Inverse Problems in Pump–Probe Spectroscopy

Ultrafast pump–probe spectroscopic studies allow for deep insights into the mechanisms and timescales of photophysical and photochemical processes. Extracting valuable information from these studies, such as reactive intermediates’ lifetimes and coherent oscillation frequencies, is an example of the...

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Main Authors: Denis S. Tikhonov, Diksha Garg, Melanie Schnell
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Photochem
Subjects:
Online Access:https://www.mdpi.com/2673-7256/4/1/5
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author Denis S. Tikhonov
Diksha Garg
Melanie Schnell
author_facet Denis S. Tikhonov
Diksha Garg
Melanie Schnell
author_sort Denis S. Tikhonov
collection DOAJ
description Ultrafast pump–probe spectroscopic studies allow for deep insights into the mechanisms and timescales of photophysical and photochemical processes. Extracting valuable information from these studies, such as reactive intermediates’ lifetimes and coherent oscillation frequencies, is an example of the inverse problems of chemical kinetics. This article describes a consistent approach for solving this inverse problem that avoids the common obstacles of simple least-squares fitting that can lead to unreliable results. The presented approach is based on the regularized Markov Chain Monte-Carlo sampling for the strongly nonlinear parameters, allowing for a straightforward solution of the ill-posed nonlinear inverse problem. The software to implement the described fitting routine is introduced and the numerical examples of its application are given. We will also touch on critical experimental parameters, such as the temporal overlap of pulses and cross-correlation time and their connection to the minimal reachable time resolution.
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spelling doaj.art-01885d03d536474ea27c1b6a1716eaa72024-03-27T13:59:58ZengMDPI AGPhotochem2673-72562024-01-01415711010.3390/photochem4010005Inverse Problems in Pump–Probe SpectroscopyDenis S. Tikhonov0Diksha Garg1Melanie Schnell2Deutsches Elektronen-Synchrotron DESY, Notkestr. 85, 22607 Hamburg, GermanyDeutsches Elektronen-Synchrotron DESY, Notkestr. 85, 22607 Hamburg, GermanyDeutsches Elektronen-Synchrotron DESY, Notkestr. 85, 22607 Hamburg, GermanyUltrafast pump–probe spectroscopic studies allow for deep insights into the mechanisms and timescales of photophysical and photochemical processes. Extracting valuable information from these studies, such as reactive intermediates’ lifetimes and coherent oscillation frequencies, is an example of the inverse problems of chemical kinetics. This article describes a consistent approach for solving this inverse problem that avoids the common obstacles of simple least-squares fitting that can lead to unreliable results. The presented approach is based on the regularized Markov Chain Monte-Carlo sampling for the strongly nonlinear parameters, allowing for a straightforward solution of the ill-posed nonlinear inverse problem. The software to implement the described fitting routine is introduced and the numerical examples of its application are given. We will also touch on critical experimental parameters, such as the temporal overlap of pulses and cross-correlation time and their connection to the minimal reachable time resolution.https://www.mdpi.com/2673-7256/4/1/5pump–probe spectroscopyinverse problemsMonte-Carlo sampling
spellingShingle Denis S. Tikhonov
Diksha Garg
Melanie Schnell
Inverse Problems in Pump–Probe Spectroscopy
Photochem
pump–probe spectroscopy
inverse problems
Monte-Carlo sampling
title Inverse Problems in Pump–Probe Spectroscopy
title_full Inverse Problems in Pump–Probe Spectroscopy
title_fullStr Inverse Problems in Pump–Probe Spectroscopy
title_full_unstemmed Inverse Problems in Pump–Probe Spectroscopy
title_short Inverse Problems in Pump–Probe Spectroscopy
title_sort inverse problems in pump probe spectroscopy
topic pump–probe spectroscopy
inverse problems
Monte-Carlo sampling
url https://www.mdpi.com/2673-7256/4/1/5
work_keys_str_mv AT denisstikhonov inverseproblemsinpumpprobespectroscopy
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AT melanieschnell inverseproblemsinpumpprobespectroscopy