Dark matter axion search using a Josephson Traveling wave parametric amplifier
Name
044703_1_5.0122907.pdf
Description
Published version
Size
4.54 MB
Format
Adobe PDF
Checksum (MD5)
dd5cb4ea3969c2f7685f71e4940875db
Date Issued
April 3, 2023
Journal
Review of Scientific Instruments
Publisher
AIP Publishing
Citation
C. Bartram, T. Braine, R. Cervantes, N. Crisosto, N. Du, G. Leum, P. Mohapatra, T. Nitta, L. J. Rosenberg, G. Rybka, J. Yang, John Clarke, I. Siddiqi, A. Agrawal, A. V. Dixit, M. H. Awida, A. S. Chou, M. Hollister, S. Knirck, A. Sonnenschein, W. Wester, J. R. Gleason, A. T. Hipp, S. Jois, P. Sikivie, N. S. Sullivan, D. B. Tanner, E. Lentz, R. Khatiwada, G. Carosi, C. Cisneros, N. Robertson, N. Woollett, L. D. Duffy, C. Boutan, M. Jones, B. H. LaRoque, N. S. Oblath, M. S. Taubman, E. J. Daw, M. G. Perry, J. H. Buckley, C. Gaikwad, J. Hoffman, K. Murch, M. Goryachev, B. T. McAllister, A. Quiskamp, C. Thomson, M. E. Tobar, V. Bolkhovsky, G. Calusine, W. Oliver, K. Serniak; Dark matter axion search using a Josephson Traveling wave parametric amplifier. Rev. Sci. Instrum. 1 April 2023; 94 (4): 044703.
Version
Final published version
Abstract
We describe the first implementation of a Josephson Traveling Wave Parametric Amplifier (JTWPA) in an axion dark matter search. The operation of the JTWPA for a period of about two weeks achieved sensitivity to axion-like particle dark matter with axion–photon couplings above 10−13 Ge V−1 over a narrow range of axion masses centered around 19.84 µeV by tuning the resonant frequency of the cavity over the frequency range of 4796.7–4799.5 MHz. The JTWPA was operated in the insert of the axion dark matter experiment as part of an independent receiver chain that was attached to a 0.56-l cavity. The ability of the JTWPA to deliver high gain over a wide (3 GHz) bandwidth has engendered interest from those aiming to perform broadband axion searches, a longstanding goal in this field.
MIT Department
Lincoln Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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DOI of Published Version
https://doi.org/10.1063/5.0122907
