KiMoPack

KiMoPack performs kinetic modeling and global and target analysis of two-dimensional transient spectroscopic data to extract kinetic parameters and spectral components.

Key Features:

• Python implementation: Implemented as a Python package for programmatic kinetic data analysis.
• Data preprocessing and standard fitting: Provides preprocessing routines and global analysis techniques for standard fitting of spectroscopic datasets.
• Complex (target) kinetic model fitting: Supports fitting of complex target kinetic models to transient spectroscopic data.
• Multiexperiment analysis: Enables comparative analysis across multiple experiments and datasets.
• Integrated 2D data processing and plotting: Combines preprocessing, fitting, and plotting for two-dimensional transient spectroscopic data.

Scientific Applications:

• Chemical kinetics: Modeling and analysis of reaction mechanisms and kinetic rate constants from transient spectroscopy.
• Biophysical studies: Investigation of dynamic processes in biological systems using time-resolved spectroscopic measurements.
• Materials science: Analysis of transient phenomena and excited-state dynamics in novel materials.

Methodology:

Computational steps explicitly include preprocessing of spectroscopic datasets, global (standard) fitting, fitting of target kinetic models, multiexperiment analysis, and plotting of two-dimensional transient data.