Analysis of Multi-epoch JWST Images of ∼300 Little Red Dots: Tentative Detection of Variability in a Minority of Sources

Abstract The James Webb Space Telescope (JWST) has revealed a population of red and compact sources at z ≳ 5 known as “little red dots” (LRDs) that are likely active galactic nuclei (AGNs). Here, we present a comprehensive study of the variability of 314 LRDs with multi-epoch JWST observations in five deep fields: Ultra Deep Survey, GOODS-S, GOODS-N, A2744, and COSMOS. Our analyses use all publicly available JWST NIRCam imaging data in these fields, together with multi-epoch JWST MIRI images available. We measure the significance (signal-to-noise ratio or SNR var ) of the variabilities for all LRDs and statistically evaluate their variabilities using the SNR var distributions. We pay particular attention to the systematic offsets of photometric zero-points among different epochs that seem to commonly exist. The derived SNR var distributions of the LRDs, including those with broad H α /H β emission lines, follow the standard Gaussian distribution, and are generally consistent with those of the comparison samples of objects detected in the same images. This finding suggests that the LRD population, on average, does not show strong variability, which can be explained by super-Eddington accretion of the black holes in AGNs. Alternatively, many of them may be dominated by galaxies. We also find eight strongly variable LRD candidates with variability amplitudes of 0.24–0.82 mag. The rest-frame optical spectral energy distributions of these variable LRDs should have a significant AGN contribution. Future JWST observations will provide more variability information on LRDs.

Authors

Publication Details

Journal
The Astrophysical Journal
Published
2025-05-19
DOI
https://doi.org/10.3847/1538-4357/adcb3e
Citations
30
Primary Topic
Gamma-ray bursts and supernovae
Type
article
Field-Weighted Citation Impact
34.64
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article

Analysis of Multi-epoch JWST Images of ∼300 Little Red Dots: Tentative Detection of Variability in a Minority of Sources

Linhua Jiang, Luis C. Ho, Zijian Zhang, Weiyang Liu
30 citations
The Astrophysical Journal
Gamma-ray bursts and supernovae
34.64
article

Analysis of Multi-epoch JWST Images of ∼300 Little Red Dots: Tentative Detection of Variability in a Minority of Sources

Linhua Jiang, Luis C. Ho, Zijian Zhang, Weiyang Liu
article en
30 citations

Abstract

Abstract The James Webb Space Telescope (JWST) has revealed a population of red and compact sources at z ≳ 5 known as “little red dots” (LRDs) that are likely active galactic nuclei (AGNs). Here, we present a comprehensive study of the variability of 314 LRDs with multi-epoch JWST observations in five deep fields: Ultra Deep Survey, GOODS-S, GOODS-N, A2744, and COSMOS. Our analyses use all publicly available JWST NIRCam imaging data in these fields, together with multi-epoch JWST MIRI images available. We measure the significance (signal-to-noise ratio or SNR var ) of the variabilities for all LRDs and statistically evaluate their variabilities using the SNR var distributions. We pay particular attention to the systematic offsets of photometric zero-points among different epochs that seem to commonly exist. The derived SNR var distributions of the LRDs, including those with broad H α /H β emission lines, follow the standard Gaussian distribution, and are generally consistent with those of the comparison samples of objects detected in the same images. This finding suggests that the LRD population, on average, does not show strong variability, which can be explained by super-Eddington accretion of the black holes in AGNs. Alternatively, many of them may be dominated by galaxies. We also find eight strongly variable LRD candidates with variability amplitudes of 0.24–0.82 mag. The rest-frame optical spectral energy distributions of these variable LRDs should have a significant AGN contribution. Future JWST observations will provide more variability information on LRDs.

The Astrophysical JournalVol. 985(1)
Openalex Percentile: Top 0%
Gamma-ray bursts and supernovae
34.64
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