Out-of-fold LightGBM recovers up to R²=0.982 of bias-corrected Hubble residual variance in LSST SN Ia mocks and R²=0.725 on DES 5YR, with consistent SHAP rankings, while redshift bins explain <1%.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
astro-ph.CO 2representative citing papers
DES supernova data alone give Omega_M = 0.352 +/- 0.017 in flat LambdaCDM and confirm acceleration at >5 sigma, with dark energy consistent with a cosmological constant to within ~2 sigma when combined with other probes.
citing papers explorer
-
Machine Learning Closure Audits for LSST Photometric Supernova Cosmology
Out-of-fold LightGBM recovers up to R²=0.982 of bias-corrected Hubble residual variance in LSST SN Ia mocks and R²=0.725 on DES 5YR, with consistent SHAP rankings, while redshift bins explain <1%.
-
The Dark Energy Survey: Cosmology Results With ~1500 New High-redshift Type Ia Supernovae Using The Full 5-year Dataset
DES supernova data alone give Omega_M = 0.352 +/- 0.017 in flat LambdaCDM and confirm acceleration at >5 sigma, with dark energy consistent with a cosmological constant to within ~2 sigma when combined with other probes.