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Data · dataset · 2025

Generation of Picosecond Ion Pulses Using Laser-Stimulated Desorption from a Tungsten Nanotip - Dataset

Listed in TU Wien Research Data

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Dataset Description This data repository provides the underlying data and plotting routines associated with the manuscript titled "Generation of Picosecond Ion Pulses Using Laser-Stimulated Desorption from a Tungsten Nanotip" by Redl et al., published in Physical Review Research (2025). DOI: doi.org/10.1103/7wdx-97pf In the manuscript, we demonstrate a compact experimental method for generating sub-100 ps ion pulses at 4.5–8.5 keV using laser-stimulated desorption from room-temperature tungsten nanotips.

Femtosecond UV pulses ionize adsorbed atoms and molecules within the naturally nanoscale field-enhanced region at the tip apex, enabling efficient ion production at moderate fluence. Time-of-flight measurements show stable, well-timed pulses, and we systematically map their dependence on laser settings and gas loading conditions. This simple source design supports time-resolved ion–solid interaction experiments and opens the door to future pump–probe studies.

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All data files are released under the Creative Commons Attribution 4.0 International (CC-BY) license, while all code files are distributed under the MIT license. Dataset Layout Analysis.py - script for parse data files and basic analysis functionality Paper.py - script for pretty plottin plot_laser.py - plotting script for Fig.2 plot_pressure.py - plotting script for Fig.3 plot_voltage.py - plotting script for Fig.4 simulation - folder for simulation output style - folder for plot styles plots - output folder of plotting scripts data - folder with all generated experimental data Uncommon data Types .cod2 - binned histogram data in ascii-format .lmftxt - individual MCP events in ascii-format .lmf - individual MCP events in byte-format Script Requirements Scripts were run using Python 3.13.1 on Windows with following packages installed numpy (2.3.5) matplotlib (3.10.7) scipy (1.16.3)

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Inferred from text
Simulation 75%
Provenance · 1 source records, 11 field assertions
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TU Wien Research Data71sdw-ezf5512 d agoJSON v1
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