نتایج جستجو برای: astronomical units

تعداد نتایج: 179278  

Journal: :Science 2004
Marshall D Perrin James R Graham Paul Kalas James P Lloyd Claire E Max Donald T Gavel Deanna M Pennington Elinor L Gates

We have used laser guide star adaptive optics and a near-infrared dual-channel imaging polarimeter to observe light scattered in the circumstellar environment of Herbig Ae/Be stars on scales of 100 to 300 astronomical units. We revealed a strongly polarized, biconical nebula 10 arc seconds (6000 astronomical units) in diameter around the star LkHalpha 198 and also observed a polarized jet-like ...

Journal: :Science 1996
D Jewitt M Senay H Matthews

The recently discovered comet Hale-Bopp (C/1995 01) sports a bright dust coma even though it is still far from the sun (presently 6 astronomical units). This feature has attracted considerable interest in the public and scientific arenas. The comet is headed toward perihelion at 0.92 astronomical unit in April 1997 and is widely expected to then become a spectacular naked-eye comet. With millim...

2017
J. Kluska F. Malbet J.-P. Berger M. Benisty B. Lazareff J.-B. Le Bouquin F. Baron C. Dominik A. Isella A. Juhasz S. Kraus R. Lachaume F. Ménard R. Millan-Gabet J. Monnier C. Pinte F. Soulez M. Tallon

Optical interferometry imaging is designed to help us to reveal complex astronomical sources without a prior model. Among these complex objects are the young stars and their environments, which have a typical morphology with a point-like source, surrounded by circumstellar material with unknown morphology. To image them, we have developed a numerical method that removes completely the stellar p...

Journal: :Physical Review E 2021

We investigate spectral properties of turbulence in the solar wind that is a weakly collisional astrophysical plasma, accessible to situ observations. Using Helios search coil magnetometer measurements fast wind, inner heliosphere, we focus on turbulent magnetic fluctuations at scales smaller than ion characteristic scales, so-called kinetic plasma turbulence. At such small show power spectra b...

2009
Thomas Serafini Riccardo Zanella Luca Zanni

Optimization-based approaches for image deblurring and denoising on Graphics Processing Units (GPU) are considered. In particular, a new GPU implementation of a recent gradient projection method for edge-preserving removal of Poisson noise is presented. The speedups over standard CPU implementations are evaluated on both synthetic data and astronomical and medical imaging problems.

Journal: :Proceedings of the National Academy of Sciences of the United States of America 2016
Paul Gabrielsen

In early 2016, Oxford University astrophysicist Steven Balbus was filling in for a colleague, teaching a course on general relativity. Although not an expert in relativity before the course, Balbus felt growing admiration for Albert Einstein’s century-old theory. In February, during the course, Balbus and others around the world heard news out of the Laser Interferometer Gravitational-Wave Obse...

Journal: :Optics letters 2001
G A Swartzlander

I propose to use as a window the dark core of an optical vortex to examine a weak background signal hidden in the glare of a bright coherent source. Applications such as the detection of an astronomical object, forward-scattered radiation, and incoherent light are described whereby signal enhancements of at least 7 orders of magnitude may be achieved.

2010
Bin Fu

Modern astronomical datasets are getting larger and larger, which already include billions of celestial objects and take up terabytes of disk space. Meanwhile, many astronomical applications do not scale well to such large amount of data, which raises the following question: How can we use modern computer science techniques to help astronomers better analyze large datasets? To answer this quest...

Journal: :Monthly Notices of the Royal Astronomical Society 2021

In the new era of very large telescopes, where data is crucial to expand scientific knowledge, we have witnessed many deep learning applications for automatic classification lightcurves. Recurrent neural networks (RNNs) are one models used these applications, and LSTM unit stands out being an excellent choice representation long time series. general, RNNs assume observations at discrete times, ...

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