esbo_ds/ESBO-ETC
esbo_ds/ESBO-ETC
11
0
Fork 1
Code Issues 1 Pull Requests Releases 1 Wiki Activity

Fix unit check

Browse Source
This commit is contained in:
Lukas Klass 2020-05-15 14:58:47 +02:00
parent 8845e60654
commit 09e338cc59
1 changed files with 6 additions and 5 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

11
esbo_etc/classes/sensor/Imager.py
View File

@ -92,7 +92,7 @@ class Imager(ASensor):
common_conf.psf.osf, pixel_size) common_conf.psf.osf, pixel_size)
@u.quantity_input(exp_time="time") @u.quantity_input(exp_time="time")
def getSNR(self, exp_time: u.Quantity) -> u.Quantity: def getSNR(self, exp_time: u.Quantity) -> u.dimensionless_unscaled:
""" """
Calculate the signal to background ratio (SNR) for the given exposure time using the CCD-equation. Calculate the signal to background ratio (SNR) for the given exposure time using the CCD-equation.
@ -114,7 +114,8 @@ class Imager(ASensor):
dark = dark_current * exp_time dark = dark_current * exp_time
return self.__calcSNR(signal, background, read_noise, dark) return self.__calcSNR(signal, background, read_noise, dark)
def getExpTime(self, snr: u.Quantity) -> u.Quantity: @u.quantity_input(snr=u.dimensionless_unscaled)
def getExpTime(self, snr: u.Quantity) -> u.s:
""" """
Calculate the necessary exposure time in order to achieve the given SNR. Calculate the necessary exposure time in order to achieve the given SNR.
@ -141,9 +142,9 @@ class Imager(ASensor):
# Calculate the ratio of the background- and dark-current to the signal current as auxiliary variable # Calculate the ratio of the background- and dark-current to the signal current as auxiliary variable
current_ratio = (background_current_tot + dark_current_tot) / signal_current_tot current_ratio = (background_current_tot + dark_current_tot) / signal_current_tot
# Calculate the necessary exposure time as inverse of the CCD-equation # Calculate the necessary exposure time as inverse of the CCD-equation
exp_time = snr ** 2 * (1 + current_ratio + np.sqrt( exp_time = snr ** 2 * (
(1 + current_ratio) ** 2 + 4 * read_noise_tot ** 2 / snr ** 2)) /\ 1 + current_ratio + np.sqrt((1 + current_ratio) ** 2 + 4 * read_noise_tot ** 2 / snr ** 2)) / (
(2 * signal_current_tot) 2 * signal_current_tot)
# Calculate the SNR in order to check for overexposed pixels # Calculate the SNR in order to check for overexposed pixels
self.__calcSNR(signal_current * exp_time, background_current * exp_time, read_noise, dark_current * exp_time) self.__calcSNR(signal_current * exp_time, background_current * exp_time, read_noise, dark_current * exp_time)
return exp_time return exp_time