From data to phenomena and back again: computer-simulated signatures.

This paper draws attention to an increasingly common method of using computer simulations to establish evidential standards in physics. By simulating an actual detection procedure on a computer, physicists produce patterns of data ('signatures') that are expected to be observed if a sought-after phe...

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Publicado en:Synthese Vol. 182; no. 1; pp. 117 - 130
Autor principal: Tal, Eran
Formato: Artículo
Publicado: Springer Nature Sep2011
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: From data to phenomena and back again: computer-simulated signatures.
      aug:
        au: Tal, Eran
        affil: Department of Philosophy, University of Toronto, 170 St. George Street (4th Floor) Toronto M5R 2M8 Canada
      su:
        Computer simulation
        Data analysis
        Physics research
        Reliability (Personality trait)
        Inference (Logic)
        Superfluidity
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        subj:
          Computer simulation
          Data analysis
          Physics research
          Reliability (Personality trait)
          Inference (Logic)
          Superfluidity
      keyword:
        Computers
        Experiments
        Methodology
        Models
        Physics
        Simulations
      ab: This paper draws attention to an increasingly common method of using computer simulations to establish evidential standards in physics. By simulating an actual detection procedure on a computer, physicists produce patterns of data ('signatures') that are expected to be observed if a sought-after phenomenon is present. Claims to detect the phenomenon are evaluated by comparing such simulated signatures with actual data. Here I provide a justification for this practice by showing how computer simulations establish the reliability of detection procedures. I argue that this use of computer simulation undermines two fundamental tenets of the Bogen-Woodward account of evidential reasoning. Contrary to Bogen and Woodward's view, computer-simulated signatures rely on 'downward' inferences from phenomena to data. Furthermore, these simulations establish the reliability of experimental setups without physically interacting with the apparatus. I illustrate my claims with a study of the recent detection of the superfluid-to-Mott-insulator phase transition in ultracold atomic gases.
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    language: English
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