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A/B: azgauss vs fitgauss metacal reconvolution kernel

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Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
45/100
Issue type
Feature
Clarity
Mostly clear
Activity status
Quiet
Tech stack
python
Domain
computer-vision

Research direction

Start by reading #813's digital-twin and image-simulation methodology, then inspect the METACAL_PSF configuration from #829. Compare azgauss and fitgauss using calibrated m/c truth, and document whether recovered bias changes enough to justify adopting azgauss as the fiducial.

Written by the indexing model from the issue text.

Description

#829 exposes the metacal reconvolution kernel as a config knob (METACAL_PSF), defaulting to the fiducial fitgauss. azgauss (new in ngmix v2.4.1, pinned in #819) is pitched as a noise-robust drop-in replacement — worth an A/B before flipping the default.

Question: does azgauss change recovered m/c bias relative to fitgauss, and is it worth adopting as fiducial?

Mechanism: METACAL_PSF = azgauss vs fitgauss, digital-twin / image-sim comparison (calibrated m/c truth) per #813's methodology, complementary to real-data area once available.

— Claude, on behalf of Cail

Dominant language
Python
Stars
18
Forks
14
Avg merge
8h 40m
Merged PRs (30d)
10

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