Representing Experimental Procedures through Diagrams at CERN’s Large Hadron Collider: The Communicatory Value of Diagrammatic Representations in Collaborative Research

The aim of this paper is to elucidate the use and role of diagrams in the design of present-day high energy physics experiments. To this end, drawing upon a prominent account of diagrammatic representations advanced by the cognitive scientists Jill Larkin and Herbert Simon, I provide an analysis of the diagrammatic representations of the data selection and acquisition procedures presented in the Technical Design Report of the ATLAS experiment at CERN’s Large Hadron Collider, where the Higgs particle was discovered in 2012. Based upon this analysis, I argue that diagrams are more useful than texts in organizing and communicating the procedural information concerning the design of the aforementioned experimental procedures in the ATLAS experiment. Moreover, I point out that by virtue of their representational features, diagrams have a particular communicatory value in the collaborative work of designing the data acquisition system of the ATLAS experiment.

[1]  J. Ellis.  Outstanding questions: physics beyond the Standard Model , 2012, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[2]  G. Aad,et al.  The ATLAS Experiment at the CERN Large Hadron Collide , 2008 .

[3]  Anouk Barberousse,et al.  What Is the Use of Diagrams in Theoretical Modeling? , 2013, Science in Context.

[4]  Rocky Ross,et al.  Mental models , 2004, SIGA.

[5]  David Gooding,et al.  Mapping Experiment as a Learning Process: How the First Electromagnetic Motor Was Invented , 1990 .

[6]  Zenon Kulpa,et al.  DIAGRAMMATIC REPRESENTATION AND REASONING , 1994 .

[7]  J. T. Childers,et al.  Observation of a new particle in the search for the Standard Model Higgs boson with the ATLAS detector at the LHC , 2012 .

[8]  Grady Booch,et al.  Object-Oriented Analysis and Design with Applications , 1990 .

[9]  Brian S. Baigrie,et al.  Picturing Knowledge: Historical and Philosophical Problems Concerning the Use of Art in Science , 1996 .

[10]  A. G. Priest,et al.  On the Use of Diagrams , 1990, AIMSA.

[11]  William Bechtel,et al.  Why Do Biologists Use So Many Diagrams? , 2013, Philosophy of Science.

[12]  The Cms Collaboration.  Observation of a new boson at a mass of 125 GeV with the CMS experiment at the LHC , 2012, 1207.7235.

[13]  John T. Stasko,et al.  Mental Models, Visual Reasoning and Interaction in Information Visualization: A Top-down Perspective , 2010, IEEE Transactions on Visualization and Computer Graphics.

[14]  William R. Shadish,et al.  Psychology of science : contributions to metascience , 1989 .

[15]  Mary Hegarty,et al.  Diagrams in the Mind and in the World: Relations between Internal and External Visualizations , 2004, Diagrams.

[16]  Herbert A. Simon,et al.  Why a Diagram is (Sometimes) Worth Ten Thousand Words , 1987, Cogn. Sci..

[17]  Koray Karaca.  Philosophical reflections on diagram models and diagrammatic representation , 2012, J. Exp. Theor. Artif. Intell..

[18]  Joey F. George,et al.  Modern Systems Analysis and Design , 1996 .

[19]  S. Woolgar,et al.  Representation in Scientific Practice , 1990 .

[20]  W. Goodwin.  How do Structural Formulas Embody the Theory of Organic Chemistry? , 2010, The British Journal for the Philosophy of Science.

[21]  Ingvar Johansson,et al.  5. Knowing How and Knowing That , 2008 .

[22]  G. Ryle.  I.—Knowing How and Knowing that: The Presidential Address , 1946 .

[23]  A. Pickering.  Science as practice and culture , 1992 .

[24]  W. Bechtel,et al.  Explanation: a mechanist alternative. , 2005, Studies in history and philosophy of biological and biomedical sciences.

[25]  Ryan D. Tweney,et al.  Psychology of science: A framework for the cognitive psychology of science , 1989 .

[26]  Laura Perini,et al.  Explanation in Two Dimensions: Diagrams and Biological Explanation , 2005 .

[27]  Ryszard S. Romaniuk,et al.  Observation of a new boson at a mass of 125 GeV with the CMS experiment at the LHC , 2012 .

[28]  Alan F. Blackwell,et al.  Diagrammatic Representation and Inference , 2004, Lecture Notes in Computer Science.

[29]  D. Gooding.  Experiment and the Making of Meaning: Human Agency in Scientific Observation and Experiment , 1990 .

[30]  Michael Scaife,et al.  Cognitive Science Approaches To Understanding Diagrammatic Representations , 2001, Artificial Intelligence Review.

[31]  Arthur I. Miller.  Book-Review - Imagery in Scientific thought - Creating 20TH-CENTURY Physics , 1984 .

[32]  R. Giere.  Cognitive Models of Science , 1992 .

[33]  Koray Karaca.  A case study in experimental exploration: exploratory data selection at the Large Hadron Collider , 2016, Synthese.

[34]  Nancy J. Nersessian,et al.  Creating Scientific Concepts , 2008 .

[35]  Alberto Cambrosio,et al.  Visual cultures of science : rethinking representational practices in knowledge building and science communication , 2005 .

[36]  Yvonne Rogers,et al.  External cognition: how do graphical representations work? , 1996, Int. J. Hum. Comput. Stud..

[37]  Olaf Wolkenhauer,et al.  Diagrams as locality aids for explanation and model construction in cell biology , 2012 .

[38]  Philip N. Johnson-Laird,et al.  Mental Models in Cognitive Science , 1980, Cogn. Sci..