def radialMaxLevel(self, rmin, rmax, Nbin):
"Compute the maximum (absolute) level for the image and return the array of radius (arcsec) and values"
dr = (rmax - rmin) / Nbin
radius = np.arange(Nbin) * dr + rmin
radMaxLevel = np.zeros(Nbin)
## loop over the pixels
ia.open(self.beamImage)
for i in range(self.Nx):
for j in range(self.Ny):
xx = (i - self.refx) * self.dx
yy = (j - self.refy) * self.dy
rr = sqrt(xx * xx + yy * yy)
indexR = floor((rr - rmin) / dr)
if indexR >= 0 and indexR < Nbin:
val = ia.pixelvalue([i, j])['value']['value']
if abs(val) > abs(radMaxLevel[indexR]):
radMaxLevel[indexR] = val
ia.close()
return (radius, radMaxLevel)
def radialMaxLevel(self,rmin,rmax,Nbin):
"Compute the maximum (absolute) level for the image and return the array of radius (arcsec) and values"
dr=(rmax-rmin)/Nbin
radius=np.arange(Nbin)*dr+rmin
radMaxLevel=np.zeros(Nbin)
## loop over the pixels
ia.open(self.beamImage)
for i in range(self.Nx):
for j in range(self.Ny):
xx=(i-self.refx)*self.dx
yy=(j-self.refy)*self.dy
rr=sqrt(xx*xx+yy*yy)
indexR=floor((rr-rmin)/dr)
if indexR >=0 and indexR < Nbin:
val=ia.pixelvalue([i,j])['value']['value']
if abs(val) > abs(radMaxLevel[indexR]):
radMaxLevel[indexR]=val
ia.close()
return(radius,radMaxLevel)
