New precision mass measurements of neutron-rich calcium and potassium isotopes and three-nucleon forces
A.T. Gallant, J.C. Bale, T. Brunner, U. Chowdhury, S. Ettenauer, A., Lennarz, D. Robertson, V.V. Simon, A. Chaudhuri, J.D. Holt, A.A. Kwiatkowski,, E. Man\'e, J. Men\'endez, B.E. Schultz, M.C. Simon, C. Andreoiu, P. Delheij,, M.R. Pearson, H. Savajols, A. Schwenk, J. Dilling

TL;DR
This paper reports high-precision mass measurements of neutron-rich calcium and potassium isotopes near N=32, revealing increased binding energies that support the importance of three-nucleon forces in nuclear structure.
Contribution
First measurement of the mass of $^{51}$K and significant improvements in calcium isotope masses, providing experimental evidence for three-nucleon force effects in neutron-rich nuclei.
Findings
$^{52}$Ca is more bound by 1.74 MeV than previous data.
Mass behavior with neutron number aligns with calculations including 3N forces.
New data supports the role of three-nucleon forces in nuclear binding energy evolution.
Abstract
We present precision Penning-trap mass measurements of neutron-rich calcium and potassium isotopes in the vicinity of neutron number N=32. Using the TITAN system the mass of K was measured for the first time, and the precision of the Ca mass values were improved significantly. The new mass values show a dramatic increase of the binding energy compared to those reported in the atomic mass evaluation. In particular, Ca is more bound by 1.74 MeV, and the behavior with neutron number deviates substantially from the tabulated values. An increased binding was predicted recently based on calculations that include three-nucleon (3N) forces. We present a comparison to improved calculations, which agree remarkably with the evolution of masses with neutron number, making neutron-rich calcium isotopes an exciting region to probe 3N forces at neutron-rich extremes.
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.
