def assign_tes_grid(obsdate=None):
'''
make a 17x17 array with TES id's
'''
pix_grid = assign_pix_grid()
TES2PIX = assign_pix2tes(obsdate)
tes_grid = np.recarray(names='PIX,TES,ASIC',
formats='int,int,int',
shape=pix_grid.shape)
nrows = pix_grid.shape[0]
ncols = pix_grid.shape[1]
for row in range(nrows):
for col in range(ncols):
tes_grid[row, col].PIX = 0
tes_grid[row, col].TES = 0
tes_grid[row, col].ASIC = 0
# the pixel identity associated with its physical location in the array
physpix = pix_grid[row, col]
tes_grid[row, col].PIX = physpix
pix_index = physpix - 1
if physpix != 0:
for asic_ctr in range(2):
asic = asic_ctr + 1
asic_idx = ASIC_index(asic)
if physpix in TES2PIX[asic_idx]:
TES = pix2tes(physpix)[0]
TES_idx = TES - 1
tes_grid[row, col].ASIC = asic
tes_grid[row, col].TES = TES
return tes_grid
def tes2pix(TES, asic):
global TES2PIX
if TES2PIX is None: TES2PIX = assign_pix2tes()
TES_idx = TES_index(TES)
if TES_idx is None: return None
if TES_idx == -1: return -1
PIX = TES2PIX[ASIC_index(asic), TES_idx]
return PIX
def asic_index(self):
return ASIC_index(self.asic)