REVIEW 2 cited by
First-principles analysis of the warm dense plasma jets in Double-Cone Ignition experiments
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
Signed reviews
abstract
Double-Cone Ignition (DCI) differs from the traditional laser-driven inertial confinement fusions by relying on gold cones for transverse filtering to achieve warm dense plasma, thereby reducing the energy required during the compression process. Thus, the state of the plasma ejected from the gold cones directly reflects the energy conversion efficiency and influences the subsequent fusion process. In this paper, we analyze the x-ray Thomson scattering data from the earlier stage DCI experiments \cite{zhang2020double}. We combine the imaginary-time correlation function method with first-principles methods to decouple the diagnosis of temperature and density and obtain the temperature and density diagnostic outputs: $25$ $\mathrm{eV}$ and $8\pm2$ $\mathrm{g/cc}$. In the analysis, we consider the effect of multi-element mixing and determine the gold impurity ratio to be $0.162 \pm 0.015 \%$ based on the experimental spectrum. These detailed analysis results demonstrate the role of the gold cone in achieving plasma compression and confirm that the gold impurities are within an acceptable range, providing valuable references for future experiments.
Forward citations
Cited by 2 Pith papers
-
Second roton feature in the strongly coupled electron liquid
A second roton-like dip in the spectrum of the strongly coupled uniform electron liquid appears at twice the roton wavenumber for r_s≥100.
-
Re-weighting estimator for ab initio path integral Monte Carlo simulations of fictitious identical particles
A single PIMC simulation at a reference statistics value can be re-weighted to recover the full xi-dependence, eliminating the need for 10-20 separate simulations in the xi-extrapolation method.
Discussion (0). Continue with ORCID to comment.