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Published April 2021 | Submitted + Published
Journal Article Open

Simulation of cryogenic buffer gas beams

Abstract

The cryogenic buffer gas beam (CBGB) is an important tool in the study of cold and ultracold molecules. While there are known techniques to enhance desired beam properties of a CBGB, such as high flux, low velocity, or reduced divergence, they have generally not undergone detailed numerical optimization. Numerical simulation of buffer gas beams is challenging, because the relevant dynamics occur in regions where the density varies by orders of magnitude, rendering typical numerical methods unreliable or intractable. Here we simulate CBGBs with a hybrid approach that combines gas dynamics methods with particle tracing. The simulations capture important properties, such as velocitiy and divergence, across an assortment of designs, including two-stage slowing cells and de Laval nozzles. This approach should therefore be a useful tool for optimizing CBGB designs across a wide range of applications.

Additional Information

© 2021 Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI. Received 1 December 2020; revised 13 March 2021; accepted 16 March 2021; published 6 April 2021. We appreciate many helpful discussions with the PolyEDM collaboration, especially Ben Augenbraun and Cal Miller. We are grateful for feedback on the manuscript from Arian Jadbabaie, Phelan Yu, and John M. Doyle. Y.T. was supported by the Masason Foundation. D.S. was supported by a Caltech Summer Undergraduate Research Fellowship (SURF) sponsored by the Aerospace Corporation and Gary Stupian. G.W. was supported by SURF and the Heising-Simons Foundation (2019-1193). N.R.H. acknowledges support from an NSF CAREER award (PHY-1847550), a NIST Precision Measurement Grant No. (60NANB18D253), the Gordon and Betty Moore Foundation (7947), and the Alfred P. Sloan Foundation (G-2019-12502). Computations in this manuscript were performed on the Caltech High Performance Cluster.

Attached Files

Published - PhysRevResearch.3.023018.pdf

Submitted - 2011.11887.pdf

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Created:
August 20, 2023
Modified:
October 23, 2023