Implementation and evaluation of data analysis strategies for time-resolved optical spectroscopy

Area of Science:

• Physics, Chemistry, and Biology
• Ultrafast Optical Spectroscopy
• Chemical Kinetics

Background:

• Time-resolved optical spectroscopy is crucial for understanding fundamental processes.
• Complex time-resolved data requires advanced analysis techniques for information extraction.
• Existing methods like global lifetime and target analysis have limitations.

Purpose of the Study:

• To present implementation strategies and evaluate data analysis techniques for time-resolved optical spectroscopy.
• To focus on Lifetime Distribution Analysis (LDA) for enhanced kinetic information exploration.
• To demonstrate artifact handling strategies for ultrafast optical experimental data.

Main Methods:

• Implementation and evaluation of global lifetime and target analysis.
• Detailed focus on Lifetime Distribution Analysis (LDA) with established regularization procedures.
• Evaluation of factors influencing reliable reconstruction of lifetime distributions.

Main Results:

• Optimal regularization factors for LDA can be determined using L-curve and generalized cross-validation.
• The identity matrix is identified as the most efficient regularization norm for LDA.
• Demonstrated strategies effectively handle artifacts in ultrafast optical experimental data.

Conclusions:

• Lifetime Distribution Analysis (LDA) offers significant depth for exploring kinetic information.
• The presented analytical procedures are readily implementable for diverse time-resolved data analysis.
• This work enhances the utility of time-resolved optical spectroscopy in various scientific fields.