Weak lensing #984
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Weak lensing #984
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jeff-regier
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May 11, 2024
jeff-regier
reviewed
May 11, 2024
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## master #984 +/- ##
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- Coverage 92.38% 92.17% -0.22%
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Files 23 23
Lines 2903 2914 +11
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+ Hits 2682 2686 +4
- Misses 221 228 +7
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* use_checkerboard flag * mode and sample metrics * new prior elicitation case study * new m2 prior: adds location parameter * renaming truncated Pareto parameters * mean sources = 0.9 * minor * log val metrics under val * todo notes * black --diff pre-commit * HST 15% off, not 22%? * don't log trainer output on prediction * fix m2 mean_sources rate; replace truncated Pareto with scipy implementation * two point correlation metric sort of working * minor * minor * tests passing; about to do 419GB training run * updated dependent tiling case studies; corrected two point correlation metric * reverting mean_sources...how did I get it so wrong? * minor
…k with simple training loop for shear and convergence
…ce; add galaxy params back into variational dist sampling; revert to original architecture for now
…upper bounds (previously used for shear)
…project and lockfile to reflect change
…dated pyproject and lockfile to reflect change" to factor in prior refactoring of duplicate code. This reverts commit e6fdd20.
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This PR adds inference capabilities for weak lensing shear and convergence.
It involves minimal changes to the BLISS infrastructure:
TileCatalog.The remaining additions are self-contained in
case_studies/weak_lensing:ImageDecoder,CatalogPrior,VariationalDistSpec, andVariationalDist.