Results 71 to 80 of about 374,157 (297)

Astronomical optical interferometry, II: Astrophysical results [PDF]

Serbian Astronomical Journal, 2011
Optical interferometry is entering a new age with several ground- based long-baseline observatories now making observations of unprecedented spatial resolution.
Jankov S.
doaj   +1 more source

PROCESSING OF SIMULATED AND EXPERIMENTAL IMAGES OF CLOSELY SPACED BINARY STARS USING SPECKLE INTERFEROMETRY [PDF]

, 2016
Theory and methods of processing speckle interferometry data from close visual binary stars are presented and implemented. The effects of the optical systems used for observing close visual binary stars are explained and simulated from both the ...
Smidth, Niels
core   +1 more source

Orbits of Six Triple Systems

The Astronomical Journal
Joint analysis of position measurements and radial velocities of six triple stellar systems is conducted to determine their inner and/or outer orbits. Accumulation of such data is needed to study the architecture of stellar hierarchies and its relation ...
Andrei Tokovinin
doaj   +1 more source

Evaluation of AI‐based auto‐contouring tools in radiotherapy: A single‐institution study

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background Accurate delineation of organs at risk (OARs) is crucial yet time‐consuming in the radiotherapy treatment planning workflow. Modern artificial intelligence (AI) technologies had made automation of OAR contouring feasible. This report details a single institution's experience in evaluating two commercial auto‐contouring software ...
Tingyu Wang, James Tam, Thomas Chum, Cyril Tai, Deborah C. Marshall, Michael Buckstein, Jerry Liu, Sheryl Green, Robert D. Stewart, Tian Liu, Ming Chao   +10 more
wiley   +1 more source

Performance of the SOAR Speckle Instrument

The Astronomical Journal
The High Resolution Camera (HRCam) speckle imager at the 4.1 m Southern Astrophysical Research telescope is a highly productive instrument that has accumulated about 40K observations to date.
Andrei Tokovinin
doaj   +1 more source

Enhanced dose prediction for head and neck cancer artificial intelligence‐driven radiotherapy based on transfer learning with limited training data

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Training deep learning dose prediction models for the latest cutting‐edge radiotherapy techniques, such as AI‐based nodal radiotherapy (AINRT) and Daily Adaptive AI‐based nodal radiotherapy (DA‐AINRT), is challenging due to limited data.
Hui‐Ju Wang, Austen Maniscalco, David Sher, Mu‐Han Lin, Steve Jiang, Dan Nguyen   +5 more
wiley   +1 more source

Radial Velocity Studies of Close Binary Stars. XII [PDF]

, 2006
Radial-velocity measurements and sine-curve fits to the orbital radial velocity variations are presented for ten close binary systems: OO Aql, CC Com, V345 Gem, XY Leo, AM Leo, V1010 Oph, V2612 Oph, XX Sex, W UMa, and XY UMa. Most of these binaries have been observed spectroscopically before, but our data are of higher quality and consistency than in ...
arxiv   +1 more source

A Survey for Young Spectroscopic Binary K7-M4 Stars in Ophiuchus [PDF]

Astrophys.J.657:338-346,2007, 2006
This paper describes a high-resolution, infrared spectroscopic survey of young, low-mass stars designed to identify and characterize pre-main-sequence spectroscopic binaries. This is the first large infrared radial velocity survey of very young stars to date.
arxiv   +1 more source

Detecting New Visual Binaries in Gaia DR3 with Gaia and Two Micron All Sky Survey (2MASS) Photometry. II. Speckle Observations of 16 Low-separation Systems

The Astronomical Journal
Here we present speckle observations of 16 low-separation ( s < 30 au) high-probability candidate binaries from the catalog by Medan et al., where secondaries typically lack astrometric solutions in Gaia. From these speckle observations, we find a second
Ilija Medan, Sébastien Lépine, Zachary Hartman, Keivan G. Stassun   +3 more
doaj   +1 more source

A review of artificial intelligence in brachytherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy.
Jingchu Chen, Richard L. J. Qiu, Tonghe Wang, Shadab Momin, Xiaofeng Yang   +4 more
wiley   +1 more source