8 cores

code/NR_Interpolate-0001_t_10M.py

@@ -39,12 +39,12 @@ tshift=10
 vary_fund = True
 
 #sampler parameters
-npoints = 100
-nwalkers = 50
+npoints = 600
+nwalkers = 300
 ntemps=16
 dim = nmax+1
 ndim = 4*dim
-burnin = 50  #How many points do you burn before doing the corner plot. You need to watch the convergence of the chain plot a bit.
+burnin = 300  #How many points do you burn before doing the corner plot. You need to watch the convergence of the chain plot a bit.
             #This is trivial but often forgotten: this cannot be more than npoints! I usually use half the points.
 numbins = 42 #corner plot parameter - how many bins you want
 datacolor = '#105670' #'#4fa3a7'
@@ -175,7 +175,7 @@ def log_prior(theta):
         if all([-0.06 <= alpha0 <= 0.06, -0.32 <= alpha1 <= -0.08, -0.19 <= beta0 <= 1.0, 0. <= beta1 <= 1.5, 0 <= xvar0 <= 1.1, 0 <= xvar1 <= 1.2, -np.pi <= yvar0 <= np.pi, -np.pi <= yvar1 <= np.pi]):        
             return 0.0
     elif tshift == 10:
-        if all([-0.08 <= alpha0 <= 0.12, -0.6 <= alpha1 <= 0.4, -0.3 <= beta0 <= 1.5, -1. <= beta1 <= 3.2, 0 <= xvar0 <= 1.1, 0 <= xvar1 <= 1.2, -np.pi <= yvar0 <= np.pi, -np.pi <= yvar1 <= np.pi]):        
+        if all([-0.04 <= alpha0 <= 0.04, -0.1 <= alpha1 <= 0.15, -0.4 <= beta0 <= 0.4, -1. <= beta1 <= 2, 0 <= xvar0 <= 1.1, 0 <= xvar1 <= 1.2, -np.pi <= yvar0 <= np.pi, -np.pi <= yvar1 <= np.pi]):        
             return 0.0
     """
     if nmax == 0: