hello, i want to use a low pass filter for my data which i took them from the Comsol . i have to use a low pass filter for them but i don't know the ideal number of pass band (cut off frequency).
In experiments where thermal dynamics are complex and small-scale (in terms of spatial extent) thermal fluctuations obscure the main effect, I use a non-trivial filtering method that I originally know from analyzing particle image velocimetry data. This filtering method is called 'proper orthogonal decomposition'. It is a very powerful method that gives insight into the relevant physical dynamics as long as they are energetic, i.e. either large-scale thermal fluctuations or small-scale but high-frequent fluctuations.
Knowing a little bit more about the application you have in mind would help to see whether it is worth for you to get used to the method and apply it to your data. How does the experiment look like and what is the main effect/phenomenon you are interested in?