Condensed Matter / Cond-Mat.supr-Con

All posts under category "Condensed Matter / Cond-Mat.supr-Con"

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Super Resolution Convolutional Neural Network for Feature Extraction in   Spectroscopic Data

Super Resolution Convolutional Neural Network for Feature Extraction in Spectroscopic Data

Two dimensional (2D) peak finding is a common practice in data analysis for physics experiments, which is typically achieved by computing the local derivatives. However, this method is inherently unstable when the local landscape is complicated, or the signal-to-noise ratio of the data is low. In th

Image Processing Electrical Engineering and Systems Science Network Data Physics Condensed Matter

< Category Statistics (Total: 5017) >

General Relativity
66
General Research
781
HEP-EX
25
HEP-LAT
7
HEP-PH
79
HEP-TH
67
MATH-PH
79
NUCL-EX
6
NUCL-TH
14
Quantum Physics
67

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