Blackboard lectures for the year 2012
Quarter 3: The Magnetic Interstellar Medium | Prof. Kostas Tassis | home
Syllabus:
Lecture 1: Derivation of MHD equation from the Boltzmann equation. Validity conditions. Flux Freezing approximation.
Lecture 2: Linearization of MHD equations and derivation of different MHD wave modes. MHD Instabilities and their relevance to the dynamics of the interstellar medium.
Lecture 3: Derivation of Magnetic Virial theorem and exploration of the stability conditions form interstellar clouds. Critical mass-to-magnetic-flux ratio. Scaling of B-field with density. Angular momentum problem of star formation – magnetic braking . Magnetic flux problem of star formation - ambipolar diffusion.
Lecture 4: Means of observing interstellar magnetic fields. Polarization of lights. Zeeman effect. Lecture 5: Faraday Rotation. Polarization due to interstellar dust.
Schedule:
Lecture 1: August 31, 10:00-12:00 in 0.01 | video
Lecture 2: September 4, 10:00-12:00 in 0.01 | video
Lecture 3: September 5, 10:00-12:00 in 0.02 | video
Lecture 4: September 6, 10:00-12:00 in 0.01 | video
Lecture 5: September 7, 10:00-12:00 in 0.01 | video
Lecture 6: September 8, 10:00-12:00 in 0.01 | video
Suggested Reading:
Spitzer, L., Jr. 1998, Physical Processes in the Interstellar Medium, New York: John Wiley & Sons
Shu, F. H. 1992, Gas Dynamics, Volume II, Sausalito: University Science Books
Draine, B. T. 2011, Physics of the Interstellar and Intergalactic Medium, Princeton: Princeton University Press
Chen, F. F. 1974, Introduction to Plasma Physics and Controlled Fusion, 2nd edn, Volume I: Plasma Physics, New york: Plenum Press
Jackson, J. D. 1999, Classical Electrodynamics, 3rd edn, New York: John Wiley & Sons
Whittet, D. C. B. 1992, Dust in the Galactic Environment, New York: IOP Publishing
Kulsrud, R. M. 2005, Plasma Physics for Astrophysics, Princeton: Princeton University Press
Quarter 2: Physics of Extragalactic Jets | Dr. Tuomas Savolainen
Syllabus:
1. Introduction to relativistic jets and AGN.
2. Special relativity of jets.
3. Non-thermal emission processes.
4. Measuring the physical properties of jets.
5. Instabilities in jets (Dr. M. Perucho).
6. Acceleration and collimation of jets
Schedule:
Lecture 1: July 17, at 10:00 in 0.01 | video
Lecture 2: July 18, at 10:00 in 0.01 | video
Lecture 3: July 19, at 10:00 in 0.01 | video
Lecture 4: July 20, at 10:00 in 0.01 | video
Lecture 5: July 24, at 10:00 in 0.01 (Dr. M. Perucho, Uni. Valencia) | video
Lecture 6: July 25, at 10:00 in 0.01 | video
Further Reading:
Relativistic Jets from Active Galactic Nuclei, M. Boettcher, D.l E. Harris, H. Krawczynski ISBN-13: 978-3527410378
Further Reading for “Instabilities in the jet” (M. Perucho):
- Blandford, R.D, Rees, M.J. 1974, MNRAS, 169, 395
- Blandford, R.D, Pringle, J.E. 1976, MNRAS, 176, 443
- Birkinshaw, M. 1991b, in Beams and Jets in Astrophysics, Hughes, P.A. ed., Cambridge, p.278
- Chandrasekhar, S., 1961, Hydrodynamic and hydromagnetic stability, Clarendon Press.
- Ferrari, A., Trussoni, E., and Zaninetti, L. 1978, A&A, 64, 43
- Ferrari, A., Trussoni, E., Zaninetti, L. 1981 MNRAS, 196, 1051
- Hanasz, M., 1997, in Relativistic jets in AGNs, Ostrowski, M., Sikora, M., Madejski, G., Begelman, M., eds, Krak¶ow, p. 85 (astro-ph 9711275)
- Hardee, P.E. 1979, ApJ, 234, 47
- Hardee, P.E. 1982, ApJ, 257, 509
- Hardee, P.E. 1987, ApJ, 318, 78
- Hardee, P.E. 2000, ApJ, 533, 176
- Hardee, P.E., Walker, R.C., Gómez, J.L. 2005, ApJ, 620, 646
- Lobanov, A.P., Zensus, J.A. 2001, Science, 294, 128
- Payne, D.G, Cohn, H. 1985, ApJ, 191, 655
- Perucho, M., Hanasz, M., Martí, J.Ma, Sol, H. 2004a, A&A, 427, 415
- Perucho, M., Martí, J.Ma, Hanasz, M., 2004b, A&A, 427, 431
- Perucho, M., 2005, PhD Thesis
- Turland, B.D., and Scheuer, P.A.G. 1976, MNRAS, 176, 421
Quarter 1: Time series analysis applications in real-time: Methodology and Application | Dr. Dimitris Emmanoulopoulos
Syllabus:
1)General Introduction: Statistical distributions, random noise processes (white, red), production of artificial light curves through Power Spectral Density. Linear time series analysis methods 2)Time domain methodologies: Running variance methods: Structure function, auto- and cross-correlation functions 3)Frequency domain methodologies: Fourier analysis: Power spectral density estimation, cross spectrum analysis Nonlinear time series analysis methods 4)Very basic introduction with examples for the most commonly met concepts: dynamical system, embedding dimension etc. 5)Commonly used methodologies: phase space reconstruction, dimensionality analysis and what we learn from them
Schedule:
Lecture 1: March 05 at 10:00 in 0.01 | video
Lecture 2: March 06 at 10:00 in 0.01 | video
Lecture 3: March 07 at 10:00 in 0.01 | video
Lecture 4: March 08 at 10:00 in 0.01 | video
Lecture 5: March 09 at 10:00 in 0.01 | video
Literature:
Dynamical systems
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Provenzale et al. 1992, Physica D, 58, 31
Vio et al. 1992, ApJ, 391, 518
Power Spectral Density
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Priestley 1981, Spectral Analysis and Time Series: Probability and Mathematical Statistics, London: Academic Press, |c1981
Papadakis et al. 1993, MNRAS, 261, 612
Timmer & König (1995), A&A, 300,707 (IDL code: Google "Documentation for IDL Function timmerlc")
Structure function
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Emmanoulopoulos et al. (2010), MNRAS, 404, 931
Cross correlation function
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Edelson and Krolik et al. (1988), ApJ, 333, 646 (Discrete Correlation Function)
Alexander T. (1997),proc:Astronomical Time Series, 218, 163, ser.Astrophysics and Space Science Library. ed. Maoz,Sternberg & Leibowitz (z-transformed discrete correlation function)
Li et al. (2004), Chin. J. Astron. Astrophys. 4, 583 (Modiefied cross correlation function)
Gaskell and Sparke (1986), ApJ, 305, 175 (Interpolatedd cross correlation function)
Gaskell and Peterson (1987), ApJS, 65, 1 (Interpolatedd cross correlation function)
General statistics and time series
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Bevington & Robinson 1992, Data Reduction and Error Analysis for the Physical Sciences, 2nd edn, McGraw-Hill, New York
Press et al.1992, Numerical recipes in C. The art of scientific computing, Cambridge: University Press, |c1992, 2nd ed.
Brockwell and Davis 2000, Introduction to Time Series and Forecasting, New York: Springer-Verlag, |c2002, 2nd ed.
Nonlinear time series analysis
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Albano, A. M., Passamante, A., & Farrell, M. E. 1991, Physica D: Nonlinear Phenomena, 54, 85
Takens, F. 1981, in Lecture Notes in Mathematics, Vol. 898, Dynamical Systems and Turbulence, ed. D. A. Rand & L. S. Young, Warwick 1980 (Berlin: Springer-Verlag), 366-381
Sauer, T., Yorke, J. A., & Casdagli, M. 1991, Journal of Statistical Physics, 65, 579
Brandstater, A. & Swinney, H. L. 1987, Phys. Rev. A, 35, 2207
Sato, S., Sano, M., & Sawada, Y. 1988, Phys. Rev. A, 37, 1679
Elner, S. 1988, Phys.Lett.A, 133, 128
Grassberger, P. & Procaccia, I. 1983, Phys. Rev. Lett., 50, 346
Grassberger, P. & Procaccia, I. 1983, Physica D: Nonlinear Phenomena, 9, 189
