The first release of the AST3-1 Point Source Catalogue from Dome A, Antarctica

Ma, Bin; Shang, Zhaohui; Hu, Yi; Hu, Keliang; Liu, Qiang; Ashley, M. C. B.; Cui, Xiangqun; Du, Fujia; Fan, Dongwei; Li, Feng; Huang, Fang; Gu, Bozhong; He, Boliang; Ji, Tuo; Li, Xiaoyan; Li, Zhengyang; Liu, Hui-Gen; Tian, Qiguo; Tao, C.; Wang, Daxing; Wang, Lifan; Wang, Songhu; Wang, Xiaofeng; Wei, Peng; Wu, Jianghua; Xu, Lei; Yang, Shihai; Yang, Ming; Yang, Yi; Yu, Ce; Yuan, Xiangyan; Zhou, Hongyan; Zhang, Hui; Zhang, Xueguang; Zhang, Yi; Zhao, Cheng; Zhou, Ji-Lin; Zhu, Zong-Hong

doi:10.1093/mnras/sty1392

Cited by 17 publications

(5 citation statements)

References 55 publications

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“…To evaluate AstroCatR capabilities, we performed various experiments on real catalogue datasets during the actual 2012 AST3 observations (Ma et al 2018). These datasets are relatively complete observation data that are available to us currently.…”

Section: Experiments and Resultsmentioning

confidence: 99%

AstroCatR: a mechanism and tool for efficient time series reconstruction of large-scale astronomical catalogues

Tang

et al. 2020

Monthly Notices of the Royal Astronomical Society

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ABSTRACT Time series data of celestial objects are commonly used to study valuable and unexpected objects such as extrasolar planets and supernova in time domain astronomy. Due to the rapid growth of data volume, traditional manual methods are becoming extremely hard and infeasible for continuously analysing accumulated observation data. To meet such demands, we designed and implemented a special tool named AstroCatR that can efficiently and flexibly reconstruct time series data from large-scale astronomical catalogues. AstroCatR can load original catalogue data from Flexible Image Transport System (FITS) files or data bases, match each item to determine which object it belongs to, and finally produce time series data sets. To support the high-performance parallel processing of large-scale data sets, AstroCatR uses the extract-transform-load (ETL) pre-processing module to create sky zone files and balance the workload. The matching module uses the overlapped indexing method and an in-memory reference table to improve accuracy and performance. The output of AstroCatR can be stored in CSV files or be transformed other into formats as needed. Simultaneously, the module-based software architecture ensures the flexibility and scalability of AstroCatR. We evaluated AstroCatR with actual observation data from The three Antarctic Survey Telescopes (AST3). The experiments demonstrate that AstroCatR can efficiently and flexibly reconstruct all time series data by setting relevant parameters and configuration files. Furthermore, the tool is approximately 3× faster than methods using relational data base management systems at matching massive catalogues.

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Section: Experiments and Resultsmentioning

confidence: 99%

AstroCatR: a mechanism and tool for efficient time series reconstruction of large-scale astronomical catalogues

Tang

et al. 2020

Monthly Notices of the Royal Astronomical Society

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“…The telescope is equipped with a frame-transfer CCD camera having 10K×5K active pixels, each 1.0 arcsec square. The typical full-width at half maximum intensity of stellar images is about 4 arcsec (Ma et al 2018), so the images are well-sampled even with this large pixel size. Two sequences of 30 consecutive exposures of 10 ms duration were used.…”

Section: Datamentioning

confidence: 99%

“…In some cases, site characteristics or logistical considerations favour particular techniques. The Multi-star Turbulence Monitor (MTM) technique, described in this paper, was motivated by the availability at Dome A in Antarctica of the Antarctic Survey Telescopes (AST3), three robotic wide-field 0.5-m telescopes equipped with highspeed wide-field imagers (Cui et al 2008;Yuan & Su 2012;Shang et al 2016;Liu et al 2018;Ma et al 2018). However, the technique could have broader application.…”

Section: Introductionmentioning

confidence: 99%

Multistar turbulence monitor: a new technique to measure optical turbulence profiles

Hickson

Shang

et al. 2019

Monthly Notices of the Royal Astronomical Society

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The strength and vertical distribution of atmospheric turbulence is a key factor determining the performance of optical and infrared telescopes, with and without adaptive optics. Yet, this remains challenging to measure. We describe a new technique using a sequence of short-exposure images of a star field, obtained with a small telescope. Differential motion between all pairs of star images is used to compute the structure functions of longitudinal and transverse wavefront tilt for a range of angular separations. These are compared with theoretical predictions of simple turbulence models by means of a Markov-Chain Monte-Carlo optimization. The method is able to estimate the turbulence profile in the lower atmosphere, the total and free-atmosphere seeing, and the outer scale. We present results of Monte-Carlo simulations used to verify the technique, and show some examples using data from the second AST3 telescope at Dome A in Antarctica.

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“…The first data release of Transiting Exoplanet Survey Satellite (TESS; Ricker et al 2015) in 2018 led to the identification of four new candidates through Transit Timing Variation (TTV) detection (Davoudi et al 2021;Dong et al 2021;Shan et al 2021;Yang & Chary 2021;Yang & Wei 2021). TTV monitoring depends on the timing precision and baseline length which are key technical specifications for time-domain facilities, e.g., Zwicky Transient Facility (ZTF; Bellm et al 2019), Large Synoptic Survey Telescope (LSST; Ivezić et al 2019), Tsinghua University-Ma Huateng Telescopes for Survey (TMTS; Zhang et al 2020;Lin et al 2022), Antarctic Survey Telescopes (AST3; Ma et al 2018;Zhang et al 2019) and SiTian (Liu et al 2021;). The latter is aiming to tune down the false-positive probability of time-domain signals, by implementing a global network of three-color photometric monitoring of one-quarter of the sky at a cadence of 30 min, down to a detection limit of V ∼ 21 mag (Liu et al 2021).…”

Section: Introductionmentioning

confidence: 99%

Detecting and Monitoring Tidal Dissipation of Hot Jupiters in the Era of SiTian

Yang¹,

Wang²,

Wei³

et al. 2022

Res. Astron. Astrophys.

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Transit Timing Variation (TTV) of hot Jupiters provides direct observational evidence of planet tidal dissipation. Detecting tidal dissipation through TTV needs high precision transit timings and long timing baselines. \textbf{In this work, we predict and discuss the potential scientific contribution of SiTian Survey in detecting and analyzing exoplanet TTV.} We develop a tidal dissipation detection pipeline for SiTian Survey that aims at time-domain astronomy with 72 1-meter optical telescopes. The pipeline includes the modules of light curve deblending, transit timing obtaining, and TTV modeling. SiTian is capable to detect more than 25,000 exoplanets among which we expect $\sim$50 sources showing evidence of tidal dissipation. We present detection and analysis of tidal dissipating targets, based on simulated SiTian light curves of XO-3b and WASP-161b. The transit light curve modeling gives consistent results within 1$\sigma$ to input values of simulated light curves. Also, the parameter uncertainties predicted by Monte-Carlo Markov Chain are consistent with the distribution obtained from simulating and modeling the light curve 1000 times. The timing precision of SiTian observations is $\sim$ 0.5 minutes with one transit visit. We show that differences between TTV origins, e.g., tidal dissipation, apsidal precession, multiple planets, would be significant, considering the timing precision and baseline. The detection rate of tidal dissipating hot Jupiters would answer a crucial question of whether the planet migrates at an early formation stage or random stages due to perturbations, e.g., planet scattering, secular interaction. SiTian identified targets would be constructive given that the sample would extend tenfold.

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The first release of the AST3-1 Point Source Catalogue from Dome A, Antarctica

Cited by 17 publications

References 55 publications

AstroCatR: a mechanism and tool for efficient time series reconstruction of large-scale astronomical catalogues

AstroCatR: a mechanism and tool for efficient time series reconstruction of large-scale astronomical catalogues

Multistar turbulence monitor: a new technique to measure optical turbulence profiles

Detecting and Monitoring Tidal Dissipation of Hot Jupiters in the Era of SiTian

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