Sonification of High Energy Physics Data Using Live Coding and Web Based Interfaces

K. Vasilakos, Scott Wilson, T. McCauley, Tsun Winston Yeung, Emma Margetson, Milad Khosravi Mardakheh
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引用次数: 4

Abstract

This paper presents a discussion of Dark Matter, a sonification project by the Birmingham Ensemble for Electroacoustic Research (BEER), a laptop group using live coding and just-in-time programming techniques, based at the University of Birmingham (UK). The project uses prerecorded data from proton-proton collisions produced by the Large Hadron Collider (LHC) at CERN, Switzerland, and then detected and reconstructed by the Compact Muon Solenoid (CMS) experiment, and was developed with the support of the art@CMS project. Work for the Dark Matter project included the development of a custom-made environment in the SuperCollider (SC) programming language that lets the performers of the group engage in collective improvisations using dynamic interventions and networked music systems. This paper will also provide information about a spin-off project entitled the Interactive Physics Sonification System (IPSOS), an interactive and standalone online application developed in the JavaScript programming language. It provides a web-based interface that allows users to map particle data to sound on commonly used web browsers, and mobile devices, such as smartphones, tablets etc. The project was developed as an educational outreach tool to engage young students and the general public with prerecorded data derived from LHC collisions.
使用实时编码和基于Web的接口的高能物理数据的声音化
本文介绍了暗物质的讨论,这是伯明翰电声研究小组(BEER)的一个声学项目,该小组位于英国伯明翰大学,使用实时编码和即时编程技术。该项目利用瑞士欧洲核子研究中心(CERN)大型强子对撞机(LHC)产生的质子-质子碰撞的预先记录数据,然后通过紧凑介子螺线管(CMS)实验检测和重建,并在art@CMS项目的支持下开发。暗物质项目的工作包括用超级对撞机(SC)编程语言开发一个定制的环境,让小组的表演者使用动态干预和网络音乐系统进行集体即兴表演。本文还将提供一个名为交互式物理声音系统(IPSOS)的衍生项目的信息,这是一个用JavaScript编程语言开发的交互式和独立的在线应用程序。它提供了一个基于网络的界面,允许用户将粒子数据映射到常用的网络浏览器和移动设备(如智能手机、平板电脑等)上的声音。该项目是作为一种教育推广工具开发的,目的是让年轻学生和公众参与到从大型强子对撞机碰撞中获得的预先录制的数据中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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