A convolutional neural network is used to align an orbital angular momentum sorter in a transmission electron microscope. The method is demonstrated using simulations and experiments. As a result of its accuracy and speed, it offers the possibility of real-time tuning of other electron optical devices and electron beam shaping configurations.

Alignment of electron optical beam shaping elements using a convolutional neural network

Rotunno E
;
Frabboni S;Grillo V
2021

Abstract

A convolutional neural network is used to align an orbital angular momentum sorter in a transmission electron microscope. The method is demonstrated using simulations and experiments. As a result of its accuracy and speed, it offers the possibility of real-time tuning of other electron optical devices and electron beam shaping configurations.
2021
Istituto Nanoscienze - NANO
Istituto Nanoscienze - NANO - Sede Secondaria Modena
Self-Alignment, Convolution neural network, Orbital Angular Momentum Sorter, Beam Shaping
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/398345
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