Matthew McEneaney
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View article: Longitudinal Spin Transfer to $Λ$ Hyperons in Semi-Inclusive Deep Inelastic Scattering with CLAS12
Longitudinal Spin Transfer to $Λ$ Hyperons in Semi-Inclusive Deep Inelastic Scattering with CLAS12 Open
The polarization of $Λ$ hyperons is preserved in the angular distribution of their decay products. This property allows one to study the spin structure of the $Λ$. In Semi-Inclusive Deep Inelastic Scattering where a high energy lepton inte…
View article: Improving Λ Signal Extraction with Domain Adaptation via Normalizing Flows
Improving Λ Signal Extraction with Domain Adaptation via Normalizing Flows Open
The present study presents a novel application for normalizing flows for domain adaptation. The study investigates the ability of flow based neural networks to improve signal extraction of $\Lambda$ Hyperons at CLAS12. Normalizing Flows ca…
View article: Improving $Λ$ Signal Extraction with Domain Adaptation via Normalizing Flows
Improving $Λ$ Signal Extraction with Domain Adaptation via Normalizing Flows Open
The present study presents a novel application for normalizing flows for domain adaptation. The study investigates the ability of flow based neural networks to improve signal extraction of $Λ$ Hyperons at CLAS12. Normalizing Flows can help…
View article: Artificial Intelligence for the Electron Ion Collider (AI4EIC)
Artificial Intelligence for the Electron Ion Collider (AI4EIC) Open
View article: Domain-adversarial graph neural networks for Λ hyperon identification with CLAS12
Domain-adversarial graph neural networks for Λ hyperon identification with CLAS12 Open
Machine learning methods and in particular Graph Neural Networks (GNNs) have revolutionized many tasks within the high energy physics community. Particularly in the realm of jet tagging, GNNs and domain adaptation have been especially succ…
View article: Precision studies of QCD in the low energy domain of the EIC
Precision studies of QCD in the low energy domain of the EIC Open
View article: Domain-Adversarial Graph Neural Networks for $Λ$ Hyperon Identification with CLAS12
Domain-Adversarial Graph Neural Networks for $Λ$ Hyperon Identification with CLAS12 Open
Machine learning methods and in particular Graph Neural Networks (GNNs) have revolutionized many tasks within the high energy physics community. We report on the novel use of GNNs and a domain-adversarial training method to identify $Λ$ hy…
View article: Longitudinal Spin Transfer to \(\Lambda \) Hyperons in CLAS12
Longitudinal Spin Transfer to \(\Lambda \) Hyperons in CLAS12 Open
Using the self-analyzing decay of the Λ, the longitudinal spin transfer D LL to the hyperon from a polarized electron beam scattering off an unpolarized proton target can be determined.For Λs produced in the current fragmentation region, t…
View article: Longitudinal Spin Transfer to $Λ$ Hyperons in CLAS12
Longitudinal Spin Transfer to $Λ$ Hyperons in CLAS12 Open
Using the self-analyzing decay of the $Λ$, the longitudinal spin transfer $D_{LL'}$ to the hyperon from a polarized electron beam scattering off an unpolarized proton target can be determined. For $Λ$s produced in the current fragmentation…
View article: Development of Convolutional Neural Nets for Κ/π Differentiation at the GlueX Experiment
Development of Convolutional Neural Nets for Κ/π Differentiation at the GlueX Experiment Open
Lattice Quantum Chromodynamics (QCD) calculations predict a whole spectrum of exotic hybrid mesons thought to arise from gluonic excitation between a quark and antiquark. A systematic survey of strange and non-strange decay modes would be …