We describe a novel reconstruction algorithm for time-resolved images obtained using a streak camera. This algorithm operates by decomposing a recorded image into a set of individual photoelectron-induced signals, thereby providing a powerful method for streak camera image reconstruction. This deconstruction allows for a standard statistical analysis of the resulting image. We demonstrate the effectiveness of this technique by analyzing the temporal spacing between the emitted fs-long laser pulse and its succeeding first, second, and third reflections within a thick glass captured by a streak image.
@article{arxiv.2401.12269,
title = {A decomposition algorithm for streak camera data},
author = {Kaan Oguzhan and Lucas Ranc and Livio Verra and Allen Caldwell},
journal= {arXiv preprint arXiv:2401.12269},
year = {2024}
}