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pro vyhledávání: '"McCann , Michael"'
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
This paper explores the use of score-based diffusion models for Bayesian image reconstruction. Diffusion models are an efficient tool for generative modeling. Diffusion models can also be used for solving image reconstruction problems. We present a s
Externí odkaz:
http://arxiv.org/abs/2305.16482
Autor:
McCann, Michael T., Guardincerri, Elena, Gonzales, Samuel M., Misurek, Lauren A., Schei, Jennifer L., Klasky, Marc L.
We propose a method for performing material identification from radiographs without energy-resolved measurements. Material identification has a wide variety of applications, including in biomedical imaging, nondestructive testing, and security. While
Externí odkaz:
http://arxiv.org/abs/2303.06005
Diffusion models have emerged as the new state-of-the-art generative model with high quality samples, with intriguing properties such as mode coverage and high flexibility. They have also been shown to be effective inverse problem solvers, acting as
Externí odkaz:
http://arxiv.org/abs/2211.10655