We present two new algorithms for the estimation of the temperature from a realization of a 2-D Ising model. The methods here introduced are based in the maximization of pseudo likelihood and on the minimum mean squared error (MSE) fit of the conditional probability function. We derive the analytical expressions of these estimators and also we include computational results comparing these new techniques with the traditional method. A very good performance in terms of the average absolute error and the average standard deviation is demonstrated through simulations in a 100 x 100 lattice in the ferromagnetic and anti ferromagnetic cases. Summarizing, we have provided two new useful computational tools that allow us to measure the "virtual" temperature of an Ising like system.
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机译：我们提出了两种新的算法，用于根据二维Ising模型的实现来估算温度。这里介绍的方法是基于伪似然的最大化和条件概率函数的最小均方误差（MSE）拟合。我们导出了这些估计量的解析表达式，并且还包括了将这些新技术与传统方法进行比较的计算结果。在铁磁和反铁磁情况下，通过在100 x 100晶格中进行仿真，证明了在平均绝对误差和平均标准偏差方面的出色性能。总而言之，我们提供了两个新的有用的计算工具，使我们能够测量像Ising这样的系统的“虚拟”温度。
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