TY - JOUR
KW - Physics and Astronomy (miscellaneous)
AU - Daniel Palken
AU - Benjamin Brubaker
AU - M. Malnou
AU - Al Kenany
AU - K. Backes
AU - S. Cahn
AU - Y. Gurevich
AU - S. Lamoreaux
AU - S. Lewis
AU - R. Maruyama
AU - N. Rapidis
AU - J. Root
AU - M. Simanovskaia
AU - T. Shokair
AU - Sukhman Singh
AU - D. Speller
AU - I. Urdinaran
AU - K. van Bibber
AU - L. Zhong
AU - Konrad Lehnert
AB - In experiments searching for axionic dark matter, the use of the standard threshold-based data analysis discards valuable information. We present a Bayesian analysis framework that builds on an existing processing protocol [B. M. Brubaker, L. Zhong, S. K. Lamoreaux, K. W. Lehnert, and K. A. van Bibber, Phys. Rev. D 96, 123008 (2017)] to extract more information from the data of coherent axion detectors such as operating haloscopes. The analysis avoids logical subtleties that accompany the standard analysis framework and enables greater experimental flexibility on future data runs. Performing this analysis on the existing data from the HAYSTAC experiment, we find improved constraints on the axion-photon coupling gγ while also identifying the most promising regions of parameter space within the 23.15–24.0 μeV mass range. A comparison with the standard threshold analysis suggests a 36% improvement in scan rate from our analysis, demonstrating the utility of this framework for future axion haloscope analyses.
BT - Physical Review D
DA - 2020-06
DO - 10.1103/physrevd.101.123011
IS - 12
N2 - In experiments searching for axionic dark matter, the use of the standard threshold-based data analysis discards valuable information. We present a Bayesian analysis framework that builds on an existing processing protocol [B. M. Brubaker, L. Zhong, S. K. Lamoreaux, K. W. Lehnert, and K. A. van Bibber, Phys. Rev. D 96, 123008 (2017)] to extract more information from the data of coherent axion detectors such as operating haloscopes. The analysis avoids logical subtleties that accompany the standard analysis framework and enables greater experimental flexibility on future data runs. Performing this analysis on the existing data from the HAYSTAC experiment, we find improved constraints on the axion-photon coupling gγ while also identifying the most promising regions of parameter space within the 23.15–24.0 μeV mass range. A comparison with the standard threshold analysis suggests a 36% improvement in scan rate from our analysis, demonstrating the utility of this framework for future axion haloscope analyses.
PB - American Physical Society (APS)
PY - 2020
EP - 123011
T2 - Physical Review D
TI - Improved analysis framework for axion dark matter searches
VL - 101
SN - 2470-0010, 2470-0029
ER -