Brendan O’Shea
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View article: Design Initiative for a 10 TeV pCM Wakefield Collider
Design Initiative for a 10 TeV pCM Wakefield Collider Open
This document outlines a community-driven Design Study for a 10 TeV pCM Wakefield Accelerator Collider. The 2020 ESPP Report emphasized the need for Advanced Accelerator R\&D, and the 2023 P5 Report calls for the ``delivery of an end-to-en…
View article: 3D Integrated Sensing Solutions
3D Integrated Sensing Solutions Open
We will present the proposed research project to develop 3D-integrated sensors using advanced manufacturing capability for novel sensors, heterogeneously integrated with energy efficient readout circuits. The lack of precision timing in pa…
View article: A gaseous RICH detector for SiD or ILD
A gaseous RICH detector for SiD or ILD Open
This paper describes a preliminary study of a gaseous Ring Imaging Cherenkov (RICH) system capable of discriminating between kaons and pions at high momenta -- up to 50 GeV/c -- and thus enhancing particle identification at future collider…
View article: XCC: an X-ray FEL-based γγ Compton collider Higgs factory
XCC: an X-ray FEL-based γγ Compton collider Higgs factory Open
This report describes the conceptual design of a γγ Higgs factory in which 62.8 GeV electron beams collide with 1 keV X-ray free electron laser (XFEL) beams to produce colliding beams of 62.5 GeV photons. The Higgs boson production rate is…
View article: XCC: An X-ray FEL-based $γγ$ Compton Collider Higgs Factory
XCC: An X-ray FEL-based $γγ$ Compton Collider Higgs Factory Open
This report describes the conceptual design of a $γγ$ Higgs factory in which 62.8 GeV electron beams collide with 1 keV X-ray free electron laser (XFEL) beams to produce colliding beams of 62.5 GeV photons. The Higgs boson production rate …
View article: Novel light field imaging device with enhanced light collection for cold atom clouds
Novel light field imaging device with enhanced light collection for cold atom clouds Open
We present a light field imaging system that captures multiple views of an object with a single shot. The system is designed to maximize the total light collection by accepting a larger solid angle of light than a conventional lens with eq…
View article: Novel Light Field Imaging Device with Enhanced Light Collection for Cold\n Atom Clouds
Novel Light Field Imaging Device with Enhanced Light Collection for Cold\n Atom Clouds Open
We present a light field imaging system that captures multiple views of an object with a single shot. The system is designed to maximize the total light collection by accepting a larger solid angle of light than a conventional lens with eq…
View article: 4-Dimensional Trackers
4-Dimensional Trackers Open
4-dimensional (4D) trackers with ultra fast timing (10-30 ps) and very fine spatial resolution (O(few $μ$m)) represent a new avenue in the development of silicon trackers, enabling new physics capabilities beyond the reach of the existing …
View article: Strategy for Understanding the Higgs Physics: The Cool Copper Collider
Strategy for Understanding the Higgs Physics: The Cool Copper Collider Open
A program to build a lepton-collider Higgs factory, to precisely measure the couplings of the Higgs boson to other particles, followed by a higher energy run to establish the Higgs self-coupling and expand the new physics reach, is widely …
View article: Strange quark as a probe for new physics in the Higgs sector
Strange quark as a probe for new physics in the Higgs sector Open
This paper describes a novel algorithm for tagging jets originating from the hadronisation of strange quarks (strange-tagging) with the future International Large Detector (ILD) at the International Linear Collider (ILC). It also presents …
View article: C$^3$: A "Cool" Route to the Higgs Boson and Beyond
C$^3$: A "Cool" Route to the Higgs Boson and Beyond Open
We present a proposal for a cold copper distributed coupling accelerator that can provide a rapid route to precision Higgs physics with a compact 8 km footprint. This proposal is based on recent advances that increase the efficiency and op…
View article: ALTIROC1, a 25 pico-second time resolution ASIC for the ATLAS High Granularity Timing Detector (HGTD)
ALTIROC1, a 25 pico-second time resolution ASIC for the ATLAS High Granularity Timing Detector (HGTD) Open
International audience
View article: A High Granularity Timing Detector for the Phase-2 Upgrade of the ATLAS Experiment: Detector concept, R&D, and first test beam results
A High Granularity Timing Detector for the Phase-2 Upgrade of the ATLAS Experiment: Detector concept, R&D, and first test beam results Open
The expected increase of the particle flux at the high luminosity phase of the LHC (HL-LHC) with instantaneous luminosities up to $L =7.5 \\times 10^{34} cm^{-2} s^{-1}$ will have a severe impact on the ATLAS detector performance. The pile…
View article: Searches for non-Standard Model decays to two light bosons of the Higgs boson
Searches for non-Standard Model decays to two light bosons of the Higgs boson Open
Theories beyond the Standard Model predict Higgs boson decays that do not exist in the Standard Model, such as decays into two light bosons ($a$). This talk presents recent results based on pp collision data collected at 13 TeV with the AT…
View article: Weakly Supervised Classification For High Energy Physics
Weakly Supervised Classification For High Energy Physics Open
We present a classification algorithm that applies the machine learning paradigm of Learning from Label Proportions (LLP) [1] to enable learning on unlabelled data. Our algorithm, Weakly Supervised Classification, receives as its only inpu…
View article: Machine Learning in High Energy Physics Community White Paper
Machine Learning in High Energy Physics Community White Paper Open
Machine learning is an important applied research area in particle physics, beginning with applications to high-level physics analysis in the 1990s and 2000s, followed by an explosion of applications in particle and event identification an…
View article: Machine Learning in High Energy Physics Community White Paper
Machine Learning in High Energy Physics Community White Paper Open
Machine learning has been applied to several problems in particle physics research, beginning with applications to high-level physics analysis in the 1990s and 2000s, followed by an explosion of applications in particle and event identific…
View article: Image Processing, Computer Vision, and Deep Learning: new approaches to the analysis and physics interpretation of LHC events
Image Processing, Computer Vision, and Deep Learning: new approaches to the analysis and physics interpretation of LHC events Open
This review introduces recent developments in the application of image processing, computer vision, and deep neural networks to the analysis and interpretation of particle collision events at the Large Hadron Collider (LHC). The link betwe…
View article: Fuzzy jets
Fuzzy jets Open
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 …
View article: Boosted Jet Tagging with Jet-Images and Deep Neural Networks
Boosted Jet Tagging with Jet-Images and Deep Neural Networks Open
\nBuilding on the jet-image based representation of high energy jets, we develop computer vision based techniques for jet tagging through the use of deep neural networks. Jet-images enabled the connection between jet substructure and taggi…