Convolutional neural network for retrieval of the time-dependent bond length in a molecule from photoelectron momentum distributions
| Autor: | Shvetsov-Shilovski, N. I., Lein, M. |
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| Rok vydání: | 2023 |
| Předmět: | |
| Druh dokumentu: | Working Paper |
| Popis: | We apply deep learning for retrieval of the time-dependent bond length in the dissociating two-dimensional H$_2^{+}$ molecule using photoelectron momentum distributions. We consider a pump-probe scheme and calculate electron momentum distributions from strong-field ionization by treating the motion of the nuclei classically, semiclassically or quantum mechanically. A convolutional neural network trained on momentum distributions obtained at fixed internuclear distances retrieves the time-varying bond length with an absolute error of $0.2$-$0.3$ a.u. Comment: 12 pages, 3 figures |
| Databáze: | arXiv |
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