Temperature dependence of the dynamic structure factor of the electron liquid via analytic continuation
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arXiv
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| Format: | Preprint |
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2026
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| author | Chuna, Thomas Böhme, Maximilian P. Dornheim, Tobias |
| author_facet | Chuna, Thomas Böhme, Maximilian P. Dornheim, Tobias |
| contents | We present new analytic continuation results for the dynamic structure factor $S(\mathbf{q},ω)$ of the uniform electron liquid based on quasi-exact \emph{ab initio} path integral Monte Carlo (PIMC) data for the imaginary-time density--density correlation function $F(\mathbf{q},τ)$ across a broad range of temperatures. For this purpose, we employ both a traditional maximum entropy method solver, and a pre-optimized sparse Gaussian kernel representation as it has been implemented in the recent \texttt{PyLIT} package [Benedix Robles \textit{et al.}, \textit{Comp.~Phys.~Comm.}~\textbf{319}, 109904 (2026)], and we identify potential advantages and disadvantages in both. We expect our results to be interesting for a broad range of topics, including the interpretation of x-ray Thomson scattering experiments with extreme states of matter and the construction of improved exchange--correlation kernels for linear-response time-dependent density functional theory. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_27212 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Temperature dependence of the dynamic structure factor of the electron liquid via analytic continuation Chuna, Thomas Böhme, Maximilian P. Dornheim, Tobias Computational Physics Chemical Physics Plasma Physics We present new analytic continuation results for the dynamic structure factor $S(\mathbf{q},ω)$ of the uniform electron liquid based on quasi-exact \emph{ab initio} path integral Monte Carlo (PIMC) data for the imaginary-time density--density correlation function $F(\mathbf{q},τ)$ across a broad range of temperatures. For this purpose, we employ both a traditional maximum entropy method solver, and a pre-optimized sparse Gaussian kernel representation as it has been implemented in the recent \texttt{PyLIT} package [Benedix Robles \textit{et al.}, \textit{Comp.~Phys.~Comm.}~\textbf{319}, 109904 (2026)], and we identify potential advantages and disadvantages in both. We expect our results to be interesting for a broad range of topics, including the interpretation of x-ray Thomson scattering experiments with extreme states of matter and the construction of improved exchange--correlation kernels for linear-response time-dependent density functional theory. |
| title | Temperature dependence of the dynamic structure factor of the electron liquid via analytic continuation |
| topic | Computational Physics Chemical Physics Plasma Physics |
| url | https://arxiv.org/abs/2603.27212 |