Bootstrapping quantum universality: Cross-species calibration of a cold atom pressure sensor
POSTER
Abstract
The atomic sensor is poised to become the first primary UHV pressure standard. The sensor ensemble loss rate is the density of background particles times the loss rate coefficient〈σlossv〉. Until recently, it was thought that〈σlossv〉could only be determined from knowledge of the interatomic potentials or from calibration with a known pressure. However, its universal dependence on trap depth allows an experimental determination of the characteristic ”quantum diffractive energy” (Ud) and thus〈σlossv〉for any background species. This self-calibrating feature opens up the possibility of measuring gases for which the calculation and calibration techniques are not feasible.
Here we directly compare the self-calibrating method for 87Rb-H2 collisions with calculations of the 6Li+H2 cross-section. The 87Rb-H2 trap loss rate was used to determine the H2 background pressure and, subsequently, to determine the〈σtotv〉coefficient for 6Li-H2 collisions in a dual-species magnetic trap. This cross-calibration is necessary because Ud for 6Li-H2 collisions is large, limiting the precision to which〈σtotv〉can be determined via loss rate dependence. We compare our results to ab-initio calculations performed at NIST [PRA 99, 042704 (2019)], providing further evidence of the applicability of the self-calibrating technique.
Here we directly compare the self-calibrating method for 87Rb-H2 collisions with calculations of the 6Li+H2 cross-section. The 87Rb-H2 trap loss rate was used to determine the H2 background pressure and, subsequently, to determine the〈σtotv〉coefficient for 6Li-H2 collisions in a dual-species magnetic trap. This cross-calibration is necessary because Ud for 6Li-H2 collisions is large, limiting the precision to which〈σtotv〉can be determined via loss rate dependence. We compare our results to ab-initio calculations performed at NIST [PRA 99, 042704 (2019)], providing further evidence of the applicability of the self-calibrating technique.
Presenters
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Denis Uhland
University of British Columbia
Authors
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Denis Uhland
University of British Columbia
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Erik B Frieling
University of British Columbia
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Pinrui Shen
University of British Columbia
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James Booth
British Columbia Inst of Tech
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Kirk W Madison
University of British Columbia