Mason Ng
Joined: 17 May 2017 Posts: 25 Affiliation: The University of Auckland

Posted: September 07 2017 


I am doing a quick test run with ModeChord where I am calculating the Bayesian evidences for the inflationary models with potentials m^{2}φ^{2} and λφ^{4.} When I run these and plot the chains, I get a very suspiciouslooking triangle plot.
As seen above, the parameters related to inflation (ns, r, log(m^{2})*) have a really tight distribution. This is not seen in tau. I did not put this in the plot I attached, but log(As) does not have a tight distribution (i.e. something more sensible).
I was wondering if anyone has any idea about this? I attach a sample .ini file below. In one of the lines, note that I had "compute_tensors=T". This was set to F for /that/ triangle plot. It was only after I generated that triangle plot did I realize that compute_tensors should probably be set to T. I am also testing right now if putting a prior on N_{pivot} would change things too. I'm running the code again, but I'm just wondering if anyone has any further comments on this, and/or if that was the last thing I missed.
* Note 1: I know that lphi4 uses λ for vpar1 and m2phi2 uses m^{2.} I was just doing a quick plot.
Code:  #Use Planck 2015 likelihoods
DEFAULT(./batch2/plik_dx11dr2_HM_v18_TT.ini) #highl likelihood
DEFAULT(./batch2/lowl.ini) #lowl likelihood; low TT WITHOUT Pol
DEFAULT(./batch2/lensing.ini) #for lensing
#DEFAULT(./batch2/BKPlanck.ini)
#other likelihoods
#DEFAULT(./batch2/BAO.ini)
#general settings
DEFAULT(./batch2/common.ini)
## INFLATION MODEL TO USE
#DEFAULT(Models/m2phi2/m2phi2.ini)
DEFAULT(Models/lphi4/lphi4.ini)
## Reheating settings:
## Instant reheating
DEFAULT(batch2/modecode_inst.ini)
## Defaults
DEFAULT(batch2/modecode_defaults.ini)
DEFAULT(batch2/modecode_adjustments.ini)
# Many model parameters can be 'unphysical'.
# We make use of cosmomc's logzero functionality, but this requires that it
# doesn't stop when it hits an error
stop_on_error= F
#high for new runs
MPI_Max_R_ProposeUpdate = 30
propose_matrix = ./planck_covmats/base_TT_lensing_lowl_plik.covmat
#folder where files (chains, checkpoints, etc.) are stored
root_dir = ./chains/
#root name for the files produced
file_root = lphi4_tensors_cal
#action = 0 to MCMC, action = 1 to postprocess .data file
#action = 1 for important samples, action = 4 to quickly test likelihoods
#action = 5 for the PolyChord sampler
action = 5
DEFAULT(batch2/polychord.ini)
nlive = 500
num_threads = 8
#to get theory cl for test point
test_output_root = output_cl_root
start_at_bestfit = F
feedback = 1
use_fast_slow = T
checkpoint = T
#sampling_method = 7 is a new fastslow scheme good for Planck
sampling_method = 7
dragging_steps = 3
propose_scale = 2
#Set >0 to make data files for importance sampling
#26 August  don't need this yet
indep_sample = 0
#small speedups for testing
get_sigma8 = F
#already F in batch2/modecode_adjustments.ini
#REMEMBER, to use lensing, turn OFF semi slow parameters.
######## Semi Slow parameters ON #############
# Turn on semislow parameters
#use_nonlinear_lensing = F
#block_semi_fast = T
# Set up the fraction of time to spend on each type of parameter
#nest_frac_slow = 0.75
#nest_frac_semi_slow = 0.20
#nest_frac_semi_fast = 0.00
#nest_frac_fast = 0.05
######## Semi Slow parameters OFF #############
# Remove the equivalent lines directly above, and uncomment
# the lines below in order to turn on nonlinear lensing
# (and turn off semi slow parameters)
# # Turn off semislow parameters
use_nonlinear_lensing = T
block_semi_fast = F
#
# # Set up the fraction of time to spend on each parameter
nest_frac_slow = 0.95
nest_frac_semi_slow = 0.00
nest_frac_semi_fast = 0.00
nest_frac_fast = 0.05
## priors for physical parameters
H0_min = 20
H0_max = 100
#to vary parameters, set param[name] = center, min, max, start width, propose_width
#for fixed, can just fix fixed value
## ModeCodemodified prior ranges
#param[omegach2] = 0.12 0.08 0.16 0.001 0.002
#param[omegabh2] = 0.02225 0.02 0.025 0.0001 0.0002
#param[theta] = 1.0411 1.00 1.08 0.0004 0.0004
#param[tau] = 0.09 0.05 0.13 0.001 0.001
#neutrino_hierarchy = degenerate
#num_massive_neutrinos = 1
#param[mnu] = 0.06
#param[omegak] = 0
#param[w] = 0
#param[r] = 0
#param[nrun] = 0
#param[nrunrun] = 0
#MODIFIED P(K)
#inflationary potential parameters
#N_pivot
param[N_pivot] = 50
#vparams array
param[vpar1] = 13.4 16.0 10.0 0.1 0.1
param[vpar2] = 0
param[vpar3] = 0
param[vpar4] = 0
param[vpar5] = 0
param[vpar6] = 0
param[vpar7] = 0
param[vpar8] = 0
param[vpar9] = 0
param[vpar10] = 0
param[vpar11] = 0
param[vpar12] = 0
param[vpar13] = 0
param[vpar14] = 0
param[vpar15] = 0
param[vpar16] = 0
param[vpar17] = 0
param[vpar18] = 0
param[vpar19] = 0
param[vpar20] = 0
# END MODIFIED P(K)
param[omegabh2] = 0.02225 0.02 0.025 0.0001 0.0001
param[omegach2] = 0.12 0.08 0.16 0.001 0.0005
param[theta] = 1.0411 1.00 1.08 0.0004 0.0004
param[tau] = 0.09 0.01 0.20 0.001 0.001
param[logA] = 3.1 2.5 3.5 0.001 0.001
#log[10^10 A_s]
param[ns] = 0.96 0.8 1.2 0.004 0.002
inflation_consistency = T
param[omegak] = 0
param[w] = 1
#altered on 7 Sept
param[r] = 0.03 0 2 0.001 0.001
compute_tensors = T
#
param[nrun] = 0
param[nrunrun] = 0
neutrino_hierachy = degenerate
num_massive_neutrinos = 1
param[mnu] = 0.06 

