[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

Convolution of Stick Spectra

Hi all...

In my on-going effort to speed up the code in our lab, I have another
'challenge' for you (I have to put 'challenge' in quotes because it seems
that no matter what I ask, someone knows the ansewr off (or at least
nearly off) the top of their head!)

We have a situation where we need to convolute (with energy dependent
gaussians) a number of stick spectra on a well-defined energy axis. The
stick spectra are read in from another program as a 2-dimensional array,
using ddread. The [0,*] elements are the energies of the sticks, and the
[1,*] values are the intensities. These have no inherent spacing, they are
just calculated intensities at whatever energy the calculation returns.

We want to convolute these with gaussians on a regular energy axis, so we
declare our energy array from 0 to 4, as shown below.

The only way I've found to do the convolution, since the x axes don't
match on the two arrays, is to do the following (slow) for loop:

convoluted = fltarr( 2, 2048 )
convoluted[0,*] = findgen( 2048 ) / 2047. * 4.

;; Let's fake a stick spectrum, we usually have at least this many elements
stick = abs(randomn( systime(1), 2, 5000 ))
stick[0,*] = stick[0,*] * 4.
stick[1,*] = stick[1,*] * 1000.

for i=0L, n_elements( stick ) / 2 -1 do $
     convoluted[1,*] = stick[1,i]*exp(-((convoluted[0,*] - stick[0,i])^2)/ $
                 (((.12*sqrt(stick[0,i]/1000))/1.6651)*1000)^2) $
                 + convoluted[1,*]

So the question becomes, is there any way to speed this up? I thought of
using a larger convoluted array with multiple dimensions and using total()
somehow, but I couldn't think of how to do that.

Thanks in advance (and in retrospect) for all the help!