James, RS;
Palmer, J;
Kaboth, A;
Ghag, C;
Aalbers, J;
(2022)
FlameNEST: explicit profile likelihoods with the Noble Element Simulation Technique.
Journal of Instrumentation
, 17
(8)
, Article P08012. 10.1088/1748-0221/17/08/P08012.
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Abstract
We present FlameNEST, a framework providing explicit likelihood evaluations in noble element particle detectors using data-driven models from the Noble Element Simulation Technique. FlameNEST provides a way to perform statistical analyses on real data with no dependence on large, computationally expensive Monte Carlo simulations by evaluating the likelihood on an event-by-event basis using analytic probability elements convolved together in a single TensorFlow multiplication. Furthermore, this robust framework creates opportunities for simple inter-collaboration analyses which will be fundamental for the future of experimental dark matter physics.
| Type: | Article |
|---|---|
| Title: | FlameNEST: explicit profile likelihoods with the Noble Element Simulation Technique |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1088/1748-0221/17/08/P08012 |
| Publisher version: | http://dx.doi.org/10.1088/1748-0221/17/08/P08012 |
| Language: | English |
| Additional information: | Published by IOP Publishing Ltd on behalf of Sissa Medialab. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. |
| UCL classification: | UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Physics and Astronomy UCL > Provost and Vice Provost Offices > UCL BEAMS UCL |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10156361 |
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