Closed thelampire closed 4 years ago
Also, with the int16 data, the resulting cross-correlation functions look like triangles:
This may be my fault, but I'd be curious where could this come from. If I don't normalize it, it looks the same but with a different peak value.
My bad, it is the filtering + low taurange.
Cross-correlation function calculation fails with the following two object if the np.dtype=float16 or float64
GPI_SLICED_FILTERED(data_source:"NSTX_GPI" exp_id:"139901") data_title:"NSTX GPI data" shape:[2783,64,80][no error] Data name:"Signal", unit:"Digit" Coords: Time s [<R. symm.>] Start: 3.000E-01, Steps: 2.515E-06
Sample n.a. [<R. symm.>] Start: 1.988E+04, Steps: 1.000E+00
Image x Pixel [<R. symm.>] Start: 0.000E+00, Steps: 1.000E+00
Image y Pixel [<R. symm.>] Start: 0.000E+00, Steps: 1.000E+00
Device R mm [<R. symm.>] Start: 1.403E+03, Steps: 3.718E+00, -7.782E-01
Device z mm [<R. symm.>] Start: 7.054E+01, Steps: 1.809E-01, 3.066E+00
GPI_REF(data_source:"NSTX_GPI" exp_id:"139901") data_title:"NSTX GPI data" shape:[2783][no error] Data name:"Signal", unit:"Digit" Coords: Time s [<R. symm.>] Start: 3.000E-01, Steps: 2.515E-06
Sample n.a. [<R. symm.>] Start: 1.988E+04, Steps: 1.000E+00
Image x [Pixel](Dims:, Shape:[1]) [<R. symm.>] Val:10
Image y [Pixel](Dims:, Shape:[1]) [<R. symm.>] Val:40
Device R [mm](Dims:, Shape:[1]) [<R. symm.>] Val: 1.409E+03
Device z [mm](Dims:, Shape:[1]) [<R. symm.>] Val: 1.950E+02
I am running the following code:
Where taures=10e-6 taurange=[-500e-6,500e-6] interval_n=1
It seems to be working with int16 data.