Assessment of stochastic and deterministic models of 6304 quasar lightcurves from SDSS Stripe 82
暂无分享,去创建一个
[1] Ronald Christensen,et al. Testing Fisher, Neyman, Pearson, and Bayes , 2005 .
[2] A. J. Drake,et al. Variability-selected Quasars in MACHO Project Magellanic Cloud Fields , 2002, astro-ph/0209513.
[3] B. Peterson,et al. Characteristic Ultraviolet/Optical Timescales in Active Galactic Nuclei , 2001 .
[4] M. Rees. BLACK HOLE MODELS FOR ACTIVE GALACTIC NUCLEI , 1984 .
[5] D. Gillespie. The mathematics of Brownian motion and Johnson noise , 1996 .
[6] Zeljko Ivezic,et al. Sloan Digital Sky Survey Standard Star Catalog for Stripe 82: The Dawn of Industrial 1% Optical Photometry , 2007, astro-ph/0703157.
[7] R. Engle. Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation , 1982 .
[8] J. Berger. Could Fisher, Jeffreys and Neyman Have Agreed on Testing? , 2003 .
[9] Brandon C. Kelly,et al. Are the Variations in Quasar Optical Flux Driven by Thermal Fluctuations , 2009 .
[10] Joseph C. Shields,et al. THE COLOR VARIABILITY OF QUASARS , 2011, 1109.6653.
[11] Gregory Dobler,et al. SELECTING QUASARS BY THEIR INTRINSIC VARIABILITY , 2010, 1002.2642.
[12] R. Kron,et al. Continuum Variability of Active Galactic Nuclei in the Optical-Ultraviolet Range , 2000, astro-ph/0012408.
[13] Usa,et al. QUANTIFYING QUASAR VARIABILITY AS PART OF A GENERAL APPROACH TO CLASSIFYING CONTINUOUSLY VARYING SOURCES , 2009, 0909.1326.
[14] Nathaniel R. Butler,et al. OPTIMAL TIME-SERIES SELECTION OF QUASARS , 2010, 1008.3143.
[15] Pavlos Protopapas,et al. A Refined QSO Selection Method Using Diagnostics , 2011, Proceedings of the International Astronomical Union.
[16] S. Baliunas,et al. A Prescription for period analysis of unevenly sampled time series , 1986 .
[17] E. Bullock,et al. MODELING THE TIME VARIABILITY OF SDSS STRIPE 82 QUASARS AS A DAMPED RANDOM WALK , 2010, 1004.0276.
[18] S. Mineshige,et al. Optical Variability in Active Galactic Nuclei: Starbursts or Disk Instabilities? , 1997, astro-ph/9712006.
[19] Paul S. Smith,et al. Long-term optical variability properties of the Palomar–Green quasars , 1999 .
[20] John A. Nelder,et al. A Simplex Method for Function Minimization , 1965, Comput. J..
[21] Richard A. Davis,et al. Introduction to time series and forecasting , 1998 .
[22] P. Protopapas,et al. An improved quasar detection method in EROS-2 and MACHO LMC data sets , 2012, 1304.0401.
[23] C. Bailer-Jones. A Bayesian method for the analysis of deterministic and stochastic time series , 2012, 1209.3730.
[24] C. Kochanek,et al. IS QUASAR OPTICAL VARIABILITY A DAMPED RANDOM WALK? , 2012, 1202.3783.
[25] T. Bollerslev,et al. Generalized autoregressive conditional heteroskedasticity , 1986 .
[26] Brandon C. Kelly,et al. A STOCHASTIC MODEL FOR THE LUMINOSITY FLUCTUATIONS OF ACCRETING BLACK HOLES , 2010, 1009.6011.
[27] G. Uhlenbeck,et al. On the Theory of the Brownian Motion , 1930 .
[28] Pavlos Protopapas,et al. QSO Selection Algorithm Using Time Variability and Machine Learning: Selection of 1,620 QSO Candidates from MACHO LMC Database , 2011, 1101.3316.
[29] Mamoru Doi,et al. Exploring the Variable Sky with the Sloan Digital Sky Survey , 2007, 0704.0655.
[30] Pavlos Protopapas,et al. QUASI-STELLAR OBJECT SELECTION ALGORITHM USING TIME VARIABILITY AND MACHINE LEARNING: SELECTION OF 1620 QUASI-STELLAR OBJECT CANDIDATES FROM MACHO LARGE MAGELLANIC CLOUD DATABASE , 2011 .
[31] Pavlos Protopapas,et al. A REFINED QSO SELECTION METHOD USING DIAGNOSTICS TESTS: 663 QSO CANDIDATES IN THE LARGE MAGELLANIC CLOUD , 2011, 1110.5632.