Hi everybody,
I have modified the CLASS for my cosmological model, in which I have added some new parameters to CLASS. Before recompiling the code in order to recognize the new parameters, there is no problem with running montepython for different likelihoods, and the only problem is that the montepython would not realize the new parameters. However, when I recompile the code in order to force it to recognize new added parameters, there would be a problem with running montepython for CMB likelihoods, in which after creating the covariance matrix, the following error appears:
Segmentation fault (core dumped)
It is worth to say that for other likelihoods which do not concern CMB measurments, for example bao, WiggleZ, jla, sdss_lrgDR4 and CFHTLens, there is no problem and while the code can realize the new parameters, there is no error in running montepython too.
I think that something is going wrong in running montepython for CMB data. I need your suggestions to solve this problem.
Thanks
Hi everybody, I have modified the CLASS for my cosmological model, in which I have added some new parameters to CLASS. Before recompiling the code in order to recognize the new parameters, there is no problem with running montepython for different likelihoods, and the only problem is that the montepython would not realize the new parameters. However, when I recompile the code in order to force it to recognize new added parameters, there would be a problem with running montepython for CMB likelihoods, in which after creating the covariance matrix, the following error appears: Segmentation fault (core dumped)
It is worth to say that for other likelihoods which do not concern CMB measurments, for example bao, WiggleZ, jla, sdss_lrgDR4 and CFHTLens, there is no problem and while the code can realize the new parameters, there is no error in running montepython too. I think that something is going wrong in running montepython for CMB data. I need your suggestions to solve this problem. Thanks