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Combining singular value decomposition and a non-negative constraint in a hybrid method for photothermal depth profiling

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4 Author(s)
Verkruysse, Wim ; Beckman Laser Institute, University of California, Irvine, California 92612 ; Majaron, Boris ; Choi, B. ; Nelson, J.S.

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We present a method to solve the inverse problem in pulsed photothermal radiometry (PPTR) that exploits advantages of truncated singular value decomposition (T-SVD) while imposing a non-negativity constraint to the solution. The presented method is a hybrid in the sense that it expresses the solution vector as a linear superposition of right singular vectors, but with a non-negative constraint applied to it. The weights for the superposition are determined using an optimization algorithm. In one-dimensional PPTR simulation examples, the best reconstruction results are of comparable quality to those of the conjugate gradient method. Furthermore, the hybrid method exhibits a sharper knee in the L-curve and small susceptibility to over-iteration in presence of experimental noise, thus facilitating the regularization process. As a result, the reconstructed temperature profiles are more likely to be closer to the original initial profiles.

Published in:

Review of Scientific Instruments  (Volume:76 ,  Issue: 2 )