11,451 research outputs found
A Two-Colour CCD Survey of the North Celestial Cap: I. The Method
We describe technical aspects of an astrometric and photometric survey of the
North Celestial Cap (NCC), from the Pole (DEC=90 deg) to DEC=80 deg, in support
of the TAUVEX mission. This region, at galactic latitudes from ~ 17 deg to ~ 37
deg, has poor coverage in modern CCD-based surveys. The observations are
performed with the Wise Observatory one-meter reflector and with a new mosaic
CCD camera (LAIWO) that images in the Johnson-Cousins R and I bands a
one-square-degree field with subarcsec pixels. The images are treated using
IRAF and SExtractor to produce a final catalogue of sources. The astrometry,
based on the USNO-A2.0 catalogue, is good to ~ 1 arcsec and the photometry is
good to ~ 0.1 mag for point sources brighter than R=20.0 or I=19.1 mag. The
limiting magnitudes of the survey, defined at photometric errors smaller than
0.15 mag, are 20.6 mag (R) and 19.6 (I). We separate stars from non-stellar
objects based on the object shapes in the R and I bands, attempting to
reproduce the SDSS star/galaxy dichotomy. The completeness test indicates that
the catalogue is complete to the limiting magnitudes.Comment: 31 pages, 15 figures, Accepted for publication in Astrophysics &
Space Scienc
An Improved Photometric Calibration of the Sloan Digital Sky Survey Imaging Data
We present an algorithm to photometrically calibrate wide field optical
imaging surveys, that simultaneously solves for the calibration parameters and
relative stellar fluxes using overlapping observations. The algorithm decouples
the problem of "relative" calibrations, from that of "absolute" calibrations;
the absolute calibration is reduced to determining a few numbers for the entire
survey. We pay special attention to the spatial structure of the calibration
errors, allowing one to isolate particular error modes in downstream analyses.
Applying this to the Sloan Digital Sky Survey imaging data, we achieve ~1%
relative calibration errors across 8500 sq.deg. in griz; the errors are ~2% for
the u band. These errors are dominated by unmodelled atmospheric variations at
Apache Point Observatory. These calibrations, dubbed "ubercalibration", are now
public with SDSS Data Release 6, and will be a part of subsequent SDSS data
releases.Comment: 16 pages, 17 figures, matches version accepted in ApJ. These
calibrations are available at http://www.sdss.org/dr
Seoul National University Camera II (SNUCAM-II): The New SED Camera for the Lee Sang Gak Telescope (LSGT)
We present the characteristics and the performance of the new CCD camera
system, SNUCAM-II (Seoul National University CAMera system II) that was
installed on the Lee Sang Gak Telescope (LSGT) at the Siding Spring Observatory
in 2016. SNUCAM-II consists of a deep depletion chip covering a wide wavelength
from 0.3 {\mu}m to 1.1 {\mu}m with high sensitivity (QE at > 80% over 0.4 to
0.9 {\mu}m). It is equipped with the SDSS ugriz filters and 13 medium band
width (50 nm) filters, enabling us to study spectral energy distributions
(SEDs) of diverse objects from extragalactic sources to solar system objects.
On LSGT, SNUCAM-II offers 15.7 {\times} 15.7 arcmin field-of-view (FOV) at a
pixel scale of 0.92 arcsec and a limiting magnitude of g = 19.91 AB mag and
z=18.20 AB mag at 5{\sigma} with 180 sec exposure time for point source
detection.Comment: 8 pages, 9 figures, 4 tables, published in 2017 June issue of JKA
Depth Fields: Extending Light Field Techniques to Time-of-Flight Imaging
A variety of techniques such as light field, structured illumination, and
time-of-flight (TOF) are commonly used for depth acquisition in consumer
imaging, robotics and many other applications. Unfortunately, each technique
suffers from its individual limitations preventing robust depth sensing. In
this paper, we explore the strengths and weaknesses of combining light field
and time-of-flight imaging, particularly the feasibility of an on-chip
implementation as a single hybrid depth sensor. We refer to this combination as
depth field imaging. Depth fields combine light field advantages such as
synthetic aperture refocusing with TOF imaging advantages such as high depth
resolution and coded signal processing to resolve multipath interference. We
show applications including synthesizing virtual apertures for TOF imaging,
improved depth mapping through partial and scattering occluders, and single
frequency TOF phase unwrapping. Utilizing space, angle, and temporal coding,
depth fields can improve depth sensing in the wild and generate new insights
into the dimensions of light's plenoptic function.Comment: 9 pages, 8 figures, Accepted to 3DV 201
Optical Synoptic Telescopes: New Science Frontiers
Over the past decade, sky surveys such as the Sloan Digital Sky Survey have
proven the power of large data sets for answering fundamental astrophysical
questions. This observational progress, based on a synergy of advances in
telescope construction, detectors, and information technology, has had a
dramatic impact on nearly all fields of astronomy, and areas of fundamental
physics. The next-generation instruments, and the surveys that will be made
with them, will maintain this revolutionary progress. The hardware and
computational technical challenges and the exciting science opportunities are
attracting scientists and engineers from astronomy, optics, low-light-level
detectors, high-energy physics, statistics, and computer science. The history
of astronomy has taught us repeatedly that there are surprises whenever we view
the sky in a new way. This will be particularly true of discoveries emerging
from a new generation of sky surveys. Imaging data from large ground-based
active optics telescopes with sufficient etendue can address many scientific
missions simultaneously. These new investigations will rely on the statistical
precision obtainable with billions of objects. For the first time, the full sky
will be surveyed deep and fast, opening a new window on a universe of faint
moving and distant exploding objects as well as unraveling the mystery of dark
energy.Comment: 12 pages, 7 figure
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