UEGMC: A Post-Hoc Framework for Uncertainty Estimation in Galaxy Morphology Classification
A novel framework named UEGMC (Uncertainty Estimation for Galaxy Morphology Classification) has been introduced to tackle the issue of uncertainty assessment in galaxy morphology classification (GMC) through deep foundation models. This framework, outlined in an arXiv paper (2608.08398), distinguishes various types of uncertainty based on model parameters, astronomical data, reference standards, and inherent physical ambiguities. This distinction is crucial, as astronomical data often contain noise from both instrumental and environmental factors, while the ongoing evolution of galaxies introduces intrinsic morphological uncertainties. Existing foundation models function as deterministic point estimators and do not account for uncertainty. UEGMC serves as a post-hoc framework that can predict uncertainties directly, enhancing the classification process and ultimately improving the reliability of GMC used for studying cosmic evolution.
Key facts
- UEGMC is a post-hoc framework for uncertainty estimation in galaxy morphology classification.
- It categorizes uncertainty into types based on model parameters, astronomical data, reference standards, and intrinsic physical ambiguities.
- Current foundation models are deterministic point estimators and do not quantify uncertainty.
- Astronomical data are noisy due to instrumental and environmental limitations.
- The continuous evolution of galaxies creates intrinsic morphological ambiguity.
- The framework can directly predict uncertainties.
- The paper is available on arXiv with identifier 2608.08398.
- The research addresses a gap in evaluating uncertainty in GMC.
Entities
Institutions
- arXiv