Statistical Analysis of Multiband Plateaus in Gamma-Ray Burst Afterglows

Abstract Plateau features are frequently observed in the afterglows of gamma-ray bursts (GRBs), yet their physical origins remain under debate. In this work, we compile a sample of 124 GRBs with known redshifts and simultaneous X-ray and optical afterglow observations. We categorize them into four subsets based on the existence of plateaus and the bands in which they appear. Namely, Dataset 1: plateaus are detected simultaneously in both X-ray and optical bands (75 bursts); Dataset 2: plateaus are only in X-rays (15 bursts); Dataset 3: plateaus appear only in the optical band (17 bursts); Dataset 4: no plateaus in either band (17 bursts). We employ these datasets to test the applicability of the energy-injection model by examining whether the temporal decay index α and the spectral index β of GRB afterglows simultaneously satisfy the closure relations in X-ray and optical bands. We find that 47 bursts of Dataset 1 simultaneously obey the closure relations in both bands under the conditions of the electron spectral index p > 2 and the injection parameter q ∈ (0, 0.5), and 69 of the dataset for p > 1 and q ∈ (0, 0.8), providing strong support for the energy-injection interpretation. However, for Datasets 2 and 3, although α and β of the plateaus mostly satisfy the closure relations, those in the other band show significant deviations, which implies that bursts with a single-band plateau are inconsistent with the interpretation of energy injection. Furthermore, we also compare the isotropic X-ray energy of plateaus with the rotational energy budget of millisecond magnetars.

Authors

Publication Details

Journal
The Astrophysical Journal
Published
2026-02-17
DOI
https://doi.org/10.3847/1538-4357/ae346b
Citations
1
Primary Topic
Gamma-ray bursts and supernovae
Type
article
Field-Weighted Citation Impact
23.83
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article

Statistical Analysis of Multiband Plateaus in Gamma-Ray Burst Afterglows

Bao-Quan Huang, Tong Liu, Chen Deng, Xiao-Yan Li
1 citations
The Astrophysical Journal
Gamma-ray bursts and supernovae
23.83
article

Statistical Analysis of Multiband Plateaus in Gamma-Ray Burst Afterglows

Bao-Quan Huang, Tong Liu, Chen Deng, Xiao-Yan Li
article en
1 citations

Abstract

Abstract Plateau features are frequently observed in the afterglows of gamma-ray bursts (GRBs), yet their physical origins remain under debate. In this work, we compile a sample of 124 GRBs with known redshifts and simultaneous X-ray and optical afterglow observations. We categorize them into four subsets based on the existence of plateaus and the bands in which they appear. Namely, Dataset 1: plateaus are detected simultaneously in both X-ray and optical bands (75 bursts); Dataset 2: plateaus are only in X-rays (15 bursts); Dataset 3: plateaus appear only in the optical band (17 bursts); Dataset 4: no plateaus in either band (17 bursts). We employ these datasets to test the applicability of the energy-injection model by examining whether the temporal decay index α and the spectral index β of GRB afterglows simultaneously satisfy the closure relations in X-ray and optical bands. We find that 47 bursts of Dataset 1 simultaneously obey the closure relations in both bands under the conditions of the electron spectral index p > 2 and the injection parameter q ∈ (0, 0.5), and 69 of the dataset for p > 1 and q ∈ (0, 0.8), providing strong support for the energy-injection interpretation. However, for Datasets 2 and 3, although α and β of the plateaus mostly satisfy the closure relations, those in the other band show significant deviations, which implies that bursts with a single-band plateau are inconsistent with the interpretation of energy injection. Furthermore, we also compare the isotropic X-ray energy of plateaus with the rotational energy budget of millisecond magnetars.

The Astrophysical JournalVol. 998(2)
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Gamma-ray bursts and supernovae
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Statistical Analysis of Multiband Plateaus in Gamma-Ray Burst Afterglows — Bao-Quan Huang, Tong Liu, et al. · The Astrophysical Journal (2026) | TGRS Research Map | TGRS