L. O. Gerlach
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View article: Rapid Inference of Logic Gate Neural Networks for Anomaly Detection in High Energy Physics
Rapid Inference of Logic Gate Neural Networks for Anomaly Detection in High Energy Physics Open
The increasing data rates and complexity of detectors at the Large Hadron Collider (LHC) necessitate fast and efficient machine learning models, particularly for rapid selection of what data to store, known as triggering. Building on recen…
View article: Evaluation of Novel Fast Machine Learning Algorithms for Knowledge-Distillation-Based Anomaly Detection at CMS
Evaluation of Novel Fast Machine Learning Algorithms for Knowledge-Distillation-Based Anomaly Detection at CMS Open
The CICADA (Calorimeter Image Convolutional Anomaly Detection Algorithm) project aims to detect anomalous physics signatures without bias from theoretical models in proton-proton collisions at the Compact Muon Solenoid (CMS) experiment at …
View article: WARP-LUTs -- Walsh-Assisted Relaxation for Probabilistic Look Up Tables
WARP-LUTs -- Walsh-Assisted Relaxation for Probabilistic Look Up Tables Open
Fast and efficient machine learning is of growing interest to the scientific community and has spurred significant research into novel model architectures and hardware-aware design. Recent hard? and software co-design approaches have demon…
View article: Peripheral Instinct: How External Devices Breach Browser Sandboxes
Peripheral Instinct: How External Devices Breach Browser Sandboxes Open
View article: Waveform resampling with LMN method
Waveform resampling with LMN method Open
Resampling is a common technique applied in digital signal processing. Based on the Fast Fourier Transformation (FFT), we apply an optimization called here the LMN method to achieve fast and robust re-sampling. In addition to performance c…
View article: The HSF Conditions Database Reference Implementation
The HSF Conditions Database Reference Implementation Open
Conditions data is the subset of non-event data that is necessary to process event data. It poses a unique set of challenges, namely a heterogeneous structure and high access rates by distributed computing. The HSF Conditions Databases act…
View article: The HSF Conditions Database Reference Implementation
The HSF Conditions Database Reference Implementation Open
Conditions data is the subset of non-event data that is necessary to process event data. It poses a unique set of challenges, namely a heterogeneous structure and high access rates by distributed computing. The HSF Conditions Databases act…
View article: DUNE Database Development
DUNE Database Development Open
The DUNE experiment will produce vast amounts of metadata, which describe the data coming from the read-out of the primary DUNE detectors. Various databases will make up the overall DB architecture for this metadata. ProtoDUNE at CERN is t…