Content

Mask

To create mask use Mask Editor command med or launch it through the calibman.

Geometry center

ix_cent, iy_cent = det.point_indexes(runnum)

879, 871 (then x and y are swapped to Cartesian system).

Equatorial mask

Mask parameters

Wedge  871  879  454  387  148  196 1 k False False
Wedge  871  879  454  387  -27   21 1 k False False

Wedge parameters

t   = pars[0]              # figure type, ex. 'Wedge'
x   = float(pars[1])       # x coordinate of the wedge center
y   = float(pars[2])       # y coordinate of the wedge center
r   = float(pars[3])       # 1-st radius of the wedge 
w   = float(pars[4])       # radial width of the wedge 
t1  = float(pars[5])       # 1-st angle
t2  = float(pars[6])       # 2-nd angle
lw  = int(pars[7])         # line width
col = str(pars[8])         # color
s   = self.dicBool[pars[9].lower()]   # isSelected boolean parameter
rem = self.dicBool[pars[10].lower()]  # isRemoved - helper parameter

Involved sensors in adopted cxif5315 geometry: 0, 1, 9,15, 16,17, 25,31

Quads numeration in cxif5315 geometry

---------
| 1 | 0 |
----+----
| 2 | 3 |
---------

Arc mask

Wedge  871  879  454   26  -174  186 1 k False False

Involved sensors in the top part of the image in adopted cxif5315 geometry: 0, (1), 7, 8, (9), 15

Equatorial and arc combined mask

Masks for segments

Code below shows how to generate mask n-d arrays for particular set of segments (2x1s)

shape_cspad = (32,185,388)
seg1 = np.ones((185,388))
mask_winds_all = np.zeros(shape_cspad, dtype=np.int16)
mask_winds_equ = np.zeros(shape_cspad, dtype=np.int16)
mask_winds_arc = np.zeros(shape_cspad, dtype=np.int16)

mask_winds_all[(0,1,7,8,9,15,16,17,23,24,25,31),:,:] = seg1
mask_winds_equ[(0,1,9,15,16,17,25,31),:,:] = seg1
mask_winds_arc[(0,7,8,15),:,:] = seg1

Only listed segments are highlighted on plots: