esbo_ds/ESBO-ETC
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Warn on overexposure

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This commit is contained in:
Lukas Klass 2020-05-15 11:18:03 +02:00
parent c1f0f981da
commit 4ec4f40423
1 changed files with 15 additions and 5 deletions
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18
esbo_etc/classes/sensor/Imager.py
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@ -9,7 +9,7 @@ from ..psf.Zemax import Zemax
from ..SpectralQty import SpectralQty from ..SpectralQty import SpectralQty
from .PixelMask import PixelMask from .PixelMask import PixelMask
import astropy.constants as const import astropy.constants as const
from logging import info from logging import info, warning
class Imager(ASensor): class Imager(ASensor):
@ -76,7 +76,6 @@ class Imager(ASensor):
self.__center_offset = center_offset self.__center_offset = center_offset
self.__shape = shape self.__shape = shape
self.__contained_energy = contained_energy self.__contained_energy = contained_energy
if contained_pixels:
self.__contained_pixels = contained_pixels self.__contained_pixels = contained_pixels
self.__common_conf = common_conf self.__common_conf = common_conf
# Calculate central wavelength # Calculate central wavelength
@ -145,8 +144,19 @@ class Imager(ASensor):
def __calcSNR(self, signal_current: u.Quantity, background_current: u.Quantity, read_noise: u.Quantity, def __calcSNR(self, signal_current: u.Quantity, background_current: u.Quantity, read_noise: u.Quantity,
dark_current: u.Quantity, exp_time: u.Quantity) -> u.dimensionless_unscaled: dark_current: u.Quantity, exp_time: u.Quantity) -> u.dimensionless_unscaled:
# Calculate the SNR using the CCD-equation # Calculate the SNR using the CCD-equation
snr = signal_current.sum() * exp_time / np.sqrt( signal = signal_current * exp_time
exp_time * (signal_current.sum() + background_current.sum() + dark_current.sum()) + read_noise.sum() ** 2) background = background_current * exp_time
dark = dark_current * exp_time
total = signal + background + dark
overexposed = total > self.__well_capacity
if np.any(overexposed):
warning(str(np.count_nonzero(overexposed)) + " pixels are overexposed.")
info("Collected electrons from target: %1.2e electrons" % signal.sum().value)
info("Collected electrons from background: %1.2e electrons" % background.sum().value)
info("Electrons from dark current: %1.2e electrons" % dark.sum().value)
info("Read noise: %1.2e electrons" % (read_noise ** 2).sum().value)
info("Total collected electrons: %1.2e electrons" % total.sum().value)
snr = signal.sum() / np.sqrt(total.sum() + (read_noise ** 2).sum())
# Return the value of the SNR, ignoring the physical units (electrons^0.5) # Return the value of the SNR, ignoring the physical units (electrons^0.5)
return snr.value * u.dimensionless_unscaled return snr.value * u.dimensionless_unscaled