Divide T2 distribution

Today, I tried to figure out how to divide T2 distribution into 2 or 3 Gaussian or log-normal distributions.

Summary:
First, I looked into many distributions and found that normal and log-normal may be the most suitable ones. For example, Poisson distribution is more suitable for integers.
Both normal (Gaussian) and log-normal distributions have 2 parameters, namely miu and sigma. So one distribution includes two parameters. Today, I found that most papers said about how to add two or more distributions into one, but not dividing.
Later on, I found that Matlab can fit one distribution to one normal or log-normal distribution. However, it cannot fit one distribution to two or more normal and log-normal distributions. At least, I have not found it out.
Then, I tried to look for some papers about how to divide T2 distributions, but I have not found it out. Most papers just talk about how their models predict data well. One of the papers I read divided T2 distributions into 8 CMR Bin Porosity (CBP).  So the prediction of T2 distribution turned into the prediction of 8 CBPs. There are 4 models to be compared. Every CBP is predicted by 4 models and the paper found that CMIS (Committee machine with intelligent systems), which is  the combination of the other three models, performed the best.
I think that it is more reasonable to directly divide T2 distributions into 2 or 3 other distributions. The problem now is that I am not sure how to divide.

Tomorrow, I will continue to try to find how to divide T2 distributions into normal and log-normal distributions.