A Caltech Library Service

Simulation of cryogenic buffer gas beams

Takahashi, Yuiki and Shlivko, David and Woolls, Gabriel and Hutzler, Nicholas R. (2021) Simulation of cryogenic buffer gas beams. Physical Review Research, 3 (2). Art. No. 023018. ISSN 2643-1564. doi:10.1103/PhysRevResearch.3.023018.

PDF - Published Version
Creative Commons Attribution.

[img] PDF - Submitted Version
See Usage Policy.


Use this Persistent URL to link to this item:


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.

Item Type:Article
Related URLs:
URLURL TypeDescription Paper
Takahashi, Yuiki0000-0003-0027-0556
Shlivko, David0000-0002-9524-1282
Hutzler, Nicholas R.0000-0002-5203-3635
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.
Funding AgencyGrant Number
Masason FoundationUNSPECIFIED
Caltech Summer Undergraduate Research Fellowship (SURF)UNSPECIFIED
Aerospace CorporationUNSPECIFIED
Heising-Simons Foundation2019-1193
National Institute of Standards and Technology (NIST)60NANB18D253
Gordon and Betty Moore Foundation7947
Alfred P. Sloan FoundationG-2019-12502
Issue or Number:2
Record Number:CaltechAUTHORS:20210105-133424128
Persistent URL:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:107326
Deposited By: George Porter
Deposited On:06 Jan 2021 18:20
Last Modified:21 Apr 2021 17:56

Repository Staff Only: item control page