Zobrazeno 1 - 10
of 4 691
pro vyhledávání: '"Green, A F"'
Autor:
Murphy, Brian P., Opitom, Cyrielle, Snodgrass, Colin, Knight, Matthew M., Li, Jian-Yang, Chabot, Nancy L., Rivkin, Andrew S., Green, Simon F., Guetzoyan, Paloma, Gardener, Daniel, de León, Julia
We have observed the Didymos-Dimorphos binary system with the MUSE integral field unit spectrograph mounted at the Very Large Telescope (VLT) pre and post-DART impact, and captured the ensuing ejecta cone, debris cloud, and tails at sub-arcsecond res
Externí odkaz:
http://arxiv.org/abs/2311.09977
The aim of this study was to develop a model to accurately identify corresponding points between organ segmentations of different patients for radiotherapy applications. A model for simultaneous correspondence and interpolation estimation in 3D shape
Externí odkaz:
http://arxiv.org/abs/2309.14269
Autor:
Dover, L., Lowry, S. C., Rożek, A., Rozitis, B., Jackson, S. L., Zegmott, T., Krugly, Yu. N., Belskaya, I. N., Fitzsimmons, A., Green, S. F., Snodgrass, C., Weissman, P. R., Brozović, M., Benner, L. A. M., Busch, M. W., Ayvazian, V. R., Chiorny, V., Inasaridze, R. Ya., Krugov, M., Mykhailova, S., Reva, I., Hibbert, J.
We present a physical model and spin-state analysis of the potentially hazardous asteroid (23187) 2000 PN9. As part of a long-term campaign to make direct detections of the YORP effect, we collected optical lightcurves of the asteroid between 2006 an
Externí odkaz:
http://arxiv.org/abs/2308.09630
Autor:
Ha, Trung, Dix, Cooper, Matthews, Brandon M., Shemmer, Ohad, Brotherton, Michael S., Myers, Adam, Richards, Gordon T., Maithil, Jaya, Anderson, Scott F., Brandt, W. N., Diamond-Stanic, Aleksandar M., Fan, Xiaohui, Gallagher, Sarah C., Green, Richard F., Lira, Paulina, Luo, Bin, Netzer, Hagai, Plotkin, Richard, Runnoe, Jessie C., Schneider, Donald P., Strauss, Michael A., Trakhtenbrot, Benny, Wu, Jianfeng
Weak emission-line quasars (WLQs) are a subset of Type 1 quasars that exhibit extremely weak Ly$\alpha +$N V $\lambda$1240 and/or C IV $\lambda$1549 emission lines. We investigate the relationship between emission-line properties and accretion rate f
Externí odkaz:
http://arxiv.org/abs/2304.04783
Autor:
Donaldson, Abbie, Kokotanekova, Rosita, Rożek, Agata, Snodgrass, Colin, Gardener, Daniel, Green, Simon F., Masoumzadeh, Nafiseh, Robinson, James
Comet 162P/Siding Spring is a large Jupiter-family comet with extensive archival lightcurve data. We report new r-band nucleus lightcurves for this comet, acquired in 2018, 2021 and 2022. With the addition of these lightcurves, the phase angles at wh
Externí odkaz:
http://arxiv.org/abs/2302.12141
Generalised Automatic Anatomy Finder (GAAF): A general framework for 3D location-finding in CT scans
We present GAAF, a Generalised Automatic Anatomy Finder, for the identification of generic anatomical locations in 3D CT scans. GAAF is an end-to-end pipeline, with dedicated modules for data pre-processing, model training, and inference. At it's cor
Externí odkaz:
http://arxiv.org/abs/2209.06042
Abdominal organ segmentation is a difficult and time-consuming task. To reduce the burden on clinical experts, fully-automated methods are highly desirable. Current approaches are dominated by Convolutional Neural Networks (CNNs) however the computat
Externí odkaz:
http://arxiv.org/abs/2207.10446
Autor:
Rożek, Agata, Lowry, Stephen C., Rozitis, Benjamin, Dover, Lord R., Taylor, Patrick A., Virkki, Anne, Green, Simon F., Snodgrass, Colin, Fitzsimmons, Alan, Campbell-White, Justyn, Sajadian, Sedighe, Bozza, Valerio, Burgdorf, Martin J., Dominik, Martin, Jaimes, R. Figuera, Hinse, Tobias C., Hundertmark, Markus, Jørgensen, Uffe G., Longa-Peña, Penélope, Rabus, Markus, Rahvar, Sohrab, Skottfelt, Jesper, Southworth, John
Between 2010 and 2017 we have collected new optical and radar observations of the potentially hazardous asteroid (2102)~Tantalus from the ESO NTT and Danish telescopes at the La Silla Observatory and from the Arecibo planetary radar. The object appea
Externí odkaz:
http://arxiv.org/abs/2206.14306
Automatic segmentation of organs-at-risk (OARs) in CT scans using convolutional neural networks (CNNs) is being introduced into the radiotherapy workflow. However, these segmentations still require manual editing and approval by clinicians prior to c
Externí odkaz:
http://arxiv.org/abs/2206.13317