ESBO-ETC/esbo_etc/classes/sensor/Heterodyne.py

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2020-06-30 10:26:16 +02:00
from astropy import units as u
from .ASensor import ASensor
from ..IRadiant import IRadiant
from ..Entry import Entry
import numpy as np
from astropy.constants import k_B
from typing import Union
from ...lib.logger import logger
class Heterodyne(ASensor):
"""
A class for modelling the behaviour of a superheterodyne spectrometer.
"""
def __init__(self, parent: IRadiant, aperture_efficiency: float, main_beam_efficiency: float,
receiver_temp: u.Quantity, eta_fss: float, lambda_line: u.Quantity, kappa: float, common_conf: Entry,
n_on: float = None):
"""
Initialize a new heterodyne detector
Parameters
----------
parent : IRadiant
The parent element of the optical component from which the electromagnetic radiation is received.
aperture_efficiency : float
The aperture efficiency of the antenna.
main_beam_efficiency : float
The main beam efficiency of the telescope.
receiver_temp : u.Quantity in Kelvins
The intrinsic noise temperature of all receiver components.
eta_fss : float
The forward scattering efficiency of the antenna.
lambda_line : u.Quantity
The wavelength to be used for calculating the SNR.
kappa : float
The backend degradation factor.
common_conf : Entry
The common-Entry of the configuration.
n_on : float
The number of on source observations.
"""
self.aperture_efficiency = aperture_efficiency
self.main_beam_efficiency = main_beam_efficiency
self.receiver_temp = receiver_temp
self.eta_fss = eta_fss
self.lambda_line = lambda_line
self.kappa = kappa
self.common_conf = common_conf
self.n_on = n_on
super().__init__(parent)
@u.quantity_input(exp_time="time")
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.
Parameters
----------
exp_time : time-Quantity
The exposure time to calculate the SNR for.
Returns
-------
snr : Quantity
The calculated SNR as dimensionless quantity
"""
# Calculate the signal and background temperatures
t_signal, t_background = self.calcTemperatures()
t_sys = 2 * (t_background + self.receiver_temp)
# Calculate the noise bandwidth
delta_nu = self.lambda_line.to(u.Hz, equivalencies=u.spectral()) / (
self.lambda_line / self.common_conf.wl_delta() + 1)
# Calculate the RMS background temperature
if self.n_on is None:
t_rms = 2 * t_sys * self.kappa / np.sqrt(exp_time * delta_nu)
else:
t_rms = t_sys * self.kappa * np.sqrt(1 + 1 / np.sqrt(self.n_on)) / np.sqrt(exp_time * delta_nu)
# Calculate the SNR
snr = t_signal / t_rms
# Print details
if exp_time.size > 1:
for i in range(exp_time.size):
self.__printDetails(t_sys, delta_nu, t_rms[i], t_signal, "t_exp=%.2f s: " % exp_time[i].value)
else:
self.__printDetails(t_sys, delta_nu, t_rms, t_signal, "t_exp=%.2f s: " % exp_time.value)
return snr
@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.
Parameters
----------
snr : Quantity
The SNR for which the necessary exposure time shall be calculated as dimensionless quantity.
Returns
-------
exp_time : Quantity
The necessary exposure time in seconds.
"""
# Calculate the signal and background temperatures
t_signal, t_background = self.calcTemperatures()
t_sys = 2 * (t_background + self.receiver_temp)
# Calculate the noise bandwidth
delta_nu = self.lambda_line.to(u.Hz, equivalencies=u.spectral()) / (
self.lambda_line / self.common_conf.wl_delta() + 1)
# Calculate the RMS background temperature
t_rms = t_signal / snr
# Calculate the exposure time
if self.n_on is None:
exp_time = ((2 * t_sys * self.kappa / t_rms) ** 2 / delta_nu).decompose()
else:
exp_time = ((t_sys * self.kappa / t_rms) ** 2 * (1 + 1 / np.sqrt(self.n_on)) / delta_nu).decompose()
# Print details
if snr.size > 1:
for i in range(snr.size):
self.__printDetails(t_sys, delta_nu, t_rms[i], t_signal, "SNR=%.2f: " % snr[i].value)
else:
self.__printDetails(t_sys, delta_nu, t_rms, t_signal, "SNR=%.2f: " % snr.value)
return exp_time
@u.quantity_input(exp_time="time", snr=u.dimensionless_unscaled, target_brightness=u.mag)
def getSensitivity(self, exp_time: u.Quantity, snr: u.Quantity, target_brightness: u.Quantity) -> u.mag:
"""
Calculate the sensitivity of the telescope detector combination.
Parameters
----------
exp_time : Quantity
The exposure time in seconds.
snr : Quantity
The SNR for which the sensitivity time shall be calculated.
target_brightness : Quantity
The target brightness in magnitudes.
Returns
-------
sensitivity: Quantity
The sensitivity as limiting apparent star magnitude in mag.
"""
# Calculate the signal and background temperatures
t_signal, t_background = self.calcTemperatures()
t_sys = 2 * (t_background + self.receiver_temp)
# Calculate the noise bandwidth
delta_nu = self.lambda_line.to(u.Hz, equivalencies=u.spectral()) / (
self.lambda_line / self.common_conf.wl_delta() + 1)
# Calculate the RMS background temperature
if self.n_on is None:
t_rms = 2 * t_sys * self.kappa / np.sqrt(exp_time * delta_nu)
else:
t_rms = t_sys * self.kappa * np.sqrt(1 + 1 / np.sqrt(self.n_on)) / np.sqrt(exp_time * delta_nu)
# Calculate the limiting signal temperature
t_signal_lim = t_rms * snr
# Print details
if snr.size > 1:
for i in range(snr.size):
self.__printDetails(t_sys, delta_nu, t_rms[i], t_signal_lim[i],
"SNR=%.2f t_exp=%.2f s: " % (snr[i].value, exp_time[i].value))
else:
self.__printDetails(t_sys, delta_nu, t_rms, t_signal_lim,
"SNR=%.2f t_exp=%.2f s: " % (snr.value, exp_time.value))
return target_brightness - 2.5 * np.log10(t_signal_lim / t_signal) * u.mag
@u.quantity_input(t_sys=u.K, delta_nu=u.Hz, t_rms=u.K, t_signal=u.K)
def __printDetails(self, t_sys: u.Quantity, delta_nu: u.Quantity, t_rms: u.Quantity,
t_signal: u.Quantity, prefix: str = ""):
"""
Print details on the signal and noise composition.
Parameters
----------
t_sys : Quantity
The system temperature.
delta_nu : Quantity
The noise bandwidth.
t_rms : Quantity
The RMS antenna temperature.
t_signal : Quantity
The antenna temperature.
prefix : str
The prefix to be used for printing.
Returns
-------
"""
logger.info("-------------------------------------------------------------------------------------------------")
logger.info(prefix + "System temperature: %1.2e K" % t_sys.value)
logger.info(prefix + "Noise bandwidth: %1.2e K" % delta_nu.value)
logger.info(prefix + "RMS antenna temperature: %1.2e K" % t_rms.value)
logger.info(prefix + "Antenna temperature: %1.2e K" % t_signal.value)
logger.info("-------------------------------------------------------------------------------------------------")
def calcTemperatures(self):
"""
Calculate the noise temperatures of the signal and the background radiation.
Returns
-------
t_signal : u.Quantity
The signal temperature in Kelvins.
t_background : u.Quantity
The background temperature in Kelvins.
"""
logger.info("Calculating the system temperature.")
t_background = (self._parent.calcBackground().rebin(self.lambda_line).qty.to(
u.W / (u.m ** 2 * u.Hz * u.sr), equivalencies=u.spectral_density(self.lambda_line)) *
self.lambda_line ** 2 / (2 * k_B) * u.sr).decompose()
# Calculate the incoming photon current of the target
logger.info("Calculating the signal temperature.")
signal, obstruction = self._parent.calcSignal()
size = "extended" if signal.qty.unit.is_equivalent(u.W / (u.m ** 2 * u.nm * u.sr)) else "point"
if size == "point":
signal = signal.rebin(self.lambda_line).qty.to(u.W / (u.m ** 2 * u.Hz),
equivalencies=u.spectral_density(self.lambda_line))
t_signal = (signal * self.aperture_efficiency * self.common_conf.d_aperture() ** 2 *
np.pi / 4 / (2 * k_B) * self.eta_fss).decompose()
else:
signal = signal.rebin(self.lambda_line).qty.to(u.W / (u.m ** 2 * u.Hz * u.sr),
equivalencies=u.spectral_density(self.lambda_line))
t_signal = (signal * u.sr * self.main_beam_efficiency * self.lambda_line ** 2 / (
2 * k_B) * self.eta_fss).decompose()
logger.debug("Signal temperature: %1.2e K" % t_signal.value)
logger.debug("Target size: " + size)
logger.debug("Obstruction: %.2f" % obstruction)
logger.debug("Background temperature: %1.2e K" % t_background.value)
return t_signal, t_background
@staticmethod
def check_config(sensor: Entry, conf: Entry) -> Union[None, str]:
"""
Check the configuration for this class
Parameters
----------
sensor : Entry
The configuration entry to be checked.
conf: Entry
The complete configuration.
Returns
-------
mes : Union[None, str]
The error message of the check. This will be None if the check was successful.
"""
if not hasattr(sensor, "aperture_efficiency"):
return "Missing container 'aperture_efficiency'."
mes = sensor.aperture_efficiency.check_float("val")
if mes is not None:
return "aperture_efficiency: " + mes
if not hasattr(sensor, "main_beam_efficiency"):
return "Missing container 'main_beam_efficiency'."
mes = sensor.main_beam_efficiency.check_float("val")
if mes is not None:
return "main_beam_efficiency: " + mes
if not hasattr(sensor, "receiver_temp"):
return "Missing container 'receiver_temp'."
mes = sensor.receiver_temp.check_quantity("val", u.K)
if mes is not None:
return "receiver_temp: " + mes
if not hasattr(sensor, "eta_fss"):
return "Missing container 'eta_fss'."
mes = sensor.eta_fss.check_float("val")
if mes is not None:
return "eta_fss: " + mes
if not hasattr(sensor, "lambda_line"):
return "Missing container 'lambda_line'."
mes = sensor.lambda_line.check_quantity("val", u.nm)
if mes is not None:
return "lambda_line: " + mes
if not hasattr(sensor, "kappa"):
return "Missing container 'kappa'."
mes = sensor.kappa.check_float("val")
if mes is not None:
return "kappa: " + mes
if hasattr(sensor, "n_on") and isinstance(sensor.n_on, Entry):
mes = sensor.n_on.check_float("val")
if mes is not None:
return "n_on: " + mes