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Models, Computer Simulation, and Dark Matter

Session Information

Computer simulations play an ineliminable role in contemporary cosmology. The use of simulations raises basic epistemological questions: how reliable are simulations, given how weakly constrained by observations they are? Given that a particular simulation is adequate with respect to one purpose, how should we evaluate extensions to cover novel problems? To what extent can we trust simulations to generate knowledge? Drawing on recent literature on these issues in philosophy, we will focus on how these questions can be addressed in using simulations to study structure formation and the observational consequences of dark matter. Symposiasts will argue that some techniques developed in other sciences do not apply in cosmology, and will introduce and assess novel ways of determining the reliability of simulations developed by cosmologists.

03 Nov 2018 09:00 AM - 11:45 AM(America/Los_Angeles)
Venue : Capitol Hill (Third Floor)
20181103T0900 20181103T1145 America/Los_Angeles Models, Computer Simulation, and Dark Matter

Computer simulations play an ineliminable role in contemporary cosmology. The use of simulations raises basic epistemological questions: how reliable are simulations, given how weakly constrained by observations they are? Given that a particular simulation is adequate with respect to one purpose, how should we evaluate extensions to cover novel problems? To what extent can we trust simulations to generate knowledge? Drawing on recent literature on these issues in philosophy, we will focus on how these questions can be addressed in using simulations to study structure formation and the observational consequences of dark matter. Symposiasts will argue that some techniques developed in other sciences do not apply in cosmology, and will introduce and assess novel ways of determining the reliability of simulations developed by cosmologists.

Capitol Hill (Third Floor) PSA2018: The 26th Biennial Meeting of the Philosophy of Science Association office@philsci.org

Presentations

Epistemology of N-Body Cosmological Simulations

Philosophy of Science 09:00 AM - 09:30 AM (America/Los_Angeles) 2018/11/03 16:00:00 UTC - 2018/11/03 16:30:00 UTC
Chris Smeenk (Western University), Sarah Gallagher (Western University)
Cosmologists have pursued a variety of strategies to assess the reliability of N-body simulations. We will focus on the viability of robustness analysis (Weisberg 2006). We argue that robustness analysis alone is not sufficient to establish reliability (following Parker 2011). A set of simulations may robustly share certain qualitative features because they have all been "tweaked" to yield the same results, rather than due to some underlying common structure. We will consider the conditions that would have to obtain over an ensemble of models to counter this worry, and argue that these conditions would be difficult to achieve.
Presenters
CS
Chris Smeenk
Western University
Co-Authors
SG
Sarah Gallagher
Western University

Numerical Artefacts in N-Body Simulations of Dark Matter Structure

Philosophy of Science 09:30 AM - 10:00 AM (America/Los_Angeles) 2018/11/03 16:30:00 UTC - 2018/11/03 17:00:00 UTC
Frank van den Bosch (Yale University)
Numerical N-body simulations have become a prime tool in modern astrophysics, and are the go-to method to study the formation and evolution of dark matter halos. I will show that such simulations are subject to a number of artefacts that are a serious roadblock for much of our current and future science goals.
Presenters Frank Van Den Bosch
Yale University

Alternatives to Robustness

Philosophy of Science 10:15 AM - 10:45 AM (America/Los_Angeles) 2018/11/03 17:15:00 UTC - 2018/11/03 17:45:00 UTC
Marie Gueguen (University of Western Ontario)
Simulations are a crucial part of evaluating the standard cosmological model. Understanding in which case a simulation can succeed in (dis)confirming a model is, however, still a challenge. When simulations do not match observations, it is not clear how to determine whether the discrepancy stems from numerical artifacts or constitutes a genuine failed prediction. In this talk, I evaluate the merits and pitfalls of robustness analysis and suggest an alternative to this way of assessing the reliability of simulations. By doing so, I aim to formalize and generalize the methodology developed by cosmologists themselves against numerical artifacts.
Presenters
MG
Marie Gueguen
Rotman Institute Of Philosophy, University Of Western Ontario

Can machine learning provide understanding?: How cosmologists use machine learning to explain observations of the universe

Philosophy of Science 10:45 AM - 11:15 AM (America/Los_Angeles) 2018/11/03 17:45:00 UTC - 2018/11/03 18:15:00 UTC
Helen Meskhidze (University of California, Irvine)
The increasing precision of cosmological observations of the large-scale structure of the universe has created a problem for simulators: running the N-body simulations necessary to interpret these observations has become impractical. Simulators have thus turned to machine learning (ML) algorithms instead. Though ML decreases computational expense, one might be worried about the use of ML for scientific investigations: How can algorithms that have repeatedly been described as black-boxes deliver scientific understanding? In this talk, I investigate how cosmologists employ ML, arguing that in this context, ML algorithms should not be considered black-boxes and can deliver genuine scientific understanding. 
Presenters
HM
Helen Meskhidze
Department Of Logic And Philosophy Of Science, University Of California, Irvine

Observing Dark Matter Through Computer Simulations

Philosophy of Science 11:15 AM - 11:45 AM (America/Los_Angeles) 2018/11/03 18:15:00 UTC - 2018/11/03 18:45:00 UTC
Melissa Jacquart (University of Cincinnati)
Collaboration between astronomers and philosophers attempts to search for the universe's dark matter, investigating the hypothesis that some of it resides in dark matter galaxies. I address questions related to epistemic warrant: how do astrophysicists blend observation, simulation, and theorizing to warrant inferences about such objects? I focus on the role computer simulations play in astrophysical inferences to provide an argument for how chains of epistemic warrant work and contribute evidence in our dark galaxy hunt. This case provides insight into understanding how computer simulations add to observations, and justify conclusions about the nature and behavior of objects in theories.
Presenters
MJ
Melissa Jacquart
University Of Cincinnati
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Western University
Rotman Institute of Philosophy, University of Western Ontario
Department of Logic and Philosophy of Science, University of California, Irvine
University of Cincinnati
Saint Louis University
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