sampling sampling it at temperature one and that's exactly what the longevity algorithm aims at and the second estimator i will be looking at is the kind of more common one maximum likelihood estimator that is computing the minimizer of that loss function of the or the ground state of the statistical physics model and that's what the gradient descent or flow aims at so just to get a little bit more familiar with this model so if you listened to the bootcamp lecture you would you know we told you about set of tools