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Merge pull request #374 from LCOGT/update/sep-astropy
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Migrate to no longer use SEP and use astropy Photutils instead.
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cmccully authored Feb 22, 2024
2 parents 561c966 + 39dcf4b commit 972bf4b
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58 changes: 58 additions & 0 deletions .github/workflows/build-docker.yml
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@@ -0,0 +1,58 @@
name: Docker Image

concurrency: ${{ github.workflow }}-${{ github.ref }}

on:
push:
branches:
- "*"
tags:
- "*"
pull_request:
branches:
- master

jobs:
build-push:

runs-on: ubuntu-latest

permissions:
contents: write
packages: write

env:
REGISTRY: ghcr.io
IMAGE_NAME: ${{ github.repository }}

steps:
- name: "Checkout"
uses: actions/checkout@v3

- name: Set up Docker Buildx
id: buildx
uses: docker/setup-buildx-action@v2
with:
install: true

- name: Login to Container Registry
uses: docker/login-action@v2
with:
registry: ${{ env.REGISTRY }}
username: ${{ github.actor }}
password: ${{ secrets.GITHUB_TOKEN }}

- name: Extract Docker metadata
id: meta
uses: docker/metadata-action@v4
with:
images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}

- name: Build and also push Dockerimage
id: build-and-push
uses: docker/build-push-action@v3
with:
context: .
push: true
tags: ${{ steps.meta.outputs.tags }}
labels: ${{ steps.meta.outputs.labels }}
2 changes: 1 addition & 1 deletion .github/workflows/e2e.yaml
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Expand Up @@ -45,7 +45,7 @@ jobs:
- name: Test Master Bias Creation
run: |
kubectl exec banzai-e2e-test -c banzai-listener -- pytest -o log_cli=true -s --pyargs banzai.tests --durations=0 --junitxml=/archive/engineering/pytest-master-bias.xml -m master_bias
kubectl exec banzai-e2e-test -c banzai-listener -- pytest -o log_cli=true -s --pyargs banzai --durations=0 --junitxml=/archive/engineering/pytest-master-bias.xml -m master_bias
- name: Cleanup
run: |
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6 changes: 5 additions & 1 deletion CHANGES.md
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@@ -1,3 +1,7 @@
1.15.0 (2024-02-14)
-------------------
- Migrated photometry extraction to be done by astropy's photutils instead of SEP.

1.14.1 (2024-01-29)
-------------------
- Fix for null instrument/instrument size to allow processing to continue
Expand All @@ -7,7 +11,7 @@
- Split worker queues for small and large images
- Update e2e tests to run on github actions

1.13.1 (2023-10-21)
1.13.1 (2023-10-31)
-------------------
- bugfix to the docker build

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1 change: 1 addition & 0 deletions MANIFEST.in
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Expand Up @@ -13,3 +13,4 @@ prune docs/_build
prune docs/api

include pyproject.toml
include pytest.ini
2 changes: 1 addition & 1 deletion banzai/bpm.py
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Expand Up @@ -39,6 +39,6 @@ def calibration_type(self):
class SaturatedPixelFlagger(Stage):
def do_stage(self, image):
for image_extension in image.ccd_hdus:
image_extension.mask[image_extension.data > image_extension.saturate] |= 2
image_extension.mask[image_extension.data >= image_extension.saturate] |= 2

return image
366 changes: 181 additions & 185 deletions banzai/photometry.py

Large diffs are not rendered by default.

2 changes: 1 addition & 1 deletion banzai/settings.py
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Expand Up @@ -80,7 +80,7 @@
'elp': {'minute': 0, 'hour': 23},
'ogg': {'minute': 0, 'hour': 3}}

ASTROMETRY_SERVICE_URL = os.getenv('ASTROMETRY_SERVICE_URL', 'http://astrometry.lco.gtn/catalog/')
ASTROMETRY_SERVICE_URL = os.getenv('ASTROMETRY_SERVICE_URL', ' ')

CALIBRATION_FILENAME_FUNCTIONS = {'BIAS': ('banzai.utils.file_utils.config_to_filename',
'banzai.utils.file_utils.ccdsum_to_filename'),
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8 changes: 4 additions & 4 deletions banzai/tests/test_end_to_end.py
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Expand Up @@ -124,7 +124,7 @@ def get_expected_number_of_calibrations(raw_filename_pattern, calibration_type):
if site in frame['filename'] and instrument in frame['filename']
and dayobs in frame['filename'] and raw_filename_pattern in frame['filename']
]
if 'calibration_type.lower()' == 'skyflat':
if calibration_type.lower() == 'skyflat':
# Group by filter
observed_filters = []
for frame in raw_frames_for_this_dayobs:
Expand Down Expand Up @@ -244,7 +244,7 @@ def test_if_stacked_flat_frame_was_created(self):
@pytest.mark.e2e
@pytest.mark.science_files
class TestScienceFileCreation:
@pytest.fixture(autouse=True)
@pytest.fixture(autouse=True, scope='class')
@mock.patch('banzai.utils.observation_utils.requests.get', side_effect=observation_portal_side_effect)
def reduce_science_frames(self, mock_observation_portal):
run_reduce_individual_frames('e00.fits')
Expand All @@ -254,7 +254,7 @@ def test_if_science_frames_were_created(self):
created_files = []
for day_obs in DAYS_OBS:
expected_files += [filename.replace('e00', 'e91')
for filename in TEST_FRAMES['filename']]
for filename in TEST_FRAMES['filename'] if 'e00.fits' in filename]
created_files += [os.path.basename(filename) for filename in glob(os.path.join(DATA_ROOT, day_obs,
'processed', '*e91*'))]
assert len(expected_files) > 0
Expand All @@ -266,6 +266,6 @@ def test_that_photometric_calibration_succeeded(self):
for day_obs in DAYS_OBS:
science_files += [filepath for filepath in glob(os.path.join(DATA_ROOT, day_obs,
'processed', '*e91*'))]
zeropoints = [fits.open(file)['SCI'].header.get('L1ZP') for file in science_files]
zeropoints = [fits.open(filename)['SCI'].header.get('L1ZP') for filename in science_files]
# check that at least one of our images contains a zeropoint
assert zeropoints.count(None) != len(zeropoints)
17 changes: 11 additions & 6 deletions docs/index.rst
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Expand Up @@ -107,20 +107,18 @@ our models are 94% complete for our training data. Pixels flagged as cosmic-ray

Source Detection
================
Source detection uses the "Source Extraction in Python" (SEP; https://github.com/kbarbary/sep).
This is similar to Source Extractor, but is written purely in Python and Cython. This allows more
customization.
Source detection uses the "astropy.photutils" image segmentation.
This is similar to Source Extractor, but is written purely in Python. This allows more customization than the original SExtractor.

We estimate the background by taking a 3x3 median filter of the image and the doing a 32x32 block
average of the image.

We use the default match filter for source detection that is provided by SEP.
We use the default match filter for source detection that is provided in Source Extractor. We include the proper match filter normalization though so the extraction will be slightly different.

We do aperture photometry using an elliptical aperture that is set by 2.5 times the Kron radius. This
produces approximately the same results as ``FLUX_AUTO`` from SExtractor.

We set the source detection limit at 3 times the global rms of the image. ``MINAREA`` is set to 5,
the default. This should minimize false detections, but may miss the faintest sources.
We set the source detection limit at 2.5 times the uncertainty image. ``MINAREA`` is set to 9. This should minimize false detections, but may miss the faintest sources.

To assess the image quality, we estimate the full-width half maximum (FWHM) of the stars in the image. We reject any
sources that have a FWHM of less than a pixel to ensure that they do not bias our results. The PSFs for LCO are
Expand All @@ -132,6 +130,13 @@ estimate of the FWHM. This ensures that we do not underestimate the FWHM when de
we take the robust standard deviation (see below) to estimate the overall FWHM of the image. This value is recorded
in the header under the L1FWHM keyword.

Flags are as follows:
- 1: Source has bad pixels in the image segmentation
- 2: Object is deblended
- 4: Source has saturated pixels in the image segmentation
- 8: Source kron aperture falls off the image
- 16: Source has cosmic ray pixels in the image segmentation


Astrometry
==========
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2 changes: 0 additions & 2 deletions helm-chart/banzai/templates/listener.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -98,7 +98,6 @@ spec:
- "--db-address=$(DB_ADDRESS)"
- "--broker-url=$(FITS_BROKER)"
- "--queue-name=$(QUEUE_NAME)"
- "--no-file-cache"
env:
{{- include "banzai.Env" . | nindent 12 }}
resources:
Expand Down Expand Up @@ -128,7 +127,6 @@ spec:
- "--db-address=$(DB_ADDRESS)"
- "--broker-url=$(FITS_BROKER)"
- "--log-level=info"
- "--no-file-cache"
env:
{{- include "banzai.Env" . | nindent 12 }}
resources:
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