CosmoCoffee

Hi everyone,

I am currently working on a project using cosmomc and I want to separate the data in two different categories. The first one consists of BAORSD+DES+lowl data and the other one of highl+BAO+Pantheon+HST data. I have successfully obtained the following contours for the first set of data but as you can see clearly from the following picture they are not at all smooth.

https://imgur.com/a/zeoXTd9

where [math]g_a is an extra parameter of my model. In my analysis in the test.ini file I have set the propose matrix to be
Could it be because the covariance matrix does not correspond to the specific combination of data? I have searched the folder planck_covmats but I can not find the specific combination that I want. I am not sure what changes should I make in order to obtain an accurate covariance matrix corresponding to the exact combination of data. Is there an easy way to do that?


Thank you in advance,
Lawrence.

Cosmomc will learn the covariance, so it's not critical as long as it's not much too big. The contours don't look too bad (DES, esp. lensing, can give two regions of parameters space leaving odd looking marginalized contours, e.g. see the Planck 2018 lensing paper).