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Probing Proton Dynamics in Molecules on an Attosecond Time Scale

Baker, S., Robinson, J. S., Haworth, C. A., Teng, H., Smith, R. A., Chirilă, C. C., Lein, M., Tisch, J. W. G., Marangos, J. P.·2006·Science

Abstract

We demonstrate a technique that uses high-order harmonic generation in molecules to probe nuclear dynamics and structural rearrangement on a subfemtosecond time scale. The chirped nature of the electron wavepacket produced by laser ionization in a strong field gives rise to a similar chirp in the photons emitted upon electron-ion recombination. Use of this chirp in the emitted light allows information about nuclear dynamics to be gained with 100-attosecond temporal resolution, from excitation by an 8-femtosecond pulse, in a single laser shot. Measurements on molecular hydrogen and deuterium agreed well with calculations of ultrafast nuclear dynamics in the H 2 + molecule, confirming the validity of the method. We then measured harmonic spectra from CH 4 and CD 4 to demonstrate a few-femtosecond time scale for the onset of proton rearrangement in methane upon ionization.

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Metadata

Authors
Baker, S., Robinson, J. S., Haworth, C. A., Teng, H., Smith, R. A., Chirilă, C. C., Lein, M., Tisch, J. W. G., & Marangos, J. P.
Venue
Science
Published
2006-04-21
Volume
312
Issue
5772
Pages
424-427
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2094177521
Cited by
931
References
1
FWCI
41.24
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Probing Proton Dynamics in Molecules on an Attosecond Time Scale. https://app.cochat.ai/papers/10.1126/science.1123904
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Baker, S., Robinson, J. S., Haworth, C. A., Teng, H., Smith, R. A., Chirilă, C. C., Lein, M., Tisch, J. W. G., & Marangos, J. P. (2006). Probing Proton Dynamics in Molecules on an Attosecond Time Scale. Science. https://doi.org/10.1126/science.1123904

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.