[Faculty] Fwd: [CSRC.COLLOQUIUM] "Improving Mass Predictions Throughout the Nuclear Chart"

[Jose Castillo]

[image: SDSU_CSRC Logo.jpg]


DATE:
*Friday, November 13, 2020*



TITLE:

*Improving Mass Predictions Throughout the Nuclear Chart*


TIME:
*3:30-4:30PM*




LOCATION:
Join Zoom Meeting -  *https://SDSU.zoom.us/j/91071174391*
<https://sdsu.zoom.us/j/91071174391>



SPEAKER/BIO:

*Dr. Rodrigo Navarro Perez, Physics, San Diego State University *






ABSTRACT:


Nuclear masses are a crucial ingredient in simulating stellar evolution and
the creation of heavy elements. This is particularly true for heavy,
neutron-rich isotopes for which experimental values are not available.
Different many body methods can be used to calculate nuclear masses
throughout the nuclear chart. Direct ab-initio methods have been successful
in correctly describing light and intermediate nuclei, but heavy nuclei
remain out of reach. Mean-field approaches can be used for light and heavy
nuclei but rely on phenomenological interactions, which causes
discrepancies between theory and experiment. In this talk I'll review two
different approaches for improving mean-field calculations throughout the
nuclear chart. The first approach attempts to include microscopically
constrained contributions in the mean interaction to create a
semi-phenomenological interaction. The second approach uses machine
learning algorithms to approximate the model discrepancy between theory and
experiments which can then be used to improve predictions in nuclei that
are yet to be measured. Successes and limitations for both approaches will
be discussed.




Host: Calvin Johnson

Note: Videos of previous colloquium talks can be seen on the CSRC website
in the colloquium archive section or on the CSRC YouTube page here
<https://www.youtube.com/channel/UCN0ZEztlmyDqG2pm-Rle_Eg/feed>.




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