A greedy reconstruction algorithm for the identification of spin distribution

Code:
61/2021
Title:
A greedy reconstruction algorithm for the identification of spin distribution
Date:
Monday 27th September 2021
Author(s):
Buchwald, S.; Ciaramella, G.; Salomon, J.; Sugny, D.
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Abstract:
We propose a greedy reconstruction algorithm to find the probability distribution of a parameter characterizing an inhomogeneous spin ensemble in Nuclear Magnetic Resonace. The identification is based on the application of a number of constant control processes during a given time for which the final ensemble magnetization vector is measured. From these experimental data, we show that the identifiability of a piecewise constant approximation of the probability distribution is related to the invertibility of a matrix which depends on the different control protocols applied to the system. The algorithm aims to design specific controls which ensure that this matrix is as far as possible from a singular matrix. Numerical simulations reveal the efficiency of this algorithm on different examples. A systematic comparison with respect to random constant pulses is done.
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