BEGIN:VCALENDAR
VERSION:2.0
CALSCALE:GREGORIAN
PRODID:UW-Madison-Physics-Events
BEGIN:VEVENT
SEQUENCE:0
UID:UW-Physics-Event-6953
DTSTART:20220517T190000Z
DURATION:PT1H0M0S
DTSTAMP:20260412T195511Z
LAST-MODIFIED:20220513T133046Z
LOCATION:Join Zoom Meeting https://berkeley.zoom.us/j/91230714547  Mee
 ting ID: 912 3071 4547
SUMMARY:Implicit correlations within phenomenological parametric model
 s of the neutron star equation of state\, Network in Neutrinos\, Nucle
 ar Astrophysics\, and Symmetries (N3AS) Seminar\, Isaac Legred\, Calte
 ch
DESCRIPTION:Astrophysical probes of neutron stars such as gravitationa
 l-wave and x-ray pulse profile modeling have improved prospects for in
 ferring the nuclear equation of state at high densities. To connect th
 ese observations and infer the properties of dense matter and neutron 
 stars simultaneously\, models for the equation of state are introduced
 . One class\, parametric models\, such as the commonly used piecewise-
 polytope and spectral parameterizations\, rely on carefully engineered
  functional forms that reproduce a large array of realistic equations 
 of state. In this talk I will compare these parametric models to a nov
 el model based on Gaussian processes and show that parametric models i
 mpose unphysical\, and sometimes opaque\, correlations between density
  scales. Such inter-density correlations result in tighter constraints
  that are unsupported by data\, and can lead to biased inference of th
 e equation of state and of individual neutron star properties.<br>
\n<
 br>
\nJoin Zoom Meeting<br>
\nhttps://berkeley.zoom.us/j/91230714547<b
 r>
\n<br>
\nMeeting ID: 912 3071 4547<br>
\n<br>
\n
URL:https://www.physics.wisc.edu/events/?id=6953
END:VEVENT
END:VCALENDAR