275 research outputs found
Galactic masers and the Milky Way circular velocity
Masers found in massive star-forming regions can be located precisely in
six-dimensional phase space and therefore serve as a tool for studying Milky
Way dynamics. The non-random orbital phases at which the masers are found and
the sparseness of current samples require modeling. Here we model the
phase-space distribution function of 18 precisely measured Galactic masers,
permitting a mean velocity offset and a general velocity dispersion tensor
relative to their local standards of rest, and accounting for different pieces
of prior information. With priors only on the Sun's distance from the Galactic
Center and on its motion with respect to the local standard of rest, the maser
data provide a weak constraint on the circular velocity at the Sun of V_c = 246
+/- 30 km/s. Including prior information on the proper motion of Sgr A* leads
to V_c = 244 +/- 13 km/s. We do not confirm the value of V_c \approx 254 km/s
found in more restrictive models. This analysis shows that there is no conflict
between recent determinations of V_c from Galactic Center analyses, orbital
fitting of the GD-1 stellar stream, and the kinematics of Galactic masers; a
combined estimate is V_c = 236 +/- 11 km/s. Apart from the dynamical
parameters, we find that masers tend to occur at post-apocenter,
circular-velocity-lagging phases of their orbits.Comment: ApJ in pres
The Circular Velocity Curve of the Milky Way from to kpc
We measure the circular velocity curve of the Milky Way with
the highest precision to date across Galactocentric distances of kpc. Our analysis draws on the -dimensional phase-space coordinates of
luminous red-giant stars, for which we previously determined
precise parallaxes using a data-driven model that combines spectral data from
APOGEE with photometric information from WISE, 2MASS, and Gaia. We derive the
circular velocity curve with the Jeans equation assuming an axisymmetric
gravitational potential. At the location of the Sun we determine the circular
velocity with its formal uncertainty to be with systematic uncertainties at the
level. We find that the velocity curve is gently but significantly declining at
, with a systematic uncertainty of
, beyond the inner kpc. We exclude the inner
kpc from our analysis due to the presence of the Galactic bar, which
strongly influences the kinematic structure and requires modeling in a
non-axisymmetric potential. Combining our results with external measurements of
the mass distribution for the baryonic components of the Milky Way from other
studies, we estimate the Galaxy's dark halo mass within the virial radius to be
and a local dark matter
density of .Comment: Accepted for publication in ApJ. All data can be downloaded here:
https://doi.org/10.5281/zenodo.146805
Large stellar disks in small elliptical galaxies
We present the rotation velocities V and velocity dispersions sigma along the
principal axes of seven elliptical galaxies less luminous than M_B= -19.5.
These kinematics extend beyond the half-light radii for all systems in this
photometrically selected sample. At large radii the kinematics not only confirm
that rotation and "diskiness" are important in faint ellipticals, as was
previously known, but also demonstrate that in most sample galaxies the stars
at large galactocentric distances have (V/sigma)_max of about 2, similar to the
disks in bona-fide S0 galaxies. Comparing this high degree of ordered stellar
motion in all sample galaxies with numerical simulations of dissipationless
mergers argues against mergers with mass ratios <=3:1 as an important mechanism
in the final shaping of low-luminosity ellipticals, and favors instead the
dissipative formation of a disk.Comment: 11 pages LaTex with 4 Postscript figure
The Milky Way has no thick disk
Different stellar sub-populations of the Milky Way's stellar disk are known
to have different vertical scale heights, their thickness increasing with age.
Using SEGUE spectroscopic survey data, we have recently shown that
mono-abundance sub-populations, defined in the [\alpha/Fe]-[Fe/H] space, are
well described by single exponential spatial-density profiles in both the
radial and the vertical direction; therefore any star of a given abundance is
clearly associated with a sub-population of scale height h_z. Here, we work out
how to determine the stellar surface-mass density contributions at the solar
radius R_0 of each such sub-population, accounting for the survey selection
function, and for the fraction of the stellar population mass that is reflected
in the spectroscopic target stars given populations of different abundances and
their presumed age distributions. Taken together, this enables us to derive
\Sigma_{R_0}(h_z), the surface-mass contributions of stellar populations with
scale height h_z. Surprisingly, we find no hint of a thin-thick disk
bi-modality in this mass-weighted scale-height distribution, but a smoothly
decreasing function, approximately \Sigma_{R_0}(h_z)\propto \exp(-h_z), from
h_z ~ 200 pc to h_z ~ 1 kpc. As h_z is ultimately the structurally defining
property of a thin or thick disk, this shows clearly that the Milky Way has a
continuous and monotonic distribution of disk thicknesses: there is no 'thick
disk' sensibly characterized as a distinct component. We discuss how our result
is consistent with evidence for seeming bi-modality in purely geometric disk
decompositions, or chemical abundances analyses. We constrain the total visible
stellar surface-mass density at the Solar radius to be \Sigma^*_{R_0} = 30 +/-
1 M_\odot pc^{-2}.Comment: ApJ, in pres
A comprehensive Maximum Likelihood analysis of the structural properties of faint Milky Way satellites
We derive the structural parameters of the recently discovered very low
luminosity Milky Way satellites through a Maximum Likelihood algorithm applied
to SDSS data. For each satellite, even when only a few tens of stars are
available down to the SDSS flux limit, the algorithm yields robust estimates
and errors for the centroid, position angle, ellipticity, exponential
half-light radius and number of member stars. This latter parameter is then
used in conjunction with stellar population models of the satellites to derive
their absolute magnitudes and stellar masses, accounting for `CMD shot-noise'.
We find that faint systems are somewhat more elliptical than initially found
and ascribe that to the previous use of smoothed maps which can be dominated by
the smoothing kernel. As a result, the faintest half of the Milky Way dwarf
galaxies (M_V>-7.5) is significantly (4-sigma) flatter (e=0.47+/-0.03) than its
brightest half (M_V<-7.5, e=0.32+/-0.02). From our best models, we also
investigate whether the seemingly distorted shape of the satellites, often
taken to be a sign of tidal distortion, can be quantified. We find that, except
for tentative evidence of distortion in CVnI and UMaII, these can be completely
accounted for by Poisson scatter in the sparsely sampled systems. We consider
three scenarios that could explain the rather elongated shape of faint
satellites: rotation supported systems, stars following the shape of more
triaxial dark matter subhalos, or elongation due to tidal interaction with the
Milky Way. Although none of these is entirely satisfactory, the last one
appears the least problematic, but warrants much deeper observations to track
evidence of such tidal interaction.Comment: 20 pages, 11 figures, ApJ in press; some typos corrected, magnitude
of BooII corrected (thanks go to Shane Walsh for spotting the erroneous
original value
Spectrophotometric parallaxes with linear models: Accurate distances for luminous red-giant stars
With contemporary infrared spectroscopic surveys like APOGEE, red-giant stars
can be observed to distances and extinctions at which Gaia parallaxes are not
highly informative. Yet the combination of effective temperature, surface
gravity, composition, and age - all accessible through spectroscopy -
determines a giant's luminosity. Therefore spectroscopy plus photometry should
enable precise spectrophotometric distance estimates. Here we use the
APOGEE-Gaia-2MASS-WISE overlap to train a data-driven model to predict
parallaxes for red-giant branch stars with (more luminous
than the red clump). We employ (the exponentiation of) a linear function of
APOGEE spectral pixel intensities and multi-band photometry to predict parallax
spectrophotometrically. The model training involves no logarithms or inverses
of the Gaia parallaxes, and needs no cut on the Gaia parallax signal-to-noise
ratio. It includes an L1 regularization to zero out the contributions of
uninformative pixels. The training is performed with leave-out subsamples such
that no star's astrometry is used even indirectly in its spectrophotometric
parallax estimate. The model implicitly performs a reddening and extinction
correction in its parallax prediction, without any explicit dust model. We
assign to each star in the sample a new spectrophotometric parallax estimate;
these parallaxes have uncertainties of a few to 15 percent, depending on data
quality, which is more precise than the Gaia parallax for the vast majority of
targets, and certainly any stars more than a few kpc distance. We obtain
10-percent distance estimates out to heliocentric distances of kpc, and
make global maps of the Milky Way's disk.Comment: Submitted to ApJ, comments are welcome. All data can be downloaded
here: https://doi.org/10.5281/zenodo.146805
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