Hannover 2016 – scientific programme
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MO: Fachverband Molekülphysik
MO 15: Femtosecond Spectroscopy 3
MO 15.5: Talk
Thursday, March 3, 2016, 12:15–12:30, f102
Optimizing sparse sampling patterns for 2D electronic spectroscopy using an evolutionary algorithm — •Sebastian Roeding1, Nikita Klimovich1,2, and Tobias Brixner1 — 1Institut für Physikalische und Theoretische Chemie, Universität Würzburg, Am Hubland, 97074 Würzburg — 2Department of Physics, The University of Texas at Austin, Austin, Texas 78712, USA
Recent implementations of coherent two-dimensional (2D) electronic spectroscopy have shown that this technique is not limited to samples in solution. By detecting emitted photoelectrons from a surface [1] or as a photocurrent in a semiconductor nanostructure [2] it became possible to acquire 2D spectra of various types of samples. However, these time-domain experiments suffer from the vast amount of acquisition steps necessary.
We use the paradigm of compressed sensing [3] to reduce the density of sampling points. We employ an evolutionary algorithm to find the best sampling matrix for a data set at a given population time and show how this matrix can be used to measure the same sample at other population times. Furthermore, we discuss the possibility to represent the data on a periodic von Neumann lattice [4] which will be a transform domain with increased sparsity and should further improve signal reconstruction.
[1]Aeschlimann et al., Science 333, 6050 (2011)
[2]Nardin et al., Opt. Express 21, 28617 (2013)
[3]Donoho, IEEE Trans. Inf. Theory 52 (4), 1289 (2006)
[4]Dimler et al., New J. Phys. 11, 105052 (2009)