Loading Session...

Model Landscapes and Event Signatures: Using Data to Explore Phenomena Beyond the Standard Model of Elementary Particle Physics

Session Information

The Large Hadron Collider (LHC) at CERN is one of the largest experiments of our time. In the first eight years of operation, LHC has not only discovered the Higgs boson, the last piece of the Standard Model of Elementary Particle Physics (SM), it has also undertaken extensive searches into physics beyond the SM (BSM), both under the guidance of the many existing BSM models and in an exploratory mode employing so-called 'model-independent searches'. The aim of this interdisciplinary symposium is to discuss the philosophical aspects and lessons of BSM searches at LHC. They concern the various roles of models; the understanding of phenomena in particle physics; the experimental strategies that are used, in a theory-laden large experiment, to determine these phenomena and connect them with models; and the different statistical approaches in mastering the parameter space for new physics to dwell in. The symposium puts philosophers in conversation with experimental and theoretical physicists.

03 Nov 2018 01:30 PM - 03:30 PM(America/Los_Angeles)
Venue : Seneca (Fourth Floor Union Street Tower)
20181103T1330 20181103T1530 America/Los_Angeles Model Landscapes and Event Signatures: Using Data to Explore Phenomena Beyond the Standard Model of Elementary Particle Physics

The Large Hadron Collider (LHC) at CERN is one of the largest experiments of our time. In the first eight years of operation, LHC has not only discovered the Higgs boson, the last piece of the Standard Model of Elementary Particle Physics (SM), it has also undertaken extensive searches into physics beyond the SM (BSM), both under the guidance of the many existing BSM models and in an exploratory mode employing so-called 'model-independent searches'. The aim of this interdisciplinary symposium is to discuss the philosophical aspects and lessons of BSM searches at LHC. They concern the various roles of models; the understanding of phenomena in particle physics; the experimental strategies that are used, in a theory-laden large experiment, to determine these phenomena and connect them with models; and the different statistical approaches in mastering the parameter space for new physics to dwell in. The symposium puts philosophers in conversation with experimental and theoretical physicists.

Seneca (Fourth Floor Union Street Tower) PSA2018: The 26th Biennial Meeting of the Philosophy of Science Association office@philsci.org

Presentations

Signature-Based Searches at the LHC: An Experimental Strategy Aiming at Safeness in a Theory-Laden Way

Philosophy of Science 01:30 PM - 02:00 PM (America/Los_Angeles) 2018/11/03 20:30:00 UTC - 2018/11/03 21:00:00 UTC
Pierre-Hugues Beauchemin (Tufts University)
Signature-based model-independent searches for new physics at the LHC seem to correspond to Steinle and Burian's conception of exploratory experiments. They also seem to support Bogen and Woodward's conception of phenomena. This paper however demonstrates that by aiming at safeness, using type-2 error as a criterion, signature-based experimental procedures proceed from strategies necessarily involving some level of theory-ladeness about the targeted-phenomena. Such experimental procedures would therefore better be characterized as Strategy-Driven Experiments, a concept recently developed by Karaca. The analysis of this paper also challenges the possibility that Bogen and Woodward's data-based reasoning generally applies to High Energy Physics experiments.
Presenters
PB
Pierre-Hugues Beauchemin
Tufts University

Model Landscapes and Event Signatures in Elementary Particle Physics

Philosophy of Science 02:00 PM - 02:30 PM (America/Los_Angeles) 2018/11/03 21:00:00 UTC - 2018/11/03 21:30:00 UTC
Peter Mattig (University of Bonn), Michael Stoeltzner (University of South Carolina)
We look at the model landscape of physics beyond the Standard Model, emphasizing the importance of particle signatures for unbiased searches and exploratory experimentation at the LHC. Signatures are the stable end products of a scattering event. We argue that inferring signatures from raw data does not recur to theory, but is based on operational rules and concepts that grew out of previous experimentation. The physicists' picture (Raw Date - Signatures - Models) is interpreted against the backdrop of the classification by Bogen and Woodward (Data - Phenomena - Theory). Signatures are related to models, but such relations are many-to-many.
Presenters
MS
Michael Stöltzner
University Of South Carolina
Co-Authors
PM
Peter Maettig
University Of Bonn

From Supersymmetry to Simplified Models

Philosophy of Science 02:30 PM - 03:00 PM (America/Los_Angeles) 2018/11/03 21:30:00 UTC - 2018/11/03 22:00:00 UTC
Michael Kremer (RWTH Aachen University)
All-encompassing models like supersymmetry have for many years guided the search for physics beyond the Standard Model. However, lack of experimental evidence for supersymmetry at the Large Hadron Collider (LHC) has led to more model-independent approaches to new physics based on "simplified models". Simplified Models provide a framework for understanding the features of LHC signatures using a small number of parameters, without depending on specific characteristics of all-encompassing models. However, do simplified models provide an explanation of what happens in the real world, or are they merely an intermediate step towards an explanation?
Presenters
MK
Michael Krämer
RWTH Aachen University

An Epistemological Function for Systematic Uncertainty in Data to Phenomenon Inferences at the LHC

Philosophy of Science 03:00 PM - 03:30 PM (America/Los_Angeles) 2018/11/03 22:00:00 UTC - 2018/11/03 22:30:00 UTC
Kent Staley (Saint Louis University)
When experimental data in particle physics serve as the basis for inferences regarding phenomena, estimates of statistical and systematic uncertainty play a crucial role in determining the empirical value of those inferences. Physicists share no consensus regarding the methodology that is best employed for calculating systematic uncertainty. A proposed epistemological function of systematic uncertainty regards it as a means of managing theory-dependence of data-to-phenomenon inferences. This paper deploys this function as a constraint that rules out Bayesian methods of calculating systematic uncertainty, as well as other methods that effectively dissolve the distinction between statistical and systematic uncertainty.
Presenters
KS
Kent Staley
Saint Louis University
845 visits

Session Participants

User Online
Session speakers, moderators & attendees
University of South Carolina
RWTH Aachen University
Saint Louis University
Siena College
No attendee has checked-in to this session!
30 attendees saved this session

Session Chat

Live Chat
Chat with participants attending this session

Questions & Answers

Answered
Submit questions for the presenters

Session Polls

Active
Participate in live polls

Need Help?

Technical Issues?

If you're experiencing playback problems, try adjusting the quality or refreshing the page.

Questions for Speakers?

Use the Q&A tab to submit questions that may be addressed in follow-up sessions.