Diamond Materials

Diamond Materials for Quantum Application

23. September 2014: The DFG research group FOR 1493 “Diamond Materials and Quantum Applications” goes into its second funding period. FOR1493 is a national research consortium funded by the Deutsche Forsch-ungsgemeinschaft.

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ERC Advanced Grant


Wavelet prism decomposition analysis applied to CARS spectroscopy

A tool for accurate and quantitative extraction of resonant vibrational responses

A novel approach based on the wavelet prism decomposition analysis is proposed to correct experimental artefacts in a coherent anti-Stokes Raman scattering (CARS) spectrum. In collaboration with Erik Vartiainen and co-workers of the Lappeenranta University in Finland, Gregor Hehl and Andreas Volkmer demonstrate that this method allows estimating and eliminating a slowly varying modulation error function in the measured normalized CARS spectrum and yields a corrected CARS line-shape. The main advantage of the approach is that any corrections of the spectral phase and amplitude are avoided in the retrieved vibrational line-shape spectrum, thus significantly simplifying the quantitative reconstruction of the sample’s Raman response from a normalized CARS spectrum in the presence of experimental artefacts. Moreover, unlike in conventional error-correction schemes, the method obviates the need for assumptions about the modulation error distribution and the chemical composition of the specimens under study. The method is quantitatively validated on normalized CARS spectra recorded for equimolar aqueous solutions of D-fructose, D-glucose, and their disaccharide combination sucrose. Besides being essential for the realization of quantitative multiplex CARS imaging applications, this method also offers a tool for accurate and quantitative reconstruction of complex material responses probed by other nonlinear optical spectroscopies, such as for the correction of experimental errors in measured third-harmonic generation, sum-frequency generation, and degenerate four-wave mixing power spectra.

Y. Kan, L. Lensu, G. Hehl, A. Volkmer*, and E.M. Vartiainen*, Opt. Express 24 (2016) 11905-11916.
Link (extern): doi: 10.1364/OE.24.011905