Data and code for "Energy- and angle resolved spectral phases via semi-relativistic ab-initio RABBITT simulations"

Abstract for paper entitled "Energy- and angle resolved spectral phases via semi-relativistic ab-initio RABBITT simulations":

We simulate the so-called “Rainbow Reconstruction of Attosecond Beating By Interference of Two-photon Transitions” (Rainbow RABBITT) technique with R-Matrix with Time-dependence (RMT) theory for neutral argon. We compute the energy-resolved spectral phase induced by the autoionizing [Ne]3s3p64p 1P resonance with simulations incorporating semi-relativistic atomic descriptions. This allows us to isolate the j = 1/2 and j = 3/2 spin-orbit component contributions to the energy-resolved spectral phase, and compare these against experiment. We analyse changes to the spectral phase resolved in energy and emission angle induced by the autoionizing state.

(1) This is a metadata dataset record. It contains information about the data and code for "Energy- and angle resolved spectral phases via semi-relativistic ab-initio RABBITT simulations" (2023). Follow the gitlab link to access the related code. The gitlab link contains analysis utilities for extracting the novel physics of interest in that paper from simulation output data, and includes one batch of simulation output data corresponding to the main results in the paper. This was made available in gitlab in 2023.

(2) Included also in this record is a DOI for the data repository for this dataset in Zendo. This data was made avilable in October 2022. The Zenodo repository contains the input specifications and code for carrying out the simulations, as well as the intermediary and final output data produced by running the different stages of the simulation. Note that subsequently, the title of the related article changed. So it is originally listed as [dataset for] "Triple-resolution of spectral phases via semi-relativistic ab-initio RABBITT simulations DATA & WORKFLOW". The article later changed to the above captured title. The dataset listed in the DOI is the related data for this paper however.