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SUMMARY:Measuring the Milky Way's Mass with Gaia - Gregory Green (MPIA)
DTSTART:20251124T160000Z
DTEND:20251124T170000Z
UID:TALK240316@talks.cam.ac.uk
CONTACT:65128
DESCRIPTION:The Cold Dark Matter paradigm has been well tested on large sc
 ales\, yet observational constraints are weaker at sub-galactic scales. Th
 e gravitational potential of the Milky Way is generated by all of the matt
 er - both baryonic and dark. By mapping the potential\, we can thus uncove
 r the distribution of the unseen dark component of the Milky Way. Gaia has
  precisely measured 6D phase-space coordinates of over 30 million stars\, 
 dramatically expanding our knowledge of stellar kinematics in the Milky Wa
 y. Prior to Gaia\, highly simplified models were used to recover the gravi
 tational potential from stellar kinematics\, but the quantity and quality 
 of the new phase-space data provided by Gaia demands new approaches that c
 an more fully describe the richness of the data. I will discuss a new meth
 od\, "Deep Potential\," which applies computational tools from Deep Learni
 ng in a physically principled way to solve the collisionless Boltzmann equ
 ation with minimal assumptions and thus to recover the underlying gravitat
 ional potential and dark matter density distribution.
LOCATION:Martin Ryle Seminar Room\, KICC
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