Conveners
Thurs PM Plenaries: Plenaries
- Heather Gray (UC Berkeley/LBNL)
- Reda Tafirout (TRIUMF (CA))
The Liquid Argon Time Projection Chamber (LArTPC) technology plays an essential role in many current and future neutrino experiments. Accurate and fast simulation is critical to developing efficient analysis algorithms and precise physics model projections. The speed of simulation becomes more important as Deep Learning algorithms are getting more widely used in LArTPC analysis and their...
The Exa.TrkX project has applied geometric learning concepts such as metric learning and graph neural networks to HEP particle tracking. The Exa.TrkX tracking pipeline clusters detector measurements to form track candidates and selects track candidates with competitive efficiency and purity. The pipeline, originally developed using the TrackML dataset (a simulation of an LHC-like tracking...
We have deployed a central monitoring and logging system based on Prometheus, Loki and Grafana that collects, aggregates and displays metrics and logs from the Tier-2 ScotGrid cluster at Glasgow. Bespoke dashboards built on Prometheus metrics give a quick overview of cluster performance and make it easy to identify issues. Logs from all nodes and services are collected to a central Loki server...
The DUNE experiment will begin running in the late 2020’s. The goals of the experiment include 1) studying neutrino oscillations using a beam of neutrinos from Fermilab in Illinois to the Sanford Underground Research Facility, 2) studying astrophysical neutrino sources and rare processes and 3) understanding the physics of neutrino interactions in matter. The DUNE Far Detector, consisting of...
