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Between Theory and Experiment: Model Use in Dark Matter Detection

Jreige, Rami (2024) Between Theory and Experiment: Model Use in Dark Matter Detection. [Preprint]

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Abstract

There is a complex interplay between the models in dark matter detection experiments that have led to a difficulty in interpreting the results of the experiments and ascertain whether we have detected the particle or not. The aim of this paper is to categorise and explore the different models used in said experiments, by emphasizing the distinctions and dependencies among different types of models used in this field. With a background theory, models are categorised into four distinct types: background theory, theoretical, phenomenological, experimental and data. This taxonomy highlights how each model serves a unique purpose and operates under varying degrees of independence from their respective frameworks. A key focus is on the experimental model, which is shown to rely on constraints from both data and phenomenological ones. The article argues that while theoretical models provide a backdrop for understanding the nature of dark matter, the experimental models must stand independently, particularly in their methodological approaches. This is done via a discussion of the inherent challenges in dark matter detection, such as inconsistent results and difficulties in cross-comparison, stemming from the diverse modelling approaches.


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Item Type: Preprint
Creators:
CreatorsEmailORCID
Jreige, Ramirami.jreige@gmail.com0009-0001-8584-9366
Keywords: Scientific Modelling, Philosophy of Cosmology, Philosophy of Science in Practice, Philosophy of Experiment
Subjects: General Issues > Experimentation
General Issues > History of Science Case Studies
General Issues > Models and Idealization
Depositing User: Rami Jreige
Date Deposited: 12 Nov 2024 13:22
Last Modified: 12 Nov 2024 13:22
Item ID: 24202
Subjects: General Issues > Experimentation
General Issues > History of Science Case Studies
General Issues > Models and Idealization
Date: 2024
URI: https://philsci-archive.pitt.edu/id/eprint/24202

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