Pith. sign in

REVIEW

Inverse Transform Sampling for Efficient Doppler-Averaged Spectroscopy Simulations

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

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

arxiv 2304.12468 v1 pith:MPEVG2GQ submitted 2023-04-24 physics.atom-ph

Andrew P. Rotunno , Amy K. Robinson , Nikunjkumar Prajapati , Samuel Berweger , Matthew T. Simons , Alexandra B. Artusio-Glimpse , Christopher L. Holloway This is my paper · ORCID
classification physics.atom-ph
keywords samplingmethodvelocityatomicdistributioninversethermaltransform
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

We present a thermal velocity sampling method for calculating Doppler-broadened atomic spectra, which more efficiently reaches a smooth limit than regular velocity weighted sampling. The method uses equal-population sampling of the 1-D thermal distribution, sampling the 'inverse transform' of the cumulative distribution function, and is broadly applicable to normal distributions. We also discuss efficiencies from eliminating velocity classes which don't significantly contribute to observed atomic lines, and comment on the application of this method in 2- and 3-dimensions.

Discussion (0). Continue with ORCID to comment.

Pith tools