Using machine learning for discovery in synoptic
survey imaging data.
Not exact matches
For example, Nick Cross, a staff scientist for the University of Edinburgh's Institute for Astronomy in the United Kingdom, develops software to process and archive
imaging and other
data from large astronomical
surveys.
Based on a long term national
survey of 9,802 GPs between 2002 and 2012, the report draws on
data from more than 980,000 GP - patient encounter records to assess the extent to which GP's order tests in line with diagnostic
imaging guidelines.
The initial transit signal was identified in KELT - North
survey data, and the planetary nature of the occulter was established using a combination of follow - up photometry, high - resolution
imaging, high - resolution spectroscopy, and precise radial velocity measurements.
We identified the initial transit signal in the KELT - North
survey data and established the planetary nature of the companion through precise follow - up photometry, high - resolution spectroscopy, precise radial velocity measurements, and high - resolution adaptive optics
imaging.
Data obtained for this project includes a deep Chandra
survey of the Galactic Bulge; deep, high resolution IR imaging from VLT / ISAAC, CTIO / ISPI, and the UKIDSS Galactic Plane Survey (GPS);... ▽ More I describe the IR and X-ray observational campaign we have undertaken for the purpose of determining the nature of the faint discrete X-ray source population discovered by Chandra in the Galactic Center
survey of the Galactic Bulge; deep, high resolution IR
imaging from VLT / ISAAC, CTIO / ISPI, and the UKIDSS Galactic Plane
Survey (GPS);... ▽ More I describe the IR and X-ray observational campaign we have undertaken for the purpose of determining the nature of the faint discrete X-ray source population discovered by Chandra in the Galactic Center
Survey (GPS);... ▽ More I describe the IR and X-ray observational campaign we have undertaken for the purpose of determining the nature of the faint discrete X-ray source population discovered by Chandra in the Galactic Center (GC).
A new administration dose index for optimization of acquisition time at PET
imaging using count
data using an ionization type
survey meter.
Data obtained for this project includes a deep Chandra
survey of the Galactic Bulge; deep, high resolution IR imaging from VLT / ISAAC, CTIO / ISPI, and the UKIDSS Galactic Plane Survey (GPS); and IR spectroscopy from VLT / ISAAC and IRTF /
survey of the Galactic Bulge; deep, high resolution IR
imaging from VLT / ISAAC, CTIO / ISPI, and the UKIDSS Galactic Plane
Survey (GPS); and IR spectroscopy from VLT / ISAAC and IRTF /
Survey (GPS); and IR spectroscopy from VLT / ISAAC and IRTF / SpeX.
Initial
data came from the TRENDS (TaRgetting bENchmark - objects with Doppler Spectroscopy) high - contrast
imaging survey that uses adaptive optics and related technologies to target older, faint objects orbiting nearby stars, and precise measurements were made at the W. M. Keck Observatory on the summit of Mauna Kea, Hawaii.
The Legacy
Surveys are producing an inference model catalog of the sky from a set of optical and infrared
imaging data, comprising 14,000 deg ² of extragalactic sky visible from the northern hemisphere in three optical bands (\ (g, r, z \)-RRB- and four infrared bands.
Abecasis leads the University's Biostatistics department, which is training a new generation of scientists and making contributions to the statistical and computational machinery for the analysis of diverse types of biomedical
data — including not only genomic
data but also electronic health records, registry
data and health
surveys, a variety of
imaging data types, and environmental exposures, among others.
Implemented as a Zooniverse (Simpson, Page & De Roure 2014) project, it is designed to provide a gravitational lens discovery service to
survey teams looking for lenses in wide - field
imaging data.
We invite
survey teams searching for lenses in their wide - field
imaging data to contact us if they would like our help.
Taking models of galaxies from the Hubble Space Telescope Ultra Deep Field (HUDF) and applying a correction for the HUDF point spread function we generate lensed simulations of deep, optical
imaging data from Hubble's Advanced Camera for
Surveys (ACS), with realistic galaxy morphologies.
Our investigators can respond quickly to your needs, performing a
survey of the accident site, vehicle inspections including restraints, seats and tire / wheels, downloading or
imaging the crash
data from the «black box», and documenting or preserving evidence.