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By
Robert A. Benjamin, Department of Physics, University of Wisconsin-Madison, 1150 University Ave, Madison, WI 53706, USA
Edited by
Jose Franco, Universidad Nacional Autónoma de México,Alberto Carraminana, Instituto Nacional de Astrofisica, Optica y Electronica, Tonantzintla, Mexico
Several authors have now suggested that some interstellar clouds above the plane of the Galaxy are interacting with the Reynolds' layer, the warm ionized gas extending well above (H ≅ 910 pc) the Galactic plane (Reynolds 1993). Characterizing the interaction between these clouds and their surroundings should be useful in understanding one source of interstellar turbulence: vertical shear flows. This paper discusses how studies of the morphology and drag coefficient of falling clouds might be used to constrain the Reynolds number for the flow, and hence the effective viscosity of the warm ionized medium. If arguments based on morphology are correct, the effective viscosity of the warm ionized medium is significantly higher than the classical values. Possible resolutions to this problem are suggested.
Turbulence from Vertical Flows
The spectrum of density and velocity fluctuation in the ionized interstellar medium (ISM) measured by scintillation of pulsars suggests that on small scales much of the structure of the diffuse ionized ISM may arise as the result of turbulent processes. Turbulence arises in regions of viscous shear flows. In the Galaxy, such flows have a large range of outer length scales, and include galactic rotational shear in both the radial and vertical (c.f. Walterbos 1998, this volume) directions, spiral density waves, stellar mass outflows (jets, winds, and explosions), and photoionization-driven flows. The structures formed contain energy over a range of length scales which is ultimately dissipated via viscous (hydrodynamical) and resistive (magneto-hydrodynamical) processes.
By
Anthony H. Minter, National Radio Astronomy Observatory, Green Bank, WV, 24944, USA,
Dana S. Balser, National Radio Astronomy Observatory, Green Bank, WV, 24944, USA
Edited by
Jose Franco, Universidad Nacional Autónoma de México,Alberto Carraminana, Instituto Nacional de Astrofisica, Optica y Electronica, Tonantzintla, Mexico
Faraday rotation measures for extragalactic sources were determined in a ∼ 12° by 10° area of the sky. The Hα emission from this region of the sky was also measured. These measurements allowed the unambiguous detection of turbulent magnetic field fluctuations in the diffuse interstellar medium. We compare these observations with the predictions of several ISM turbulence models. We find that the observed turbulence cannot be explained by an ensemble of magnetosonic waves propagating at large angles with respect to the mean magnetic field lines. The measurement of the turbulent magnetic field fluctuations allows us to quantify the energy contained in the turbulence which gives us an estimate of the turbulent dissipation rate. The effects of this turbulent dissipation on the heating of the diffuse ISM are investigated. It is found that the turbulent heating can explain the differences in observed line intensity ratios (such as [S II]/Hα and [N II]/Hα) between H II regions and the diffuse ionized gas (DIG) in our galaxy.
Observations
The Faraday rotation measures of 38 extragalactic sources, many of which are double lobed radio sources, were measured in a ∼ 12° by 10° region of the sky (RA 2h–3h, DEC 33°–43°) (Minter & Spangler 1996). This region of the sky was chosen due to the Hα emission from the diffuse ionized gas (DIG ≡ WIM ≡ Reynolds layer) in our galaxy having been previously mapped by Reynolds (1980).
By
T. Liljeström, Metsähovi Radio Observatory, Helsinki University of Technology, Otakaari 5.A, FIN-02150 Espoo, Finland,
K. Leppänen, Metsähovi Radio Observatory, Helsinki University of Technology, Otakaari, 5.A, FIN-02150 Espoo, Finland
Edited by
Jose Franco, Universidad Nacional Autónoma de México,Alberto Carraminana, Instituto Nacional de Astrofisica, Optica y Electronica, Tonantzintla, Mexico
We present sub-milliarcsecond linear polarization results of 22 GHz water masers in W51 M, and some statistically significant characteristics of water maser outbursts in W49 N. Two different methods are used to extract the fluctuating part of the preshock fluid velocities and magnetic fields in these dense high-mass star-forming regions.
Linear Polarization Observations of Water Masers in W51 M
High-resolution polarization observations of water masers provide a powerful tool for studying Alfvenic turbulence and magnetic fields in dense circumstellar regions. Here we present some main results of the first 22 GHz linear polarization observations of water masers in the central low-velocity range of W51M, 54 < Vlsr < 68 km s−1, obtained with VLBA (Leppänen, Liljeström, & Diamond 1998). The principal difference of polarimetric VLBI from total intensity VLBI is the need to calibrate the instrumental polarization parameters, which have been solved by Leppänen (1995) with a feed self-calibration algorithm (see also Leppänen, Zensus, & Diamond 1995). The uniformly weighted restoring (CLEAN) beam obtained was 0.71 × 0.26 mas; the velocity resolution was 0.2 km s−1.
Figure la shows the spatial distribution of the maser spots. Superimposed on the spots are the linear polarization vectors with their lengths proportional to the degrees of polarization. The inset of Figure la is an enlargement of the compact maser concentration near the reference position (0,0) of W51 M. The dotted line in the inset separates blueshifted (west of the dotted line) and redshifted (east of the dotted line) maser spots with respect to the velocity centroid, 61.5 km s−1, of this maser concentration, hereafter called the protostellar cocoon.
By
Steven R. Spangler, Department of Physics and Astronomy, University of Iowa, Iowa City, IA 52242, USA
Edited by
Jose Franco, Universidad Nacional Autónoma de México,Alberto Carraminana, Instituto Nacional de Astrofisica, Optica y Electronica, Tonantzintla, Mexico
I discuss what we have learned about the nature of interstellar turbulence from the technique of radio wave scintillation. My main interest is in the form of the turbulence, i.e. what physical models and equations are appropriate. Radio scintillation observations show that the density irregularities responsible for radio wave scintillation are elongated and probably magnetic-field aligned and characterized by a Kolmogorov spatial power spectrum. It seems reasonable, and almost unavoidable, that the plasma density fluctuations responsible for these scintillations coexist with and are produced by fluctuations in magnetic field and plasma flow velocity which share these properties of the density fluctuations. The main thesis of this paper is that magnetic field and plasma velocity fluctuations with such properties emerge from approximate statements of magnetohydrodynamics such as reduced magnetohydrodynamics or two dimensional magnetohydrodynamics. It is suggested that much insight regarding interstellar magnetohydrodynamics can be gained from study of these relatively simple and intellectually accessible equations.
Introduction
This paper will deal with turbulence in the ionized portion of the interstellar medium. The theoretical ideas invoked will therefore be from the field of plasma turbulence, which in some respects differs from hydrodynamic turbulence. My primary interest, in keeping with the title of this paper, will be in the fluctuations which occur on spatial scales much less than the outer scales of the turbulence, scales which may be termed part of the inertial subrange.
Three hundred years ago, Isaac Newton discovered that the motion of dynamical systems with N degrees of freedom could be described by N second-order differential equations. These differential equations provide us with a mathematical road map, giving directions about the motion of a system for each successive time interval. Since the system's motion in each interval of time is connected smoothly to the motion in the preceding time interval, Newton was convinced that the equations of this motion would have solutions that change smoothly as the initial conditions are varied, that is, would be analytic functions of the time and the initial conditions. Generations of physicists shared Newton's belief that all mechanical problems would have analytic solutions. By the 1830s, Lagrange and Hamilton had improved the analytical techniques for finding the equations most appropriate to a particular physical system. If analytic solutions to a particular problem could not be found, it was thought that only a cleverer, more sophisticated approach was needed. The concept of the “clockwork universe” was accepted after Newton. Such a universe is completely determined by the initial conditions to move along smooth paths for the rest of time, just as the planets seemed to move in perpetual ellipses around the Sun. Laplace was a particular champion of this universal determinism, a view his contemporaries did not hesitate to extend to everything, not only to the problems of mechanics. […]
Reflecting on the past nine chapters, you may realize that we have only solved a few problems in an analytic form. What about the many other problems that one is sure to encounter in physics? Many of the most interesting problems do not have exact analytic solutions. This chapter will introduce a few methods for dealing with problems of this type. Often we start with a problem we already know how to solve, like the Kepler problem or harmonic oscillator. Then we add on a part, known as a “perturbation,” which approximates the more complex problem. To get a more accurate solution, we add on more terms.
If a system in motion is perturbed slightly, does it diverge rapidly from the unperturbed motion or does it oscillate around the unperturbed orbit? In the former case, we say the system is “dynamically unstable”; in the latter case there is “dynamical stability.” If we assume the motion, at least initially, is close to the unperturbed motion, we can subtract the perturbed equations of motion from the unperturbed ones, keeping only terms linear in the difference between the perturbed and unperturbed motion. This is known as “linearizing” the equations of motion. There are two ways to introduce a perturbation of the motion. We can either disturb the initial conditions (known as a one-time perturbation) or else add a small change in the Lagrangian, usually in the potential energy. […]
Canonical transformations are transformations from one set of canonically conjugate variables q, p to another conjugate set Q, P. A transformation is said to be canonical if, after the transformation, Hamilton's equations are still the correct dynamical equations for the time development of the new variables. The new Hamiltonian may look quite different from the old one. It may prove easier to solve the EOM in terms of the new variables Q, P. The concept of a generating function is introduced, which gives an “automatic” method for producing canonical transformations. There are four types of generating functions for canonical transformations. It will be explained how these different generating functions are connected by Legendre transformations.
Poisson brackets will be introduced, which are invariant under canonical transformations. If Hamilton's dynamics is formulated in terms of Poisson brackets, we have a coordinate-free way to express the equations of motion. The close resemblance of Poisson brackets used in classical mechanics to commutators of operators in quantum mechanics is not an accident, since Poisson brackets played a fundamental role in the invention of quantum mechanics.
We proceed from the general notion of a generating function to the special generating function S. which produces a canonical transformation leading to the Hamilton–Jacobi equation. The Hamilton–Jacobi equation leads to a geometric picture of dynamics relating the dynamics to wave motion. […]
One of the greatest advances in science was Newton's discovery that the force of gravity is a universal force that not only causes terrestrial objects to fall but also guides the Moon around the Earth and the planets around the Sun. It was not previously understood that the Moon and planets – indeed the universe – obey the same physical laws as terrestial objects. We take this for granted today, but it was a revolution in human understanding, one from which there has been no turning back.
Our goal in this chapter is to show how this problem – the Kepler problem of planetary orbits – can be solved using the powerful analytical techniques of Lagrangian mechanics. We begin by considering the general solution for motion in a one-dimensional potential V(q). Next, we consider a six-dimensional system of two isolated point masses that interact by a mutual force directed along the line between them. This applies to a wide class of physical problems, with results of general significance. By using symmetry properties we can drastically simplify the problem down to a single equation involving only the radial distance between the two masses. At this stage, by introducing the concept of equivalent potential, the problem is reduced to one with only one degree of freedom. Proceeding further, we restrict our consideration to the force of gravity, a force that diminishes according to the inverse of the square of the distance between the attracting bodies. […]
An oscillator is a system with periodic motion. In mechanical systems, there is a restoring force that can do both positive and negative work as the system moves. Positive work done by this restoring force changes the kinetic energy into potential energy. Negative work done by the force turns the potential energy back into kinetic energy. If the force is linearly proportional to displacement, the oscillator is a linear or simple harmonic oscillator. Linear oscillators have many special properties. In particular, linear oscillators have the important property that the oscillation frequency is independent of amplitude. (This is not true if the oscillator is nonlinear.) The importance of linear oscillators in mechanics lies in the fact that, for small vibration amplitudes, we can approximate the dynamics of most mechanical systems as linear oscillators. Not only mechanical systems like a vibrating airplane wing, but, beyond the realm of mechanics, electrical systems and even an electron bound in an atom can be usefully modeled in this way. To understand large-amplitude oscillatory motion, we have to study nonlinear oscillators. The pendulum is an example of an oscillator that is linear at small amplitudes, yet becomes nonlinear at large amplitudes.
To discuss linear oscillators in a physically realistic way, we must depart from our dealings with conservative systems and introduce a special “damping” force which extracts energy from the oscillator. […]
The Physics Department at Cornell offers two intermediate-level undergraduate mechanics courses. This book evolved from lecture notes used in the more advanced of the two courses. Most of the students who took this course were considering postgraduate study leading to future careers in physics or astronomy. With a few exceptions, they had previously taken an introductory honors course in mechanics at the level of Kleppner and Kolenkow. Many students also had an Advanced Placement physics course in high school. Since we can assume that a solid background in introductory college-level physics already exists, we have not included a systematic review of elementary mechanics in the book, other than the brief example at the beginning of Chapter 1.
Familiarity with a certain few basic mathematical concepts is essential. The student should understand Taylor series in more than one variable, partial derivatives, the chain rule, and elementary manipulations with complex variables. Some elementary knowledge of matrices and determinants is also needed. Almost all of the students who took the honors analytic mechanics course at Cornell have either completed, or were concurrently registered in, a mathematical physics course involving vector analysis, complex variable theory, and techniques for solving ordinary and partial differential equations. However, a thorough grounding in these subjects is not essential – in fact some of this material can be learned by taking a course based on this book.
As it would be viewed by an observer on the Sun, you are racing along at 66,700 miles/hr on an elliptical orbit. A different observer, located at the center of the Earth would see you rotating at 1,038 miles/hr. Yet, in everyday life, we are not normally aware of this. The description of motion depends on the reference frame. Inertial reference frames play a special role.
The Earth we live on is not an inertial frame. It is possible for someone on Earth to detect the Earth's rotation by detecting small deviations from Newton's Laws. While he was still an undergraduate, A. H. Compton invented a table-top experiment which not only demonstrated the Earth's rotation, but also measured the latitude of the laboratory. We need to develop a systematic way of translating back and forth between the description of motion in a rotating frame and the description in an inertial frame. This is a purely geometric or “kinematic” mathematical process, because we assume that the relative motion of the two reference frames is fully specified and is not subject to change by the action of forces, at least within the time period of the experiments we wish to do or during the observations we wish to make.
Motion can take place on a rotating body and be observed either with a reference frame fixed in the body, or from outside (i.e., a coordinate system fixed in “space”). […]
Consider a mechanical system that has N degrees of freedom. Assume also that the system is close to one of its stable equilibrium points. We will show that this system acts like N independent SHOs, usually with N different frequencies. One or more of these independent oscillations can be present depending on the initial conditions. In a state where only a single oscillation frequency is excited, the N different degrees of freedom move synchronously at a common mode frequency. The ratios between the different displacements for each degree of freedom, known as the mode displacement ratios, are an intrinsic characteristic of the normal mode that is oscillating. The amplitude of any particular mode is known as the normal coordinate. Each normal coordinate oscillates in time like a single SHO. All possible movements of the system, for sufficiently small displacements from the equilibrium point, can be described as a linear combination of modes.
Why do we concentrate on “small” vibrations for such a system? By definition, if the differential equations of motion are linear, the system is then said to be a linear system. Taylor's theorem guarantees that most systems are linear if the displacements are small enough. The motion can then be approximately described by a set of linear differential equations very similar to the equation for a simple harmonic oscillator. […]