Speaker
Dr
Robert James
(The University of Melbourne)
Description
FlameNEST is a novel approach to statistical inference for liquid xenon time projection chambers that enables the incorporation of higher-dimensional observable spaces and correlated shape-varying nuisance parameters in a computationally efficient manner. It is currently being used for statistical inference and detector calibration fits enabling dark matter searches with the world-leading LUX-ZEPLIN (LZ) experiment, as well as for sensitivity studies towards a next-generation liquid xenon experiment within the XLZD consortium. Here we present the principles behind the framework, and examples of its use for both LZ and XLZD. We highlight future activities for both projects and the role that FlameNEST will play in each.
