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Lecture 1 (The Monte Carlo principle) - Institute for Particle Physics ...

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MC techniques Quadratures <strong>Monte</strong> <strong>Carlo</strong> Simulation Summary<br />

Basic simulation paradigm<br />

An example from thermodynamics<br />

Consider two-dimensional Ising model:<br />

H = −J ∑ s i s j<br />

〈ij〉<br />

Traditional model to understand (spontaneous)<br />

magnetisation & phase transitions.<br />

(Spins fixed on 2-D lattice with nearest neighbour interactions.)<br />

To evaluate an observable O, sum over all micro<br />

states φ {i} , given by the individual spins. (Similar to path integral in QFT.)<br />

〈O〉 = ∫ { [ ]}<br />

Dφ {i} Tr O(φ {i} ) exp<br />

− H(φ {i})<br />

k B T<br />

Typical problem in such calculations (integrations!):<br />

Phase space too large =⇒ need to sample.<br />

F. Krauss IPPP<br />

Introduction to Event Generators

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