Time-of-flight mass measurements for nuclear processes in neutron star crusts
A. Estrade, M. Matos, H. Schatz, A. M. Amthor, D. Bazin, M. Beard, A., Becerril, E. F. Brown, R. Cyburt, T. Elliot, A. Gade, D. Galaviz, S. George,, S. S. Gupta, W. R. Hix, R. Lau, G. Lorusso, P. Moller, J. Pereira, M., Portillo, A. M. Rogers, D. Shapira, E. Smith, A. Stolz

TL;DR
This study uses a new time-of-flight technique to measure neutron-rich nuclear masses, refining models of heat sources in neutron star crusts and providing first measurements for several isotopes, impacting astrophysical theories.
Contribution
The paper introduces a novel implementation of the time-of-flight method for measuring nuclear masses of rare isotopes, achieving first measurements for some and improving accuracy for others.
Findings
Measured 16 neutron-rich nuclei masses, including first data for $^{61}${V}, $^{63}${Cr}, $^{66}${Mn}, and $^{74}${Ni}.
Found the electron capture transition for $^{66}$Fe to $^{66}$Mn occurs closer to the surface than previously thought.
Revised the location of heat sources in neutron star crusts based on new mass measurements.
Abstract
The location of electron capture heat sources in the crust of accreting neutron stars depends on the masses of extremely neutron-rich nuclei. We present first results from a new implementation of the time-of-flight technique to measure nuclear masses of rare isotopes at the National Superconducting Cyclotron Laboratory. The masses of 16 neutron-rich nuclei in the scandium -- nickel range were determined simultaneously, improving the accuracy compared to previous data in 12 cases. The masses of {V}, {Cr}, {Mn}, and {Ni} were measured for the first time with mass excesses of MeV, MeV, MeV, and MeV, respectively. With the measurement of the Mn mass, the locations of the two dominant electron capture heat sources in the outer crust of accreting neutron stars that exhibit superbursts are now…
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.
