New PDF release: Computational Nuclear Physics I

By K. Langanke, J. A. Maruhn, Steven E. Koonin

ISBN-10: 0387535713

ISBN-13: 9780387535715

Quite a few average difficulties in theoretical nuclear-structure physics is addressed via the well-documented desktop codes awarded during this e-book. each one of these codes have been on hand during the past in basic terms via own touch. the subject material levels from microscopic types (the shell, Skyrme-Hartree-Fock, and cranked Nilsson types) via collective excitations (RPA, IBA, and geometric version) to the relativistic impulse approximation, three-body calculations, variational Monte Carlo tools, and electron scattering. The five 1/4'' high-density floppy disk that incorporates the publication comprises the FORTRAN codes of the issues which are tackled in all the ten chapters. within the textual content, the best theoretical foundations and motivations of every version or technique are mentioned including the numerical tools hired. directions for using each one code, and the way to conform them to neighborhood compilers and/or working structures if precious, are incorporated.

Show description

Read Online or Download Computational Nuclear Physics I PDF

Similar computational mathematicsematics books

New PDF release: Augmented Lagrangian Methods: Applications to the Numerical

The aim of this quantity is to provide the rules of the Augmented Lagrangian approach, including quite a few purposes of this system to the numerical resolution of boundary-value difficulties for partial differential equations or inequalities coming up in Mathematical Physics, within the Mechanics of constant Media and within the Engineering Sciences.

Download PDF by Bijan Mohammadi, Olivier Pironneau: Applied Shape Optimization for Fluids, Second Edition

Computational fluid dynamics (CFD) and optimum form layout (OSD) are of functional value for lots of engineering functions - the aeronautic, motor vehicle, and nuclear industries are all significant clients of those applied sciences. Giving the cutting-edge match optimization for a longer variety of purposes, this new version explains the equations had to comprehend OSD difficulties for fluids (Euler and Navier Strokes, but in addition these for microfluids) and covers numerical simulation concepts.

Extra info for Computational Nuclear Physics I

Example text

Neuron, 36(5):909-19. [9] Barlow H (1961) Possible principles underlying the transformation of sensory messages. , Sensory Communication, pages 217-234, Cambridge, MA: MIT Press. , Meister M (1999) The neural code of the retina. Neuron, 22:435450. [ l l ] Borst A, Egelhaaf M (1986) Temporal modulation of luminance adapts time constant of fly movement detectors. Biological Cybernetics, 54:223-236. [12] Brenner N, Bialek W, de Ruyter van Steveninck R (2000) Adaptive rescaling maximizes information transmission.

2 (a). " A word consists of some number of sequentialbinary letters. @). A randomly varying Gaussian stimulus (here, a velocity stimulus) and the spike-trainresponses from fly visual neuron H1 for many repetitions. 1731 symbols. Let us consider the symbol defined by the joint occurrence of some pair of output events, El and E2. The synergy [13] is defined as the difference between the mutual information between output and stimulus obtained from the joint event compared with that obtained if the two events were observed independently, A positive value for Syn(E1,E2;s) indicates that El and E2 encode the stimulus synergistically; a negative value implies that the two events are redundant.

A limited number N of white noise sequences, {si), of 2 seconds duration were presented. Each sequence was modulated by a multiplicative amplitude envelope that switches between two values, a1 and 02, every 4 seconds. The sequences si straddle the switches in a. The spike trains are then divided into words, of total length 20 ms, with bin size At = 2ms. Taking time t to be measured relative to the time of the switch (either from 01 to a 2 or vice versa), the word distribution P(w(t)) was collected for every time slice t E [-I, 11 s.

Download PDF sample

Computational Nuclear Physics I by K. Langanke, J. A. Maruhn, Steven E. Koonin


by William
4.1

Rated 4.59 of 5 – based on 30 votes