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pro vyhledávání: '"McCann , Michael"'
Reconstructing 3D cone beam computed tomography (CBCT) images from a limited set of projections is an important inverse problem in many imaging applications from medicine to inertial confinement fusion (ICF). The performance of traditional methods su
Externí odkaz:
http://arxiv.org/abs/2410.10836
Autor:
Schulze-Oechtering, Michael
Publikováno v:
Alon: Journal for Filipinx American and Diasporic Studies, 2021 Nov 01. 1(3), 371-373.
Externí odkaz:
https://www.jstor.org/stable/48644351
Autor:
Hanley, Brian
Publikováno v:
History Ireland, 2019 Jul 01. 27(4), 67-68.
Externí odkaz:
https://www.jstor.org/stable/26853099
In this paper, we introduce silhouette tomography, a novel formulation of X-ray computed tomography that relies only on the geometry of the imaging system. We formulate silhouette tomography mathematically and provide a simple method for obtaining a
Externí odkaz:
http://arxiv.org/abs/2402.07298
Autor:
Gan, Weijie, Zhai, Qiuchen, McCann, Michael Thompson, Cardona, Cristina Garcia, Kamilov, Ulugbek S., Wohlberg, Brendt
Ptychography is an imaging technique that captures multiple overlapping snapshots of a sample, illuminated coherently by a moving localized probe. The image recovery from ptychographic data is generally achieved via an iterative algorithm that solves
Externí odkaz:
http://arxiv.org/abs/2310.07504
Autor:
Marshall, Alexander Mclean, McCann, Michael Andrew, Patel, Mitesh, Petridis, Konstantinos A., Reboud, Méril, van Dyk, Danny
Publikováno v:
Phys. Rev. D 109, 116013 (2024)
We present a method that maximises the experimental sensitivity to new physics contributions in $B^\pm\to\pi^\pm\mu^+\mu^-$ decays. This method relies on performing an unbinned maximum likelihood fit to both the measured dimuon $q^2$ distribution of
Externí odkaz:
http://arxiv.org/abs/2310.06734