I can only write freely in the appendix of my paper.
In the main text, I feel that I need to be brief, and need to skip details.
So I feel urged to move the details to the appendix.
I turns out the details are what I love.
So I enjoy writing appendix, rather than the main text.
when I need to calculate growth rate of an oscillating signal, I often do it manually (by taking logarithm and fitting a line to it). I turns out python can do it so nicely:
simplifying in order to understand, to find bugs, not for the purpose to be practically useful. For practical usage, we need complex system consisting many subsystems, taking into many factors, not just some dominant factaor.
These physics can be captured in the measured constraints. So reduced model can be more useful in practice. This is the main reason I should do integrated modeling.
the first-principle model is not necessarily more accurate than reduced 0D or 1D model because the reduced models can incoporate measured constraints easily in the model, but the first-principle model can miss some important physics that we do not know we are missing.
I disliked writing untill I found I can write for myself.
Always write for myself to read, to understand, to grow from there.
to remind myself.
to clary something for myself.
to record somthing for future me in case I forget them.
Meaningful work can makes people happier.
That's one of the reasons that I should do integrated modeling, which seems meaningful to me at present.
Is gyrokinetic simulation also meaningful?