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An audit of AION-1 reveals that the survey detection channel overrides pixels and introduces systematic bias in redshift measurements, threatening future survey accuracy.

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AION-1: Survey Detection Channel Overrides Pixels and Biases Tomographic Redshifts

Introduction

FAQ

What is AION-1?

AION-1 is a multimodal astronomical foundation model (39 modalities) trained on over 200 million objects, used to extract properties like flux, size, and redshift.

How does the bias affect redshift measurements?

The detection-channel bias increases redshift errors by a median 0.71 times the LSST DESC requirement, sometimes exceeding it.

Can this bias be removed?

Yes, removing the detection channel or using spectroscopy eliminates the effect at no measurable cost.

Why does this matter for the MENA region?

With growing survey projects in the region, teams must be cautious when using foundation models to ensure accurate results.

Source: arXiv cs.AI

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