• DOI: 10.1007/jhep09(2022)088
• 发表时间: 2022
• 期刊: Journal of High Energy Physics
• 影响因子: 5.4
• 作者: Tumasyan, A.;Adam, W.;Andrejkovic, J. W.;Bergauer, T.;Chatterjee, S.;Dragicevic, M.;Escalante Del Valle, A.;Frühwirth, R.;Jeitler, M.;Krammer, N.
• 通讯作者: Krammer, N.

Search for long-lived particles decaying into muon pairs in proton-proton collisions at $$ \sqrt{s} $$ = 13 TeV collected with a dedicated high-rate data stream

使用专用高速数据流收集 $$ sqrt{s} $$ = 13 TeV 的质子-质子碰撞中，搜索衰变成 μ 介子对的长寿命粒子

• DOI: 10.1007/jhep04(2022)062
• 发表时间: 2022
• 期刊: Journal of High Energy Physics
• 影响因子: 5.4
• 作者: Tumasyan, A.;Adam, W.;Andrejkovic, J. W.;Bergauer, T.;Chatterjee, S.;Dragicevic, M.;Escalante Del Valle, A.;Frühwirth, R.;Jeitler, M.;Krammer, N.
• 通讯作者: Krammer, N.