def get_inl_array():
"""
Read the INL corrections from the adc and put in an array
"""
inl = np.zeros((5,17), dtype='float')
for chan in range(1,5):
inl[chan] = adc5g.get_inl_registers(roach2, zdok, chan)
inl[0] = range(0, 257,16)
return inl.transpose()
def get_inl_array():
"""
Read the INL corrections from the adc and put in an array
"""
inl = np.zeros((5, 17), dtype='float')
for chan in range(1, 5):
inl[chan] = adc5g.get_inl_registers(roach2, zdok, chan)
inl[0] = range(0, 257, 16)
return inl.transpose()
def get_inl_chan(self, chan):
"""
Returns INL correction coefficients (17 coeff/core)
for channel 'chan'
"""
inl_chan = []
zdok, cores = self.get_channel_core_spi(chan)
for core in cores:
inl = adc5g.get_inl_registers(self.roach, zdok, core)
inl_chan.append(inl)
return inl_chan
def get_inl_chan(self, chan):
"""
Returns INL correction coefficients (17 coeff/core)
for channel 'chan'
"""
inl_chan = []
zdok, cores = self.get_channel_core_spi(chan)
for core in cores:
inl = adc5g.get_inl_registers(self.roach, zdok, core)
inl_chan.append(inl)
return inl_chan
