492 research outputs found
The age distribution of stars in the Milky Way bulge
The age and chemical characteristics of the Galactic bulge link to the
formation and evolutionary history of the Galaxy. Data-driven methods and large
surveys enable stellar ages and precision chemical abundances to be determined
for vast regions of the Milky Way, including the bulge. Here, we use the
data-driven approach of The Cannon, to infer the ages and abundances for
125,367 stars in the Milky Way, using spectra from Apache Point Observatory
Galaxy Evolution Experiment (APOGEE) DR14. We examine the ages and
metallicities of 1654 bulge stars within kpc. We focus on
fields with , and out to longitudes of . We see that
stars in the bulge are about twice as old ( Gyrs), on average, compared
to those in the solar neighborhood ( Gyrs), with a larger dispersion in
[Fe/H] ( compared to 0.23 dex). This age gradient comes primarily
from the low- stars. Looking along the Galactic plane, the very central
field in the bulge shows by far the largest dispersion in [Fe/H]
( dex) and line of sight velocity
( km/s), and simultaneously the smallest dispersion in
age. Moving out in longitude, the stars become kinematically colder and less
dispersed in [Fe/H], but show a much broader range of ages. We see a signature
of the X-shape within the bulge at a latitude of , but not at
. Future APOGEE and other survey data, with larger sampling,
affords the opportunity to extend our approach and study in more detail, to
place stronger constraints on models of the Milky Way.Comment: Published in ApJ. 17 pages, 23 figures. Updated with minor text
revisions and additional citations to match ApJ published versio
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
A kiloparsec-scale nuclear stellar disk in the milky way as a possible explanation of the high velocity peaks in the galactic bulge
The Apache Point Observatory Galactic Evolution Experiment has measured the stellar velocities of red giant stars in the inner Milky Way. We confirm that the line of sight velocity distributions (LOSVDs) in the mid-plane exhibit a second peak at high velocities, whereas those at | b| =2^\circ do not. We use a high resolution simulation of a barred galaxy, which crucially includes gas and star formation, to guide our interpretation of the LOSVDs. We show that the data are fully consistent with the presence of a thin, rapidly rotating, nuclear disk extending to βΌ1 kpc. This nuclear disk is orientated perpendicular to the bar and is likely to be composed of stars on x2 orbits. The gas in the simulation is able to fall onto such orbits, leading to stars populating an orthogonal disk
Microwave Filter Design
Filters are an essential part of telecommunications and radar systems and are key items in the performance and cost of such systems, especially in the increasingly congested spectrum. There has been a particularly marked growth in the cellular communications industry in recent years. This has contributed to both very demanding performance specifications for filters and the commercial pressures for low cost, high volume and quick delivery. Through an investigation into and a subsequent implementation of filter theory, the techniques to produce optimal filter performance for a class of filters are developed in this thesis. This thesis presents an entire design process for filter synthesis of narrow to moderate bandwidth filters, from an investigation of the basic theory through to the development of a generalised synthesis program. This program is an exact design method based on the concept of a matrix representation of coupling coefficients. The outline of the processes required to implement this method have been obtained from a paper by Cameron[1]. To develop the program, Cameronβs summary of the filter synthesis method has been expanded in detail, using further mathematical derivations to produce a Matlab program for generalised Chebyshev filter synthesis.A description of how to transpose the obtained mathematical results to the physical filter structure is included and a filter has been designed and made to specifications using the synthesis program. The process of tuning the filter via the group delay method, using results obtained mathematically is detailed. The overall process is verified by the results obtained from the physical filter
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