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Event Reconstruction
In order to translate the raw data read out from the various ATLAS subsystems described in Sect. 3.2...
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Object Reconstruction
Each recorded event undergoes offline event reconstruction. The output information from all sub-detectors is combined to form basic quantities such...
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Fast image reconstruction network in image stitching
Compared with the traditional feature-based image stitching algorithm, the free-view image stitching algorithm based on deep learning has the...
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Iterative reconstruction algorithms in neutron tomography imaging
For the nondestructive assessment of heavy industrial components and soft hydrogenous materials encased in heavy metals, which are typically...
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Event Reconstruction
NOvA utilizes multiple algorithms and techniques to make sense of the blips of light seen in the detectors. First, low-level reconstruction is...
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Muon Trajectory Reconstruction in the Cathode-Strip Chambers of the CMS Experiment
AbstractCathode-strip chambers (CSCs) are the main detectors of the endcap muon system of the CMS experiment. The increase in the energy and...
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Non-Hermitian reconstruction of photonic hierarchical topological states
Higher-order topological phases featured by hierarchical topological states (HTSs) have spawned a paradigm for develo** robust multidimensional...
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Fluorescence molecular tomographic image reconstruction based on the wavelet-Schur decomposition
In image reconstruction for fluorescence molecular tomography (FMT), solving matrix equations of large scale can result in high computational costs....
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Bulk reconstruction in flat holography
In this note, we discuss the bulk reconstruction of massless free fields in flat space from the highest-weight representation of boundary Carrollian...
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Essentials of Algebraic Reconstruction in Cone-Beam Computed Tomography
Abstract —ART (algebraic reconstruction technique) in computed tomography (CT) and, in particular, the reconstruction under a limited number of...
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Reconstruction performance for image transmission through multimode fibers
Due to the applications in the fields of optical communication, neuronal imaging, and medical endoscopic imaging, the study of multimode fiber (MMF)...
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Event Reconstruction for Neutrino Telescopes
Neutrino telescopes, such as IceCube or KM3NeT, consist of thousands of photo sensors distributed over cubic kilometer volumes. The Cherenkov light...
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Machine Learning for Reconstruction of Polarity Inversion Lines from Solar Filaments
Solar filaments are well-known tracers of polarity inversion lines that separate two opposite magnetic polarities on the solar photosphere. Because...
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Development of the Vector Finder Toolkit for Track Reconstruction in the BM@N Experiment
AbstractA method for track reconstruction in the BM@N experiment, based on a constrained combinatorial search for track candidates, i.e. combinations...
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Reconstruction of Physics Objects
To convert the raw detector information into physics objects that can be used in an analysis, dedicated reconstruction and identification algorithms...
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Convex Optimization for Image Reconstruction
Convex optimization is a particular class of mathematical tool in decision sciences and in analyzing physical systems for finding a point that...
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Electrical capacitance tomography image reconstruction based on iterative Tikhonov regularization improved algorithm
Aiming at the problems of low reconstruction quality, poor robustness, and the inability to quickly and stably converge caused by the ill-posedness...
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Superresolution structured illumination microscopy reconstruction algorithms: a review
Structured illumination microscopy (SIM) has become the standard for next-generation wide-field microscopy, offering ultrahigh imaging speed,...
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Black hole interior Petz map reconstruction and Papadodimas-Raju proposal
We study the reconstruction of the bulk operators in AdS/CFT when the geometry contains a black hole. The black hole exterior can be mapped to the...