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Workshop on Big Data Challenge in Astronomy

On June 17-21, the 2nd China - South Africa Workshop on Big Data Challenge in Astronomy was held in Shanghai ...

Delegations from both sides presented and discussed on big data challenge in astronomy, SKA and other ...

Yunus Manjoo from National Research Foundation of South Africa introduced the big picture of BRICS astronomy ...

China-VO Alibaba Astronomy Party

the party on different technical aspects, including web crawlers, machine learning, engineering, and big ...

天文学家利用深度学习预测日冕软X射线辐射

日冕中的自由电子被附近离子的电场散射，通过自由-自由跃起损失动能并辐射光子（free-free emission）。这一物理过程是日冕极紫外波段和软X射线波段辐射的主要来源。

百年IAU首开教育学术研讨会

本次学术研讨会（IAU Symposium）以“天文大数据时代的教育与传承 IAU2020-2030十年战略规划第一步”（"Education and Heritage in the Era of Big ...

Hearnshaw, IAU Startegic Plan 2020-2030 (Caterbury University, New Zealand) – Sarbani Basu, Big ...

– Claire Raftery, Big Data (DKIST, USA).

– Alex Young, Heliophysics and Big Data, (NASA, USA).

致谢

This work is supported by Astronomical Big Data Joint Research Center, co-founded by National Astronomical ...

ADASS摘要提交即将截止，千万别忘记！

Registration Deadline - remote participation The key themes for ADASS XXXV ✔ Science platforms in the big ...

Night-time measurements of astronomical seeing at Dome A in Antarctica

Sites on the Antarctic plateau are characterized by comparatively weak turbulence in the free atmosphere ...

below 8 metres for 31 per cent of the time, with median seeing of 0.31 arcseconds, consistent with free-atmosphere ...

layer makes it less challenging to locate a telescope above it, thereby giving greater access to the free ...

Night-time measurements of astronomical seeing at Dome A in Antarctica

Sites on the Antarctic plateau are characterized by comparatively weak turbulence in the free atmosphere ...

below 8 metres for 31 per cent of the time, with median seeing of 0.31 arcseconds, consistent with free-atmosphere ...

layer makes it less challenging to locate a telescope above it, thereby giving greater access to the free ...

Night-time measurements of astronomical seeing at Dome A in Antarctica

Sites on the Antarctic plateau are characterized by comparatively weak turbulence in the free atmosphere ...

below 8 metres for 31 per cent of the time, with median seeing of 0.31 arcseconds, consistent with free-atmosphere ...

layer makes it less challenging to locate a telescope above it, thereby giving greater access to the free ...

Night-time measurements of astronomical seeing at Dome A in Antarctica

Sites on the Antarctic plateau are characterized by comparatively weak turbulence in the free atmosphere ...

below 8 metres for 31 per cent of the time, with median seeing of 0.31 arcseconds, consistent with free-atmosphere ...

layer makes it less challenging to locate a telescope above it, thereby giving greater access to the free ...

Code for Digital Twin of Atmospheric Turbulence Phase Screens Based On Deep Neural Networks

If you need some phase screen with specified properties, feel free to contact the corresponding author ...

Code for Digital Twin of Atmospheric Turbulence Phase Screens Based On Deep Neural Networks

If you need some phase screen with specified properties, feel free to contact the corresponding author ...

（4011篇） standard deviation （3961篇） large number（3840篇） future work （3545篇） bottom panel（3541篇） free ...

2021年天文学研究什么话题最热门：黑洞、类星体、还是CNN？

other hand （7809篇） right panel （4354篇） wide range（3822篇） large number（3745篇） free parameter（3494篇 ...

敬请关注！CHEOPS访客观测者计划第六次观测机会通知

about this opportunity via https://www.cosmos.esa.int/web/cheops-guest-observers-programme, and feel free ...

中国虚拟天文台与天文信息学2014年学术年会在浙江举行

学术会议的主题是“天文学的‘大数据’（Big Data in Astronomy）”。

Data-driven image restoration with option-driven learning for big and small astronomical image data sets

Image restoration methods are commonly used to improve the quality of astronomical images. In recent years, developments of deep neural networks and increments of the number of astronomical images have evoked a lot of data-driven image restoration methods. However, most of these methods be ...

Data-driven image restoration with option-driven learning for big and small astronomical image data sets

Image restoration methods are commonly used to improve the quality of astronomical images. In recent years, developments of deep neural networks and increments of the number of astronomical images have evoked a lot of data-driven image restoration methods. However, most of these methods be ...

Data-driven image restoration with option-driven learning for big and small astronomical image data sets

Image restoration methods are commonly used to improve the quality of astronomical images. In recent years, developments of deep neural networks and increments of the number of astronomical images have evoked a lot of data-driven image restoration methods. However, most of these methods be ...

Data-driven image restoration with option-driven learning for big and small astronomical image data sets

Image restoration methods are commonly used to improve the quality of astronomical images. In recent years, developments of deep neural networks and increments of the number of astronomical images have evoked a lot of data-driven image restoration methods. However, most of these methods be ...