anchor.diff:      ! is as close to the target efficiency (set by efr) as possible. 
       ! This does mean however, that the evidence value may not be accurate.
   	logical nest_ceff
  - 	parameter(nest_ceff=.false.)
  + 	parameter(nest_ceff=.true.)
   	
       !max no. of live points
       integer nest_nlive
  
positive.code:     type(ExpSquaredKernel), target :: k5
      type(ExpSineSquaredKernel), target :: k6
      type(SumKernels), target :: k7
      type(GP) gp1
      class(Kernel), pointer :: kernel_to_pass
  
  
negative.code:     ! defines the sampling efficiency. 0.8 and 0.3 are recommended for 
      ! parameter estimation & evidence evaluation respectively.
      double precision nest_efr
      parameter(nest_efr=0.8d0)
        
      !root for saving posterior files
      character*100 nest_root
  