I met an error when running CosmoMC:
Code: Select all
Program received signal SIGSEGV: Segmentation fault - invalid memory reference.
Backtrace for this error:
Could not print backtrace: mmap, errno: 12
Could not print backtrace: mmap, errno: 12
Could not print backtrace: mmap, errno: 12
#0 0x7ff65f4bb2ed in ???
#1 0x7ff65f4ba503 in ???
#2 0x7ff65e8eef1f in ???
#3 0x7ff65e944083 in ???
#4 0x7ff65e944fef in ???
#5 0x7ff65e9472ec in ???
#6 0x7ff66119b79a in ???
#7 0x7ff66119d594 in ???
#8 0x7ff6611a807a in ???
#9 0x7ff66108bf0a in ???
#10 0x7ff661076e05 in ???
#11 0x7ff66110dfb4 in ???
#12 0x7ff66110bf0f in ???
#13 0x7ff661054638 in ???
#14 0x7ff66105561a in ???
#15 0x7ff66105812e in ???
#16 0x7ff66106a260 in ???
#17 0x7ff661112a9d in ???
#18 0x7ff66101416e in ???
#19 0x7ff65e8d1b96 in ???
#20 0x7ff6610141c9 in ???
#21 0xffffffffffffffff in ???
--------------------------------------------------------------------------
mpirun noticed that process rank 1 with PID 0 on node MSI exited on signal 11 (Segmentation fault).
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Code: Select all
DEFAULT(batch3/plik_rd12_HM_v22_TT.ini)
#low-L temperature
DEFAULT(batch3/lowl.ini)
#low-L EE polarization
DEFAULT(batch3/simall_EE.ini)
#DEFAULT(batch2/lowTEB.ini)
#BAO compilation
DEFAULT(batch3/BAO.ini)
#Pantheon SN
#DEFAULT(batch3/Pantheon18.ini)
#general settings
DEFAULT(batch3/common.ini)
#e.g. to vary r in addition to standard 6:
#(for r>0 also need compute_tensors=T)
#compute_tensors = T
#param[r] = 0.03 0 2 0.04 0.04
#high for new runs, to start learning new proposal matrix quickly
MPI_Max_R_ProposeUpdate = 30
propose_matrix= planck_covmats/base_TT_lensing_lowE_lowl_plikHM.covmat
#Folder where files (chains, checkpoints, etc.) are stored
root_dir = chains/
#Root name for files produced
file_root=mytest
#action= 0 runs chains, 1 importance samples, 2 minimizes
#use action=4 just to quickly test likelihoods
action = 0
#Don't need to set this if OMP_NUM_THREADS set appropriately
num_threads = 0
#if you want to get theory cl for test point
#test_output_root = output_cl_root
start_at_bestfit =F
feedback=1
use_fast_slow = T
#turn on checkpoint for real runs where you want to be able to continue them
checkpoint = T
#sampling_method=7 is a new fast-slow scheme good for Planck
sampling_method = 7
dragging_steps = 3
propose_scale = 2
#Set >0 to make data files for importance sampling
indep_sample=10
#these are just small speedups for testing
get_sigma8=T