Active galactic nuclei-heated dust revealed in “little red dots”
I. Delvecchio; E. Daddi; B. Magnelli; D. Elbaz; M. Giavalisco; Alberto Traina; G. Lanzuisi; Hollis B. Akins · 2025 · Astronomy and Astrophysics
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
Little red dots (LRDs) are a puzzling population of extragalactic sources whose origin is highly debated. In this work, we performed a comprehensive stacking analysis of NIRCam, MIRI, and ALMA images of a large and homogeneously selected sample of LRDs from multiple JWST Legacy fields. We report clear evidence of hot-dust emission in the median stacked spectral energy distribution (SED) that features a rising near-infrared continuum up to rest-frame λ rest ∼ 3 μm, which is best explained by a standard dusty active galactic nucleus (AGN) structure. Although LRDs are likely to be a heterogeneous
Abstract by I. Delvecchio; E. Daddi; B. Magnelli; D. Elbaz; M. Giavalisco; Alberto Traina; G. Lanzuisi; Hollis B. Akins, Astronomy and Astrophysics (2025) — licensed CC BY 4.0.
About to run something similar?
Run an AI Precheck on your own design to catch failure modes like this one before you spend the time. Your first desk check is free.
Related failures
Scale-free networks are rare.
Negative / Null Result ReportScale-free networks are rare
Negative / Null Result ReportDark Matter Search Results from the CDMS II Experiment
Negative / Null Result ReportDetection of a gamma-ray source in the Galactic Center consistent with extended emission from dark matter annihilation and concentrated astrophysical emission
Negative / Null Result ReportTransient Water Vapor at Europa’s South Pole
Negative / Null Result ReportThe NANOGrav 11 Year Data Set: Pulsar-timing Constraints on the Stochastic Gravitational-wave Background
WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: OpenAlex · DOI 10.1051/0004-6361/202557164
