973 research outputs found
Montage: a grid portal and software toolkit for science-grade astronomical image mosaicking
Montage is a portable software toolkit for constructing custom, science-grade
mosaics by composing multiple astronomical images. The mosaics constructed by
Montage preserve the astrometry (position) and photometry (intensity) of the
sources in the input images. The mosaic to be constructed is specified by the
user in terms of a set of parameters, including dataset and wavelength to be
used, location and size on the sky, coordinate system and projection, and
spatial sampling rate. Many astronomical datasets are massive, and are stored
in distributed archives that are, in most cases, remote with respect to the
available computational resources. Montage can be run on both single- and
multi-processor computers, including clusters and grids. Standard grid tools
are used to run Montage in the case where the data or computers used to
construct a mosaic are located remotely on the Internet. This paper describes
the architecture, algorithms, and usage of Montage as both a software toolkit
and as a grid portal. Timing results are provided to show how Montage
performance scales with number of processors on a cluster computer. In
addition, we compare the performance of two methods of running Montage in
parallel on a grid.Comment: 16 pages, 11 figure
Ultra-deep Large Binocular Camera U-band Imaging of the GOODS-North Field: Depth vs. Resolution
We present a study of the trade-off between depth and resolution using a
large number of U-band imaging observations in the GOODS-North field
(Giavalisco et al. 2004) from the Large Binocular Camera (LBC) on the Large
Binocular Telescope (LBT). Having acquired over 30 hours of data (315 images
with 5-6 mins exposures), we generated multiple image mosaics, starting with
the best atmospheric seeing images (FWHM 0.8"), which constitute
10% of the total data set. For subsequent mosaics, we added in data with
larger seeing values until the final, deepest mosaic included all images with
FWHM 1.8" (94% of the total data set). From the mosaics, we
made object catalogs to compare the optimal-resolution, yet shallower image to
the lower-resolution but deeper image. We show that the number counts for both
images are 90% complete to . Fainter than
27, the object counts from the optimal-resolution image start to
drop-off dramatically (90% between = 27 and 28 mag), while the deepest
image with better surface-brightness sensitivity ( 32
mag arcsec) show a more gradual drop (10% between 27
and 28 mag). For the brightest galaxies within the GOODS-N field, structure and
clumpy features within the galaxies are more prominent in the
optimal-resolution image compared to the deeper mosaics. Finally, we find - for
220 brighter galaxies with 24 mag - only marginal
differences in total flux between the optimal-resolution and lower-resolution
light-profiles to 32 mag arcsec. In only 10% of
the cases are the total-flux differences larger than 0.5 mag. This helps
constrain how much flux can be missed from galaxy outskirts, which is important
for studies of the Extragalactic Background Light.Comment: 24 pages, 14 figures, submitted to PASP, comments welcom
Are tiled display walls needed for astronomy?
Clustering commodity displays into a Tiled Display Wall (TDW) provides a
cost-effective way to create an extremely high resolution display, capable of
approaching the image sizes now gen- erated by modern astronomical instruments.
Astronomers face the challenge of inspecting single large images, many similar
images simultaneously, and heterogeneous but related content. Many research
institutions have constructed TDWs on the basis that they will improve the
scientific outcomes of astronomical imagery. We test this concept by presenting
sample images to astronomers and non- astronomers using a standard desktop
display (SDD) and a TDW. These samples include standard English words, wide
field galaxy surveys and nebulae mosaics from the Hubble telescope. These
experiments show that TDWs provide a better environment for searching for small
targets in large images than SDDs. It also shows that astronomers tend to be
better at searching images for targets than non-astronomers, both groups are
generally better when employing physical navigation as opposed to virtual
navigation, and that the combination of two non-astronomers using a TDW rivals
the experience of a single astronomer. However, there is also a large
distribution in aptitude amongst the participants and the nature of the content
also plays a significant role is success.Comment: 19 pages, 15 figures, accepted for publication in PASA (Publications
of the Astronomical Society of Australia
Software Estimates Costs of Testing Rocket Engines
Simulation-Based Cost Model (SiCM), a discrete event simulation developed in Extend , simulates pertinent aspects of the testing of rocket propulsion test articles for the purpose of estimating the costs of such testing during time intervals specified by its users. A user enters input data for control of simulations; information on the nature of, and activity in, a given testing project; and information on resources. Simulation objects are created on the basis of this input. Costs of the engineering-design, construction, and testing phases of a given project are estimated from numbers and labor rates of engineers and technicians employed in each phase, the duration of each phase; costs of materials used in each phase; and, for the testing phase, the rate of maintenance of the testing facility. The three main outputs of SiCM are (1) a curve, updated at each iteration of the simulation, that shows overall expenditures vs. time during the interval specified by the user; (2) a histogram of the total costs from all iterations of the simulation; and (3) table displaying means and variances of cumulative costs for each phase from all iterations. Other outputs include spending curves for each phase
Immersive and Collaborative Data Visualization Using Virtual Reality Platforms
Effective data visualization is a key part of the discovery process in the
era of big data. It is the bridge between the quantitative content of the data
and human intuition, and thus an essential component of the scientific path
from data into knowledge and understanding. Visualization is also essential in
the data mining process, directing the choice of the applicable algorithms, and
in helping to identify and remove bad data from the analysis. However, a high
complexity or a high dimensionality of modern data sets represents a critical
obstacle. How do we visualize interesting structures and patterns that may
exist in hyper-dimensional data spaces? A better understanding of how we can
perceive and interact with multi dimensional information poses some deep
questions in the field of cognition technology and human computer interaction.
To this effect, we are exploring the use of immersive virtual reality platforms
for scientific data visualization, both as software and inexpensive commodity
hardware. These potentially powerful and innovative tools for multi dimensional
data visualization can also provide an easy and natural path to a collaborative
data visualization and exploration, where scientists can interact with their
data and their colleagues in the same visual space. Immersion provides benefits
beyond the traditional desktop visualization tools: it leads to a demonstrably
better perception of a datascape geometry, more intuitive data understanding,
and a better retention of the perceived relationships in the data.Comment: 6 pages, refereed proceedings of 2014 IEEE International Conference
on Big Data, page 609, ISBN 978-1-4799-5665-
Spitzer infrared spectrometer 16μm observations of the GOODS fields
We present Spitzer 16μm imaging of the Great Observatories Origins Deep Survey (GOODS) fields. We survey
150 arcmin^2 in each of the two GOODS fields (North and South), to an average 3σ depth of 40 and 65 μJy,
respectively. We detect ~1300 sources in both fields combined. We validate the photometry using the 3–24μm
spectral energy distribution of stars in the fields compared to Spitzer spectroscopic templates. Comparison with
ISOCAM and AKARI observations in the same fields shows reasonable agreement, though the uncertainties are
large. We provide a catalog of photometry, with sources cross-correlated with available Spitzer, Chandra, and
Hubble Space Telescope data. Galaxy number counts show good agreement with previous results from ISOCAM
and AKARI with improved uncertainties. We examine the 16–24μm flux ratio and find that for most sources it
lies within the expected locus for starbursts and infrared luminous galaxies. A color cut of S_(16)/S_(24) > 1.4 selects
mostly sources which lie at 1.1 < z < 1.6, where the 24μm passband contains both the redshifted 9.7 μm silicate
absorption and the minimum between polycyclic aromatic hydrocarbon emission peaks. We measure the integrated
galaxy light of 16μm sources and find a lower limit on the galaxy contribution to the extragalactic background
light at this wavelength to be 2.2 ± 0.2 nW m^(−2) sr^(−1)
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A new camera for high-resolution infrared imaging of works of art
A new camera – SIRIS (scanning infrared imaging system) – developed at the National Gallery in London allows high-resolution images to be made in the near infrared region (900–1700 nm). The camera is based on a commercially available 320 × 256 pixel indium gallium arsenide area array sensor. This relatively small sensor is moved across the focal plane of the camera using two orthogonal translation stages to give images of c. 5000 × 5000 pixels. The main advantages of the SIRIS camera over scanning infrared devices or sequential image capture and mosaic assembly are its comparative portability and rapid image acquisition – making a 5000 × 5000 pixel image takes less than 20 minutes. The SIRIS camera can operate at a range of resolutions; from around 2.5 pixels per millimetre over an area of up to 2 × 2 m to 10 pixels per millimetre when examining an area measuring 0.5 × 0.5 m. The development of the mechanical, optical and electronic components of the camera, including the design of a new lens, is described. The software used to control image capture and to assemble the individual frames into a seamless mosaic image is mentioned. The camera was designed primarily to examine underdrawings in paintings; preliminary results from test targets and paintings imaged in situ are presented and the quality of the images compared with those from other cameras currently used for this application
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