Skip to content
DraconiticResearch
Search Sources API
203,234 studies31 sourcesUpdated 34 min ago
PreprintarXiv licencearXiv

HarP: a simulation tool for high-order harmonic generation and propagation in gases

Abstract

Accurately simulating high-order harmonic generation (HHG) for attosecond science requires connecting the microscopic single-atom quantum dynamics and the macroscopic propagation of intense driving laser fields. HarP is an open-source Python code designed to address this multiscale problem. It solves the wave equations for both the driving laser field and the generated harmonics, using precomputed dipole tables for the nonlinear polarization density. This tabulation enables the direct integration of accurate microscopic models while avoiding costly calculations during the propagation. The methodology builds upon the approach of [L'Huillier et al. (1992) PRA 46, 2778] and has already facilitated multiple studies on phase matching, propagation effects and HHG optimization. This paper presents the underlying physical model, its numerical implementation, and comparison against alternative simulation frameworks.

Related

  1. Modular multiscale approach to modelling high-harmonic generation in gases
    Jan Vábek, Tadeáš Němec, Stefan Skupin +1
    Computer Physics CommunicationsPeer-reviewedCC BY 4.0Full textAtomic, molecular & optical physicsOptics & photonicsHAL
  2. Density-gradient effect in high-harmonic generation in gases
    Zoltán Filus, Tímea Grósz, Chinmoy Biswas +6
    arXivPreprintCC BY 4.0Full textAtomic, molecular & optical physicsOptics & photonicsarXiv
  3. Strain-enhanced high-order harmonic generation in boron nitride nanotubes
    Hao Liu, Zishao Wang, Ziwen Wang +1
    Optics ExpressPeer-reviewedLicence not statedOptics & photonicsCrossref
  4. Prominent Dimensional Effects on High-order Harmonic Generation in Strongly Correlated Electron Systems
    Kento Uchida, Shintaro Takayoshi, Yuta Murakami +6
    arXivPreprintarXiv licenceFull textCondensed matterOptics & photonicsarXiv
  5. High-order harmonic generation from an atom in a disordered environment
    Simon His, Camille Lévêque, Jérémie Caillat +2
    The Journal of Chemical PhysicsPeer-reviewedCC BY 4.0Full textPhysical chemistryAtomic, molecular & optical physicsHALarXiv
BibTeX
@misc{pouyez2026harp,
  title = {{HarP: a simulation tool for high-order harmonic generation and propagation in gases}},
  author = {Mattys Pouyez and Dominika Maslarova and Linus Hagedorn and Patrik Jansson and Robin Weissenbilder and Stefanos Carlström and Anne L'Huillier and Tünde Fülöp},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.35440},
  eprint = {2610.35440},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.35440},
}
RIS
TY  - UNPB
TI  - HarP: a simulation tool for high-order harmonic generation and propagation in gases
AU  - Mattys Pouyez
AU  - Dominika Maslarova
AU  - Linus Hagedorn
AU  - Patrik Jansson
AU  - Robin Weissenbilder
AU  - Stefanos Carlström
AU  - Anne L'Huillier
AU  - Tünde Fülöp
PY  - 2026
DA  - 2026/10/26
PB  - arXiv
DO  - 10.48550/arxiv.2610.35440
UR  - https://arxiv.org/abs/2610.35440
AB  - Accurately simulating high-order harmonic generation (HHG) for attosecond science requires connecting the microscopic single-atom quantum dynamics and the macroscopic propagation of intense driving laser fields. HarP is an open-source Python code designed to address this multiscale problem. It solves the wave equations for both the driving laser field and the generated harmonics, using precomputed dipole tables for the nonlinear polarization density. This tabulation enables the direct integration of accurate microscopic models while avoiding costly calculations during the propagation. The methodology builds upon the approach of [L'Huillier et al. (1992) PRA 46, 2778] and has already facilitated multiple studies on phase matching, propagation effects and HHG optimization. This paper presents the underlying physical model, its numerical implementation, and comparison against alternative simulation frameworks.
ER  -