天文学报
天文學報
천문학보
ACTA ASTRONOMICA SINICA
2009年
4期
364-373
,共10页
唐洁%张晓娟%庞桥%张皓晶%郑永刚%张雄
唐潔%張曉娟%龐橋%張皓晶%鄭永剛%張雄
당길%장효연%방교%장호정%정영강%장웅
蝎虎天体%个别%类星体%个别%星系%基本参数%方法%分析
蝎虎天體%箇彆%類星體%箇彆%星繫%基本參數%方法%分析
갈호천체%개별%류성체%개별%성계%기본삼수%방법%분석
BL Lac Objects:Individual%Quasars:Individual%Galaxies:Fundamental Parameters%Methods:Analytical
探索Blazar光变资料中的周期或准周期变化是1个有待深入研究的领域.由于光变资料的复杂性,目前寻找周期的算法还不够完善.文中以现代谱估计为基础,详细论述了自回归(Auto-regressive,AR)模型谱估计方法和最大熵谱估计的基本原理,分析了阶数选择对模型的重要影响,并把这些方法应用到类星体3C 279和BL Lac天体OJ287的光变周期分析中,得到它们的光变周期分别为7.14和11.76yr.通过验证,自回归 模型谱估计方法由于其分辨率高,可以作为1种较好的分析周期的方法.最后指出在应用谱估计分析Blazar天体的光变周期注意事项.
探索Blazar光變資料中的週期或準週期變化是1箇有待深入研究的領域.由于光變資料的複雜性,目前尋找週期的算法還不夠完善.文中以現代譜估計為基礎,詳細論述瞭自迴歸(Auto-regressive,AR)模型譜估計方法和最大熵譜估計的基本原理,分析瞭階數選擇對模型的重要影響,併把這些方法應用到類星體3C 279和BL Lac天體OJ287的光變週期分析中,得到它們的光變週期分彆為7.14和11.76yr.通過驗證,自迴歸 模型譜估計方法由于其分辨率高,可以作為1種較好的分析週期的方法.最後指齣在應用譜估計分析Blazar天體的光變週期註意事項.
탐색Blazar광변자료중적주기혹준주기변화시1개유대심입연구적영역.유우광변자료적복잡성,목전심조주기적산법환불구완선.문중이현대보고계위기출,상세논술료자회귀(Auto-regressive,AR)모형보고계방법화최대적보고계적기본원리,분석료계수선택대모형적중요영향,병파저사방법응용도류성체3C 279화BL Lac천체OJ287적광변주기분석중,득도타문적광변주기분별위7.14화11.76yr.통과험증,자회귀 모형보고계방법유우기분변솔고,가이작위1충교호적분석주기적방법.최후지출재응용보고계분석Blazar천체적광변주기주의사항.
The periodicity analysis of Blazars' light curves needs improvement. It is believed that variability is one of the denning characteristics of Blazars. Due to the complication of Blazars' light curves, the present periodicity analysis methods are not perfect. Power spectrum analysis is available if the underlying variability process is stationary, which means that the process does not change with time in statistics. Classical spectral analysis methods are unsatisfactory to solve the problem. Based on modern spectral estimation, the principle of maximum entropy estimation and Auto-regressive(AR) spectral estimation are discussed. We mainly analyze the effect of the order selection on models. Therefore, the programme applying maximum entropy estimation and AR spectral estimation to deal with the period of quasar 3C 279 and BL Lac Object OJ 287 is presented. Their derived periods of 3C 279 and OJ 287 are 7.14 and 11.76 yr, respectively. Validated by the experiments, the AR model spectrum estimation method is a good way to compute the period of light variability. At the end of this paper, we point out what should be paid attention to in the applications.