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Initial implementation of line matching #182

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merged 43 commits into from
May 17, 2024

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tepickering
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This PR adds functions to find and centroid lines in a calibration, e.g. arc lamp, spectrum and then match pixel positions to wavelengths using an input WCS. More work is needed to close the loop between this and the fitting process for wavelength calibration, but this is a start.

This PR also contains come code cleanups and the addition of typing in several places. To take advantage of the significant improvements in typing and type handling in newer versions of python, the minimum python version has been upped to 3.10. The CI and tox configuration has been updated to reflect this.

…d-coding Moffat1D. need Gaussian1D for some test cases
…ct that types/defaults are now self-documented by the code
…input as np.array which needs to happen, anyway
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codecov bot commented Jun 21, 2023

Codecov Report

Attention: Patch coverage is 92.92929% with 7 lines in your changes missing coverage. Please review.

Project coverage is 83.37%. Comparing base (aea9d50) to head (1845c6f).
Report is 17 commits behind head on main.

Files Patch % Lines
specreduce/line_matching.py 91.83% 4 Missing ⚠️
specreduce/__init__.py 50.00% 2 Missing ⚠️
specreduce/calibration_data.py 97.61% 1 Missing ⚠️
Additional details and impacted files
@@            Coverage Diff             @@
##             main     #182      +/-   ##
==========================================
+ Coverage   81.91%   83.37%   +1.45%     
==========================================
  Files          10       13       +3     
  Lines        1001     1137     +136     
==========================================
+ Hits          820      948     +128     
- Misses        181      189       +8     

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specreduce/line_matching.py Outdated Show resolved Hide resolved
specreduce/tests/test_linelists.py Outdated Show resolved Hide resolved
specreduce/utils/synth_data.py Outdated Show resolved Hide resolved
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@tepickering
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i think i successfully merged in the significant changes from #202. the python 3.8 and 3.9 tests did fail as expected so i bumped requires-python to 3.10 as we agreed to initially. i tweaked tox.ini and the workflows accordingly to get the tests to all pass.

@tepickering
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this PR has been languishing for a while. i'd like to finally get this in to at least add the type annotation work and up the minimum python to 3.10. there's more work to be done on the line matching and especially wavelength calibration, but at this point it's better off done in new PRs.

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still testing out the functionality, but some initial comments on code.

I noticed that throughout, you've removed some of the numpy style docstrings that describe input parameter type and default, and are instead annotating the function. I think that the annotations are a helpful addition, but that the docstrings should retain the same format as before, making sure defaults are also described.

from specreduce.core import * # noqa
from specreduce.wavelength_calibration import * # noqa

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is this necessary? specreduce.__version__ seems to be correct already

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@tepickering tepickering May 14, 2024

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it may not be. i just moved it over from _astropy_init.py as-is so there'd be no surprises. kind of a vestige of the old astropy-helpers, but other coordinated packages like photutils have this in their __init__.py as well, fwiw.

specreduce/line_matching.py Outdated Show resolved Hide resolved
# Extra sanity handling to make sure the input Sequence can be converted to an np.array
try:
pixel_positions = np.array(pixel_positions, dtype=float)
except ValueError as e:
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add a small test for this case to raise the error. Also, as part of sanity checking, maybe add in a check that wcs exists and its spectral.

widths = []
amplitudes = []
for r in detected_lines:
g_init = models.Gaussian1D(
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I think this will cause an error when the model is evaluated unless stddev, mean, and amp are all in the same unit. Stddev is in pixels but it looks like amplitude will have the same unit as flux?

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it's units-aware and is ultimately getting the unit information from the Spectrum1D instance. i was, however, incorrect to assume fwhm should be pixels if not specified. it should be in whatever the spectral_axis unit is in the input spectrum.

@@ -88,44 +90,47 @@
]


def get_available_line_catalogs() -> dict:
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I would maybe add a call to this to one of the existing tests (like in test_line_matching.py) to make sure this function is covered in tests.

@@ -2,21 +2,23 @@
Utilities for defining, loading, and handling spectroscopic calibration data
"""

import os
import warnings
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sort import alphabetically (move warnings import down, and astropy.coordinates up)

'pypeit': PYPEIT_CALIBRATION_LINELISTS
}


def get_reference_file_path(
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I'm a bit confused by this function. If you don't give it a path, it quietly does nothing. It's also not clear if something is being overwritten or not. Also, it seems to only allow you to download something to a .specreduce directory (which it creates), or if you set cache to False it puts it in /var/. Would it make sense to allow specifying an output directory? Probably out of the scope of this, but I had never used this before reviewing this PR and it stood out to me as confusing.


catalog_pixels = spectral_wcs.world_to_pixel(catalog_wavelengths)
separations = pixel_positions[:, np.newaxis] - catalog_pixels
matched_loc = np.where(np.abs(separations) < tolerance)
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maybe raise a warning when there are no matches? it might be more informative than just returning an empty table

@@ -0,0 +1,110 @@
import pytest
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alphabetize imports

'CRVAL2': 0, # Reference value
'CDELT2': 1 # Spatial units per pixel
}
non_linear_wcs = WCS(header=non_linear_header)
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does it make sense to also test this with GWCS since the function can accept either? im not sure if thats overkill

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i am working on a draft PR to formally add gwcs as a dependency (it is currently an import in one place, but not a defined dependency in pyproject.toml), add tests to cover its use in addition to astropy.wcs, and add better examples of its use in contexts like this. so, yes, it definitely makes sense, but it's out of scope for this PR.

@tepickering
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still testing out the functionality, but some initial comments on code.

I noticed that throughout, you've removed some of the numpy style docstrings that describe input parameter type and default, and are instead annotating the function. I think that the annotations are a helpful addition, but that the docstrings should retain the same format as before, making sure defaults are also described.

this was a very intentional change. now that type annotations are supported, they should be the preferred way to document typing and defaults. it is a much more flexible and powerful way of doing so. e.g., it empowers compilers to optimize the code using the given information which is important in contexts such as GPUs. what we definitely DO NOT WANT is to have redundant information in two places because it is guaranteed to create inconsistencies in the future.

@cshanahan1
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still testing out the functionality, but some initial comments on code.
I noticed that throughout, you've removed some of the numpy style docstrings that describe input parameter type and default, and are instead annotating the function. I think that the annotations are a helpful addition, but that the docstrings should retain the same format as before, making sure defaults are also described.

this was a very intentional change. now that type annotations are supported, they should be the preferred way to document typing and defaults. it is a much more flexible and powerful way of doing so. e.g., it empowers compilers to optimize the code using the given information which is important in contexts such as GPUs. what we definitely DO NOT WANT is to have redundant information in two places because it is guaranteed to create inconsistencies in the future.

That makes sense not to keep in in two places. So this is the new best practice then? If so maybe we can make a PR to do this across the whole package so its not in the diff here, that should be fairly quick to do

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Tests are passing so I'm going to merge this, thanks!

@cshanahan1 cshanahan1 merged commit 5e4439a into astropy:main May 17, 2024
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2 participants