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20232025
most citedGamma-ray Bursts as Distance Indicators by a Statistical Learning Approach

24 citations · 38 across the 8 of their papers we have counts for

collaborators

8 papers

astro-ph.HE2025

Redshift Classification of Optical Gamma-Ray Bursts using Supervised Learning

Milind Sarkar, Maria Giovanna Dainotti, Nikita S. Khatiya +9

Modern satellite missions localize many gamma-ray bursts (GRBs), but spectroscopic redshifts remain scarce because rapid optical follow-up is often unavailable. Optical plateau cla…

astro-ph.HE2024

Gamma-Ray Burst Light Curve Reconstruction: A Comparative Machine and Deep Learning Analysis

A. Manchanda, A. Kaushal, M. G. Dainotti +14

Gamma-Ray Bursts (GRBs), observed at high-z, are probes of the evolution of the Universe and can be used as cosmological tools. Thus, we need correlations with small dispersion amo…

astro-ph.HE2024★ 14 cited

GRB Redshift Estimation using Machine Learning and the Associated Web-App

Aditya Narendra, Maria Dainotti, Milind Sarkar +7

Context. Gamma-ray bursts (GRBs), observed at redshifts as high as 9.4, could serve as valuable probes for investigating the distant Universe. However, this necessitates an increas…

astro-ph.HE2024

GRB Redshift Classifier to Follow-up High-Redshift GRBs Using Supervised Machine Learning

Maria Giovanna Dainotti, Shubham Bhardwaj, Christopher Cook +8

Gamma-ray bursts (GRBs) are intense, short-lived bursts of gamma-ray radiation observed up to a high redshift () due to their luminosities. Thus, they can serve as cosmo…

astro-ph.HE2024★ 24 cited

Gamma-ray Bursts as Distance Indicators by a Statistical Learning Approach

Maria Giovanna Dainotti, Aditya Narendra, Agnieszka Pollo +6

Gamma-ray bursts (GRBs) can be probes of the early universe, but currently, only 26% of GRBs observed by the Neil Gehrels Swift Observatory GRBs have known redshifts () due to o…

astro-ph.CO2024

Inferring the redshift of more than 150 GRBs with a Machine Learning Ensemble model

Maria Giovanna Dainotti, Elias Taira, Eric Wang +8

Gamma-Ray Bursts (GRBs), due to their high luminosities are detected up to redshift 10, and thus have the potential to be vital cosmological probes of early processes in the univer…

astro-ph.CO2023

Shedding new light on the Hubble constant tension through Supernovae Ia

Maria Giovanna Dainotti, Biagio De Simone, Giovanni Montani +1

The standard cosmological model, the CDM model, is the most suitable description for our universe. This framework can explain the accelerated expansion phase of the universe but…

astro-ph.CO2023

Supernovae Ia and Gamma-Ray Bursts together shed new lights on the Hubble constant tension and cosmology

M. G. Dainotti, B. De Simone, G. Montani +4

The LambdaCDM model is the most commonly accepted framework in modern cosmology. However, the local measurements of the Hubble constant, H0, via the Supernovae Type Ia (SNe Ia) cal…