Machine learning accelerated likelihood-free event reconstruction in dark matter direct detection

Research output: Contribution to journalArticleScientificpeer-review

U. Simola, B. Pelssers, D. Barge, J. Conrad, J. Corander

Article number in E-publication (not DOI)03004
JournalJournal of Instrumentation
Number of pages28
Publication statusPublished - 6 Mar 2019
MoE publication typeA1 Journal article-refereed

    Research areas

  • Analysis and statistical methods, Dark Matter detectors (WIMPs, axions, etc.), Simulation methods and programs, Time projection Chambers (TPC), APPROXIMATE BAYESIAN COMPUTATION, SEQUENTIAL MONTE-CARLO, PARAMETER, EVOLUTION, INFERENCE
  • 111 Mathematics

External organisations

Pelssers, B.
  • Stockholm University
Barge, D.
  • Stockholm University
Conrad, J.
  • Stockholm University

ID: 123467549