scholarly journals Spectroscopic and Structural Probing of Excited-State Molecular Dynamics with Time-Resolved Photoelectron Spectroscopy and Ultrafast Electron Diffraction

2020 ◽  
Vol 10 (2) ◽  
Author(s):  
Yusong Liu ◽  
Spencer L. Horton ◽  
Jie Yang ◽  
J. Pedro F. Nunes ◽  
Xiaozhe Shen ◽  
...  
Keyword(s):  
Molecular Dynamics ◽  
Excited State ◽  
Electron Diffraction ◽  
Photoelectron Spectroscopy ◽  
Ultrafast Electron Diffraction ◽  
Time Resolved

Dynamics of excited-state proton transfer systems via time-resolved photoelectron spectroscopy

2001 ◽  
Vol 114 (6) ◽  
pp. 2519-2522 ◽  
Author(s):  
S. Lochbrunner ◽  
T. Schultz ◽  
M. Schmitt ◽  
J. P. Shaffer ◽  
M. Z. Zgierski ◽  
...  
Keyword(s):  
Excited State ◽  
Proton Transfer ◽  
Photoelectron Spectroscopy ◽  
Time Resolved ◽  
Excited State Proton Transfer

Excited-state dynamics of guanosine in aqueous solution revealed by time-resolved photoelectron spectroscopy: experiment and theory

2015 ◽  
Vol 17 (47) ◽  
pp. 31978-31987 ◽  
Author(s):  
Franziska Buchner ◽  
Berit Heggen ◽  
Hans-Hermann Ritze ◽  
Walter Thiel ◽  
Andrea Lübcke
Keyword(s):  
Aqueous Solution ◽  
Excited State ◽  
Photoelectron Spectroscopy ◽  
Relaxation Dynamics ◽  
Time Resolved ◽  
Excited State Dynamics ◽  
Spectroscopy Experiment

Time-resolved photoelectron spectroscopy is performed on aqueous guanosine solution to study its excited-state relaxation dynamics.

scholarly journals Excited state non-adiabatic dynamics of pyrrole: A time-resolved photoelectron spectroscopy and quantum dynamics study

2015 ◽  
Vol 142 (7) ◽  
pp. 074302 ◽  
Author(s):  
Guorong Wu ◽  
Simon P. Neville ◽  
Oliver Schalk ◽  
Taro Sekikawa ◽  
Michael N. R. Ashfold ◽  
...  
Keyword(s):  
Excited State ◽  
Photoelectron Spectroscopy ◽  
Quantum Dynamics ◽  
Time Resolved ◽  
Adiabatic Dynamics

scholarly journals Excited state dynamics of cis,cis-1,3-cyclooctadiene: UV pump VUV probe time-resolved photoelectron spectroscopy

2020 ◽  
Vol 153 (7) ◽  
pp. 074301 ◽  
Author(s):  
Yusong Liu ◽  
Pratip Chakraborty ◽  
Spiridoula Matsika ◽  
Thomas Weinacht
Keyword(s):  
Excited State ◽  
Photoelectron Spectroscopy ◽  
Time Resolved ◽  
Excited State Dynamics

Discerning vibronic molecular dynamics using time-resolved photoelectron spectroscopy

Nature ◽  
10.1038/43410 ◽  
1999 ◽  
Vol 401 (6748) ◽  
pp. 52-54 ◽  
Author(s):  
Valérie Blanchet ◽  
Marek Z. Zgierski ◽  
Tamar Seideman ◽  
Albert Stolow
Keyword(s):  
Molecular Dynamics ◽  
Photoelectron Spectroscopy ◽  
Time Resolved

scholarly journals Excited state non-adiabatic dynamics of N-methylpyrrole: A time-resolved photoelectron spectroscopy and quantum dynamics study

2016 ◽  
Vol 144 (1) ◽  
pp. 014309 ◽  
Author(s):  
Guorong Wu ◽  
Simon P. Neville ◽  
Oliver Schalk ◽  
Taro Sekikawa ◽  
Michael N. R. Ashfold ◽  
...  
Keyword(s):  
Excited State ◽  
Photoelectron Spectroscopy ◽  
Quantum Dynamics ◽  
Time Resolved ◽  
Adiabatic Dynamics

scholarly journals An Open Source, Iterative Dual-Tree Wavelet Background Subtraction Method Extended from Automated Diffraction Pattern Analysis to Optical Spectroscopy

2019 ◽  
Vol 73 (12) ◽  
pp. 1370-1379
Author(s):  
Robert B. Chevalier ◽  
Jason R. Dwyer
Keyword(s):  
Electron Diffraction ◽  
Open Source ◽  
Optical Spectroscopy ◽  
Photoelectron Spectroscopy ◽  
Background Subtraction ◽  
Surface Enhanced Raman Spectroscopy ◽  
Complex Wavelet Transform ◽  
Ultrafast Electron Diffraction ◽  
Subtraction Method ◽  
Diffraction Patterns

Background subtraction is a general problem in spectroscopy often addressed with application-specific techniques, or methods that introduce a variety of implementation barriers such as having to specify peak-free regions of the spectrum. An iterative dual-tree complex wavelet transform-based background subtraction method (DTCWT-IA) was recently developed for the analysis of ultrafast electron diffraction patterns. The method was designed to require minimal user intervention, to support streamlined analysis of many diffraction patterns with complex overlapping peaks and time-varying backgrounds, and is implemented in an open-source computer program. We examined the performance of DTCWT-IA for the analysis of spectra acquired by a range of optical spectroscopies including ultraviolet–visible spectroscopy (UV–Vis), X-ray photoelectron spectroscopy (XPS), and surface-enhanced Raman spectroscopy (SERS). A key benefit of the method is that the user need not specify regions of the spectrum where no peaks are expected to occur. SER spectra were used to investigate the robustness of DTCWT-IA to signal-to-noise levels in the spectrum and to user operation, specifically to two of the algorithm parameter settings: decomposition level and iteration number. The single, general DTCWT-IA implementation performs well in comparison to the different conventional approaches to background subtraction for UV–Vis, XPS, and SERS, while requiring minimal input. The method thus holds the same potential for optical spectroscopy as for ultrafast electron diffraction, namely streamlined analysis of spectra with complex distributions of peaks and varying signal levels, thus supporting real-time spectral analysis or the analysis of data acquired from different sources.

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