Title

Identifying Optimal Measurement Subspace For Ensemble Kalman Filter

Abstract

The double pump-probe technique (DPP), first introduced by Swatton et al. [Appl. Phys. Lett.1997, 71, 10], is a variant of the standard pump-probe method but uses two pumps instead of one to create two sets of initial conditions for solving the rate equations, allowing a unique determination of singlet- and triplet-state absorption parameters and transition rates. We investigate the advantages and limitations of the DPP theoretically and experimentally and determine the influence of several experimental parameters on its accuracy. The accuracy with which the DPP determines the triplet-state parameters improves when the fraction of the population in the triplet state relative to the ground state is increased. To simplify the analysis of the DPP, an analytical model is presented, which is applicable to both the reverse saturable and the saturable absorption regimes. We show that the DPP is optimized by working in the saturable absorption regime. Although increased accuracy is in principle achievable by increasing the pump fluence in the reverse saturable absorption range, this can cause photoinduced decomposition in photochemically unstable molecules. Alternatively, we can tune the excitation wavelength to the spectral region of larger ground-state absorption, to achieve similar accuracy. This results in an accurate separation of triplet yield and excited-state absorption cross section. If the cross section at another wavelength is then desired, a second pump-probe experiment at that wavelength can be utilized given the previously measured triplet yield under the usually valid assumption that the triplet yield is independent of excitation wavelength. © 2012 American Chemical Society.

Publication Date

5-24-2012

Publication Title

Electronics Letters

Volume

48

Issue

20

Number of Pages

618-620

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1049/el.2012.0833

Socpus ID

84861641372 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84861641372

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