课题基金 / 基金详情

CERN@school and GridPP: harnessing the power of the Worldwide LHC Computing Grid for research in schools and beyond

CERN@school and GridPP: harnessing the power of the Worldwide LHC Computing Grid for research in schools and beyond
CERN@school 和 GridPP:利用全球 LHC 计算网格的力量进行学校及其他领域的研究
批准号:
ST/N00101X/1
负责人:
Tom Whyntie
金额:
$12.7万
依托单位国家:
英国
项目类别:
Fellowship
财政年份:
2015
资助国家:
英国
项目状态:
已结题
起止时间:
2015 至 --

项目摘要

项目成果

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中文摘要
翻译
CERN@school是一个将CERN带入课堂的项目。它为学校学生提供研究级检测器技术,数据分析和存储设施,以及全国范围内的同学,教师和学者合作,以便他们可以在做出重要的职业选择之前进行自己的调查驱动的研究和体验科学家。这项奖学金将支持汤姆超过三年,因为该计划发展到纳入全球LHC计算网格(WLCG),利用用于发现希格斯玻色子的485,000个处理核心和270 PB的存储,通过GridPP合作的新用户参与计划为学校和其他人带来尖端的研究技术。该研究金将支持:* 管理CERN@school实验设施:由Medipix 2合作开发的Timepix混合硅像素探测器可以通过一个约2平方厘米的硅传感器可视化和测量电离辐射,该传感器分为256 x 256像素网格。CERN@school拥有许多基于Timepix探测器的实验设施。其中包括CERN@school探测器网络(目前通过物理研究所的物理教师网络和SEPnet覆盖42所学校、外展团体和科学中心),2014年7月在萨里卫星技术有限公司的TechDemoSat-1号卫星上发射的兰顿终极宇宙射线强度探测器实验,以及欧洲核子研究中心大型强子对撞机(MoEDAL)单极和奇异探测器中的兰顿星星中心的Timepix探测器。由于Tom迄今为止的工作,CERN@school Collaboration的成员可以访问这些设施的数据集。* 促进学校研究使用GridPP资源:GridPP新用户参与计划利用了一些STFC支持的技术,如DIRAC(用于网格处理和存储管理)和CERN虚拟机文件系统(CVMFS)软件部署机制。该奖学金将利用这些技术将学校-特别是贫困地区的学校-纳入网格,以便所有人都能获得数据驱动的物理研究的兴奋。CERN虚拟机(VM)服务可用于将研究软件即时部署到学校并连接到网格。在学校IT基础设施需要的地方,“GridPPi”,一个由Tom开发的Raspberry Pi,可以与CERN@school和GridPP软件一起运行,可以用来吸引更难接触的受众使用CERN科学家使用的数据分析技术。CERN@school研究研讨会:第一届CERN@school研究研讨会于2014年9月在吉尔福德萨里大学举行的第10届位置敏感探测器国际会议(PSD 10)上举行。来自全国各地的100多名学生和教师参加了联合全体会议和海报会议,分享研究项目的进展。还举办了探测器使用和数据分析讲习班。研究金将在今后三年内为这些项目提供支助。IOP物理教师网络的培训和发展:该研究金将与国家学校科学和工程研究中心(NCSERS)和科学学习中心合作,支持为教师、外联官员、科学中心工作人员和物理网络协调员(PNC)制定培训和持续专业发展计划。这包括在课堂上使用探测器的课程计划。这将使所有学校的学生都能受益于欧洲核研究组织@学校方案。
英文摘要
CERN@school is a programme that brings CERN into the classroom. It offers school students access to research-grade detector technology, data analysis and storage facilities, and a nationwide collaboration of fellow students, teachers and academics so that they can pursue their own investigation-driven research and experience being a scientist before making important career choices. This fellowship will support Tom over three years as the programme evolves to incorporate the Worldwide LHC Computing Grid (WLCG), harnessing the 485,000 processing cores and 270 petabytes of storage used to discover the Higgs boson to bring cutting-edge research techniques to schools and others through the GridPP Collaboration's new user engagement programme. The fellowship will support:* Managing the CERN@school experimental facilities: the Timepix hybrid silicon pixel detector, developed by the Medipix2 Collaboration, can visualise and measure ionising radiation via a ~2cm^2 silicon sensor divided into a 256 x 256 pixel grid. CERN@school features a number of experimental facilities based around the Timepix detector. These include the CERN@school detector network (currently reaching 42 schools, outreach groups and science centres via the Institute of Physics' Physics Teacher Network and SEPnet), the Langton Ultimate Cosmic ray Intensity Detector (LUCID) experiment, launched aboard Surrey Satellite Technology Limited's (SSTL's) TechDemoSat-1 in July 2014, and the Langton Star Centre's Timepix detectors in the Monopole and Exotics Detector at the LHC (MoEDAL) at CERN. Thanks to Tom's work to date, datasets from these facilities are accessible to members of the CERN@school Collaboration. The fellowship will support the continued management of these facilities;* Facilitating usage of GridPP resources for schools research: the GridPP New User Engagement programme makes use of a number of STFC-backed technologies such as DIRAC (for grid processing and storage management) and the CERN Virtual Machine File System (CVMFS) software deployment mechanism. The fellowship will exploit these technologies to bring schools - particularly those in deprived areas - onto the grid so that the excitement of data-driven physics research is accessible to all. The CERN Virtual Machine (VM) service can be used to instantly deploy research software into schools and connect to the grid. Where school IT infrastructure requires it, the "GridPPi", a Raspberry Pi developed by Tom to run with CERN@school and GridPP software, may be used instead to engage harder-to-reach audiences with the data analysis techniques used by scientists at CERN.* The CERN@school Research Symposia: the first CERN@school Research Symposium was held in September 2014 in conjunction with the 10th International Conference for Position Sensitive Detectors (PSD10) at the University of Surrey, Guildford. Over one hundred students and teachers from around the country attended the joint plenary and poster sessions to share progress on research projects. Workshops for detector usage and data analysis were also held. The fellowship will support these for the next three years.* Training and development for the IOP Physics Teacher Network: the fellowship will support the development of a training and CPD programme for teachers, outreach officers, science centre staff, and Physics Network Coordinators (PNCs) in collaboration with the National Centre for Science and Engineering Research in Schools (NCSERS) and the Science Learning Centres. This includes lesson plans for using the detectors in class. This will allow students from all schools to benefit from the CERN@school programme.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1103/physrevlett.118.061801
发表时间: 2016-11
期刊: Physical review letters
影响因子: 8.6
作者: [B. Acharya;J. Alexandre;S. Baines;P. Benes;B. Bergmann;J. Bernabeu;H. Brânzaş;M. Campbell;L. Caramete;S. Cecchini;M. de Montigny;A. De Roeck;J. Ellis;M. Fairbairn;D. Felea;J. Flores;M. Frank;D. Frekers;C. García;A. Hirt;J. Janeček;M. Kalliokoski;A. Katre;D.W. Kim;K. Kinoshita;A. Korzenev;D. Lacarrere;S. C. Lee-S. C.-Lee-2257879084;C. Leroy;A. Lionti;J. Mamuzic;A. Margiotta;N. Mauri;N. Mavromatos;P. Mermod;V. Mitsou;R. Orava;B. Parker;L. Pasqualini;L. Patrizii;G. Pǎvǎlaş;J. Pinfold;V. Popa;M. Pozzato;S. Pospíšil;A. Rajantie;R. Ruiz de austri;Z. Sahnoun;M. Sakellariadou;S. Sarkar;G. Semenoff;A. Shaa;G. Sirri;K. Sliwa;R. Soluk;M. Spurio;Y. Srivastava;M. Suk;J. Swain;M. Tenti;V. Togo;J. Tuszynski;V. Vento;O. Vives;Z. Vykydal;T. Whyntie;A. Widom;G. Willems;J. H. Yoon-J. H.-Yoon-1394105628;I. Zgură]
通讯作者: B. Acharya;J. Alexandre;S. Baines;P. Benes;B. Bergmann;J. Bernabeu;H. Brânzaş;M. Campbell;L. Caramete;S. Cecchini;M. de Montigny;A. De Roeck;J. Ellis;M. Fairbairn;D. Felea;J. Flores;M. Frank;D. Frekers;C. García;A. Hirt;J. Janeček;M. Kalliokoski;A. Katre;D.W. Kim;K. Kinoshita;A. Korzenev;D. Lacarrere;S. C. Lee-S. C.-Lee-2257879084;C. Leroy;A. Lionti;J. Mamuzic;A. Margiotta;N. Mauri;N. Mavromatos;P. Mermod;V. Mitsou;R. Orava;B. Parker;L. Pasqualini;L. Patrizii;G. Pǎvǎlaş;J. Pinfold;V. Popa;M. Pozzato;S. Pospíšil;A. Rajantie;R. Ruiz de austri;Z. Sahnoun;M. Sakellariadou;S. Sarkar;G. Semenoff;A. Shaa;G. Sirri;K. Sliwa;R. Soluk;M. Spurio;Y. Srivastava;M. Suk;J. Swain;M. Tenti;V. Togo;J. Tuszynski;V. Vento;O. Vives;Z. Vykydal;T. Whyntie;A. Widom;G. Willems;J. H. Yoon-J. H.-Yoon-1394105628;I. Zgură
Search for magnetic monopoles with the MoEDAL forward trapping detector in 2.11 fb-1 of 13 TeV proton-proton collisions at the LHC
使用 MoEDAL 前向捕获探测器在 LHC 13 TeV 质子-质子碰撞的 2.11 fb-1 中搜索磁单极子
DOI: 10.1016/j.physletb.2018.05.069
发表时间: 2018
期刊: Physics Letters B
影响因子: 4.4
作者: [Acharya B]
通讯作者: Acharya B
Search for Highly-Ionizing Particles in pp Collisions at the LHC's Run-1 Using the Prototype MoEDAL Detector
使用原型 MoEDAL 探测器在 LHC Run-1 的 pp 碰撞中搜索高电离粒子
DOI: 10.48550/arxiv.2112.05806
发表时间: 2021
期刊:
影响因子: --
作者: [Acharya B]
通讯作者: Acharya B
DOI: 10.1007/jhep08(2016)067
发表时间: 2016-04
期刊: Journal of High Energy Physics
影响因子: 5.4
作者: [B. Acharya;J. Alexandre;K. Bendtz;P. Benes;J. Bernabeu;M. Campbell;S. Cecchini;J. Chwastowski;A. Chatterjee;M. Montigny;D. Derendarz;A. Roeck;J. Ellis;M. Fairbairn;D. Felea;M. Frank;D. Frekers;C. García;G. Giacomelli;D. Haşegan;M. Kalliokoski;A. Katre;D.W. Kim;M. King;K. Kinoshita;D. Lacarrere;S. Lee;C. Leroy;A. Lionti;A. Margiotta;N. Mauri;N. Mavromatos;P. Mermod;D. Milstead;V. Mitsou;R. Orava;B. Parker;L. Pasqualini;L. Patrizii;G. Pǎvǎlaş;J. Pinfold;M. Platkevič;V. Popa;M. Pozzato;S. Pospíšil;A. Rajantie;Z. Sahnoun;M. Sakellariadou;S. Sarkar;G. Semenoff;G. Sirri;K. Sliwa;R. Soluk;M. Spurio;Y. Srivastava;R. Staszewski;M. Suk;J. Swain;M. Tenti;V. Togo;M. Trzebinski;J. Tuszynski;V. Vento;O. Vives;Z. Vykydal;T. Whyntie;A. Widom;G. Willems;J. Yoon;The MoEDAL collaboration]
通讯作者: B. Acharya;J. Alexandre;K. Bendtz;P. Benes;J. Bernabeu;M. Campbell;S. Cecchini;J. Chwastowski;A. Chatterjee;M. Montigny;D. Derendarz;A. Roeck;J. Ellis;M. Fairbairn;D. Felea;M. Frank;D. Frekers;C. García;G. Giacomelli;D. Haşegan;M. Kalliokoski;A. Katre;D.W. Kim;M. King;K. Kinoshita;D. Lacarrere;S. Lee;C. Leroy;A. Lionti;A. Margiotta;N. Mauri;N. Mavromatos;P. Mermod;D. Milstead;V. Mitsou;R. Orava;B. Parker;L. Pasqualini;L. Patrizii;G. Pǎvǎlaş;J. Pinfold;M. Platkevič;V. Popa;M. Pozzato;S. Pospíšil;A. Rajantie;Z. Sahnoun;M. Sakellariadou;S. Sarkar;G. Semenoff;G. Sirri;K. Sliwa;R. Soluk;M. Spurio;Y. Srivastava;R. Staszewski;M. Suk;J. Swain;M. Tenti;V. Togo;M. Trzebinski;J. Tuszynski;V. Vento;O. Vives;Z. Vykydal;T. Whyntie;A. Widom;G. Willems;J. Yoon;The MoEDAL collaboration
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