24 citations · 128 across the 13 of their papers we have counts for
9 papers · 1 filter
Probing evolution of Long GRB properties through their cosmic formation history aided by Machine Learning predicted redshifts
Dhruv S. Bal, Aditya Narendra, Maria Giovanna Dainotti +3
Gamma-ray Bursts (GRBs) are valuable probes of cosmic star formation reaching back into the epoch of reionization, and a large dataset with known redshifts () is an important in…
Probing Evolution of Long Gamma-Ray Burst Properties through Their Cosmic Formation History
Nikita S. Khatiya, Maria Giovanna Dainotti, Aditya Narendra +3
The astrophysics of Long GRB (LGRB) progenitors as well as possible cosmological evolution in their properties still poses many open questions. Previous studies suggest that the LG…
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…
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…
GRB Optical and X-ray Plateau Properties Classifier Using Unsupervised Machine Learning
Shubham Bhardwaj, Maria G. Dainotti, Sachin Venkatesh +4
The division of Gamma-ray bursts (GRBs) into different classes, other than the "short" and "long", has been an active field of research. We investigate whether GRBs can be classifi…
Fermi LAT AGN classification using supervised machine learning
Nathaniel Cooper, Maria Giovanna Dainotti, Aditya Narendra +2
Classifying Active Galactic Nuclei (AGN) is a challenge, especially for BL Lac Objects (BLLs), which are identified by their weak emission line spectra. To address the problem of c…
A Stochastic Approach To Reconstruct Gamma Ray Burst Lightcurves
Maria G. Dainotti, Ritwik Sharma, Aditya Narendra +4
Gamma-Ray Bursts (GRBs), being observed at high redshift (z = 9.4), vital to cosmological studies and investigating Population III stars. To tackle these studies, we need correlati…
Predicting the redshift of gamma-ray loud AGNs using Supervised Machine Learning: Part 2
Aditya Narendra, Spencer James Gibson, Maria Giovanna Dainotti +4
Measuring the redshift of active galactic nuclei (AGNs) requires the use of time-consuming and expensive spectroscopic analysis. However, obtaining redshift measurements of AGNs is…
Predicting the redshift of gamma-ray loud AGNs using supervised machine learning
Maria Giovanna Dainotti, Malgorzata Bogdan, Aditya Narendra +8
AGNs are very powerful galaxies characterized by extremely bright emissions coming out from their central massive black holes. Knowing the redshifts of AGNs provides us with an opp…