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espanolEl metodo Monte Carlo es una herramienta util para simular y entender procesos aleatorios en la naturaleza. Generalmente, muchos de estos procesos son dificiles de resolver por medio de expresiones analiticas, debido a que no conocemos la mayoria de las variables involucradas en el proceso. El nucleo de Monte Carlo consiste en generar variables aleatorias, que representan variables fisicas (observables), a traves de su funcion de distribucion de probabilidad (FDP); esto es, cada observable esta gobernada por una ley de probabilidad para obtener un determinado valor, dentro de un intervalo especifico. Especialmente, en los datos obtenidos de retornos Lidar obtenemos informacion del dispersor a partir de la radiacion retrodispersada al receptor. Esta porcion de radiacion retrodispersada es una pequena parte de la funcion que describe el esparcimiento total en el espacio. Esta funcion es llamada la "funcion de fase" y tiene una dependencia particular del tamano, indice de refraccion y forma del dispersor. En este trabajo se presentan resultados numericos al considerar diferentes funciones de fase, en la simulacion de retornos Lidar, a traves del metodo Monte Carlo. EnglishMonte Carlo method (MCM) is a useful tool to simulate and understand random process in the nature. Many of this process are difficult to solve by means of analytic expressions, due we do not know many of its variables involved in the process. The core of MCM is to generate random variables, which represent physical variables, through of its probability distribution function (PDF). Every random physical variable has a law of probability to obtain a certain value, within a specific interval. Specially, in the data obtained by lidar returns, we got information of the type of scatterer from the radiation backscatter to receiver. This portion of backscatter radiation is a little part of the function that describes the total scattering in radians. This function is called "phase function" and has a particular way depending on size, refractive index, shape, etc. of the scatterer. In this work we present the numerical results to consider different phase functions in the simulation of lidar returns, through of MCM.

Numerical results of Monte Carlo code in lidar returns considering polarization of light and different phase functions