Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Samuel W. Skillman"'
Autor:
Sunny Gonnabathula, Xander Rudelis, Samuel W. Skillman, Michael S. Warren, Justin Poehnelt, Ryan Keisler
We present a system for performing visual search over billions of aerial and satellite images. The purpose of visual search is to find images that are visually similar to a query image. We define visual similarity using 512 abstract visual features g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a821d1e12fe1da171d7fad3015c5ec47
Publikováno v:
Monthly Notices of the Royal Astronomical Society. 457:1076-1088
We present the nonlinear 2D galaxy power spectrum, $P(k,\mu)$, in redshift space, measured from the Dark Sky simulations, using galaxy catalogs constructed with both halo occupation distribution and subhalo abundance matching methods, chosen to repre
Autor:
Carly Beneke, Mark M. Mathis, Daniela I. Moody, David Nicholaeff, Steven P. Brumby, Justin Poehnelt, Ryan Keisler, Michael S. Warren, Rick Chartrand, Samuel W. Skillman
Publikováno v:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV.
Publikováno v:
MultiTemp
Synthetic aperture radar (SAR) can penetrate clouds, rendering these data particularly useful for mapping land cover and land use in tropical areas. In this study, we leverage the image processing and analysis platform built at Descartes Labs to anal
Autor:
Michael S. Warren, Daniela I. Moody, Carly Mertes, Rick Chartrand, Steven P. Brumby, Nathan Longbotham, Ryan Keisler, Samuel W. Skillman
Publikováno v:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIII.
The increase in performance, availability, and coverage of multispectral satellite sensor constellations has led to a drastic increase in data volume and data rate. Multi-decadal remote sensing datasets at the petabyte scale are now available in comm
Autor:
Mark M. Mathis, Steven P. Brumby, Rick Chartrand, Tim Kelton, Michael S. Warren, Ryan Keisler, Samuel W. Skillman, Daniela I. Moody
Publikováno v:
ACSSC
The recent computing performance revolution has driven improvements in sensor, communication, and storage technology. Multi-decadal remote sensing datasets at the petabyte scale are now available in commercial clouds, with new satellite constellation
Autor:
Eric D. Chisolm, Daniela I. Moody, Samuel W. Skillman, Michael S. Warren, Steven P. Brumby, Ryan Keisler, Dana E. Bauer
Publikováno v:
SSIAI
The increase in number of deployed satellite constellations and the improvement in sensing capabilities have led to large volumes of data with a wide range of temporal and spatial coverage. The data analysis capability, however, has been lagging, and
Autor:
Tesla E. Jeltema, Jack O. Burns, Michael L. Norman, Samuel W. Skillman, Brian W. O'Shea, Eric J. Hallman, Britton D. Smith
Publikováno v:
The Astrophysical Journal. 725:1053-1068
We examine the incidence of cold fronts in a large sample of galaxy clusters extracted from a (512h^-1 Mpc) hydrodynamic/N-body cosmological simulation with adiabatic gas physics computed with the Enzo adaptive mesh refinement code. This simulation c
Publikováno v:
The Astrophysical Journal. 721:1105-1112
Recently, Suzaku has produced temperature and entropy profiles, along with profiles of gas density, gas fraction, and mass, for multiple galaxy clusters out to ~r_200 (~= virial radius). In this paper, we compare these novel X-ray observations with r
Publikováno v:
The Astrophysical Journal. 689:1063-1077
We present new results characterizing cosmological shocks within adaptive mesh refinement N-Body/hydrodynamic simulations that are used to predict non-thermal components of large-scale structure. This represents the first study of shocks using adapti