We consider the evolution of a parton system which is formed at the central rapidity region just after an ultrarelativistic heavy ion collision. The evolution of the system, which is composed of gluons, quarks and antiquarks, is described by a relativistic Boltzmann equations with collision terms including radiation and retardation effects. The equations are solved by the test particle method u...

In this work we make a first, partial, assessment of the lowto medium-temperature geothermal reserves of Mexico. The assessment covers about 30% of the identified geothermal surface manifestations. For reserve assessment we use the volume method, supplemented with Montecarlo simulations and statistics, in order to quantify the inherent uncertainties. We estimate these reserves as lying between ...

Spectral Self-Interference Fluorescence Microscopy (SSFM) has been shown to allow nanometer-scale localization of fluorescent layers placed above a reflecting substrate. A MonteCarlo analysis is used to show how this high localization accuracy can still be expected at the low signal levels associated with single-molecule studies. Discrimination of fluorophores separated by a few tens of nanomet...

Solving board games is a hard task, in particular for games in which classical tools like alpha-beta and proof-number-search are somehow weak. In particular, Go is not solved (in any sense of solving, even the weakest) beyond 6x6. We here investigate the use of Meta-MonteCarlo-Tree-Search, for building a huge 7x7 opening book. In particular, we report the twenty wins (out of twenty games) that ...

We propose a novel batch active learning method that leverages the availability of high-quality and efficient sequential active-learning policies by approximating their behavior when applied for k steps. Specifically, our algorithm uses MonteCarlo simulation to estimate the distribution of unlabeled examples selected by a sequential policy over k steps. The algorithm then selects k examples tha...

This paper proposes a method of estimating and simulating a maximum entropy distribution given moment conditions based on MonteCarlo approach. The method provides an simple alternative to conventional calculation methods of maximum entropy densities which involve complex numerical integration and are subject to occasional failure. We first show that maximum entropy density on a random sample co...