BICEP likelihoods for Cosmomc
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BICEP likelihoods for Cosmomc
If anyone wants to try running BICEP2 likelihoods with cosmomc, the "newHL" branch of the cosmomc git repository (access available on request to existing CosmoMC users) has the latest build with support for binned HL likelihood as used by their provided bandpowers (with a little manipulation).
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BICEP likelihoods for Cosmomc
Dear All,
Could you please explain in detail the running of BICEP2 likelihoods with CosmoMC combining with the recent Planck data?
Thank you very much in advance
Could you please explain in detail the running of BICEP2 likelihoods with CosmoMC combining with the recent Planck data?
Thank you very much in advance
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Re: BICEP likelihoods for Cosmomc
If you don't have it, ask me for repository account. Then you can download the branch, and test.ini is an example of how to use with BICEP2 with Planck.
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BICEP likelihoods for Cosmomc
Dear Antony Lewis,
It seems very interesting, would you please send me an account of the repository? Thanks!
It seems very interesting, would you please send me an account of the repository? Thanks!
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BICEP likelihoods for Cosmomc
Dear Antony,
Thank you so much for your help.
Thank you so much for your help.
BICEP likelihoods for Cosmomc
Hi Antony, I want one repository account.
Thx, Bin
Thx, Bin
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Re: BICEP likelihoods for Cosmomc
The March 2014 version is now also available from the website (further bug fixes and development will continue in the repository version, but known issues are fixed and the binned HL likelihood agrees with the BICEP python code at least for BB likelihoods).
BICEP likelihoods for Cosmomc
I got the following report:
---------------
FileUtils.f90(643): catastrophic error: **Internal compiler error: internal abort** Please report this error along with the circumstances in which it occurred in a Software Problem Report. Note: File and line given may not be explicit cause of this error.
compilation aborted for FileUtils.f90 (code 1)
---------------
is this bug due to I use ifort-2013?
Thx in advance!
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FileUtils.f90(643): catastrophic error: **Internal compiler error: internal abort** Please report this error along with the circumstances in which it occurred in a Software Problem Report. Note: File and line given may not be explicit cause of this error.
compilation aborted for FileUtils.f90 (code 1)
---------------
is this bug due to I use ifort-2013?
Thx in advance!
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Re: BICEP likelihoods for Cosmomc
Yes, you need ifort 14+
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BICEP likelihoods for Cosmomc
Hi Antony, I also want one repository account.
can u send me the link at [Log in to view email]
can u send me the link at [Log in to view email]
Re: BICEP likelihoods for Cosmomc
Are there some way to keep using ifort 13?Antony Lewis wrote:Yes, you need ifort 14+
I do not want to use the full power of the newest cosmomc, just for testing
bicep2 lilelihood.
Cheers, Bin
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BICEP likelihoods for Cosmomc
Hi Bin,
Unfortunately, with the latest release of CosmoMC you must be on ifort 14+. There were a lot of compiler bugs/Standards noncompliance on the older versions of ifort that caused issues with the new OOP structure.
-Jason
Unfortunately, with the latest release of CosmoMC you must be on ifort 14+. There were a lot of compiler bugs/Standards noncompliance on the older versions of ifort that caused issues with the new OOP structure.
-Jason
Re: BICEP likelihoods for Cosmomc
Hi Jason,Jason Dossett wrote:Hi Bin,
Unfortunately, with the latest release of CosmoMC you must be on ifort 14+. There were a lot of compiler bugs/Standards noncompliance on the older versions of ifort that caused issues with the new OOP structure.
-Jason
Do I need update Open MPI? Is Open MPI 1.6.4 okay?
Thx, Bin
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BICEP likelihoods for Cosmomc
Hi Bin,
I don't think there is any new stuff as far as the MPI standards go. So you should be fine with your current version of Open MPI.
-Jason
I don't think there is any new stuff as far as the MPI standards go. So you should be fine with your current version of Open MPI.
-Jason
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Re: BICEP likelihoods for Cosmomc
Note that if you want to get the lensed BB accurate at low L you need to set
in the .ini file. (the correction is around 7%, depending on parameters). Probably this can also be importance-sampled efficiently after the main chains are run with linear lensing.
Code: Select all
use_nonlinear_lensing = T