380 citations · 1.2k across the 34 of their papers we have counts for
34 papers
Six Dimensions of Benchmarking Time-Series Databases
Jalal Mostafa, Sandro Melissano, Nicholas Tan Jerome +2
Time-series databases (TSDBs) employ diverse storage architectures optimized for specific workload characteristics, leading to distinct performance profiles and bottlenecks that ar…
Forecasting Source Stability in Scientific Experiments using Temporal Learning Models: A Case Study from Tritium Monitoring
Nicholas Tan Jerome, Nadia Aouadi, Christoph Koehler +2
The Karlsruhe Tritium Neutrino Experiment (KATRIN) aims to measure the absolute neutrino mass with unprecedented sensitivity, requiring precise monitoring of the windowless gaseous…
The Remote Analog to Digital Conversion DAQ System for the TRISTAN Detector Upgrade
Andrew S. Gavin, Matthias Balzer, Suren Chilingaryan +10
The TRISTAN detector is an upgrade to the KATRIN experiment to enable a differential measurement of the tritium -decay spectrum to search for sterile neutrinos with keV masses.…
Microsecond-Latency Feedback at a Particle Accelerator by Online Reinforcement Learning on Hardware
Luca Scomparin, Michele Caselle, Andrea Santamaria Garcia +11
The commissioning and operation of future large-scale scientific experiments will challenge current tuning and control methods. Reinforcement learning (RL) algorithms are a promisi…
Direct neutrino-mass measurement based on 259 days of KATRIN data
M. Aker, D. Batzler, A. Beglarian +146
The fact that neutrinos carry a non-vanishing rest mass is evidence of physics beyond the Standard Model of elementary particles. Their absolute mass bears important relevance from…
BORA: A Personalized Data Display for Large-scale Experiments
Nicholas Tan Jerome, Suren Chilingaryan, Timo Dritschler +1
Given the rapid improvement of the detectors at high-energy physics experiments, the need for real-time data monitoring systems has become imperative. The significance of these sys…