I wanted to run cobaya with EDE modifying the .ini file that the CAMB that cobaya uses reads. How can I make cobaya read a modified .ini file for CAMB?
Thank you!
Modifyng CAMB with Cobaya
-
Antony Lewis
- Posts: 1984
- Joined: September 23 2004
- Affiliation: University of Sussex
- Contact:
Re: Modifyng CAMB with Cobaya
You need to pass the relevant parameters via the Cobaya input yaml file.
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Helena Garcia
- Posts: 29
- Joined: October 05 2021
- Affiliation: UCI
Re: Modifyng CAMB with Cobaya
That is what I did! I followed the instructions if the documentation. I added the extra parameters of modified CAMB in the theory block and in the params block (I paste the modified part of the .yaml file at the end of this message). But when I run cobaya I get the following error:
cobaya.log.LoggedError: Could not find anything to use input parameter(s) {'extra_param_1', 'extra_param_2'}.
I want to modify the dark energy model, if I was running CAMB I would input a different .ini file (setting dark_energy_model = 'EarlyQuintessence' ), but I don't know how to do this with cobaya. Do you know how can I get cobaya to identify the extra input parameters?
Thank you in advance!
cobaya.log.LoggedError: Could not find anything to use input parameter(s) {'extra_param_1', 'extra_param_2'}.
I want to modify the dark energy model, if I was running CAMB I would input a different .ini file (setting dark_energy_model = 'EarlyQuintessence' ), but I don't know how to do this with cobaya. Do you know how can I get cobaya to identify the extra input parameters?
Thank you in advance!
Code: Select all
theory:
camb:
extra_args:
extra_param_1:
extra_param_2:
params:
extra_param_1:
prior:
min: 0
max: 1
ref:
dist: norm
loc: 0.5
scale: 0.1
proposal: 0.05
latex: '{\rm{extra_param_1}}'
extra_param_2:
prior:
min: 0
max: 1
ref:
dist: norm
loc: 0.5
scale: 0.1
proposal: 0.05
latex: '{\rm{extra_param_2}}'-
Antony Lewis
- Posts: 1984
- Joined: September 23 2004
- Affiliation: University of Sussex
- Contact:
Re: Modifyng CAMB with Cobaya
There's no parameter called "extra_param_1" in the supplied CAMB.
you need to set dark_energy_model in the extra_args input, and use the actual parameter names when sampling (not in extra_args).
you need to set dark_energy_model in the extra_args input, and use the actual parameter names when sampling (not in extra_args).
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Helena Garcia
- Posts: 29
- Joined: October 05 2021
- Affiliation: UCI
Re: Modifyng CAMB with Cobaya
Thank you so much! I got it running now, but I still have an issue when using the minimizer. I get this error
calc_zc_fde: NO PEAK
[0 : minimize] *ERROR* Cannot reproduce log minimum to within 0.01. Maybe your likelihood is stochastic or large numerical error? Recomputed min: -inf (was -1.79769e+308) at array([3.05057809e+00, 9.69716464e-01, 1.04123281e+00, 2.22220221e-02,..])
Do you know what can be wrong?
Here is my .yaml file
calc_zc_fde: NO PEAK
[0 : minimize] *ERROR* Cannot reproduce log minimum to within 0.01. Maybe your likelihood is stochastic or large numerical error? Recomputed min: -inf (was -1.79769e+308) at array([3.05057809e+00, 9.69716464e-01, 1.04123281e+00, 2.22220221e-02,..])
Do you know what can be wrong?
Here is my .yaml file
Code: Select all
theory:
camb:
extra_args:
halofit_version: mead
bbn_predictor: PArthENoPE_880.2_standard.dat
lens_potential_accuracy: 1
num_massive_neutrinos: 1
nnu: 3.046
theta_H0_range:
- 20
- 100
dark_energy_model: EarlyQuintessence
n: 3
likelihood:
planck_2018_lowl.TT: null
planck_2018_lowl.EE: null
planck_2018_highl_plik.TTTEEE: null
bao.sdss_dr16_baoplus_lrg: null
bao.sdss_dr16_baoplus_lyauto: null
bao.sdss_dr16_baoplus_lyxqso: null
bao.sdss_dr16_baoplus_qso: null
params:
logA:
prior:
min: 1.61
max: 3.91
ref:
dist: norm
loc: 3.05
scale: 0.001
proposal: 0.001
latex: \log(10^{10} A_\mathrm{s})
drop: true
As:
value: 'lambda logA: 1e-10*np.exp(logA)'
latex: A_\mathrm{s}
ns:
prior:
min: 0.8
max: 1.2
ref:
dist: norm
loc: 0.965
scale: 0.004
proposal: 0.002
latex: n_\mathrm{s}
theta_MC_100:
prior:
min: 0.5
max: 10
ref:
dist: norm
loc: 1.04109
scale: 0.0004
proposal: 0.0002
latex: 100\theta_\mathrm{MC}
drop: true
renames: theta
cosmomc_theta:
value: 'lambda theta_MC_100: 1.e-2*theta_MC_100'
derived: false
H0:
latex: H_0
min: 20
max: 100
ombh2:
prior:
min: 0.005
max: 0.1
ref:
dist: norm
loc: 0.0224
scale: 0.0001
proposal: 0.0001
latex: \Omega_\mathrm{b} h^2
omch2:
prior:
min: 0.001
max: 0.99
ref:
dist: norm
loc: 0.12
scale: 0.001
proposal: 0.0005
latex: \Omega_\mathrm{c} h^2
omegam:
latex: \Omega_\mathrm{m}
omegamh2:
derived: 'lambda omegam, H0: omegam*(H0/100)**2'
latex: \Omega_\mathrm{m} h^2
mnu: 0.06
YHe:
latex: Y_\mathrm{P}
Y_p:
latex: Y_P^\mathrm{BBN}
DHBBN:
derived: 'lambda DH: 10**5*DH'
latex: 10^5 \mathrm{D}/\mathrm{H}
tau:
prior:
min: 0.01
max: 0.8
ref:
dist: norm
loc: 0.055
scale: 0.006
proposal: 0.003
latex: \tau_\mathrm{reio}
zre:
latex: z_\mathrm{re}
sigma8:
latex: \sigma_8
s8h5:
derived: 'lambda sigma8, H0: sigma8*(H0*1e-2)**(-0.5)'
latex: \sigma_8/h^{0.5}
s8omegamp5:
derived: 'lambda sigma8, omegam: sigma8*omegam**0.5'
latex: \sigma_8 \Omega_\mathrm{m}^{0.5}
s8omegamp25:
derived: 'lambda sigma8, omegam: sigma8*omegam**0.25'
latex: \sigma_8 \Omega_\mathrm{m}^{0.25}
A:
derived: 'lambda As: 1e9*As'
latex: 10^9 A_\mathrm{s}
clamp:
derived: 'lambda As, tau: 1e9*As*np.exp(-2*tau)'
latex: 10^9 A_\mathrm{s} e^{-2\tau}
age:
latex: '{\rm{Age}}/\mathrm{Gyr}'
rdrag:
latex: r_\mathrm{drag}
fde_zc:
prior:
min: 0
max: 0.5
ref:
dist: norm
loc: 0.1
scale: 0.01
proposal: 0.005
latex: '{\rm{fde_zc}}'
zc:
prior:
min: 0
max: 100000
ref:
dist: norm
loc: 10000
scale: 0.1
proposal: 0.05
latex: '{\rm{criticalz}}'
sampler:
minimize:
method: bobyqa
ignore_prior: False
max_evals: 1e6d
best_of: 2
confidence_for_unbounded: 0.9999995
output: /volumes/data2/cobaya/
debug: true-
Ali Rida Khalife
- Posts: 18
- Joined: October 31 2022
- Affiliation: Institut d'Astrophysique de Paris
Re: Modifyng CAMB with Cobaya
Hello!
I'm having the same error. Did you manage to solve it in the end? If yes, could you please describe how?
Thanks!
I'm having the same error. Did you manage to solve it in the end? If yes, could you please describe how?
Thanks!
-
Antony Lewis
- Posts: 1984
- Joined: September 23 2004
- Affiliation: University of Sussex
- Contact:
Re: Modifyng CAMB with Cobaya
If the code cannot solve your model for z_c, you may need to change the definition of the parameters that are used for sampling. If mcmc works but minimize is not, maybe the parameters are getting out of the range where this works somehow.
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Ali Rida Khalife
- Posts: 18
- Joined: October 31 2022
- Affiliation: Institut d'Astrophysique de Paris
Re: Modifyng CAMB with Cobaya
So the code is sampling, but then it produces this
And here's the log file:
and then it crashes with a segmentation fault. Here's the yaml file I'm using:calc_zc_fde: NO PEAK
Code: Select all
output: EDE_Plk/CAMB
resume: True
timing: True
debug: True
theory:
camb:
extra_args:
halofit_version: mead
bbn_predictor: PArthENoPE_880.2_standard.dat
lens_potential_accuracy: 1
num_massive_neutrinos: 1
nnu: 3.046
theta_H0_range:
- 20
- 100
dark_energy_model: 'EarlyQuintessence'
use_zc: True
n: 3
AccuracyBoost: 2
#f: 0.05
#m: 5E-27
likelihood:
planck_2018_lowl.TT: null
planck_2018_lowl.EE: null
planck_2018_highl_plik.TTTEEE: null
planck_2018_lensing.clik: null
params:
logA:
prior:
min: 1.61
max: 3.91
ref:
dist: norm
loc: 3.05
scale: 0.001
proposal: 0.001
latex: \log(10^{10} A_\mathrm{s})
drop: true
As:
value: 'lambda logA: 1e-10*np.exp(logA)'
latex: A_\mathrm{s}
ns:
prior:
min: 0.8
max: 1.2
ref:
dist: norm
loc: 0.965
scale: 0.004
proposal: 0.002
latex: n_\mathrm{s}
theta_MC_100:
prior:
min: 0.5
max: 10
ref:
dist: norm
loc: 1.04109
scale: 0.0004
proposal: 0.0002
latex: 100\theta_\mathrm{MC}
drop: true
renames: theta
cosmomc_theta:
value: 'lambda theta_MC_100: 1.e-2*theta_MC_100'
derived: false
H0:
latex: H_0
min: 20
max: 100
ombh2:
prior:
min: 0.005
max: 0.1
ref:
dist: norm
loc: 0.0224
scale: 0.0001
proposal: 0.0001
latex: \Omega_\mathrm{b} h^2
omch2:
prior:
min: 0.001
max: 0.99
ref:
dist: norm
loc: 0.12
scale: 0.001
proposal: 0.0005
latex: \Omega_\mathrm{c} h^2
omegam:
latex: \Omega_\mathrm{m}
omegamh2:
derived: 'lambda omegam, H0: omegam*(H0/100)**2'
latex: \Omega_\mathrm{m} h^2
mnu: 0.06
omega_de:
latex: \Omega_\Lambda
YHe:
latex: Y_\mathrm{P}
Y_p:
latex: Y_P^\mathrm{BBN}
DHBBN:
derived: 'lambda DH: 10**5*DH'
latex: 10^5 \mathrm{D}/\mathrm{H}
tau:
prior:
min: 0.01
max: 0.8
ref:
dist: norm
loc: 0.055
scale: 0.006
proposal: 0.003
latex: \tau_\mathrm{reio}
zrei:
latex: z_\mathrm{re}
sigma8:
latex: \sigma_8
s8h5:
derived: 'lambda sigma8, H0: sigma8*(H0*1e-2)**(-0.5)'
latex: \sigma_8/h^{0.5}
s8omegamp5:
derived: 'lambda sigma8, omegam: sigma8*omegam**0.5'
latex: \sigma_8 \Omega_\mathrm{m}^{0.5}
s8omegamp25:
derived: 'lambda sigma8, omegam: sigma8*omegam**0.25'
latex: \sigma_8 \Omega_\mathrm{m}^{0.25}
A:
derived: 'lambda As: 1e9*As'
latex: 10^9 A_\mathrm{s}
clamp:
derived: 'lambda As, tau: 1e9*As*np.exp(-2*tau)'
latex: 10^9 A_\mathrm{s} e^{-2\tau}
age:
latex: '{\rm{Age}}/\mathrm{Gyr}'
rdrag:
latex: r_\mathrm{drag}
fde_zc:
prior:
min: 0
max: 0.5
ref:
dist: norm
loc: 0.1
scale: 0.04
proposal: 0.02
latex: '{\rm{fde_zc}}'
zc:
prior:
min: 1000
max: 32000
ref:
dist: norm
loc: 4200
scale: 10
proposal: 5
latex: '{\rm{criticalz}}'
theta_i:
prior:
min: 0
max: 5
ref:
dist: norm
loc: 2.2
scale: 0.6
proposal: 0.2
sampler:
mcmc:
output_every: 1
drag: true
oversample_power: 0.4
proposal_scale: 1.9
covmat: auto
Rminus1_stop: 0.02
Rminus1_cl_stop: 0.4Code: Select all
[0 : output] Output to be read-from/written-into folder 'EDE_Plk', with prefix 'CAMB'
[0 : output] Found existing info files with the requested output prefix: 'EDE_Plk/CAMB'
[0 : output] Will delete previous products ('force' was requested).
[0 : prior] *WARNING* External prior 'SZ' loaded. Mind that it might not be normalized!
[0 : camb] `camb` module loaded successfully from /automnt/data83/NEUCosmos/khalife/Codes/code/CAMB/camb
[1 : camb] `camb` module loaded successfully from /automnt/data83/NEUCosmos/khalife/Codes/code/CAMB/camb
[2 : camb] `camb` module loaded successfully from /automnt/data83/NEUCosmos/khalife/Codes/code/CAMB/camb
[0 : planck_2018_lowl.tt] `clik` module loaded successfully from /automnt/data83/NEUCosmos/khalife/Codes/cliks/clik-15.1/lib/python/site-packages/clik
[1 : planck_2018_lowl.tt] `clik` module loaded successfully from /automnt/data83/NEUCosmos/khalife/Codes/cliks/clik-15.1/lib/python/site-packages/clik
[2 : planck_2018_lowl.tt] `clik` module loaded successfully from /automnt/data83/NEUCosmos/khalife/Codes/cliks/clik-15.1/lib/python/site-packages/clik
----
clik version clik_15.0-8-g8eaebd55f2cd
gibbs_gauss b13c8fda-1837-41b5-ae2d-78d6b723fcf1
----
clik version clik_15.0-8-g8eaebd55f2cd
gibbs_gauss b13c8fda-1837-41b5-ae2d-78d6b723fcf1
----
clik version clik_15.0-8-g8eaebd55f2cd
gibbs_gauss b13c8fda-1837-41b5-ae2d-78d6b723fcf1
Checking likelihood '/data83/NEUCosmos/khalife/Codes/data/planck_2018/baseline/plc_3.0/low_l/commander/commander_dx12_v3_2_29.clik' on test data. got -11.6257 expected -11.6257 (diff -1.07424e-09)
----
Checking likelihood '/data83/NEUCosmos/khalife/Codes/data/planck_2018/baseline/plc_3.0/low_l/commander/commander_dx12_v3_2_29.clik' on test data. got -11.6257 expected -11.6257 (diff -1.07424e-09)
----
Checking likelihood '/data83/NEUCosmos/khalife/Codes/data/planck_2018/baseline/plc_3.0/low_l/commander/commander_dx12_v3_2_29.clik' on test data. got -11.6257 expected -11.6257 (diff -1.07424e-09)
----
[0 : planck_2018_lowl.ee] `clik` module loaded successfully from /automnt/data83/NEUCosmos/khalife/Codes/cliks/clik-15.1/lib/python/site-packages/clik
[1 : planck_2018_lowl.ee] `clik` module loaded successfully from /automnt/data83/NEUCosmos/khalife/Codes/cliks/clik-15.1/lib/python/site-packages/clik
[2 : planck_2018_lowl.ee] `clik` module loaded successfully from /automnt/data83/NEUCosmos/khalife/Codes/cliks/clik-15.1/lib/python/site-packages/clik
Initializing SimAll
Initializing SimAll
Initializing SimAll
----
clik version clik_15.0-8-g8eaebd55f2cd
simall simall_EE_BB_TE
----
clik version clik_15.0-8-g8eaebd55f2cd
simall simall_EE_BB_TE
----
clik version clik_15.0-8-g8eaebd55f2cd
simall simall_EE_BB_TE
Checking likelihood '/data83/NEUCosmos/khalife/Codes/data/planck_2018/baseline/plc_3.0/low_l/simall/simall_100x143_offlike5_EE_Aplanck_B.clik' on test data. got -197.99 expected -197.99 (diff -4.1778e-08)
----
Checking likelihood '/data83/NEUCosmos/khalife/Codes/data/planck_2018/baseline/plc_3.0/low_l/simall/simall_100x143_offlike5_EE_Aplanck_B.clik' on test data. got -197.99 expected -197.99 (diff -4.1778e-08)
----
Checking likelihood '/data83/NEUCosmos/khalife/Codes/data/planck_2018/baseline/plc_3.0/low_l/simall/simall_100x143_offlike5_EE_Aplanck_B.clik' on test data. got -197.99 expected -197.99 (diff -4.1778e-08)
----
[2 : planck_2018_highl_plik.ttteee] `clik` module loaded successfully from /automnt/data83/NEUCosmos/khalife/Codes/cliks/clik-15.1/lib/python/site-packages/clik
[1 : planck_2018_highl_plik.ttteee] `clik` module loaded successfully from /automnt/data83/NEUCosmos/khalife/Codes/cliks/clik-15.1/lib/python/site-packages/clik
[0 : planck_2018_highl_plik.ttteee] `clik` module loaded successfully from /automnt/data83/NEUCosmos/khalife/Codes/cliks/clik-15.1/lib/python/site-packages/clik
----
clik version clik_15.0-8-g8eaebd55f2cd
smica
----
clik version clik_15.0-8-g8eaebd55f2cd
smica
----
clik version clik_15.0-8-g8eaebd55f2cd
smica
Checking likelihood '/data83/NEUCosmos/khalife/Codes/data/planck_2018/baseline/plc_3.0/hi_l/plik/plik_rd12_HM_v22b_TTTEEE.clik' on test data. got -1172.47 expected -1172.47 (diff -4.34054e-07)
----
Checking likelihood '/data83/NEUCosmos/khalife/Codes/data/planck_2018/baseline/plc_3.0/hi_l/plik/plik_rd12_HM_v22b_TTTEEE.clik' on test data. got -1172.47 expected -1172.47 (diff -4.34053e-07)
----
[1 : planck_2018_lensing.clik] `clik` module loaded successfully from /automnt/data83/NEUCosmos/khalife/Codes/cliks/clik-15.1/lib/python/site-packages/clik
[2 : planck_2018_lensing.clik] `clik` module loaded successfully from /automnt/data83/NEUCosmos/khalife/Codes/cliks/clik-15.1/lib/python/site-packages/clik
Checking likelihood '/data83/NEUCosmos/khalife/Codes/data/planck_2018/baseline/plc_3.0/hi_l/plik/plik_rd12_HM_v22b_TTTEEE.clik' on test data. got -1172.47 expected -1172.47 (diff -4.34053e-07)
----
[0 : planck_2018_lensing.clik] `clik` module loaded successfully from /automnt/data83/NEUCosmos/khalife/Codes/cliks/clik-15.1/lib/python/site-packages/clik
Checking lensing likelihood '/data83/NEUCosmos/khalife/Codes/data/planck_2018/baseline/plc_3.0/lensing/smicadx12_Dec5_ftl_mv2_ndclpp_p_teb_consext8.clik_lensing' on test data. got -4.42102
Checking lensing likelihood '/data83/NEUCosmos/khalife/Codes/data/planck_2018/baseline/plc_3.0/lensing/smicadx12_Dec5_ftl_mv2_ndclpp_p_teb_consext8.clik_lensing' on test data. got -4.42102
Checking lensing likelihood '/data83/NEUCosmos/khalife/Codes/data/planck_2018/baseline/plc_3.0/lensing/smicadx12_Dec5_ftl_mv2_ndclpp_p_teb_consext8.clik_lensing' on test data. got -4.42102
[2 : mcmc] Getting initial point... (this may take a few seconds)
[1 : mcmc] Getting initial point... (this may take a few seconds)
[0 : mcmc] Getting initial point... (this may take a few seconds)
[0 : model] Measuring speeds... (this may take a few seconds)
[0 : model] Setting measured speeds (per sec): {planck_2018_lowl.TT: 1710.0, planck_2018_lowl.EE: 5630.0, planck_2018_highl_plik.TTTEEE: 65.5, planck_2018_lensing.clik: 517.0, camb.transfers: 0.195, camb: 0.607}
[0 : mcmc] Dragging with number of interpolating steps:
[0 : mcmc] * 1 : [['theta_MC_100', 'ombh2', 'omch2', 'tau', 'fde_zc', 'zc', 'theta_i'], ['logA', 'ns']]
[0 : mcmc] * 23 : [['A_planck'], ['calib_100T', 'calib_217T', 'A_cib_217', 'xi_sz_cib', 'A_sz', 'ksz_norm', 'gal545_A_100', 'gal545_A_143', 'gal545_A_143_217', 'gal545_A_217', 'ps_A_100_100', 'ps_A_143_143', 'ps_A_143_217', 'ps_A_217_217', 'galf_TE_A_100', 'galf_TE_A_100_143', 'galf_TE_A_100_217', 'galf_TE_A_143', 'galf_TE_A_143_217', 'galf_TE_A_217']]
[0 : mcmc] Covariance matrix selected automatically: {packages_path}/data/planck_supp_data_and_covmats/covmats/base_plikHM_TTTEEE_lowl_lowE_lensing.covmat
[0 : mcmc] Covariance matrix loaded for params ['ombh2', 'omch2', 'theta_MC_100', 'tau', 'logA', 'ns', 'A_planck', 'A_cib_217', 'xi_sz_cib', 'A_sz', 'ps_A_100_100', 'ps_A_143_143', 'ps_A_143_217', 'ps_A_217_217', 'ksz_norm', 'gal545_A_100', 'gal545_A_143', 'gal545_A_143_217', 'gal545_A_217', 'galf_TE_A_100', 'galf_TE_A_100_143', 'galf_TE_A_100_217', 'galf_TE_A_143', 'galf_TE_A_143_217', 'galf_TE_A_217', 'calib_100T', 'calib_217T']
[0 : mcmc] Missing proposal covariance for params ['fde_zc', 'zc', 'theta_i']
[0 : mcmc] Covariance matrix not complete. We will start learning the covariance of the proposal earlier: R-1 = 30 (would be 2 if all params loaded).
[1 : mcmc] Initial point: logA:3.049237, ns:0.9606397, theta_MC_100:1.041005, ombh2:0.0224096, omch2:0.1187131, tau:0.05641889, fde_zc:0.1191923, zc:4192.139, theta_i:2.965275, A_planck:1.001187, calib_100T:1.00115, calib_217T:0.998998, A_cib_217:62.83952, xi_sz_cib:0.05040397, A_sz:8.684164, ksz_norm:1.901204, gal545_A_100:7.313156, gal545_A_143:8.812706, gal545_A_143_217:19.22069, gal545_A_217:86.86567, ps_A_100_100:274.6556, ps_A_143_143:46.83286, ps_A_143_217:65.41392, ps_A_217_217:106.6884, galf_TE_A_100:0.1965717, galf_TE_A_100_143:0.2090315, galf_TE_A_100_217:0.4443052, galf_TE_A_143:0.1697768, galf_TE_A_143_217:0.6507495, galf_TE_A_217:1.858804
[0 : mcmc] Initial point: logA:3.049833, ns:0.9640953, theta_MC_100:1.041178, ombh2:0.02237474, omch2:0.1206368, tau:0.06037543, fde_zc:0.08318263, zc:4201.407, theta_i:2.24477, A_planck:0.9993208, calib_100T:1.000006, calib_217T:0.9975029, A_cib_217:63.77512, xi_sz_cib:0.01366124, A_sz:7.916333, ksz_norm:4.191227, gal545_A_100:6.983335, gal545_A_143:8.814809, gal545_A_143_217:19.043, gal545_A_217:97.76369, ps_A_100_100:202.1501, ps_A_143_143:62.51444, ps_A_143_217:35.85611, ps_A_217_217:95.74191, galf_TE_A_100:0.1333498, galf_TE_A_100_143:0.153631, galf_TE_A_100_217:0.3660849, galf_TE_A_143:0.2177076, galf_TE_A_143_217:0.7676181, galf_TE_A_217:1.753931
[2 : mcmc] Initial point: logA:3.049223, ns:0.9576636, theta_MC_100:1.041503, ombh2:0.02233509, omch2:0.1204348, tau:0.05078489, fde_zc:0.1086363, zc:4208.301, theta_i:2.559472, A_planck:0.9941897, calib_100T:1.000382, calib_217T:0.9977389, A_cib_217:78.98343, xi_sz_cib:0.1513652, A_sz:6.118284, ksz_norm:1.646877, gal545_A_100:6.29323, gal545_A_143:10.1022, gal545_A_143_217:22.41352, gal545_A_217:76.90788, ps_A_100_100:287.3958, ps_A_143_143:66.17432, ps_A_143_217:50.24537, ps_A_217_217:131.827, galf_TE_A_100:0.1131071, galf_TE_A_100_143:0.120637, galf_TE_A_100_217:0.3947619, galf_TE_A_143:0.05798746, galf_TE_A_143_217:0.6069476, galf_TE_A_217:1.994025
[0 : mcmc] Sampling!
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
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last-bestfit= 46.1850144179866
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
[2 : mcmc] Learn + convergence test @ 360 samples accepted.
[2 : likelihoodcollection] Average computation time:
planck_2018_lowl.TT : 0.000266055 s (4893 evaluations, 1.30181 s total)
planck_2018_lowl.EE : 0.000135869 s (4893 evaluations, 0.664807 s total)
planck_2018_highl_plik.TTTEEE : 0.0150708 s (43724 evaluations, 658.954 s total)
planck_2018_lensing.clik : 0.00322109 s (4893 evaluations, 15.7608 s total)
[2 : theorycollection] Average computation time:
camb.transfers : 5.13089 s (845 evaluations, 4335.6 s total)
camb : 1.58266 s (1145 evaluations, 1812.15 s total)
[2 : mcmc] Ready to check convergence and learn a new proposal covmat (waiting for the rest...)
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
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calc_zc_fde: NO PEAK
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calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
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calc_zc_fde: NO PEAK
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calc_zc_fde: NO PEAK
calc_zc_fde: NO PEAK
[i31:300389:0:300389] Caught signal 11 (Segmentation fault: address not mapped to object at address 0x7f342e6113b8)
==== backtrace (tid: 300389) ====
0 /lib64/libucs.so.0(ucs_handle_error+0x2dc) [0x7f383aae3edc]
1 /lib64/libucs.so.0(+0x2b0bc) [0x7f383aae40bc]
2 /lib64/libucs.so.0(+0x2b28a) [0x7f383aae428a]
3 /lib64/libpthread.so.0(+0x12cf0) [0x7f3cb230ecf0]
4 /automnt/data83/NEUCosmos/khalife/Codes/code/CAMB/camb/camblib.so(+0xa65e7) [0x7f382f1575e7]
5 /automnt/data83/NEUCosmos/khalife/Codes/code/CAMB/camb/camblib.so(massivenu_mp_rho_err_+0x14) [0x7f382f3fc034]
6 /automnt/data83/NEUCosmos/khalife/Codes/code/CAMB/camb/camblib.so(+0x1e04dd) [0x7f382f2914dd]
7 /automnt/data83/NEUCosmos/khalife/Codes/code/CAMB/camb/camblib.so(+0x1deefa) [0x7f382f28fefa]
8 /automnt/data83/NEUCosmos/khalife/Codes/code/CAMB/camb/camblib.so(camb_mp_camb_getresults_+0x16ea) [0x7f382f28adda]
9 /automnt/data83/NEUCosmos/khalife/Codes/code/CAMB/camb/camblib.so(handles_mp_cambdata_gettransfers_+0x16) [0x7f382f364a56]
10 /softs/intelpython/intelpython3-2022.2.0.8762/intelpython/python3.9/lib/python3.9/lib-dynload/../../libffi.so.7(+0x84f5) [0x7f3b7c40d4f5]
11 /softs/intelpython/intelpython3-2022.2.0.8762/intelpython/python3.9/lib/python3.9/lib-dynload/../../libffi.so.7(+0x67e6) [0x7f3b7c40b7e6]
12 /softs/intelpython/intelpython3-2022.2.0.8762/intelpython/python3.9/lib/python3.9/lib-dynload/_ctypes.cpython-39-x86_64-linux-gnu.so(+0x16d4d) [0x7f3b7c627d4d]
13 /softs/intelpython/intelpython3-2022.2.0.8762/intelpython/python3.9/lib/python3.9/lib-dynload/_ctypes.cpython-39-x86_64-linux-gnu.so(+0x1888b) [0x7f3b7c62988b]
14 /softs/intelpython/intelpython3-2022.2.0.8762/intelpython/python3.9/bin/python(_PyObject_MakeTpCall+0x32c) [0x55bcd76e588c]
15 /softs/intelpython/intelpython3-2022.2.0.8762/intelpython/python3.9/bin/python(_PyEval_EvalFrameDefault+0x4b22) [0x55bcd76e1262]
16 /softs/intelpython/intelpython3-2022.2.0.8762/intelpython/python3.9/bin/python(+0x140764) [0x55bcd76db764]
17 /softs/intelpython/intelpython3-2022.2.0.8762/intelpython/python3.9/bin/python(+0x161645) [0x55bcd76fc645]
18 /softs/intelpython/intelpython3-2022.2.0.8762/intelpython/python3.9/bin/python(_PyEval_EvalFrameDefault+0x11fb) [0x55bcd76dd93b]
19 /softs/intelpython/intelpython3-2022.2.0.8762/intelpython/python3.9/bin/python(+0x140764) [0x55bcd76db764]
20 /softs/intelpython/intelpython3-2022.2.0.8762/intelpython/python3.9/bin/python(_PyFunction_Vectorcall+0xf5) [0x55bcd76eda25]
21 /softs/intelpython/intelpython3-2022.2.0.8762/intelpython/python3.9/bin/python(_PyEval_EvalFrameDefault+0x11fb) [0x55bcd76dd93b]
22 /softs/intelpython/intelpython3-2022.2.0.8762/intelpython/python3.9/bin/python(+0x140764) [0x55bcd76db764]
23 /softs/intelpython/intelpython3-2022.2.0.8762/intelpython/python3.9/bin/python(+0x161645) [0x55bcd76fc645]
24 /softs/intelpython/intelpython3-2022.2.0.8762/intelpython/python3.9/bin/python(PyObject_Call+0xb4) [0x55bcd76fced4]
25 /softs/intelpython/intelpython3-2022.2.0.8762/intelpython/python3.9/bin/python(_PyEval_EvalFrameDefault+0x3c62) [0x55bcd76e03a2]
26 /softs/intelpython/intelpython3-2022.2.0.8762/intelpython/python3.9/bin/python(+0x140764) [0x55bcd76db764]
27 /softs/intelpython/intelpython3-2022.2.0.8762/intelpython/python3.9/bin/python(+0x161645) [0x55bcd76fc645]
28 /softs/intelpython/intelpython3-2022.2.0.8762/intelpython/python3.9/bin/python(_PyEval_EvalFrameDefault+0x11fb) [0x55bcd76dd93b]
29 /softs/intelpython/intelpython3-2022.2.0.8762/intelpython/python3.9/bin/python(+0x140764) [0x55bcd76db764]
30 /softs/intelpython/intelpython3-2022.2.0.8762/intelpython/python3.9/bin/python(+0x161645) [0x55bcd76fc645]
31 /softs/intelpython/intelpython3-2022.2.0.8762/intelpython/python3.9/bin/python(_PyEval_EvalFrameDefault+0x11fb) [0x55bcd76dd93b]
32 /softs/intelpython/intelpython3-2022.2.0.8762/intelpython/python3.9/bin/python(+0x140764) [0x55bcd76db764]
33 /softs/intelpython/intelpython3-2022.2.0.8762/intelpython/python3.9/bin/python(_PyFunction_Vectorcall+0xf5) [0x55bcd76eda25]
34 /softs/intelpython/intelpython3-2022.2.0.8762/intelpython/python3.9/bin/python(_PyEval_EvalFrameDefault+0x67a) [0x55bcd76dcdba]
35 /softs/intelpython/intelpython3-2022.2.0.8762/intelpython/python3.9/bin/python(+0x152d6b) [0x55bcd76edd6b]
36 /softs/intelpython/intelpython3-2022.2.0.8762/intelpython/python3.9/bin/python(+0x1615a3) [0x55bcd76fc5a3]
37 /softs/intelpython/intelpython3-2022.2.0.8762/intelpython/python3.9/bin/python(_PyEval_EvalFrameDefault+0x4cff) [0x55bcd76e143f]
38 /softs/intelpython/intelpython3-2022.2.0.8762/intelpython/python3.9/bin/python(+0x152d6b) [0x55bcd76edd6b]
39 /softs/intelpython/intelpython3-2022.2.0.8762/intelpython/python3.9/bin/python(_PyEval_EvalFrameDefault+0x67a) [0x55bcd76dcdba]
40 /softs/intelpython/intelpython3-2022.2.0.8762/intelpython/python3.9/bin/python(+0x140764) [0x55bcd76db764]
41 /softs/intelpython/intelpython3-2022.2.0.8762/intelpython/python3.9/bin/python(_PyFunction_Vectorcall+0xf5) [0x55bcd76eda25]
42 /softs/intelpython/intelpython3-2022.2.0.8762/intelpython/python3.9/bin/python(PyObject_Call+0xb4) [0x55bcd76fced4]
43 /softs/intelpython/intelpython3-2022.2.0.8762/intelpython/python3.9/bin/python(_PyEval_EvalFrameDefault+0x3c62) [0x55bcd76e03a2]
44 /softs/intelpython/intelpython3-2022.2.0.8762/intelpython/python3.9/bin/python(+0x152d6b) [0x55bcd76edd6b]
45 /softs/intelpython/intelpython3-2022.2.0.8762/intelpython/python3.9/bin/python(_PyEval_EvalFrameDefault+0x3c7) [0x55bcd76dcb07]
46 /softs/intelpython/intelpython3-2022.2.0.8762/intelpython/python3.9/bin/python(+0x140764) [0x55bcd76db764]
47 /softs/intelpython/intelpython3-2022.2.0.8762/intelpython/python3.9/bin/python(_PyEval_EvalCodeWithName+0x5b) [0x55bcd76db34b]
48 /softs/intelpython/intelpython3-2022.2.0.8762/intelpython/python3.9/bin/python(PyEval_EvalCodeEx+0x55) [0x55bcd76db2c5]
49 /softs/intelpython/intelpython3-2022.2.0.8762/intelpython/python3.9/bin/python(PyEval_EvalCode+0x2b) [0x55bcd779682b]
50 /softs/intelpython/intelpython3-2022.2.0.8762/intelpython/python3.9/bin/python(+0x230ef0) [0x55bcd77cbef0]
51 /softs/intelpython/intelpython3-2022.2.0.8762/intelpython/python3.9/bin/python(+0x22c626) [0x55bcd77c7626]
52 /softs/intelpython/intelpython3-2022.2.0.8762/intelpython/python3.9/bin/python(+0x9866f) [0x55bcd763366f]
53 /softs/intelpython/intelpython3-2022.2.0.8762/intelpython/python3.9/bin/python(PyRun_SimpleFileExFlags+0x1b5) [0x55bcd77c0655]
54 /softs/intelpython/intelpython3-2022.2.0.8762/intelpython/python3.9/bin/python(Py_RunMain+0x38d) [0x55bcd77bd12d]
55 /softs/intelpython/intelpython3-2022.2.0.8762/intelpython/python3.9/bin/python(Py_BytesMain+0x39) [0x55bcd77885b9]
56 /lib64/libc.so.6(__libc_start_main+0xe5) [0x7f3cb17e6d85]
57 /softs/intelpython/intelpython3-2022.2.0.8762/intelpython/python3.9/bin/python(+0x1ed43b) [0x55bcd778843b]
=================================
===================================================================================
= BAD TERMINATION OF ONE OF YOUR APPLICATION PROCESSES
= RANK 0 PID 300387 RUNNING AT i31
= KILLED BY SIGNAL: 9 (Killed)
===================================================================================
===================================================================================
= BAD TERMINATION OF ONE OF YOUR APPLICATION PROCESSES
= RANK 1 PID 300388 RUNNING AT i31
= KILLED BY SIGNAL: 9 (Killed)
===================================================================================
===================================================================================
= BAD TERMINATION OF ONE OF YOUR APPLICATION PROCESSES
= RANK 2 PID 300389 RUNNING AT i31
= KILLED BY SIGNAL: 11 (Segmentation fault)
===================================================================================-
Antony Lewis
- Posts: 1984
- Joined: September 23 2004
- Affiliation: University of Sussex
- Contact:
"
I don't know if you have modified the code, but in any case I would run CAMB separately with the problem parameters and try to understand the issue.
(note the comment at the top of DarkEnergyQuintessence.f90: "This module is not well tested, use at your own risk!")
(note the comment at the top of DarkEnergyQuintessence.f90: "This module is not well tested, use at your own risk!")