Operation, control, and data system for Antarctic Survey Telescope (AST3)

Shang, Zhaohui; Hu, Keliang; Hu, Yi; Li, Jiliang; Jin, Li; Liu, Qiang; Ma, Bin; Quinn, J.; Sun, Jianghua; Wang, Lifan; Xiao, Jianhua; Yu, Jia; Yu, Ce; Yang, Ming; Yuan, Xiangyan; Zeng, Zhen

doi:10.1117/12.925600

Cited by 10 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…1. Deprojection -Each image was re-sampled to the same geometry as the template image (earlier epoch image) so that images were photometrically aligned to facilitate subtraction per the SWarp software package (Shang et al 2012). 2.…”

Section: Appendix A: Reduction and Difference-imaging Technique (Mcdonald 2012)mentioning

confidence: 99%

A package for the automated classification of images containing supernova light echoes

Bhullar

Ali

Welch

2021

A&A

View full text Add to dashboard Cite

Context. The so-called light echoes of supernovae -the apparent motion of outburst-illuminated interstellar dust -can be detected in astronomical difference images; however, light echoes are extremely rare which makes manual detection an arduous task. Surveys for centuries-old supernova light echoes can involve hundreds of pointings of wide-field imagers wherein the subimages from each CCD amplifier require examination. Aims. We introduce ALED, a Python package that implements (i) a capsule network trained to automatically identify images with a high probability of containing at least one supernova light echo and (ii) routing path visualization to localize light echoes and/or light echo-like features in the identified images. Methods. We compared the performance of the capsule network implemented in ALED (ALED-m) to several capsule and convolutional neural networks of different architectures. We also applied ALED to a large catalogue of astronomical difference images and manually inspected candidate light echo images for human verification. Results. ALED-m was found to achieve 90% classification accuracy on the test set and to precisely localize the identified light echoes via routing path visualization. From a set of 13,000+ astronomical images, ALED identified a set of light echoes that had been overlooked in manual classification. ALED is available via github.com/LightEchoDetection/ALED.

show abstract

Section: Appendix A: Reduction and Difference-imaging Technique (Mcdonald 2012)mentioning

confidence: 99%

A package for the automated classification of images containing supernova light echoes

Bhullar

Ali

Welch

2021

A&A

View full text Add to dashboard Cite

show abstract

“…2), were prepared for Dome A Shang et al, 2012) with the aim of conducting a survey for supernovae (SN) and transient sources. Furthermore, a 2.5 m optical/infrared telescope (KDUSTthe Kunlun Dark Universe Survey Telescope) has been proposed by the Chinese Center for Antarctic Astronomy (CCAA) for Dome A to in order to explore the dark universe (e.g., Yuan et al (2013); Zhu et al (2014)).…”

Section: Kunlun Station At Dome Amentioning

confidence: 99%

Astronomy From the High Antarctic Plateau

Burton¹,

Yang²,

Ichikawa³

2015

Publications of The Korean Astronomical Society

View full text Add to dashboard Cite

The Antarctic high plateau offers exceptional conditions for infrared and terahertz astronomy, as well as for programs requiring long, uninterrupted periods for measurements made with high cadence and photometric precision (i.e. time domain astronomy). In this review we summarise the special conditions of the Antarctic plateau which facilitate these observing regimes. We also outline some high profile science programs in each that could be conducted most effectively from the Antarctic high plateau, involving the first light in the Universe, the life cycle of our Galaxy, and the equation of state for the Universe. Three high plateau sites are under particular consideration for furthering such scientific programs-Dome A, Dome F and Ridge A. We summarise the activity underway at each site, which includes the building of new stations and the construction of facilities for optical, infrared and terahertz astronomy, as well as the plans for their future development.

show abstract

Optimized Data Layout for Spatio-temporal Data in Time Domain Astronomy

Yan

Sun

et al. 2017

Algorithms and Architectures for Parallel Processing

View full text Add to dashboard Cite

Operation, control, and data system for Antarctic Survey Telescope (AST3)

Cited by 10 publications

References 0 publications

A package for the automated classification of images containing supernova light echoes

A package for the automated classification of images containing supernova light echoes

Astronomy From the High Antarctic Plateau

Optimized Data Layout for Spatio-temporal Data in Time Domain Astronomy

Contact Info

Product

Resources

About