esbo_ds/ESBO-ETC
esbo_ds/ESBO-ETC
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Remove progress bar

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This commit is contained in:
Lukas Klass 2020-05-29 09:53:10 +02:00
parent 8127ee2c19
commit 09f8ec2de9
1 changed files with 17 additions and 41 deletions
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58
esbo_etc/classes/sensor/Imager.py
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@ -10,7 +10,6 @@ from ..SpectralQty import SpectralQty
from .PixelMask import PixelMask
from ...lib.logger import logger
import astropy.constants as const
import enlighten
import os
import astropy.io.fits as fits
@ -115,18 +114,11 @@ class Imager(ASensor):
snr = signal_current.sum() * exp_time / np.sqrt(
(signal_current + background_current + dark_current).sum() * exp_time + (read_noise ** 2).sum())
# Print information
if exp_time.size > 1:
pbar = enlighten.get_manager().counter(**dict(total=len(exp_time), desc='SNR', unit='configurations'))
for exp_time_ in pbar(exp_time):
self.__printDetails(signal_current * exp_time_, background_current * exp_time_, read_noise,
dark_current * exp_time_, "t_exp=%.2f s: " % exp_time_.value)
self.__output(signal_current * exp_time_, background_current * exp_time_, read_noise,
dark_current * exp_time_, "texp_%.2f" % exp_time_.value)
else:
self.__printDetails(signal_current * exp_time, background_current * exp_time, read_noise,
dark_current * exp_time, "t_exp=%.2f s: " % exp_time.value)
self.__output(signal_current * exp_time, background_current * exp_time, read_noise,
dark_current * exp_time, "texp_%.2f" % exp_time.value)
for exp_time_ in exp_time if exp_time.size > 1 else [exp_time]:
self.__printDetails(signal_current * exp_time_, background_current * exp_time_, read_noise,
dark_current * exp_time_, "t_exp=%.2f s: " % exp_time_.value)
self.__output(signal_current * exp_time_, background_current * exp_time_, read_noise,
dark_current * exp_time_, "texp_%.2f" % exp_time_.value)
# Return the value of the SNR, ignoring the physical units (electrons^0.5)
return snr.value * u.dimensionless_unscaled
@ -160,19 +152,11 @@ class Imager(ASensor):
1 + current_ratio + np.sqrt((1 + current_ratio) ** 2 + 4 * (read_noise ** 2).sum() / snr ** 2)) / (
2 * signal_current_tot)
# Print information
if exp_time.size > 1:
pbar = enlighten.get_manager().counter(**dict(total=len(exp_time), desc='Exposure Time',
unit='configurations'))
for snr_, exp_time_ in pbar(zip(snr, exp_time)):
self.__printDetails(signal_current * exp_time_, background_current * exp_time_, read_noise,
dark_current * exp_time_, "SNR=%.2f: " % snr_.value)
self.__output(signal_current * exp_time_, background_current * exp_time_, read_noise,
dark_current * exp_time_, "snr_%.2f" % snr_.value)
else:
self.__printDetails(signal_current * exp_time, background_current * exp_time, read_noise,
dark_current * exp_time, "SNR=%.2f: " % snr.value)
self.__output(signal_current * exp_time, background_current * exp_time, read_noise,
dark_current * exp_time, "snr_%.2f" % snr.value)
for snr_, exp_time_ in zip(snr, exp_time) if snr.size > 1 else zip([snr], [exp_time]):
self.__printDetails(signal_current * exp_time_, background_current * exp_time_, read_noise,
dark_current * exp_time_, "SNR=%.2f: " % snr_.value)
self.__output(signal_current * exp_time_, background_current * exp_time_, read_noise,
dark_current * exp_time_, "snr_%.2f" % snr_.value)
return exp_time
@u.quantity_input(exp_time="time", snr=u.dimensionless_unscaled, target_brightness=u.mag)
@ -203,21 +187,13 @@ class Imager(ASensor):
snr ** 2 + 4 * (exp_time * (background_current.sum() + dark_current.sum()) +
(read_noise ** 2).sum()))) / (2 * exp_time)
# Print information
if exp_time.size > 1:
pbar = enlighten.get_manager().counter(**dict(total=len(exp_time), desc='Sensitivity',
unit='configurations'))
for snr_, exp_time_, signal_current_lim_ in pbar(zip(snr, exp_time, signal_current_lim)):
self.__printDetails(signal_current_lim_ * exp_time_, background_current * exp_time_, read_noise,
dark_current * exp_time_, "SNR=%.2f t_exp=%.2f s: " % (snr_.value, exp_time_.value))
self.__output(signal_current * signal_current_lim_ / signal_current.sum() * exp_time_,
background_current * exp_time_, read_noise, dark_current * exp_time_,
"snr_%.2f_texp_%.2f" % (snr_.value, exp_time_.value))
else:
self.__printDetails(signal_current_lim * exp_time, background_current * exp_time, read_noise,
dark_current * exp_time, "SNR=%.2f t_exp=%.2f s: " % (snr.value, exp_time.value))
self.__output(signal_current * signal_current_lim / signal_current.sum() * exp_time,
background_current * exp_time, read_noise, dark_current * exp_time,
"snr_%.2f_texp_%.2f" % (snr.value, exp_time.value))
for snr_, exp_time_, signal_current_lim_ in zip(snr, exp_time, signal_current_lim) if snr.size > 1 else zip(
[snr], [exp_time], [signal_current_lim]):
self.__printDetails(signal_current_lim_ * exp_time_, background_current * exp_time_, read_noise,
dark_current * exp_time_, "SNR=%.2f t_exp=%.2f s: " % (snr_.value, exp_time_.value))
self.__output(signal_current * signal_current_lim_ / signal_current.sum() * exp_time_,
background_current * exp_time_, read_noise, dark_current * exp_time_,
"snr_%.2f_texp_%.2f" % (snr_.value, exp_time_.value))
return target_brightness - 2.5 * np.log10(signal_current_lim / signal_current.sum()) * u.mag
@u.quantity_input(signal=u.electron, background=u.electron, read_noise=u.electron ** 0.5, dark=u.electron)