Resolving vibrations in a polyatomic molecule with femtometer precision via x-ray spectroscopy

Rupprecht, Patrick; Aufleger, Lennart; Heinze, Simon; Magunia, Alexander; Ding, Thomas; Rebholz, Marc; Amberg, Stefano; Mollov, Nikola; Henrich, Felix; Haverkort, Maurits W.; Ott, Christian; Pfeifer, Thomas

doi:10.1103/physreva.108.032816

Cited by 3 publications

(1 citation statement)

References 74 publications

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“…The two noise levels, 1% and 3%, are given as the standard deviation of Gaussian sampled noise. We chose these noise levels based on our experimental observations, for example, detecting absorption changes at a 2% level clearly above a smaller noise level in [35]. For the four-level system, as described in Section 2.1, we use nearly the same architecture as for the two-level system.…”

Section: Training Dataset Propertiesmentioning

confidence: 99%

Electronic Population Reconstruction from Strong-Field-Modified Absorption Spectra with a Convolutional Neural Network

Richter,

Magunia,

Rebholz

et al. 2024

Optics

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We simulate ultrafast electronic transitions in an atom and corresponding absorption line changes with a numerical, few-level model, similar to previous work. In addition, a convolutional neural network (CNN) is employed for the first time to predict electronic state populations based on the simulated modifications of the absorption lines. We utilize a two-level and four-level system, as well as a variety of laser-pulse peak intensities and detunings, to account for different common scenarios of light–matter interaction. As a first step towards the use of CNNs for experimental absorption data in the future, we apply two different noise levels to the simulated input absorption data.

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Section: Training Dataset Propertiesmentioning

confidence: 99%

Electronic Population Reconstruction from Strong-Field-Modified Absorption Spectra with a Convolutional Neural Network

Richter,

Magunia,

Rebholz

et al. 2024

Optics

Self Cite

View full text Add to dashboard Cite

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Local enhancement in transient absorption spectroscopy by gating the resonance in the time domain

He,

Ott,

Pfeifer

et al. 2024

Phys. Rev. Research

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Flexible experimental platform for dispersion-free temporal characterization of ultrashort pulses

Rupprecht,

Magunia,

Aufleger

et al. 2023

Opt. Express

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The precise temporal characterization of laser pulses is crucial for ultrashort applications in biology, chemistry, and physics. Especially in femto- and attosecond science, diverse laser pulse sources in different spectral regimes from the visible to the infrared as well as pulse durations ranging from picoseconds to few femtoseconds are employed. In this article, we present a versatile temporal-characterization apparatus that can access these different temporal and spectral regions in a dispersion-free manner and without phase-matching constraints. The design combines transient-grating and surface third-harmonic-generation frequency-resolved optical gating in one device with optimized alignment capabilities based on a noncollinear geometry.

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Resolving vibrations in a polyatomic molecule with femtometer precision via x-ray spectroscopy

Cited by 3 publications

References 74 publications

Electronic Population Reconstruction from Strong-Field-Modified Absorption Spectra with a Convolutional Neural Network

Electronic Population Reconstruction from Strong-Field-Modified Absorption Spectra with a Convolutional Neural Network

Local enhancement in transient absorption spectroscopy by gating the resonance in the time domain

Flexible experimental platform for dispersion-free temporal characterization of ultrashort pulses

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