42,309 research outputs found
Earth Resources Technology Satellite: US standard catalog No. U-12
To provide dissemination of information regarding the availability of Earth Resources Technology Satellite (ERTS) imagery, a U.S. Standard Catalog is published on a monthly schedule. The catalogs identify imagery which has been processed and input to the data files during the preceding month. The U.S. Standard Catalog includes imagery covering the Continental United States, Alaska, and Hawaii. As a supplement to these catalogs, an inventory of ERTS imagery on 16 millimeter microfilm is available. The catalogs consist of four parts: (1) annotated maps which graphically depict the geographic areas covered by the imagery listed in the current catalog, (2) a computer-generated listing organized by observation identification number (D) with pertinent information on each image, (3) a computer listing of observations organized by longitude and latitude, and (4) observations which have had changes made in their catalog information since the original entry in the data base
Processing Images from the Zwicky Transient Facility
The Zwicky Transient Facility is a new robotic-observing program, in which a
newly engineered 600-MP digital camera with a pioneeringly large field of view,
47~square degrees, will be installed into the 48-inch Samuel Oschin Telescope
at the Palomar Observatory. The camera will generate ~petabyte of raw
image data over three years of operations. In parallel related work, new
hardware and software systems are being developed to process these data in real
time and build a long-term archive for the processed products. The first public
release of archived products is planned for early 2019, which will include
processed images and astronomical-source catalogs of the northern sky in the
and bands. Source catalogs based on two different methods will be
generated for the archive: aperture photometry and point-spread-function
fitting.Comment: 6 pages, 4 figures, submitted to RTSRE Proceedings (www.rtsre.org
The Allen Telescope Array Twenty-centimeter Survey -- A 700-Square-Degree, Multi-Epoch Radio Dataset -- II: Individual Epoch Transient Statistics
We present our second paper on the Allen Telescope Array Twenty-centimeter
Survey (ATATS), a multi-epoch, ~700 sq. deg. radio image and catalog at 1.4
GHz. The survey is designed to detect rare, bright transients as well as to
commission the ATA's wide-field survey capabilities. ATATS explores the
challenges of multi-epoch transient and variable source surveys in the domain
of dynamic range limits and changing (u,v) coverage.
Here we present images made using data from the individual epochs, as well as
a revised image combining data from all ATATS epochs. The combined image has
RMS noise 3.96 mJy / beam, with a circular beam of 150 arcsec FWHM. The
catalog, generated using a false detection rate algorithm, contains 4984
sources, and is >90% complete to 37.9 mJy. The catalogs generated from snapshot
images of the individual epochs contain between 1170 and 2019 sources over the
564 sq. deg. area in common to all epochs. The 90% completeness limits of the
single epoch catalogs range from 98.6 to 232 mJy.
We compare the catalog generated from the combined image to those from
individual epochs, and from the NRAO VLA Sky Survey (NVSS), a legacy survey at
the same frequency. We are able to place new constraints on the transient
population: fewer than 6e-4 transients / sq. deg., for transients brighter than
350 mJy with characteristic timescales of minutes to days. This strongly rules
out an astronomical origin for the ~1 Jy sources reported by Matsumura et al.
(2009), based on their stated rate of 3.1e-3 / sq. deg.Comment: 28 pages, 12 figures, ApJ accepte
ESO Imaging Survey: infrared observations of CDF-S and HDF-S
This paper presents infrared data obtained from observations carried out at
the ESO 3.5m New Technology Telescope (NTT) of the Hubble Deep Field South
(HDF-S) and the Chandra Deep Field South (CDF-S). These data were taken as part
of the ESO Imaging Survey (EIS) program, a public survey conducted by ESO to
promote follow-up observations with the VLT. In the HDF-S field the infrared
observations cover an area of ~53 square arcmin, encompassing the HST WFPC2 and
STIS fields, in the JHKs passbands. The seeing measured in the final stacked
images ranges from 0.79" to 1.22" and the median limiting magnitudes (AB
system, 2" aperture, 5sigma detection limit) are J_AB~23.0, H_AB~22.8 and
K_AB~23.0 mag. Less complete data are also available in JKs for the adjacent
HST NICMOS field. For CDF-S, the infrared observations cover a total area of
\~100 square arcmin, reaching median limiting magnitudes (as defined above) of
J_AB~23.6 and K_AB~22.7 mag. For one CDF-S field H-band data are also
available. This paper describes the observations and presents the results of
new reductions carried out entirely through the un-supervised, high-throughput
EIS Data Reduction System and its associated EIS/MVM C++-based image processing
library developed, over the past 5 years, by the EIS project and now publicly
available. The paper also presents source catalogs extracted from the final
co-added images which are used to evaluate the scientific quality of the survey
products, and hence the performance of the software. This is done comparing the
results obtained in the present work with those obtained by other authors from
independent data and/or reductions carried out with different software packages
and techniques. The final science-grade catalogs and co-added images are
available at CDS.Comment: Accepted for publication in A&A, 13 pages, 12 figures; a full
resolution version of the paper is available from
http://www.astro.ku.dk/~lisbeth/eisdata/papers/4528.pdf ; related catalogs
and images are available through http://www.astro.ku.dk/~lisbeth/eisdata
The Hyper Suprime-Cam Software Pipeline
In this paper, we describe the optical imaging data processing pipeline
developed for the Subaru Telescope's Hyper Suprime-Cam (HSC) instrument. The
HSC Pipeline builds on the prototype pipeline being developed by the Large
Synoptic Survey Telescope's Data Management system, adding customizations for
HSC, large-scale processing capabilities, and novel algorithms that have since
been reincorporated into the LSST codebase. While designed primarily to reduce
HSC Subaru Strategic Program (SSP) data, it is also the recommended pipeline
for reducing general-observer HSC data. The HSC pipeline includes high level
processing steps that generate coadded images and science-ready catalogs as
well as low-level detrending and image characterizations.Comment: 39 pages, 21 figures, 2 tables. Submitted to Publications of the
Astronomical Society of Japa
Inferring the photometric and size evolution of galaxies from image simulations
Current constraints on models of galaxy evolution rely on morphometric
catalogs extracted from multi-band photometric surveys. However, these catalogs
are altered by selection effects that are difficult to model, that correlate in
non trivial ways, and that can lead to contradictory predictions if not taken
into account carefully. To address this issue, we have developed a new approach
combining parametric Bayesian indirect likelihood (pBIL) techniques and
empirical modeling with realistic image simulations that reproduce a large
fraction of these selection effects. This allows us to perform a direct
comparison between observed and simulated images and to infer robust
constraints on model parameters. We use a semi-empirical forward model to
generate a distribution of mock galaxies from a set of physical parameters.
These galaxies are passed through an image simulator reproducing the
instrumental characteristics of any survey and are then extracted in the same
way as the observed data. The discrepancy between the simulated and observed
data is quantified, and minimized with a custom sampling process based on
adaptive Monte Carlo Markov Chain methods. Using synthetic data matching most
of the properties of a CFHTLS Deep field, we demonstrate the robustness and
internal consistency of our approach by inferring the parameters governing the
size and luminosity functions and their evolutions for different realistic
populations of galaxies. We also compare the results of our approach with those
obtained from the classical spectral energy distribution fitting and
photometric redshift approach.Our pipeline infers efficiently the luminosity
and size distribution and evolution parameters with a very limited number of
observables (3 photometric bands). When compared to SED fitting based on the
same set of observables, our method yields results that are more accurate and
free from systematic biases.Comment: 24 pages, 12 figures, accepted for publication in A&
Image retrieval and processing system version 2.0 development work
The Image Retrieval and Processing System (IRPS) is a software package developed at Washington University and used by the NASA Regional Planetary Image Facilities (RPIF's). The IRPS combines data base management and image processing components to allow the user to examine catalogs of image data, locate the data of interest, and perform radiometric and geometric calibration of the data in preparation for analysis. Version 1.0 of IRPS was completed in Aug. 1989 and was installed at several IRPS's. Other RPIF's use remote logins via NASA Science Internet to access IRPS at Washington University. Work was begun on designing and population a catalog of Magellan image products that will be part of IRPS Version 2.0, planned for release by the end of calendar year 1991. With this catalog, a user will be able to search by orbit and by location for Magellan Basic Image Data Records (BIDR's), Mosaicked Image Data Records (MIDR's), and Altimetry-Radiometry Composite Data Records (ARCDR's). The catalog will include the Magellan CD-ROM volume, director, and file name for each data product. The image processing component of IRPS is based on the Planetary Image Cartography Software (PICS) developed by the U.S. Geological Survey, Flagstaff, Arizona. To augment PICS capabilities, a set of image processing programs were developed that are compatible with PICS-format images. This software includes general-purpose functions that PICS does not have, analysis and utility programs for specific data sets, and programs from other sources that were modified to work with PICS images. Some of the software will be integrated into the Version 2.0 release of IRPS. A table is presented that lists the programs with a brief functional description of each
Deep u*- and g-band Imaging of the Spitzer Space Telescope First Look Survey Field : Observations and Source Catalogs
We present deep u*-, and g-band images taken with the MegaCam on the 3.6 m
Canada-France-Hawaii Telescope (CFHT) to support the extragalactic component of
the Spitzer First Look Survey (hereafter, FLS). In this paper we outline the
observations, present source catalogs and characterize the completeness,
reliability, astrometric accuracy and number counts of this dataset. In the
central 1 deg2 region of the FLS, we reach depths of g~26.5 mag, and u*~26.2
mag (AB magnitude, 5 detection over a 3" aperture) with ~4 hours of
exposure time for each filter. For the entire FLS region (~5 deg2 coverage), we
obtained u*-band images to the shallower depth of u*=25.0--25.4 mag (5,
3" aperture). The average seeing of the observations is 0.85" for the central
field, and ~1.00" for the other fields. Astrometric calibration of the fields
yields an absolute astrometric accuracy of 0.15" when matched with the SDSS
point sources between 18<g<22. Source catalogs have been created using
SExtractor. The catalogs are 50% complete and greater than 99.3% reliable down
to g~26.5 mag and u*~26.2 mag for the central 1 deg2 field. In the shallower
u*-band images, the catalogs are 50% complete and 98.2% reliable down to
24.8--25.4 mag. These images and source catalogs will serve as a useful
resource for studying the galaxy evolution using the FLS data.Comment: 15 pages, 16 figure
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