We have upgraded to Indico v2 . The upgrade was done May 23/2021! Please verify that you are able to log into your event without difficulty. Contact: conferences@triumf.ca to report any issues.
31 October 2018 to 4 November 2018
UBC Robson Square
America/Vancouver timezone

DUNE Analysis Methods and Systematic Uncertainties

2 Nov 2018, 14:30
Theatre (Room C300) (UBC Robson Square)

Theatre (Room C300)

UBC Robson Square

800 Robson St, Vancouver, BC V6Z 3B7


Dr Christopher Backhouse (University College London)


The twin challenges facing the DUNE long-baseline analysis are to extract the maximum statistical power from the Far Detector data while minimizing the impact of systematic uncertainties. The liquid argon TPCs that make up the DUNE Far Detector will provide outstanding spatial resolution, and should allow neutrino flavours to be separated with high efficiency and purity. However, taking full advantage of this information requires improvements in the state-of-the-art in pattern recognition and particle identification. I will describe our reconstruction algorithms, and the various deep-learning techniques we are employing in pursuit of this goal. With the large datasets expected, the second challenge, to minimize systematic uncertainties grows in importance. I will discuss our main sources of uncertainty, how we plan to evaluate their impact, and the ways in which the analysis procedures are intended to mitigate them.

Primary author

Dr Christopher Backhouse (University College London)

Presentation Materials