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Optica, Optics Express, 22(29), p. 35135, 2021

DOI: 10.1364/oe.435008

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

Journal article published in 2021 by Davide Faccialà ORCID, Benjamin W. Toulson, Oliver Gessner
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

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) is used to analyze and suppress spectrally correlated HHG intensity fluctuations. The technique requires significantly less 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 o (n ≥ 2) autoionizing Rydberg states of helium, demonstrating sub-10−3 optical density sensitivity.