Options.txt

***** switches to control the parameter space exploration **************	
***** Switches should be BINARY NUMBERS 0/1 EXCEPT FOR #2 #4, #5) ****** 

CHANGE ONLY THE NUMERICAL VALUES IN THIS FILE!

!1) grid exploration (0) or MCMC Metropolis-Hastings algorithm (1)?
 
  nmcmc = 1  

!2) Number of points in the MCMC run sampling
  Nsample = 100000

#*************** LENSING PARAMETERS ************************************
!3) Forecasts with additional (lensing) information for rs and r200
add a lensing probability distribution to the likelihood  (only NFW)    
!NOTE: for Vainshtein screening, it computes the full tangential shear profile
nlens = 1

  
!4) r200t,rst: "true" values for the parameters in the lensing likelihood 
r200t = 1.41
rst = 0.33

!5) sigma(r200)/r200, sigma(r_s)/r_s, correlation of lensing priors for 
the case of Chameleon screening and linear Horndeski. 
! Sigma_ell, sigma_lss, ngal for Vainsthein lensing simulation.
delta1 = 0.25
delta2 = 0.005
delta3 = 30.0

#**********************parameters limit (priors)************************

!6) kpro: if required, the parameter search is made between given intervals
kpro = 1
  
#**************************** JOINT ANALYSIS ***************************   

!7)You can read several cluster data at the same time and compute directly 
the cumulative likelihood at each point. How many clusters (Nclust) do you want?
Nclust = 1              !NOTE: it should be \le than the number of files in the data directory

!8) If required, you can compute the likelihood
over Nclust copies of the same cluster data-set (Y/N)
nsingle = 0

#*************************** ADDITIONAL OPTIONS ************************
!9) If desired, the program stops if the likelihoods and the best 
fit parameters found by the optimization are not 
close to the guess values Y/N=1/0

istop = 0  !NOTE: THIS WORKS ONLY IF THE OPTIMIZATION PARAMETER IS DIFFERENT FROM -1

!tolerance for relative difference between expected and fitted values:             
teps = 0.1 0.1 0.1 0.1 0.1 0.1 0.1
delik = 0.30  !treshold for the delta log likelihood to stop


!10) In the case of grid exploration, set the starting grid values to
 the guess value (skip optimization results) Y/N=1/0 
nskip = 0

!11) For grid exploration, run over a finer grid  Y/N=1/0  
nres = 0 
      
!12) For grid search over different clusters, run always on the same values of the parameters  Y/N=1/0
nequ = 0  

!13) Compute the likelihoods on the input values of the parameters, given from a file Y/N=1/0
  nsame = 0