feat: PowerLawIntermediate — intermediate-axis (COOLEST) Einstein radius power-law#503
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New elliptical power-law whose einstein_radius parameter follows the intermediate-axis convention of COOLEST/lenstronomy/herculens (theta_int = sqrt(q) (2/(1+q))^(1/(gamma-1)) theta_PL), giving an identity COOLEST PEMD mapping. Implemented via a behavior-preserving einstein_radius_major_from(xp) hook in PowerLawCore/PowerLaw (all existing profiles numerically unchanged; full suite green), a thin xp-threaded override, ag.mp export, and a priors-config block. mass_profile_from gains intermediate=True to rebuild PEMDs as PowerLawIntermediate. Part of PyAutoLabs/PyAutoLens#616. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
This was referenced Jul 17, 2026
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Summary
Adds
ag.mp.PowerLawIntermediate(PyAutoLens#616, follow-up to the COOLEST interop #612): an elliptical power-law identical in mass distribution toPowerLaw, but whoseeinstein_radiusis the intermediate-axis Einstein radius used by COOLEST/lenstronomy/herculens —theta_int = sqrt(q)·(2/(1+q))^(1/(gamma−1))·theta_PL. Its COOLESTPEMDmapping is therefore an identity (no √q factors), giving direct parameter-level exchange with other lens modeling codes.Implementation is a behavior-preserving hook:
PowerLawCore.einstein_radius_major_from(xp)(returnseinstein_radiusfor all existing profiles) now feedseinstein_radius_rescaledandPowerLaw.deflections_yx_2d_from; the new class overrides only that hook with the xp-threaded conversion (JAX-traceable like its parent). Also:ag.mpexport,PowerLawIntermediate:priors block inconfig/priors/mass/total/power_law.yaml(verified viaaf.Model(...)), andinterop.coolest.mass_profile_from(..., intermediate=True)to rebuild PEMDs in this parameterisation.API Changes
Added only —
ag.mp.PowerLawIntermediate, theeinstein_radius_major_fromhook (identity for existing profiles), and an optionalintermediatekwarg oninterop.coolest.mass_profile_from. No existing symbol's behaviour changes (full suite is the regression net).See full details below.
Test Plan
test_autogalaxy/profiles/mass/total/test_power_law_intermediate.py: PowerLawIntermediate ≡ PowerLaw convergence/deflections/potential under the θ rescale (parametrized over q, γ incl. isothermal); analytic COOLEST-form certification with identity θ_E; PowerLaw numeric pin proving the hook is a no-op.test_autogalaxy/interop/: COOLEST mapping identity +intermediate=Trueround trip + default-import equivalence.Full API Changes (for automation & release notes)
Added
ag.mp.PowerLawIntermediate(centre, ell_comps, einstein_radius, slope)— power-law with intermediate-axis (COOLEST) Einstein radiusPowerLawCore.einstein_radius_major_from(xp)— convention hook; returnseinstein_radiusfor all pre-existing profilesautogalaxy.interop.coolest.mass_profile_from(..., intermediate=False)— new optional kwarg;Truebuilds PEMD asPowerLawIntermediateconfig/priors/mass/total/power_law.yaml—PowerLawIntermediate:blockGenerated by the PyAutoLabs agent workflow.