Abstract
Abstract
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.