115 citations · 120 across the 11 of their papers we have counts for
12 papers
Edge Accuracy Is Not Enough: Why Dynamics-Learned Structure Fails to Transfer to Inverse Problems
Nicholas Tan Jerome, Fangnian Wang
A natural strategy for inverse problems with scarce labelled data is to transfer relational structure learned from abundant forward-simulation data. We show this strategy fails sys…
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…
Optimizing Sensor Placement for Hydrogen Leak Detection in Enclosed Infrastructure: A Comparative Study Using CFD-informed Genetic Algorithm and DeepSets Neural Surrogate
Fangnian Wang, Nicholas Tan Jerome, Thomas Jordan +1
Hydrogen infrastructure in enclosed environments, such as parking facilities for fuel cell vehicles, presents significant safety challenges due to hydrogen's low ignition energy an…
When Do Foundation Models Pay Off? A Break-Even Analysis of Pretrained Time Series Forecasters
Nicholas Tan Jerome, Frank Simon
Deploying a time series foundation model requires GPU infrastructure, engineering overhead, and carries no guarantee of improvement over XGBoost. We provide the first systematic br…
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.…
Measurement of the inhomogeneity of the KATRIN tritium source electric potential by high-resolution spectroscopy of conversion electrons from Kr
H. Acharya, M. Aker, D. Batzler +130
Precision spectroscopy of the electron spectrum of the tritium -decay near the kinematic endpoint is a direct method to determine the effective electron antineutrino mass. The K…
First constraints on general neutrino interactions based on KATRIN data
M. Aker, D. Batzler, A. Beglarian +130
The precision measurement of the tritium -decay spectrum performed by the KATRIN experiment provides a unique way to search for general neutrino interactions (GNI). All theoreti…
Measurement of the electric potential and the magnetic field in the shifted analysing plane of the KATRIN experiment
M. Aker, D. Batzler, A. Beglarian +135
The projected sensitivity of the effective electron neutrino-mass measurement with the KATRIN experiment is below 0.3 eV (90 % CL) after five years of data acquisition. The sensiti…
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…
Low-latency Visual Previews of Large Synchrotron Micro-CT Datasets
Nicholas Tan Jerome, Suren Chilingaryan, Thomas van de Kamp +1
The unprecedented rate at which synchrotron radiation facilities are producing micro-computed (micro-CT) datasets has resulted in an overwhelming amount of data that scientists str…