Published June 6, 2026 | Version v1.0

Domain-Boundary Gradients as Predictive Weak-Lensing Response Structure in the ECSM Framework: A KiDS-1000 PneE Projection Test

Description

This paper presents a covariance-aware KiDS-1000 PneE weak-lensing projection test in the ECSM framework. The analysis compares null, constant-geometry, smooth geometry, frozen boundary-control, external-geometry response, and domain-boundary-gradient response models. The V6 ECSM domain-gradient projection gives the best full-data performance, with chi2 = 141.68 compared with chi2 = 209.51 for the smooth geometry control and chi2 = 1498.48 for the null model. It also transfers across held-out source-bin and lens-bin validation, improving over the smooth control by Delta chi2 = 79.62 and Delta chi2 = 186.01 respectively. The result is presented as a projection-bridge validation rather than a final first-principles baryonic-mass prediction, because the tested KiDS bandpower file does not include physical lens baryonic masses, luminosities, sizes, or scale radii.

Files

Domain_Boundary_Gradients_as_Predictive_Weak_Lensing_Response_Structure_in_the_ECSM_Framework__A_KiDS_1000_PneE_Projection_Test.pdf

Additional details

Software

Repository URL
https://asheldrick-research.github.io/ecsm-framework/
Programming language
Python
Development Status
Active