We are pleased to announce that Helen Meskhidze (UC Irvine)
will present at the Philosophy of Contemporary and Future
Science Seminar Series this week. All are welcome to attend.
Details below.
Title: (What) Do we learn from code
comparisons? A case study of self-interacting dark matter
implementations
Date: Thursday, March 23 @ 8:30PM PDT
(Friday, March 24 @ 11:30AM HKT)
Abstract: There has been much interest in
the recent philosophical literature on increasing the
reliability and trustworthiness of computer simulations. One
method used to investigate the reliability of computer
simulations is code comparison. Gueguen, however, has offered
a convincing critique of code comparisons, arguing that they
face a critical tension between the diversity of codes
required for an informative comparison and the similarity
required for the codes to be comparable. In this talk, I will
present the scientific and philosophical results of a recent
collaboration that was designed to address Gueguen's
critiques. Our interdisciplinary team conducted a code
comparison to study two different implementations of
self-interacting dark matter. I first present the results of
the code comparison itself. I then turn to investigating its
methodology and argue that the informativeness of this
particular code comparison was due to its targeted approach
and narrow focus. Its targeted approach (i.e., only the dark
matter modules) allowed for simulation outputs that were
diverse enough for an informative comparison and yet still
comparable. Understanding the comparison as an instance of
eliminative reasoning narrowed the focus: we could investigate
whether code-specific differences in implementation
contributed significantly to the results of self-interacting
dark matter simulations. Based on this case study, I argue
that code comparisons can be conducted in such a way that they
serve as a method for increasing our confidence in computer
simulations being, as Parker defines, adequate-for-purpose.