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SUMMARY:Milky Way mass with K giants and BHB stars using LAMOST\, SDSS/SEG
 UE\, and Gaia: 3D spherical Jeans equation and tracer mass estimator
DTSTART;VALUE=DATE-TIME:20230321T083000Z
DTEND;VALUE=DATE-TIME:20230321T085500Z
DTSTAMP;VALUE=DATE-TIME:20240704T115721Z
UID:indico-contribution-173@meetings.aip.de
DESCRIPTION:Speakers: Sarah A. Bird ()\nWe measure the enclosed Milky Way 
 mass profile to Galactocentric distances of $\\sim70$ and $\\sim50$ kpc us
 ing the smooth\, diffuse stellar halo samples of Bird et al. The samples a
 re LAMOST and SDSS/SEGUE K giants (KG) and SDSS/SEGUE blue horizontal bran
 ch (BHB) stars with accurate metallicities. The 3D kinematics are availabl
 e through LAMOST and SDSS/SEGUE distances and radial velocities and {\\it 
 Gaia} DR2 proper motions. Two methods are used to estimate the enclosed ma
 ss: 3D spherical Jeans equation and Evans et al. tracer mass estimator (TM
 E). We remove substructure via the Xue et al. method based on integrals of
  motion. We evaluate the uncertainties on our estimates due to random samp
 ling noise\, systematic distance errors\, the adopted density profile\, an
 d non-virialization and non-spherical effects of the halo. The tracer dens
 ity profile remains a limiting systematic in our mass estimates\, although
  within these limits we find reasonable agreement across the different sam
 ples and the methods applied. Out to $\\sim70$ and $\\sim50$ kpc\, the Jea
 ns method yields total enclosed masses of $4.3\\pm0.95$ (random) $\\pm0.6$
  (systematic) $\\times10^{11}$ M$_\\odot$ and $4.1\\pm1.2$ (random) $\\pm0
 .6$ (systematic) $\\times10^{11}$ M$_\\odot$ for the KG and BHB stars\, re
 spectively. For the KG and BHB samples we find a dark matter virial mass o
 f $M_{200}=0.55^{+0.15}_{-0.11}$ (random) $\\pm0.083$ (systematic) $\\time
 s10^{12}$ M$_\\odot$ and $M_{200}=1.00^{+0.67}_{-0.33}$ (random) $\\pm0.15
 $ (systematic) $\\times10^{12}$ M$_\\odot$\, respectively.\n\nhttps://meet
 ings.aip.de/event/20/contributions/173/
LOCATION:Haus H\, Telegrafenberg
URL:https://meetings.aip.de/event/20/contributions/173/
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