2020-10-26 18:01:39 +01:00
|
|
|
from unittest import TestCase
|
|
|
|
|
from esbo_etc.classes.psf.FITS import FITS
|
|
|
|
|
from esbo_etc.classes.psf.Airy import Airy
|
|
|
|
|
from esbo_etc.classes.sensor.PixelMask import PixelMask
|
|
|
|
|
import astropy.units as u
|
|
|
|
|
import numpy as np
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
class TestFITS(TestCase):
|
|
|
|
|
def setUp(self):
|
|
|
|
|
self.fits = FITS("tests/data/psf_5um.fits", 5.5, 5 * u.um, 0.5 * u.m, 10, 6.5 * u.um)
|
|
|
|
|
self.airy = Airy(5.5, 5 * u.um, 0.5 * u.m, 10, 6.5 * u.um)
|
|
|
|
|
|
|
|
|
|
def test_calcReducedObservationAngle(self):
|
|
|
|
|
# No jitter
|
|
|
|
|
self.assertTrue(np.isclose(self.fits.calcReducedObservationAngle(80).value,
|
|
|
|
|
self.airy.calcReducedObservationAngle(80).value, rtol=0.04))
|
|
|
|
|
|
|
|
|
|
# Jitter
|
|
|
|
|
self.assertTrue(np.isclose(self.fits.calcReducedObservationAngle(80, 1 * u.arcsec).value,
|
|
|
|
|
self.airy.calcReducedObservationAngle(80, 1 * u.arcsec).value, rtol=0.02))
|
|
|
|
|
|
|
|
|
|
def test_mapToPixelArray(self):
|
|
|
|
|
# No jitter
|
|
|
|
|
reduced_observation_angle = self.fits.calcReducedObservationAngle(80).value
|
|
|
|
|
d_ap = (reduced_observation_angle / (6.5 * u.um / (13.0 * 4 * u.um))).decompose() * u.pix
|
|
|
|
|
mask = PixelMask(np.array([1024, 1024]) << u.pix, 6.5 * u.um, np.array([0.5, 0.5]) << u.pix)
|
|
|
|
|
mask.createPhotometricAperture("circle", d_ap / 2)
|
|
|
|
|
mask = self.fits.mapToPixelMask(mask)
|
|
|
|
|
|
|
|
|
|
reduced_observation_angle_2 = self.airy.calcReducedObservationAngle(80).value
|
|
|
|
|
d_ap_2 = (reduced_observation_angle_2 / (6.5 * u.um / (13.0 * 4 * u.um))).decompose() * u.pix
|
|
|
|
|
mask_2 = PixelMask(np.array([1024, 1024]) << u.pix, 6.5 * u.um, np.array([0.5, 0.5]) << u.pix)
|
|
|
|
|
mask_2.createPhotometricAperture("circle", d_ap_2 / 2)
|
|
|
|
|
mask_2 = self.airy.mapToPixelMask(mask_2)
|
2020-10-26 18:05:57 +01:00
|
|
|
self.assertTrue(np.isclose(float(mask.sum()), float(mask_2.sum()), rtol=0.01))
|
2020-10-26 18:01:39 +01:00
|
|
|
|
|
|
|
|
# Jitter
|
|
|
|
|
reduced_observation_angle = self.fits.calcReducedObservationAngle(80, 1 * u.arcsec).value
|
|
|
|
|
d_ap = (reduced_observation_angle / (6.5 * u.um / (13.0 * 4 * u.um))).decompose() * u.pix
|
|
|
|
|
mask = PixelMask(np.array([1024, 1024]) << u.pix, 6.5 * u.um, np.array([0.5, 0.5]) << u.pix)
|
|
|
|
|
mask.createPhotometricAperture("circle", d_ap / 2)
|
|
|
|
|
mask = self.fits.mapToPixelMask(mask, 1 * u.arcsec)
|
|
|
|
|
|
|
|
|
|
reduced_observation_angle_2 = self.airy.calcReducedObservationAngle(80, 1 * u.arcsec).value
|
|
|
|
|
d_ap_2 = (reduced_observation_angle_2 / (6.5 * u.um / (13.0 * 4 * u.um))).decompose() * u.pix
|
|
|
|
|
mask_2 = PixelMask(np.array([1024, 1024]) << u.pix, 6.5 * u.um, np.array([0.5, 0.5]) << u.pix)
|
|
|
|
|
mask_2.createPhotometricAperture("circle", d_ap_2 / 2)
|
|
|
|
|
mask_2 = self.airy.mapToPixelMask(mask_2, 1 * u.arcsec)
|
|
|
|
|
self.assertTrue(np.isclose(float(mask.sum()), float(mask_2.sum()), rtol=0.03))
|
