研究目的
To improve the measurement on the stability of electron-to-proton mass ratio using ultracold KRb molecules.
研究成果
The study achieved the most accurate molecular test for the temporal variation of the electron-to-proton mass ratio to date, with a limit on temporal variation of μ better by a factor of five compared with previous laboratory molecular limits. The method demonstrates the power of using ultracold molecules for precision measurements of fundamental constants.
研究不足
The measurement was limited by statistical errors, and further improvements are expected to be straightforward. The precision could be enhanced by increasing the number of molecules and the data accumulation time.
1：Experimental Design and Method Selection:
The experiment utilized a rovibrationally pure sample of ultracold KRb molecules produced by photoassociation in a magneto-optical trap followed by stimulated Raman adiabatic passage. The measurement was based on a large sensitivity coefficient of the molecular spectroscopy, using a transition between a nearly degenerate pair of vibrational levels each associated with a different electronic potential.
2：Sample Selection and Data Sources:
Ultracold KRb molecules were used, with the selection based on their sensitivity to the variation of the electron-to-proton mass ratio.
3：List of Experimental Equipment and Materials:
The setup included a magneto-optical trap (MOT) for 87Rb and 41K atoms, photoassociation lasers, stimulated Raman adiabatic passage (STIRAP) lasers, and a microwave setup for spectroscopy.
4：Experimental Procedures and Operational Workflow:
Molecules were produced by photoassociation, transferred to the target internal state by STIRAP, and then irradiated with a microwave pulse. State-selective detection was achieved by ionizing the molecules with a pulsed laser and detecting them with a microchannel plate (MCP).
5：Data Analysis Methods:
The resonance frequencies of the transition were analyzed to determine the temporal variation of the electron-to-proton mass ratio, with statistical and systematic errors carefully evaluated.
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