2 research outputs found
Parametrization and Classification of 20 Billion LSST Objects: Lessons from SDSS
The Large Synoptic Survey Telescope (LSST) will be a large, wide-field
ground-based system designed to obtain, starting in 2015, multiple images of
the sky that is visible from Cerro Pachon in Northern Chile. About 90% of the
observing time will be devoted to a deep-wide-fast survey mode which will
observe a 20,000 deg region about 1000 times during the anticipated 10
years of operations (distributed over six bands, ). Each 30-second long
visit will deliver 5 depth for point sources of on average.
The co-added map will be about 3 magnitudes deeper, and will include 10 billion
galaxies and a similar number of stars. We discuss various measurements that
will be automatically performed for these 20 billion sources, and how they can
be used for classification and determination of source physical and other
properties. We provide a few classification examples based on SDSS data, such
as color classification of stars, color-spatial proximity search for wide-angle
binary stars, orbital-color classification of asteroid families, and the
recognition of main Galaxy components based on the distribution of stars in the
position-metallicity-kinematics space. Guided by these examples, we anticipate
that two grand classification challenges for LSST will be 1) rapid and robust
classification of sources detected in difference images, and 2) {\it
simultaneous} treatment of diverse astrometric and photometric time series
measurements for an unprecedentedly large number of objects.Comment: Presented at the "Classification and Discovery in Large Astronomical
Surveys" meeting, Ringberg Castle, 14-17 October, 200
SDSS Observations of the Milky Way vs. N-body Models: A Comparison of Stellar Distributions in the Position-Velocity-Metallicity Space
The data obtained by the recent modern sky surveys enable detailed studies of
the stellar distribution in the multi-dimensional space spanned by spatial
coordinates, velocity and metallicity, from the solar neighborhood all the way
out to the outer Milky Way halo. While these results represent exciting
observational breakthroughs, their interpretation is not simple. For example,
traditional decomposition of the thin and thick disks predicts a strong
correlation in metallicity and kinematics at 1 kpc from the Galactic
plane; however, recent SDSS--based work has demonstrated an absence of this
correlation for disk stars. Instead, the variation of the metallicity and
rotational velocity distributions can be modeled using non--Gaussian functions
that retain their shapes and only shift as the distance from the mid--plane
increases. To fully contextualize these recent observational results, a
detailed comparison with sophisticated numerical models is necessary. Modern
simulations have sufficient resolution and physical detail to study the
formation of stellar disks and spheroids over a large baseline of masses and
cosmic ages. We discuss preliminary comparisons of various observed maps and
N--body model predictions and find them encouraging. In particular, the N--body
disk models of Ro\v{s}kar et al. \cite{Roskar 2008} reproduce a change of disk
scale height reminiscent of thin/thick disk decomposition, as well as
metallicity and rotational velocity gradients, while not inducing a correlation
of the latter two quantities, in qualitative agreement with SDSS observations.Comment: Presented at the "Classification and Discovery in Large Astronomical
Surveys" meeting, Ringberg Castle, 14-17 October, 200