CERN@school: William Crookes' Notebook Radiation Measurement Data

<strong>Overview</strong> This is a set of data collected with a CERN@school Timepix detector suspended above one of the notebooks belonging to William Crookes. It was collected at the Royal Institution of Great Britain, who hold Crookes' notebooks in their archive, as part of Helen Arney's "BIG SCIENCE" event held on Tuesday 18th June 2013. <strong>Experimental Setup</strong> Please see the included photo, "ri_crookes_notebook_setup.jpg", for an illustration of how the detector and notebook were arranged. The desk seen is that of the Royal Institution's Lecture Theatre. This data was collected before the "BIG SCIENCE" event itself, and did not form part of "QUARKGAZING LIVE". <strong>Detector Settings</strong> 600 frames were obtained with an acquisition time of 1 second (i.e. this data represents a 10 minute sample). The bias voltage of the detector was set to 18V; other settings may be found in the accompanying .dsc files. <strong>Data Analysis</strong> For some example Python code that may be used to analyse this data, please visit the CERN@school GitHub repository linked to below.<br><i>The author would like to thank H. Arney and the Royal Institution of Great Britain for the opportunity to take part in BIG SCIENCE and for access to the notebook. CERN@school was supported by the UK Science and Technology Facilities Council (STFC) via grant numbers ST/J000256/1 and ST/N00101X/1, as well as a Special Award from the Royal Commission for the Exhibition of 1851.</i>

<strong>概览</strong> 本数据集由悬挂于威廉·克鲁克斯（William Crookes）的一本笔记本上方的CERN@school Timepix探测器（CERN@school Timepix detector）采集所得。数据采集工作开展于英国皇家研究院（Royal Institution of Great Britain）——该院将克鲁克斯的笔记本典藏于其档案馆中——作为海伦·阿尼（Helen Arney）于2013年6月18日周二举办的"BIG SCIENCE"活动的组成部分。<strong>实验装置</strong> 请参阅随附照片"ri_crookes_notebook_setup.jpg"以了解探测器与笔记本的布置方式。图中展示的书桌为英国皇家研究院演讲厅的书桌。本数据集采集于"BIG SCIENCE"活动正式开场前，并未作为"QUARKGAZING LIVE"的组成部分。<strong>探测器参数设置</strong> 本次采集共获得600帧图像，单帧采集时长为1秒（即本数据集对应10分钟的采样时长）。探测器的偏置电压设置为18V；其余参数可参见随附的.dsc文件。<strong>数据分析</strong> 如需用于分析本数据集的Python示例代码，请访问下方链接指向的CERN@school GitHub仓库。<br><i>作者谨向H·阿尼与英国皇家研究院致谢，感谢其提供参与"BIG SCIENCE"活动的机会以及使用该笔记本的权限。CERN@school项目得到了英国科学与技术设施委员会（UK Science and Technology Facilities Council, STFC）的资助，资助编号为ST/J000256/1与ST/N00101X/1，同时还获得了1851年博览会皇家委员会的专项奖励。</i>