Efficient Time Sampling Strategy for TAS

This repository is the official implementation of "Efficient Time Sampling Strategy for Transient Absorption Spectroscopy" by Juhyeon Kim, Joshua Multhaup, Mahima Sneha, Adithya Pediredla (ICCP 2024).

Run simulation

To run simulation, please go to src folder and run following code.

python main_simulation.py expnumber

Expnumber could be one of the followings.

• 3 (or fig3) : Generate plots for figure 3. (comprehensive comparison)
• 4 (or fig4) : Generate plots for figure 4. (using different initial taus)
• 5 (or fig5) : Generate plots for figure 5. (using heteroscedastic noise)
• 6 (or fig6) : Generate plots for figure 6. (using linear curve fitting)

You can find output in result folder. We already included the plots, so please check them.

Real-data

You can find real data in data folder, measured for 4CzIPN. Each folder includes exponential sampling and our proposed sampling (neartautime) method, repeated over 10 times. Also we have code for real data:

python main_real_data.py

Citation

If you find this useful for your research, please consider to cite:

@inproceedings{kim2024efficient,
  title={Efficient Time Sampling Strategy for Transient Absorption Spectroscopy},
  author={Kim, Juhyeon and Multhaup, Joshua and Sneha, Mahima and Pediredla, Adithya},
  booktitle={2024 IEEE International Conference on Computational Photography (ICCP)},
  pages={1--12},
  year={2024},
  organization={IEEE}
}