Conveners
R3-7 Machine learning in HEP & Novel reconstruction techniques II (PPD) / Apprentissage automatique en PHE et nouvelles techniques de reconstruction II (PPD)
- Eric Drechsler (Simon Fraser University (CA))
In this overview I'll present a selection of recent machine applications to event reconstruction and data analysis across the subfields of experimental particle physics. Strategies for treatment of experimental data and design of machine learning algorithms will be discussed. I will give a personal perspective on potential future particle physics applications of machine learning, including...
DEAP-3600 is a sensitive single-phase liquid-argon detector of non-baryonic dark matter at SNOLAB. WIMP-nucleon scattering is distinguished from electromagnetic events by pulse shape discrimination (PSD) in the argon. Nuclear recoils, which have high ionization density, preferentially excite a singlet argon dimer state which decays via VUV emission in nanoseconds. Electromagnetic events, which...
DEAP-3600 is a low-background, single-phase liquid argon (LAr) direct detection experiment looking for nuclear recoils from WIMP dark matter, operating 2 km underground at SNOLAB (Sudbury, Canada). The detector consists of 3279 kg of LAr contained in a spherical acrylic vessel. LAr is an excellent scintillator, transparent to its own scintillation light. Photomultiplier tubes detect the...
Among the outstanding questions of particle physics, proof of the existence of a magnetic monopole is still one of great interest. Not only would the observation of a magnetically charged particle grant symmetry between electric and magnetic fields in Maxwell’s equations, but it would also explain the quantization of the electric charge. We are searching for TeV-mass magnetic monopoles in the...
