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ASTR615 Fall 2015 Problem Set #4

Due Wed Nov 4th, 2015

This problem set focuses on random number generation and Monte Carlo integration.

  1. Write a function that transforms a uniform deviate into a Rayleigh distributed deviate described by

p(y) dy = y e^{-y^2/2} dy, y \ge 0.

    Generate a suitable number of deviates and plot a normalized histogram to test your function (plot the expected Rayleigh distribution over your histogram for comparison).

  2. The total mass $M$ of an object of density $\rho$ is given by

M = \int_V \rho dx dy dz ,

    where $V$ represents the volume of the object. Using simple Monte Carlo integration, write a program that computes $M$ and its estimated error $\sigma_M$ if $\rho = 1 + x^2 + 3(y + z)^2$, where the volume of the object $V$ is defined by $x^2 + y^2 + z^2 \le 9$, $x \ge 0$, and $y \ge -1$. Plot $M$ with errorbars $\sigma_M$ as a function of the number of points $N$ used in the Monte Carlo integration, for $N$ between 10 and $10^7$, in integer powers of 10.

Massimo Ricotti 2015-10-26