/usr/lib/python3/dist-packages/photutils/aperture/tests/test_aperture_photometry.py is in python3-photutils 0.4-1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""
The tests in this file test the accuracy of the photometric results.
Here we test directly with aperture objects since we are checking the
algorithms in aperture_photometry, not in the wrappers.
"""
from __future__ import (absolute_import, division, print_function,
unicode_literals)
import pytest
import numpy as np
from numpy.testing import (assert_allclose, assert_array_equal,
assert_array_less)
from astropy.coordinates import SkyCoord
from astropy.io import fits
from astropy.nddata import NDData
from astropy.table import Table
from astropy.tests.helper import remote_data
import astropy.units as u
from astropy.wcs.utils import pixel_to_skycoord
from ..core import aperture_photometry
from ..circle import (CircularAperture, CircularAnnulus, SkyCircularAperture,
SkyCircularAnnulus)
from ..ellipse import (EllipticalAperture, EllipticalAnnulus,
SkyEllipticalAperture, SkyEllipticalAnnulus)
from ..rectangle import (RectangularAperture, RectangularAnnulus,
SkyRectangularAperture, SkyRectangularAnnulus)
from ...datasets import (get_path, make_4gaussians_image, make_wcs,
make_imagehdu)
try:
import matplotlib # noqa
HAS_MATPLOTLIB = True
except ImportError:
HAS_MATPLOTLIB = False
APERTURE_CL = [CircularAperture,
CircularAnnulus,
EllipticalAperture,
EllipticalAnnulus,
RectangularAperture,
RectangularAnnulus]
TEST_APERTURES = list(zip(APERTURE_CL, ((3.,), (3., 5.),
(3., 5., 1.), (3., 5., 4., 1.),
(5, 8, np.pi / 4),
(8, 12, 8, np.pi / 8))))
@pytest.mark.parametrize(('aperture_class', 'params'), TEST_APERTURES)
def test_outside_array(aperture_class, params):
data = np.ones((10, 10), dtype=np.float)
aperture = aperture_class((-60, 60), *params)
fluxtable = aperture_photometry(data, aperture)
# aperture is fully outside array:
assert np.isnan(fluxtable['aperture_sum'])
@pytest.mark.parametrize(('aperture_class', 'params'), TEST_APERTURES)
def test_inside_array_simple(aperture_class, params):
data = np.ones((40, 40), dtype=np.float)
aperture = aperture_class((20., 20.), *params)
table1 = aperture_photometry(data, aperture, method='center', subpixels=10)
table2 = aperture_photometry(data, aperture, method='subpixel',
subpixels=10)
table3 = aperture_photometry(data, aperture, method='exact', subpixels=10)
true_flux = aperture.area()
if not isinstance(aperture, (RectangularAperture, RectangularAnnulus)):
assert_allclose(table3['aperture_sum'], true_flux)
assert_allclose(table2['aperture_sum'], table3['aperture_sum'],
atol=0.1)
assert table1['aperture_sum'] < table3['aperture_sum']
@pytest.mark.skipif('not HAS_MATPLOTLIB')
@pytest.mark.parametrize(('aperture_class', 'params'), TEST_APERTURES)
def test_aperture_plots(aperture_class, params):
# This test should run without any errors, and there is no return
# value.
# TODO: check the content of the plot
aperture = aperture_class((20., 20.), *params)
aperture.plot()
def test_aperture_pixel_positions():
pos1 = (10, 20)
pos2 = u.Quantity((10, 20), unit=u.pixel)
pos3 = ((10, 20, 30), (10, 20, 30))
pos3_pairs = ((10, 10), (20, 20), (30, 30))
r = 3
ap1 = CircularAperture(pos1, r)
ap2 = CircularAperture(pos2, r)
ap3 = CircularAperture(pos3, r)
assert_allclose(np.atleast_2d(pos1), ap1.positions)
assert_allclose(np.atleast_2d(pos2.value), ap2.positions)
assert_allclose(pos3_pairs, ap3.positions)
class BaseTestAperturePhotometry(object):
def test_scalar_error(self):
# Scalar error
error = 1.
if not hasattr(self, 'mask'):
mask = None
true_error = np.sqrt(self.area)
else:
mask = self.mask
# 1 masked pixel
true_error = np.sqrt(self.area - 1)
table1 = aperture_photometry(self.data,
self.aperture, method='center',
mask=mask, error=error)
table2 = aperture_photometry(self.data,
self.aperture,
method='subpixel', subpixels=12,
mask=mask, error=error)
table3 = aperture_photometry(self.data,
self.aperture, method='exact',
mask=mask, error=error)
if not isinstance(self.aperture, (RectangularAperture,
RectangularAnnulus)):
assert_allclose(table3['aperture_sum'], self.true_flux)
assert_allclose(table2['aperture_sum'], table3['aperture_sum'],
atol=0.1)
assert np.all(table1['aperture_sum'] < table3['aperture_sum'])
if not isinstance(self.aperture, (RectangularAperture,
RectangularAnnulus)):
assert_allclose(table3['aperture_sum_err'], true_error)
assert_allclose(table2['aperture_sum'], table3['aperture_sum'],
atol=0.1)
assert np.all(table1['aperture_sum_err'] < table3['aperture_sum_err'])
def test_array_error(self):
# Array error
error = np.ones(self.data.shape, dtype=np.float)
if not hasattr(self, 'mask'):
mask = None
true_error = np.sqrt(self.area)
else:
mask = self.mask
# 1 masked pixel
true_error = np.sqrt(self.area - 1)
table1 = aperture_photometry(self.data,
self.aperture, method='center',
mask=mask, error=error)
table2 = aperture_photometry(self.data,
self.aperture,
method='subpixel', subpixels=12,
mask=mask, error=error)
table3 = aperture_photometry(self.data,
self.aperture, method='exact',
mask=mask, error=error)
if not isinstance(self.aperture, (RectangularAperture,
RectangularAnnulus)):
assert_allclose(table3['aperture_sum'], self.true_flux)
assert_allclose(table2['aperture_sum'], table3['aperture_sum'],
atol=0.1)
assert np.all(table1['aperture_sum'] < table3['aperture_sum'])
if not isinstance(self.aperture, (RectangularAperture,
RectangularAnnulus)):
assert_allclose(table3['aperture_sum_err'], true_error)
assert_allclose(table2['aperture_sum_err'],
table3['aperture_sum_err'], atol=0.1)
assert np.all(table1['aperture_sum_err'] < table3['aperture_sum_err'])
class TestCircular(BaseTestAperturePhotometry):
def setup_class(self):
self.data = np.ones((40, 40), dtype=np.float)
position = (20., 20.)
r = 10.
self.aperture = CircularAperture(position, r)
self.area = np.pi * r * r
self.true_flux = self.area
class TestCircularArray(BaseTestAperturePhotometry):
def setup_class(self):
self.data = np.ones((40, 40), dtype=np.float)
position = ((20., 20.), (25., 25.))
r = 10.
self.aperture = CircularAperture(position, r)
self.area = np.pi * r * r
self.area = np.array((self.area, ) * 2)
self.true_flux = self.area
class TestCircularAnnulus(BaseTestAperturePhotometry):
def setup_class(self):
self.data = np.ones((40, 40), dtype=np.float)
position = (20., 20.)
r_in = 8.
r_out = 10.
self.aperture = CircularAnnulus(position, r_in, r_out)
self.area = np.pi * (r_out * r_out - r_in * r_in)
self.true_flux = self.area
class TestCircularAnnulusArray(BaseTestAperturePhotometry):
def setup_class(self):
self.data = np.ones((40, 40), dtype=np.float)
position = ((20., 20.), (25., 25.))
r_in = 8.
r_out = 10.
self.aperture = CircularAnnulus(position, r_in, r_out)
self.area = np.pi * (r_out * r_out - r_in * r_in)
self.area = np.array((self.area, ) * 2)
self.true_flux = self.area
class TestElliptical(BaseTestAperturePhotometry):
def setup_class(self):
self.data = np.ones((40, 40), dtype=np.float)
position = (20., 20.)
a = 10.
b = 5.
theta = -np.pi / 4.
self.aperture = EllipticalAperture(position, a, b, theta)
self.area = np.pi * a * b
self.true_flux = self.area
class TestEllipticalAnnulus(BaseTestAperturePhotometry):
def setup_class(self):
self.data = np.ones((40, 40), dtype=np.float)
position = (20., 20.)
a_in = 5.
a_out = 8.
b_out = 5.
theta = -np.pi / 4.
self.aperture = EllipticalAnnulus(position, a_in, a_out, b_out, theta)
self.area = (np.pi * (a_out * b_out) -
np.pi * (a_in * b_out * a_in / a_out))
self.true_flux = self.area
class TestRectangularAperture(BaseTestAperturePhotometry):
def setup_class(self):
self.data = np.ones((40, 40), dtype=np.float)
position = (20., 20.)
h = 5.
w = 8.
theta = np.pi / 4.
self.aperture = RectangularAperture(position, w, h, theta)
self.area = h * w
self.true_flux = self.area
class TestRectangularAnnulus(BaseTestAperturePhotometry):
def setup_class(self):
self.data = np.ones((40, 40), dtype=np.float)
position = (20., 20.)
h_out = 8.
w_in = 8.
w_out = 12.
h_in = w_in * h_out / w_out
theta = np.pi / 8.
self.aperture = RectangularAnnulus(position, w_in, w_out, h_out, theta)
self.area = h_out * w_out - h_in * w_in
self.true_flux = self.area
class TestMaskedSkipCircular(BaseTestAperturePhotometry):
def setup_class(self):
self.data = np.ones((40, 40), dtype=np.float)
self.mask = np.zeros((40, 40), dtype=bool)
self.mask[20, 20] = True
position = (20., 20.)
r = 10.
self.aperture = CircularAperture(position, r)
self.area = np.pi * r * r
self.true_flux = self.area - 1
class BaseTestDifferentData(object):
def test_basic_circular_aperture_photometry(self):
aperture = CircularAperture(self.position, self.radius)
table = aperture_photometry(self.data, aperture,
method='exact', unit='adu')
assert_allclose(table['aperture_sum'].value, self.true_flux)
assert table['aperture_sum'].unit, self.fluxunit
assert np.all(table['xcenter'].value ==
np.transpose(self.position)[0])
assert np.all(table['ycenter'].value ==
np.transpose(self.position)[1])
class TestInputPrimaryHDU(BaseTestDifferentData):
def setup_class(self):
data = np.ones((40, 40), dtype=np.float)
self.data = fits.ImageHDU(data=data)
self.data.header['BUNIT'] = 'adu'
self.radius = 3
self.position = (20, 20)
self.true_flux = np.pi * self.radius * self.radius
self.fluxunit = u.adu
class TestInputHDUList(BaseTestDifferentData):
def setup_class(self):
data0 = np.ones((40, 40), dtype=np.float)
data1 = np.empty((40, 40), dtype=np.float)
data1.fill(2)
self.data = fits.HDUList([fits.ImageHDU(data=data0),
fits.ImageHDU(data=data1)])
self.radius = 3
self.position = (20, 20)
# It should stop at the first extension
self.true_flux = np.pi * self.radius * self.radius
class TestInputHDUDifferentBUNIT(BaseTestDifferentData):
def setup_class(self):
data = np.ones((40, 40), dtype=np.float)
self.data = fits.ImageHDU(data=data)
self.data.header['BUNIT'] = 'Jy'
self.radius = 3
self.position = (20, 20)
self.true_flux = np.pi * self.radius * self.radius
self.fluxunit = u.adu
class TestInputNDData(BaseTestDifferentData):
def setup_class(self):
data = np.ones((40, 40), dtype=np.float)
self.data = NDData(data, unit=u.adu)
self.radius = 3
self.position = [(20, 20), (30, 30)]
self.true_flux = np.pi * self.radius * self.radius
self.fluxunit = u.adu
@remote_data
def test_wcs_based_photometry_to_catalogue():
pathcat = get_path('spitzer_example_catalog.xml', location='remote')
pathhdu = get_path('spitzer_example_image.fits', location='remote')
hdu = fits.open(pathhdu)
scale = hdu[0].header['PIXSCAL1']
catalog = Table.read(pathcat)
pos_skycoord = SkyCoord(catalog['l'], catalog['b'], frame='galactic')
photometry_skycoord = aperture_photometry(
hdu, SkyCircularAperture(pos_skycoord, 4 * u.arcsec))
photometry_skycoord_pix = aperture_photometry(
hdu, SkyCircularAperture(pos_skycoord, 4. / scale * u.pixel))
assert_allclose(photometry_skycoord['aperture_sum'],
photometry_skycoord_pix['aperture_sum'])
# Photometric unit conversion is needed to match the catalogue
factor = (1.2 * u.arcsec) ** 2 / u.pixel
converted_aperture_sum = (photometry_skycoord['aperture_sum'] *
factor).to(u.mJy / u.pixel)
fluxes_catalog = catalog['f4_5'].filled()
# There shouldn't be large outliers, but some differences is OK, as
# fluxes_catalog is based on PSF photometry, etc.
assert_allclose(fluxes_catalog, converted_aperture_sum.value, rtol=1e0)
assert(np.mean(np.fabs(((fluxes_catalog - converted_aperture_sum.value) /
fluxes_catalog))) < 0.1)
def test_wcs_based_photometry():
data = make_4gaussians_image()
wcs = make_wcs(data.shape)
hdu = make_imagehdu(data, wcs=wcs)
# hard wired positions in make_4gaussian_image
pos_orig_pixel = u.Quantity(([160., 25., 150., 90.],
[70., 40., 25., 60.]), unit=u.pixel)
pos_skycoord = pixel_to_skycoord(pos_orig_pixel[0], pos_orig_pixel[1], wcs)
pos_skycoord_s = pos_skycoord[2]
photometry_skycoord_circ = aperture_photometry(
hdu, SkyCircularAperture(pos_skycoord, 3 * u.arcsec))
photometry_skycoord_circ_2 = aperture_photometry(
hdu, SkyCircularAperture(pos_skycoord, 2 * u.arcsec))
photometry_skycoord_circ_s = aperture_photometry(
hdu, SkyCircularAperture(pos_skycoord_s, 3 * u.arcsec))
assert_allclose(photometry_skycoord_circ['aperture_sum'][2],
photometry_skycoord_circ_s['aperture_sum'])
photometry_skycoord_circ_ann = aperture_photometry(
hdu, SkyCircularAnnulus(pos_skycoord, 2 * u.arcsec, 3 * u.arcsec))
photometry_skycoord_circ_ann_s = aperture_photometry(
hdu, SkyCircularAnnulus(pos_skycoord_s, 2 * u.arcsec, 3 * u.arcsec))
assert_allclose(photometry_skycoord_circ_ann['aperture_sum'][2],
photometry_skycoord_circ_ann_s['aperture_sum'])
assert_allclose(photometry_skycoord_circ_ann['aperture_sum'],
photometry_skycoord_circ['aperture_sum'] -
photometry_skycoord_circ_2['aperture_sum'])
photometry_skycoord_ell = aperture_photometry(
hdu, SkyEllipticalAperture(pos_skycoord, 3 * u.arcsec,
3.0001 * u.arcsec, 45 * u.arcsec))
photometry_skycoord_ell_2 = aperture_photometry(
hdu, SkyEllipticalAperture(pos_skycoord, 2 * u.arcsec,
2.0001 * u.arcsec, 45 * u.arcsec))
photometry_skycoord_ell_s = aperture_photometry(
hdu, SkyEllipticalAperture(pos_skycoord_s, 3 * u.arcsec,
3.0001 * u.arcsec, 45 * u.arcsec))
photometry_skycoord_ell_ann = aperture_photometry(
hdu, SkyEllipticalAnnulus(pos_skycoord, 2 * u.arcsec, 3 * u.arcsec,
3.0001 * u.arcsec, 45 * u.arcsec))
photometry_skycoord_ell_ann_s = aperture_photometry(
hdu, SkyEllipticalAnnulus(pos_skycoord_s, 2 * u.arcsec, 3 * u.arcsec,
3.0001 * u.arcsec, 45 * u.arcsec))
assert_allclose(photometry_skycoord_ell['aperture_sum'][2],
photometry_skycoord_ell_s['aperture_sum'])
assert_allclose(photometry_skycoord_ell_ann['aperture_sum'][2],
photometry_skycoord_ell_ann_s['aperture_sum'])
assert_allclose(photometry_skycoord_ell['aperture_sum'],
photometry_skycoord_circ['aperture_sum'], rtol=5e-3)
assert_allclose(photometry_skycoord_ell_ann['aperture_sum'],
photometry_skycoord_ell['aperture_sum'] -
photometry_skycoord_ell_2['aperture_sum'], rtol=1e-4)
photometry_skycoord_rec = aperture_photometry(
hdu, SkyRectangularAperture(pos_skycoord,
6 * u.arcsec, 6 * u.arcsec,
0 * u.arcsec),
method='subpixel', subpixels=20)
photometry_skycoord_rec_4 = aperture_photometry(
hdu, SkyRectangularAperture(pos_skycoord,
4 * u.arcsec, 4 * u.arcsec,
0 * u.arcsec),
method='subpixel', subpixels=20)
photometry_skycoord_rec_s = aperture_photometry(
hdu, SkyRectangularAperture(pos_skycoord_s,
6 * u.arcsec, 6 * u.arcsec,
0 * u.arcsec),
method='subpixel', subpixels=20)
photometry_skycoord_rec_ann = aperture_photometry(
hdu, SkyRectangularAnnulus(pos_skycoord, 4 * u.arcsec, 6 * u.arcsec,
6 * u.arcsec, 0 * u.arcsec),
method='subpixel', subpixels=20)
photometry_skycoord_rec_ann_s = aperture_photometry(
hdu, SkyRectangularAnnulus(pos_skycoord_s, 4 * u.arcsec, 6 * u.arcsec,
6 * u.arcsec, 0 * u.arcsec),
method='subpixel', subpixels=20)
assert_allclose(photometry_skycoord_rec['aperture_sum'][2],
photometry_skycoord_rec_s['aperture_sum'])
assert np.all(photometry_skycoord_rec['aperture_sum'] >
photometry_skycoord_circ['aperture_sum'])
assert_allclose(photometry_skycoord_rec_ann['aperture_sum'][2],
photometry_skycoord_rec_ann_s['aperture_sum'])
assert_allclose(photometry_skycoord_rec_ann['aperture_sum'],
photometry_skycoord_rec['aperture_sum'] -
photometry_skycoord_rec_4['aperture_sum'], rtol=1e-4)
def test_basic_circular_aperture_photometry_unit():
data1 = np.ones((40, 40), dtype=np.float)
data2 = u.Quantity(data1, unit=u.adu)
radius = 3
position = (20, 20)
true_flux = np.pi * radius * radius
unit = u.adu
table1 = aperture_photometry(data1, CircularAperture(position, radius),
unit=unit)
table2 = aperture_photometry(data2, CircularAperture(position, radius),
unit=unit)
assert_allclose(table1['aperture_sum'].value, true_flux)
assert_allclose(table2['aperture_sum'].value, true_flux)
assert table1['aperture_sum'].unit == unit
assert table2['aperture_sum'].unit == data2.unit == unit
def test_aperture_photometry_with_error_units():
"""Test aperture_photometry when error has units (see #176)."""
data1 = np.ones((40, 40), dtype=np.float)
data2 = u.Quantity(data1, unit=u.adu)
error = u.Quantity(data1, unit=u.adu)
radius = 3
true_flux = np.pi * radius * radius
unit = u.adu
position = (20, 20)
table1 = aperture_photometry(data2, CircularAperture(position, radius),
error=error)
assert_allclose(table1['aperture_sum'].value, true_flux)
assert_allclose(table1['aperture_sum_err'].value, np.sqrt(true_flux))
assert table1['aperture_sum'].unit == unit
assert table1['aperture_sum_err'].unit == unit
def test_aperture_photometry_inputs_with_mask():
"""
Test that aperture_photometry does not modify the input
data or error array when a mask is input.
"""
data = np.ones((5, 5))
aperture = CircularAperture((2, 2), 2.)
mask = np.zeros_like(data, dtype=bool)
data[2, 2] = 100. # bad pixel
mask[2, 2] = True
error = np.sqrt(data)
data_in = data.copy()
error_in = error.copy()
t1 = aperture_photometry(data, aperture, error=error, mask=mask)
assert_array_equal(data, data_in)
assert_array_equal(error, error_in)
assert_allclose(t1['aperture_sum'][0], 11.5663706144)
t2 = aperture_photometry(data, aperture)
assert_allclose(t2['aperture_sum'][0], 111.566370614)
TEST_ELLIPSE_EXACT_APERTURES = [(3.469906, 3.923861394, 3.),
(0.3834415188257778, 0.3834415188257778, 0.3)]
@pytest.mark.parametrize('x,y,r', TEST_ELLIPSE_EXACT_APERTURES)
def test_ellipse_exact_grid(x, y, r):
"""
Test elliptical exact aperture photometry on a grid of pixel positions.
This is a regression test for the bug discovered in this issue:
https://github.com/astropy/photutils/issues/198
"""
data = np.ones((10, 10))
aperture = EllipticalAperture((x, y), r, r, 0.)
t = aperture_photometry(data, aperture, method='exact')
actual = t['aperture_sum'][0] / (np.pi * r ** 2)
assert_allclose(actual, 1)
@pytest.mark.parametrize('value', [np.nan, np.inf])
def test_nan_inf_mask(value):
"""Test that nans and infs are properly masked [267]."""
data = np.ones((9, 9))
mask = np.zeros_like(data, dtype=bool)
data[4, 4] = value
mask[4, 4] = True
radius = 2.
aper = CircularAperture((4, 4), radius)
tbl = aperture_photometry(data, aper, mask=mask)
desired = (np.pi * radius**2) - 1
assert_allclose(tbl['aperture_sum'], desired)
def test_aperture_partial_overlap():
data = np.ones((20, 20))
error = np.ones((20, 20))
xypos = [(10, 10), (0, 0), (0, 19), (19, 0), (19, 19)]
r = 5.
aper = CircularAperture(xypos, r=r)
tbl = aperture_photometry(data, aper, error=error)
assert_allclose(tbl['aperture_sum'][0], np.pi * r ** 2)
assert_array_less(tbl['aperture_sum'][1:], np.pi * r ** 2)
unit = u.MJy / u.sr
tbl = aperture_photometry(data * unit, aper, error=error * unit)
assert_allclose(tbl['aperture_sum'][0].value, np.pi * r ** 2)
assert_array_less(tbl['aperture_sum'][1:].value, np.pi * r ** 2)
assert_array_less(tbl['aperture_sum_err'][1:].value, np.pi * r ** 2)
assert tbl['aperture_sum'].unit == unit
assert tbl['aperture_sum_err'].unit == unit
def test_pixel_aperture_repr():
aper = CircularAperture((10, 20), r=3.0)
a_repr = '<CircularAperture([[10, 20]], r=3.0)>'
a_str = 'Aperture: CircularAperture\npositions: [[10, 20]]\nr: 3.0'
assert repr(aper) == a_repr
assert str(aper) == a_str
aper = CircularAnnulus((10, 20), r_in=3.0, r_out=5.0)
a_repr = '<CircularAnnulus([[10, 20]], r_in=3.0, r_out=5.0)>'
a_str = ('Aperture: CircularAnnulus\npositions: [[10, 20]]\nr_in: 3.0\n'
'r_out: 5.0')
assert repr(aper) == a_repr
assert str(aper) == a_str
aper = EllipticalAperture((10, 20), a=5.0, b=3.0, theta=15.0)
a_repr = '<EllipticalAperture([[10, 20]], a=5.0, b=3.0, theta=15.0)>'
a_str = ('Aperture: EllipticalAperture\npositions: [[10, 20]]\n'
'a: 5.0\nb: 3.0\ntheta: 15.0')
assert repr(aper) == a_repr
assert str(aper) == a_str
aper = EllipticalAnnulus((10, 20), a_in=4.0, a_out=8.0, b_out=4.0,
theta=15.0)
a_repr = ('<EllipticalAnnulus([[10, 20]], a_in=4.0, a_out=8.0, b_out='
'4.0, theta=15.0)>')
a_str = ('Aperture: EllipticalAnnulus\npositions: [[10, 20]]\na_in: '
'4.0\na_out: 8.0\nb_out: 4.0\ntheta: 15.0')
assert repr(aper) == a_repr
assert str(aper) == a_str
aper = RectangularAperture((10, 20), w=5.0, h=3.0, theta=15.0)
a_repr = '<RectangularAperture([[10, 20]], w=5.0, h=3.0, theta=15.0)>'
a_str = ('Aperture: RectangularAperture\npositions: [[10, 20]]\n'
'w: 5.0\nh: 3.0\ntheta: 15.0')
assert repr(aper) == a_repr
assert str(aper) == a_str
aper = RectangularAnnulus((10, 20), w_in=4.0, w_out=8.0, h_out=4.0,
theta=15.0)
a_repr = ('<RectangularAnnulus([[10, 20]], w_in=4.0, w_out=8.0, '
'h_out=4.0, theta=15.0)>')
a_str = ('Aperture: RectangularAnnulus\npositions: [[10, 20]]\n'
'w_in: 4.0\nw_out: 8.0\nh_out: 4.0\ntheta: 15.0')
assert repr(aper) == a_repr
assert str(aper) == a_str
def test_sky_aperture_repr():
s = SkyCoord([1, 2], [3, 4], unit='deg')
aper = SkyCircularAperture(s, r=3*u.pix)
a_repr = ('<SkyCircularAperture(<SkyCoord (ICRS): (ra, dec) in deg\n'
' [( 1., 3.), ( 2., 4.)]>, r=3.0 pix)>')
a_str = ('Aperture: SkyCircularAperture\npositions: <SkyCoord '
'(ICRS): (ra, dec) in deg\n [( 1., 3.), ( 2., 4.)]>\n'
'r: 3.0 pix')
assert repr(aper) == a_repr
assert str(aper) == a_str
aper = SkyCircularAnnulus(s, r_in=3.*u.pix, r_out=5*u.pix)
a_repr = ('<SkyCircularAnnulus(<SkyCoord (ICRS): (ra, dec) in deg\n'
' [( 1., 3.), ( 2., 4.)]>, r_in=3.0 pix, r_out=5.0 pix)>')
a_str = ('Aperture: SkyCircularAnnulus\npositions: <SkyCoord '
'(ICRS): (ra, dec) in deg\n [( 1., 3.), ( 2., 4.)]>\n'
'r_in: 3.0 pix\nr_out: 5.0 pix')
assert repr(aper) == a_repr
assert str(aper) == a_str
aper = SkyEllipticalAperture(s, a=3*u.pix, b=5*u.pix, theta=15*u.deg)
a_repr = ('<SkyEllipticalAperture(<SkyCoord (ICRS): (ra, dec) in '
'deg\n [( 1., 3.), ( 2., 4.)]>, a=3.0 pix, b=5.0 pix,'
' theta=15.0 deg)>')
a_str = ('Aperture: SkyEllipticalAperture\npositions: <SkyCoord '
'(ICRS): (ra, dec) in deg\n [( 1., 3.), ( 2., 4.)]>\n'
'a: 3.0 pix\nb: 5.0 pix\ntheta: 15.0 deg')
assert repr(aper) == a_repr
assert str(aper) == a_str
aper = SkyEllipticalAnnulus(s, a_in=3*u.pix, a_out=5*u.pix, b_out=3*u.pix,
theta=15*u.deg)
a_repr = ('<SkyEllipticalAnnulus(<SkyCoord (ICRS): (ra, dec) in '
'deg\n [( 1., 3.), ( 2., 4.)]>, a_in=3.0 pix, '
'a_out=5.0 pix, b_out=3.0 pix, theta=15.0 deg)>')
a_str = ('Aperture: SkyEllipticalAnnulus\npositions: <SkyCoord '
'(ICRS): (ra, dec) in deg\n [( 1., 3.), ( 2., 4.)]>\n'
'a_in: 3.0 pix\na_out: 5.0 pix\nb_out: 3.0 pix\n'
'theta: 15.0 deg')
assert repr(aper) == a_repr
assert str(aper) == a_str
aper = SkyRectangularAperture(s, w=3*u.pix, h=5*u.pix, theta=15*u.deg)
a_repr = ('<SkyRectangularAperture(<SkyCoord (ICRS): (ra, dec) in '
'deg\n [( 1., 3.), ( 2., 4.)]>, w=3.0 pix, h=5.0 pix'
', theta=15.0 deg)>')
a_str = ('Aperture: SkyRectangularAperture\npositions: <SkyCoord '
'(ICRS): (ra, dec) in deg\n [( 1., 3.), ( 2., 4.)]>\n'
'w: 3.0 pix\nh: 5.0 pix\ntheta: 15.0 deg')
assert repr(aper) == a_repr
assert str(aper) == a_str
aper = SkyRectangularAnnulus(s, w_in=3*u.pix, w_out=3.4*u.pix,
h_out=5*u.pix, theta=15*u.deg)
a_repr = ('<SkyRectangularAnnulus(<SkyCoord (ICRS): (ra, dec) in deg'
'\n [( 1., 3.), ( 2., 4.)]>, w_in=3.0 pix, '
'w_out=3.4 pix, h_out=5.0 pix, theta=15.0 deg)>')
a_str = ('Aperture: SkyRectangularAnnulus\npositions: <SkyCoord '
'(ICRS): (ra, dec) in deg\n [( 1., 3.), ( 2., 4.)]>\n'
'w_in: 3.0 pix\nw_out: 3.4 pix\nh_out: 5.0 pix\n'
'theta: 15.0 deg')
assert repr(aper) == a_repr
assert str(aper) == a_str
def test_rectangular_bbox():
# odd sizes
width = 7
height = 3
a = RectangularAperture((50, 50), w=width, h=height, theta=0)
assert a.bounding_boxes[0].shape == (height, width)
a = RectangularAperture((50.5, 50.5), w=width, h=height, theta=0)
assert a.bounding_boxes[0].shape == (height + 1, width + 1)
a = RectangularAperture((50, 50), w=width, h=height, theta=90.*np.pi/180.)
assert a.bounding_boxes[0].shape == (width, height)
# even sizes
width = 8
height = 4
a = RectangularAperture((50, 50), w=width, h=height, theta=0)
assert a.bounding_boxes[0].shape == (height + 1, width + 1)
a = RectangularAperture((50.5, 50.5), w=width, h=height, theta=0)
assert a.bounding_boxes[0].shape == (height, width)
a = RectangularAperture((50.5, 50.5), w=width, h=height,
theta=90.*np.pi/180.)
assert a.bounding_boxes[0].shape == (width, height)
def test_elliptical_bbox():
# integer axes
a = 7
b = 3
ap = EllipticalAperture((50, 50), a=a, b=b, theta=0)
assert ap.bounding_boxes[0].shape == (2*b + 1, 2*a + 1)
ap = EllipticalAperture((50.5, 50.5), a=a, b=b, theta=0)
assert ap.bounding_boxes[0].shape == (2*b, 2*a)
ap = EllipticalAperture((50, 50), a=a, b=b, theta=90.*np.pi/180.)
assert ap.bounding_boxes[0].shape == (2*a + 1, 2*b + 1)
# fractional axes
a = 7.5
b = 4.5
ap = EllipticalAperture((50, 50), a=a, b=b, theta=0)
assert ap.bounding_boxes[0].shape == (2*b, 2*a)
ap = EllipticalAperture((50.5, 50.5), a=a, b=b, theta=0)
assert ap.bounding_boxes[0].shape == (2*b + 1, 2*a + 1)
ap = EllipticalAperture((50, 50), a=a, b=b, theta=90.*np.pi/180.)
assert ap.bounding_boxes[0].shape == (2*a, 2*b)
def test_to_sky_pixel():
data = make_4gaussians_image()
wcs = make_wcs(data.shape)
ap = CircularAperture(((12.3, 15.7), (48.19, 98.14)), r=3.14)
ap2 = ap.to_sky(wcs).to_pixel(wcs)
assert_allclose(ap.positions, ap2.positions)
assert_allclose(ap.r, ap2.r)
ap = CircularAnnulus(((12.3, 15.7), (48.19, 98.14)), r_in=3.14,
r_out=5.32)
ap2 = ap.to_sky(wcs).to_pixel(wcs)
assert_allclose(ap.positions, ap2.positions)
assert_allclose(ap.r_in, ap2.r_in)
assert_allclose(ap.r_out, ap2.r_out)
ap = EllipticalAperture(((12.3, 15.7), (48.19, 98.14)), a=3.14, b=5.32,
theta=103.*np.pi/180.)
ap2 = ap.to_sky(wcs).to_pixel(wcs)
assert_allclose(ap.positions, ap2.positions)
assert_allclose(ap.a, ap2.a)
assert_allclose(ap.b, ap2.b)
assert_allclose(ap.theta, ap2.theta)
ap = EllipticalAnnulus(((12.3, 15.7), (48.19, 98.14)), a_in=3.14,
a_out=15.32, b_out=4.89, theta=103.*np.pi/180.)
ap2 = ap.to_sky(wcs).to_pixel(wcs)
assert_allclose(ap.positions, ap2.positions)
assert_allclose(ap.a_in, ap2.a_in)
assert_allclose(ap.a_out, ap2.a_out)
assert_allclose(ap.b_out, ap2.b_out)
assert_allclose(ap.theta, ap2.theta)
ap = RectangularAperture(((12.3, 15.7), (48.19, 98.14)), w=3.14, h=5.32,
theta=103.*np.pi/180.)
ap2 = ap.to_sky(wcs).to_pixel(wcs)
assert_allclose(ap.positions, ap2.positions)
assert_allclose(ap.w, ap2.w)
assert_allclose(ap.h, ap2.h)
assert_allclose(ap.theta, ap2.theta)
ap = RectangularAnnulus(((12.3, 15.7), (48.19, 98.14)), w_in=3.14,
w_out=15.32, h_out=4.89, theta=103.*np.pi/180.)
ap2 = ap.to_sky(wcs).to_pixel(wcs)
assert_allclose(ap.positions, ap2.positions)
assert_allclose(ap.w_in, ap2.w_in)
assert_allclose(ap.w_out, ap2.w_out)
assert_allclose(ap.h_out, ap2.h_out)
assert_allclose(ap.theta, ap2.theta)
|