TY - JOUR
T1 - Data analysis in transient electronic spectroscopy–an experimentalist's view
AU - Beckwith, Joseph S.
AU - Rumble, Christopher A.
AU - Vauthey, Eric
N1 - Funding Information:
This research was supported by the Swiss National Science Foundation, Grant Number 200020-184607, and the University of Geneva. Dr Arnulf Rosspeintner, Dr Alexandre Fürstenberg and Dr Bernhard Lang are warmly thanked for discussions and proof-reading. Simulations were done on the Baobab cluster at the University of Geneva.
Publisher Copyright:
© 2020, © 2020 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2020/4/2
Y1 - 2020/4/2
N2 - Time-resolved electronic spectroscopy has grown into a technique that provides hundreds to thousands of electronic spectra with femtosecond time resolution. This enables complex questions to be interrogated, with an obvious cost that the data are more detailed and thus require accurate modelling to be properly reproduced. Analysis of these data comes in a variety of forms, starting with a variety of assumptions about how the data may be decomposed. Here, four different types of analysis commonly used are discussed: band-shape analysis, global kinetic analysis, lifetime distribution models, and soft-modelling. This review provides a ‘user's guide’ to these various methods of data analysis, and attempts to elucidate their successes, domains in which they may be useful, and potential pitfalls in their usage.
AB - Time-resolved electronic spectroscopy has grown into a technique that provides hundreds to thousands of electronic spectra with femtosecond time resolution. This enables complex questions to be interrogated, with an obvious cost that the data are more detailed and thus require accurate modelling to be properly reproduced. Analysis of these data comes in a variety of forms, starting with a variety of assumptions about how the data may be decomposed. Here, four different types of analysis commonly used are discussed: band-shape analysis, global kinetic analysis, lifetime distribution models, and soft-modelling. This review provides a ‘user's guide’ to these various methods of data analysis, and attempts to elucidate their successes, domains in which they may be useful, and potential pitfalls in their usage.
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U2 - 10.1080/0144235X.2020.1757942
DO - 10.1080/0144235X.2020.1757942
M3 - Review article
AN - SCOPUS:85086464965
SN - 0144-235X
VL - 39
SP - 135
EP - 216
JO - International Reviews in Physical Chemistry
JF - International Reviews in Physical Chemistry
IS - 2
ER -