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We present SimSpin, a new, public, software framework for generating integral field spectroscopy (IFS) data cubes from N-body/hydrodynamical simulations of galaxies, which can be compared directly with observational datasets. SimSpin provides a consistent method for studying a galaxy’s stellar component. It can be used to explore how observationally inferred measurements of kinematics, such as the spin parameter $\lambda_R$, are impacted by the effects of, for example, inclination, seeing conditions, distance. SimSpin is written in R and has been designed to be highly modular, flexible, and extensible. It is already being used by the astrophysics community to generate IFS-like cubes and FITS files for direct comparison of simulations to observations. In this paper, we explain the conceptual framework of SimSpin; how it is implemented in R; and we demonstrate SimSpin’s current capabilities, providing as an example a brief investigation of how numerical resolution affects how reliably we can recover the intrinsic stellar kinematics of a simulated galaxy.
Here one can learn some theory and practice of symplectic integration. The basic idea is that every integration step should be a canonical transformation, because that is what motion in a Hamiltonian system is.
The gravitational field of a black hole differs significantly from the point-mass field that is normally used in N-Body simulations. The additional terms needed are called Post-Newtonian ones and abbreviated as PN-terms. They depend in addition of coordinates also on velocities. Thus the methods discussed in Section~\ref{v-dependence} must be used in numerical integration. An other problem is that the orbital elements of two-body motions cannot any more be evaluatedin the same way as in the Newtonian point-mass dynamics. Finally one must remember that black holes rotate and form a so called Kerr-hole that produce a fielddiffering from the non-rotating one and the rotation, the black hole spin, changes due to interactions withother bodies. These complexities is discussed and formulae given in this short chapter
The main theme in this chapter is Algorithmic Regularization.The procedures in this are the {Logarithmic Hamiltonian (LogH)} and the {Time Transformed Leapfrog (TTL)}, in both of which the use of {\bf leapfrog is compulsory for regularization}. In addition to this, auxiliary variables for velocity dependent perturbations are specified.
This chapter discusses the various problems of few-body dynamics, starting from the two-body and planetary systems and proceeds to stellar dynamics and artificial satellite motions.
This chapter discusses the basic concepts in many-body dynamics.From the Lagrangian, Hamiltonian, canonical transformations and time transformations to Hamilton-Jacobi equations. This content can be found in most classical dynamics textbooks
This chapter is essentially a partial copy of the manuscript for the paper Mikkola, Palmer, Hashida(2002). In fact the text is mostly from the manuscript for that paper. A method of high precision computation of the motion of a body in a potential witch is an expansion in terms ofspherical harmonics, is considered.
This chapter discusses the main points in the computation of the motion of two-body systems. The matter here is basic but gives many important expressions for computation of two-body motion.
In this chapter one finds an introduction to the classical variation of parameters methods. This means e.g. that perturbed two-body motion can be represented as two-body motion with slowly evolving orbital elements.
Among other things this section handles Extended Phase Space, Time Transformations, Kustaanheimo-Stiefel (KS) Transformation and Chain Regularization. These topics are important in connection with regularization of the equations of motion. A major reference for this chapter is the book \cite{Sverre2010book}, which discusses also regularization although it concentrates on the use of polynomial approximations.
We describe an ultra-wide-bandwidth, low-frequency receiver recently installed on the Parkes radio telescope. The receiver system provides continuous frequency coverage from 704 to 4032 MHz. For much of the band (${\sim}60\%$), the system temperature is approximately 22 K and the receiver system remains in a linear regime even in the presence of strong mobile phone transmissions. We discuss the scientific and technical aspects of the new receiver, including its astronomical objectives, as well as the feed, receiver, digitiser, and signal processor design. We describe the pipeline routines that form the archive-ready data products and how those data files can be accessed from the archives. The system performance is quantified, including the system noise and linearity, beam shape, antenna efficiency, polarisation calibration, and timing stability.
An imaging technique with sensitivity to short duration optical transients is described. The technique is based on the use of wide-field cameras operating in a drift scanning mode, whereby persistent objects produce trails on the sensor and short duration transients occupy localised groups of pixels. A benefit of the technique is that sensitivity to short duration signals is not accompanied by massive data rates, because the exposure time is much greater than the transient duration. The technique is demonstrated using a pre-prototype system composed of readily available and inexpensive commercial components, coupled with common coding environments, commercially available software, and free web-based services. The performance of the technique and the pre-prototype system is explored, including aspects of photometric and astrometric calibration, detection sensitivity, characterisation of candidate transients, and the differentiation of astronomical signals from non-astronomical signals (primarily glints from satellites in Earth orbit and cosmic ray hits on sensor pixels). Test observations were made using the pre-prototype system, achieving sensitivity to transients with 21-ms duration, resulting in the detection of five candidate transients. An investigation of these candidates concludes they are most likely due to cosmic ray hits on the sensor and/or satellites. The sensitivity obtained with the pre-prototype system is such that, under some models for the optical emission from fast radio bursts (FRBs), the detection of a typical FRB, such as FRB181228, to a distance of approximately 100 Mpc is plausible. Several options for improving the system/technique in the future are described.