Two-photon laser spectroscopy of antiprotonic helium and the antiproton-to-electron mass ratio
Masaki Hori, Anna S\'ot\'er, Daniel Barna, Andreas Dax, Ryugo Hayano,, Susanne Friedreich, Bertalan Juh\'asz, Thomas Pask, Eberhard Widmann, Dezs\"o, Horv\'ath, Luca Venturelli, Nicola Zurlo

TL;DR
This study uses two-photon laser spectroscopy on antiprotonic helium to precisely measure transition frequencies, enabling an accurate determination of the antiproton-to-electron mass ratio and testing CPT symmetry.
Contribution
It presents the first high-precision two-photon spectroscopy measurements of antiprotonic helium, improving the accuracy of the antiproton-to-electron mass ratio determination.
Findings
Measured three transition frequencies with 2.3-5 parts in 10^9 precision.
Derived an antiproton-to-electron mass ratio consistent with the proton-to-electron value.
Confirmed CPT symmetry by matching the antiproton and proton mass ratios.
Abstract
Physical laws are believed to be invariant under the combined transformations of charge, parity and time reversal (CPT symmetry). This implies that an antimatter particle has exactly the same mass and absolute value of charge as its particle counterpart. Metastable antiprotonic helium () is a three-body atom consisting of a normal helium nucleus, an electron in its ground state and an antiproton () occupying a Rydberg state with high principal and angular momentum quantum numbers, respectively and , such that . These atoms are amenable to precision laser spectroscopy, the results of which can in principle be used to determine the antiproton-to-electron mass ratio and to constrain the equality between the antiproton and proton charges and masses. Here we report two-photon spectroscopy of antiprotonic helium, in which $\bar{p}{\rm…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
