本文選題：人工智能 + 脈沖星��； 參考：《天文學(xué)進(jìn)展》2017年03期

【摘要】：脈沖星搜尋是對(duì)脈沖星、引力波,以及對(duì)快速射電暴(Fast Radio Burst,簡(jiǎn)稱FRB)等暫現(xiàn)源進(jìn)行研究的基礎(chǔ)。搜尋不僅可以擴(kuò)大脈沖星樣本,還可以發(fā)現(xiàn)極端性質(zhì)的致密星。這有助于研究致密天體狀態(tài)方程、星際介質(zhì)、脈沖星導(dǎo)航、引力波探測(cè)等課題。目前,射電望遠(yuǎn)鏡的單次巡天就可以產(chǎn)生百萬(wàn)數(shù)量級(jí)的脈沖星候選體。面對(duì)這些海量數(shù)據(jù),僅僅依賴人工識(shí)別篩選,已不能滿足數(shù)據(jù)的時(shí)效需求,更不能實(shí)現(xiàn)數(shù)據(jù)的實(shí)時(shí)處理。機(jī)器學(xué)習(xí)、計(jì)算機(jī)視覺應(yīng)用等人工智能技術(shù)自誕生以來,其理論和技術(shù)已日益發(fā)展成熟,并已成功運(yùn)用到脈沖星候選體篩選等射電天文研究領(lǐng)域。首先將介紹現(xiàn)有脈沖星搜尋的人工智能方法,再統(tǒng)計(jì)和分析已有脈沖星候選體篩選方法的性能,最后對(duì)FAST脈沖星候選體篩選工作進(jìn)行展望。
[Abstract]:Pulsar search is the basis for the study of pulsars, gravitational waves and transient sources such as Fast Radio burst (FRBs). Searching can not only enlarge pulsar samples, but also find dense stars with extreme properties. It is helpful to study the equations of state of dense celestial bodies, interstellar media, pulsar navigation, gravitational wave detection and so on. Currently, a single survey of radio telescopes can produce millions of pulsar candidates. In the face of these massive data, only relying on manual identification and filtering can not meet the aging requirements of the data, let alone realize the real-time processing of the data. Since the birth of artificial intelligence technology such as machine learning and computer vision application, its theory and technology have been developed and mature day by day, and have been successfully applied to the field of radio astronomy research such as pulsar candidate screening. Firstly, the existing artificial intelligence methods for pulsar search are introduced, and then the performance of the existing pulsar candidate selection methods is analyzed. Finally, the work of fast pulsar candidate selection is prospected.
【作者單位】： 貴州師范大學(xué)貴州省信息與計(jì)算科學(xué)重點(diǎn)實(shí)驗(yàn)室;中國(guó)科學(xué)院國(guó)家天文臺(tái);中國(guó)科學(xué)院射電天文實(shí)驗(yàn)室;澳大利亞聯(lián)邦科學(xué)與工業(yè)研究組織;
【基金】：研究生創(chuàng)新基金項(xiàng)目(研創(chuàng)201528) 國(guó)家自然科學(xué)基金(U1631132) 中國(guó)科學(xué)院國(guó)際合作局對(duì)外合作重點(diǎn)項(xiàng)目(114A11KYSB20160008);中國(guó)科學(xué)院戰(zhàn)略性先導(dǎo)科技專項(xiàng)(B類)(XDB23000000)
【分類號(hào)】：P145.6;TP18
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本文編號(hào)：2030234