Allison Reinsvold Hall

发表

Parallelized and Vectorized Tracking Using Kalman Filters with CMS Detector Geometry and Events

Frank Wuerthwein, Boyana Norris, Matevz Tadel, 2018 .

Reconstruction for Liquid Argon TPC Neutrino Detectors Using Parallel Architectures

Boyana Norris, Giuseppe Cerati, Brian Gravelle, 2020 .

Parallelizing the Unpacking and Clustering of Detector Data for Reconstruction of Charged Particle Tracks on Multi-core CPUs and Many-core GPUs

Boyana Norris, Daniel Riley, Avraham Yagil, 2020 .

Reconstruction of Charged Particle Tracks in Realistic Detector Geometry Using a Vectorized and Parallelized Kalman Filter Algorithm

Boyana Norris, Eugene, USA, 2020 .

Speeding up Particle Track Reconstruction using a Parallel Kalman Filter Algorithm

Eugene, Daniel Riley, Leonardo Giannini, 2020 .

Identification of heavy, energetic, hadronically decaying particles using machine-learning techniques

Yi Wang, Andrea Benaglia, Yi Zhang, 2020, Journal of Instrumentation.

Performance of the CMS Level-1 trigger in proton-proton collisions at √s = 13 TeV

Yi Wang, Andrea Benaglia, Ian Watson, 2020 .

Search for high mass dijet resonances with a new background prediction method in proton-proton collisions at $\sqrt{s}=$ 13 TeV

Yi Wang, Andrea Benaglia, Ian Watson, 2020 .

Speeding up Particle Track Reconstruction in the CMS Detector using a Vectorized and Parallelized Kalman Filter Algorithm

Boyana Norris, Steven Lantz, Daniel Riley, 2019, 1906.11744.

A deep neural network to search for new long-lived particles decaying to jets

Yi Wang, Andrea Benaglia, Ian Watson, 2019 .