work2D

[mariajmellado]

### Last update research

Is about to automatize the search of the best parameters for SE Kernel of the GP.
The automatization is implemented with scipy.minimize routine given the expression
P(m,c,l|V) = P(m,c,l)^2 *(|2πN|^ -1/2) *(|2πS|^ -1/2) * (|2πD|^ 1/2) * exp(j^T D j/2) * exp( - V^T N^-1 V/2 ) / P(V)

Where P(m, c, l) = P(m)P(c)P(l) where P(m) and P(c) are uniformative priors and P(l) is an inverse gamma prior.
I also added the file that I'm running to obtain the fit, just in case.