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Cited article:

Model-independent gamma-ray bursts constraints on cosmological models using machine learning

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Gamma-Ray Bursts Calibrated by Using Artificial Neural Networks from the Pantheon+ Sample

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Universe 11 (8) 241 (2025)
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Does the Amati correlation exhibit redshift-driven heterogeneity in long GRBs?

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Physics Letters B 866 139500 (2025)
https://doi.org/10.1016/j.physletb.2025.139500

Gamma-ray bursts calibrated from the observational H(z) data in artificial neural network framework

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Journal of High Energy Astrophysics 47 100377 (2025)
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Constraints on cosmological models with gamma-ray bursts in cosmology-independent way

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International Journal of Modern Physics D 34 (02) (2025)
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A Study of Cosmological Models Based on the Long Gamma-Ray Burst Duration Histogram

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The Astrophysical Journal 980 (2) 184 (2025)
https://doi.org/10.3847/1538-4357/adad72

H0=69.8±1.3  km s−1 Mpc−1 , Ωm0=0.288±0.017 , and other constraints from lower-redshift, non-CMB, expansion-rate data

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Physical Review D 107 (10) (2023)
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Gamma rays bursts: a viable cosmological probe?

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Journal of Cosmology and Astroparticle Physics 2023 (07) 021 (2023)
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Standardizing Platinum Dainotti-correlated gamma-ray bursts, and using them with standardized Amati-correlated gamma-ray bursts to constrain cosmological model parameters

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Intermediate redshift calibration of gamma-ray bursts and cosmic constraints in non-flat cosmology

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Calibrating Gamma-Ray Bursts by Using a Gaussian Process with Type Ia Supernovae

Nan Liang, Zihao Li, Xiaoyao Xie and Puxun Wu
The Astrophysical Journal 941 (1) 84 (2022)
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E iso–Ep correlation of gamma-ray bursts: calibration and cosmological applications

X D Jia, J P Hu, J Yang, B B Zhang and F Y Wang
Monthly Notices of the Royal Astronomical Society 516 (2) 2575 (2022)
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