Removal of correlated background in a high-order harmonic transient absorption spectra with principal component regression

Posted on 13.10.2021 - 13:01
We demonstrate a 40x mean noise power reduction (NPR) in core-to-valence extreme ultraviolet (XUV) femtosecond transient absorption spectroscopy with a high harmonic generation (HHG) light source. An adaptive iteratively reweighted principal component regression (airPCR) technique is used to analyze and suppress spectrally correlated HHG intensity fluctuations. The technique does not require any user input and leads to a higher mean NPR than a previously introduced edge-pixel PCR method that relies on the manual identification of signal-free spectral regions. Both techniques are applied in a time-resolved XUV absorption study of the 2snp ¹P° autoionizing Rydberg states of helium, demonstrating sub-mOD sensitivity.

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Faccialà, Davide; Toulson, Benjamin; Gessner, Oliver (2021): Removal of correlated background in a high-order harmonic transient absorption spectra with principal component regression. Optica Publishing Group. Collection. https://doi.org/10.6084/m9.figshare.c.5592708.v1
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