Author
Listed:
- Léo Morel
(Sorbonne University, CNRS, ENS-PSL University, Collège de France)
- Zhibin Yao
(Sorbonne University, CNRS, ENS-PSL University, Collège de France)
- Pierre Cladé
(Sorbonne University, CNRS, ENS-PSL University, Collège de France)
- Saïda Guellati-Khélifa
(Sorbonne University, CNRS, ENS-PSL University, Collège de France
Conservatoire National des Arts et Métiers)
Abstract
The standard model of particle physics is remarkably successful because it is consistent with (almost) all experimental results. However, it fails to explain dark matter, dark energy and the imbalance between matter and antimatter in the Universe. Because discrepancies between standard-model predictions and experimental observations may provide evidence of new physics, an accurate evaluation of these predictions requires highly precise values of the fundamental physical constants. Among them, the fine-structure constant α is of particular importance because it sets the strength of the electromagnetic interaction between light and charged elementary particles, such as the electron and the muon. Here we use matter-wave interferometry to measure the recoil velocity of a rubidium atom that absorbs a photon, and determine the fine-structure constant α−1 = 137.035999206(11) with a relative accuracy of 81 parts per trillion. The accuracy of eleven digits in α leads to an electron g factor1,2—the most precise prediction of the standard model—that has a greatly reduced uncertainty. Our value of the fine-structure constant differs by more than 5 standard deviations from the best available result from caesium recoil measurements3. Our result modifies the constraints on possible candidate dark-matter particles proposed to explain the anomalous decays of excited states of 8Be nuclei4 and paves the way for testing the discrepancy observed in the magnetic moment anomaly of the muon5 in the electron sector6.
Suggested Citation
Léo Morel & Zhibin Yao & Pierre Cladé & Saïda Guellati-Khélifa, 2020.
"Determination of the fine-structure constant with an accuracy of 81 parts per trillion,"
Nature, Nature, vol. 588(7836), pages 61-65, December.
Handle:
RePEc:nat:nature:v:588:y:2020:i:7836:d:10.1038_s41586-020-2964-7
DOI: 10.1038/s41586-020-2964-7
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:nature:v:588:y:2020:i:7836:d:10.1038_s41586-020-2964-7. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.