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SEQUENCE:0
UID:UW-Physics-Event-8481
DTSTART:20231031T190000Z
DURATION:PT1H0M0S
DTSTAMP:20260414T050604Z
LAST-MODIFIED:20231026T164206Z
LOCATION:Join Zoom Meeting https://berkeley.zoom.us/j/91230714547 Mee
ting ID: 912 3071 4547
SUMMARY:Consistent inference of neutron star bulk and crust properties
and nuclear observables.\, Network in Neutrinos\, Nuclear Astrophysi
cs\, and Symmetries (N3AS) Seminar\, Will Newton \, Texas A&M
DESCRIPTION:We have entered the era of multi-messenger nuclear astroph
ysics\,
\nbringing a host of astrophysical observations and nuclea
r experimental
\ndata to collectively measure the properties of neu
tron star matter and
\nthe nuclear force in neutron-rich systems. I
n order to combine disparate
\ndata sets with meaningful uncertaint
y quantification\, over the past
\ndecade statistical inference tec
hniques employing ensembles of
\nmodels of each observable have bee
n increasingly employed. In order to
\nminimize systematic model un
certainty\, where possible the same
\nunderlying model should be us
ed to construct neutron star and nuclear
\nmodels. We present an ex
ample of such an approach\, using an
\nEnergy-Density Functional to
model bulk properties of neutron stars such
\nas the maximum mass\
, radii\, tidal deformabilities and moments of
\ninertia\, crust pr
operties of neutron stars\, and nuclear properties
\nincluding nucl
ear masses\, neutron skins and dipole polarizabilities. In
\npartic
ular\, we argue that crust observables can help constrain both core
\nproperties and nuclear observables when consistent ensembles of cru
st
\nmodels are used.
\n
\n
\nNOTE: All participants and h
osts are now required to sign into a Zoom account prior to joining mee
tings hosted by UC Berkeley.
\n
URL:https://www.physics.wisc.edu/events/?id=8481
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