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SAOImageDS9荣获2024年度ADASS软件奖
2024年的获奖者是:
William
Joye和Eric Mandel,感谢他们对SAOImageDS9做出的贡献。
2021年走进天文软件的“无冕之王”天文软件大师新年系列讲座期间,我们曾邀请DS9的提出者、作者和主要开发者
William
Joye先生分享了他和DS9的故事 。
天文软件大师新年讲座系列
suite Pierre Fernique 2021-01-26 01:00 09:00 Advanced features of SAOImageDS9
William
...
Offline Meeting Room: NAOC A408 Lessions: http://ds9.si.edu/china-vo/ Recordings: YouTube, B站 Speaker:
William
...
CFITSIO获奖了!
近日,ADASS程序委员会宣布,基于在CFITSIO代码库方面的杰出工作,威廉·彭斯(
William
Pence)荣获首届ADASS天文软件杰出贡献奖。
LAMOST DR8 数据集正式发布
LAMOST成功运行以来,借鉴LAMOST光纤定位技术,世界上一大批有影响力的天文望远镜开始进行多目标光谱观测,如美国新墨西哥和智利的SDSS巡天2.5米望远镜、加纳利群岛的4.2米威廉·赫歇尔(
William
...
国家天文科学数据中心PSP项目发现II型超新星SN 2024aawh,星明超新星数量达百颗
德国天文学家威廉·赫歇尔(
William
Herschel)和美国天文学家路易斯·斯威夫特(Lewis Swift)分别于1784年和1887年观测到它,因此它在《星云星团新总表 ...
Python code of An Ultra-Fast Image Simulation Method with Spatially Variable Point Spread Functions
creation of simulated images where the Point Spread Function (PSF) varies across each pixel at a very high
speed
...
Dockers Version For the paper Image Pre-Processing Framework for Time-Domain Astronomy in the Artificial Intelligence Era
It offers a
speed
improvement of 10 to 100 times compared to the CPU version and is suitable for use ...
Python code of An Ultra-Fast Image Simulation Method with Spatially Variable Point Spread Functions
The code could genereate images with very fast
speed
and generated images have spatially variable point ...
Compressive Shack-Hartmann wavefront sensor based on deep neural networks
We further propose to use a deep neural network to accelerate the wavefront reconstruction
speed
.
a drop-out layer to simulate the compressive sensing process, which could increase the development
speed
...
Compressive Shack-Hartmann wavefront sensor based on deep neural networks
We further propose to use a deep neural network to accelerate the wavefront reconstruction
speed
.
a drop-out layer to simulate the compressive sensing process, which could increase the development
speed
...
Compressive Shack-Hartmann wavefront sensor based on deep neural networks
We further propose to use a deep neural network to accelerate the wavefront reconstruction
speed
.
a drop-out layer to simulate the compressive sensing process, which could increase the development
speed
...
Compressive Shack-Hartmann wavefront sensor based on deep neural networks
We further propose to use a deep neural network to accelerate the wavefront reconstruction
speed
.
a drop-out layer to simulate the compressive sensing process, which could increase the development
speed
...
The orbits of Triton and Nereid and the pole orientation of Neptune from Voyager, Hubble Space Telescope, and Earth-based astrometry in 1847-2020
Moreover, model simplifications are investigated to
speed
up the motion equation integration.
The orbits of Triton and Nereid and the pole orientation of Neptune from Voyager, Hubble Space Telescope, and Earth-based astrometry in 1847-2020
Moreover, model simplifications are investigated to
speed
up the motion equation integration.
The orbits of Triton and Nereid and the pole orientation of Neptune from Voyager, Hubble Space Telescope, and Earth-based astrometry in 1847-2020
Moreover, model simplifications are investigated to
speed
up the motion equation integration.
The orbits of Triton and Nereid and the pole orientation of Neptune from Voyager, Hubble Space Telescope, and Earth-based astrometry in 1847-2020
Moreover, model simplifications are investigated to
speed
up the motion equation integration.
软件工具
2020年10月,ADASS程序委员会宣布,基于在CFITSIO代码库方面的杰出工作,威廉·彭斯(
William
Pence)荣获首届ADASS天文软件杰出贡献奖。
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