Research
On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,742 papers · 148 categories

Trend · papers per month

count% of corpus
0111 · Sep 201519922001200920172026
2 results for “high-pileup”
MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networksphysics.data-an

MLPF uses graph neural networks to improve particle-flow reconstruction in high-pileup conditions.

problem Improving particle-flow reconstruction in high-pileup conditions at high-luminosity LHC.
method End-to-end trainable machine-learned particle-flow algorithm based on graph neural networks.
result MLPF improves physics response and demonstrates scalable reconstruction in high-pileup environments.
particle-flow reconstructiongraph neural networkshigh-luminosity LHCmachine learninghigh-pileup
2021-01-21abs ↗pdf ↗
Fuzzy Jetshep-ph

Collimated streams of particles produced in high energy physics experiments are organized using clustering algorithms to form jets. To construct jets, the experimental collaborations based at the Large Hadron Collider (LHC) primarily use agglomerative hierarchical clustering schemes known as sequential recombination. W…

2015-09-07abs ↗pdf ↗