In-situ characterization of few-fs laser pulses by
learning from first-principles calculations
Posted on 2023-01-24 - 21:59
The field of ultrafast spectroscopy is based on lasers being
able to produce pulses that are as short as a few
femtoseconds. Due to their broad bandwidth, these ultrashort
light transients are strongly affected by propagation
through materials. Therefore, a careful characterization
of their temporal profile is required before
any application. We propose a scheme for their
characterization in-situ, ensuring that the pulse parameters
are measured in the region where the interaction
with the sample takes place. Our method is based on
first-principles calculations for strong-field ionization
of rare-gas atoms and autocorrelation. We introduce a
machine-learning algorithm (VSNIC) that uses the results
from the first-principles calculations as input and
reconstructs from a strong-field autocorrelation pattern
for an unknown pulse the pulse length and spectral
width by narrow margins.
CITE THIS COLLECTION
Geffert, Otfried; Kolbasova, Daria; Trabattoni, Andrea; Calegari, Francesca; Santra, Robin (2022): In-situ characterization of few-fs laser pulses by
learning from first-principles calculations. Optica Publishing Group. Collection. https://doi.org/10.6084/m9.figshare.c.6052091
or
Select your citation style and then place your mouse over the citation text to select it.
SHARE
Usage metrics
Read the peer-reviewed publication

AUTHORS (5)
OG
Otfried Geffert
DK
Daria Kolbasova
AT
Andrea Trabattoni
FC
Francesca Calegari
RS
Robin Santra