J. Hardin
Massachusetts Institute of Technology
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Publication
Featured researches published by J. Hardin.
Journal of Instrumentation | 2016
J. R. Stevens; F. Barbosa; Jason Bessuille; E. Chudakov; Roman Dzhygadlo; Cristiano Fanelli; J. Frye; J. Hardin; Jim Kelsey; Maria Patsyuk; Carsten Schwartz; Jochen Schwiening; M.R. Shepherd; Tim Whitlatch; Mike Williams
The GlueX experiment was designed to search for and study the pattern of gluonic excitations in the meson spectrum produced through photoproduction reactions at a new tagged photon beam facility in Hall D at Jefferson Laboratory. The particle identification capabilities of the GlueX experiment will be enhanced by constructing a DIRC (Detection of Internally Reflected Cherenkov light) detector, utilizing components of the decommissioned BaBar DIRC. The DIRC will allow systematic studies of kaon final states that are essential for inferring the quark flavor content of both hybrid and conventional mesons. The design for the GlueX DIRC is presented, including the new expansion volumes that are currently under development.
Journal of Instrumentation | 2015
Baptiste Guegan; J. Hardin; J. R. Stevens; Mateo S. Williams
Model complexity in amplitude analyses is often a priori under-constrained since the underlying theory permits a large number of possible amplitudes to contribute to most physical processes. The use of an overly complex model results in reduced predictive power and worse resolution on unknown parameters of interest. Therefore, it is common to reduce the complexity by removing from consideration some subset of the allowed amplitudes. This paper studies a method for limiting model complexity from the data sample itself through regularization during regression in the context of a multivariate (Dalitz-plot) analysis. The regularization technique applied greatly improves the performance. An outline of how to obtain the significance of a resonance in a multivariate amplitude analysis is also provided.
Journal of Instrumentation | 2016
J. Hardin; Michael L. Williams
FastDIRC is a novel fast Monte Carlo and reconstruction algorithm for DIRC detectors. A DIRC employs rectangular fused-silica bars both as Cherenkov radiators and as light guides. Cherenkov-photon imaging and time-of-propagation information are utilized by a DIRC to identify charged particles. GEANT4-based DIRC Monte Carlo simulations are extremely CPU intensive. The FastDIRC algorithm permits fully simulating a DIRC detector more than 10 000 times faster than using GEANT4. This facilitates designing a DIRC-reconstruction algorithm that improves the Cherenkov-angle resolution of a DIRC detector by ≈ 30% compared to existing algorithms. FastDIRC also greatly reduces the time required to study competing DIRC-detector designs.
arXiv: Nuclear Experiment | 2013
Aleksandrs Aleksejevs; R. White; Y. Qiang; W. I. Levine; F. Close; E. Chudakov; T. Whitlatch; G. J. Lolos; V. Crede; I. Senderovich; N. Jarvis; J. Leckey; P. Mattione; S.T. Krueger; Eric S. Swanson; A. Ponosov; Adam P. Szczepaniak; M.J. Staib; P. Collins; A. Somov; P. Khetarpal; P. Eugenio; O. Soto; R. A. Schumacher; D. Lawrence; F. Klein; S. Somov; E. Wolin; J. Hardin; S. Taylor
Nuclear Instruments & Methods in Physics Research Section A-accelerators Spectrometers Detectors and Associated Equipment | 2017
F. Barbosa; Jason Bessuille; E. Chudakov; R. Dzhygadlo; Cristiano Fanelli; J. Frye; J. Hardin; J. Kelsey; Maria Patsyuk; C. Schwarz; J. Schwiening; J. R. Stevens; M.R. Shepherd; T. Whitlatch; Mark Richard James Williams
Bulletin of the American Physical Society | 2018
C. Fanelli; J. Hardin; Michael L. Williams; Yunjie Yang
Bulletin of the American Physical Society | 2016
J. Hardin; Cristiano Fanelli; Mike Williams