Kavli Affiliate: Mark Hartz
| First 5 Authors: Yoshi Uchida, Mark Hartz, R. Phillip Litchfield, Callum Wilkinson, Asher Kaboth
| Summary:
The presentations, discussions and findings from the inaugural
`PhyStat-$nu$’ workshop held at the Kavli Institute for the Physics and
Mathematics of the Universe (IPMU) near Tokyo in 2016 are described.
PhyStat-$nu$ was the first workshop to focus solely on statistical issues
across the broad range of modern neutrino physics, bringing together physicists
who are active in the analysis of neutrino data with experts in statistics to
explore statistical issues in the field. It is a goal of PhyStat-$nu$ to help
serve the neutrino physics community by providing a forum within which such
statistical issues can be discussed and disseminated broadly.
This paper is adapted from a summary document that was initially circulated
amongst the participants soon after the workshop. Another PhyStat-$nu$
workshop is being held at CERN in January 2019, building on the discussions in
2016.
Advances in experimental neutrino physics in recent years have led to much
larger datasets and more diversity in the properties of neutrinos that are
being investigated. The discussions here raised several areas where improved
statistical errors and more complicated interpretations of the data require
statistical methods to be revisited, as well as topics where broader
discussions between experimentalists, phenomenologists and theorists will
required, which are summarised here. It is important to record the state of the
field as it stands today, as much is expected to change over the coming years,
including the emergence of more inter-collaborational studies and increasing
sophistication in global parameter fitting and model selection methods. The
document is also intended to serve as a reference for pedagogical material for
those who are new to the use of modern statistical techniques to describe
experimental data, as well as those who are well-versed in these techniques and
wish to apply them to new data.
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