Hi again!
A long time ago I had to stop this analysis and so my doubt wasn't importantr for some time :)
I use the errors that my minimization algorithm "MINUIT" gives. Unfortunatelly I cannot find anything except that it (obviously) calculates a covariance matrix and error matrix...
Thanks...
Hi, thanks for your reply!
I am calculating a fit. If I put all my data together I get an error that is higher than that of fitting different sets of points separately and then combining them with a weighted mean.
I didn't do any simplification, just applied the expression seen in wikipedia...
Hello!
I am using physical data to do an analysis (~30k measurements). These measurements include energies, momenta, angles... of particles.
I am calculating a value (call it v) at the end after a lengthy process, and if I introduce all the data into my program I did, the result is v±σ...
Right...
after some trial and error, I got to an expression for the right solution of the covariance matrix:
Given the (2x2) covariance matrix V, and the variables:
N1 = a1/c
N2 = -(1-c)a1/c + a2
I calculated V(m,n) = sum(i = 1 to 2) (dNm/da_i)(dNn/da_i) Error^2(Ni),
where Error^2(Ni) = Ni...
If I am not mistaken, it is a theorem that if the integral method works, then the sum converges in all cases, so you wouldn't need to prove the sum is smaller than the sum.
Hi, I am trying to follow this paper: (arXiv link).
On page 18, Appendix A.1, the authors calculate a covariance matrix for two variables in a way I cannot understand.
Homework Statement
Variables N_1[\itex]
and [itex]N_2[\itex], distributed on
[itex]y \in [0, 1][\itex] as follows...