Cover Image

Frabjous: Deep Learning Fast Radio Burst Morphologies

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kumar, Ajay, Mahabal, Ashish A., Tendulkar, Shriharsh P.
Format:	Preprint
Published:	2025
Subjects:	Instrumentation and Methods for Astrophysics High Energy Astrophysical Phenomena
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Identifying pulsar candidates in interferometric radio images using scintillation
by: Salal, Jitendra, et al.
Published: (2024)

Modeling the Morphology of Fast Radio Bursts and Radio Pulsars with fitburst
by: Fonseca, Emmanuel, et al.
Published: (2023)

Using Deep Learning for Robust Classification of Fast Radio Bursts
by: Arni, Rohan, et al.
Published: (2025)

The Second CHIME/FRB Catalog of Fast Radio Bursts
by: FRB Collaboration, et al.
Published: (2026)

A commensal Fast Radio Burst search pipeline for the Murchison Widefield Array
by: Sokolowski, M., et al.
Published: (2024)

Revealing Hidden Repeaters in the CHIME/FRB Catalog: Semi-Supervised Insights into the Fast Radio Burst Population
by: Mankatwit, N., et al.
Published: (2025)

Towards DM-free search for Fast Radio Bursts with Machine Learning -- I. An implementation on multibeam data
by: Chen, Yao, et al.
Published: (2025)

A Fast Radio Burst monitor with a Compact All-Sky Phased Array (CASPA)
by: Luo, R., et al.
Published: (2024)

Enhanced Astrometry of the Rapid ASKAP Continuum Survey for Precise Localisation of Fast Radio Bursts
by: Jaini, Akhil, et al.
Published: (2025)

DRAFTS: A Deep Learning-Based Radio Fast Transient Search Pipeline
by: Zhang, Yong-Kun, et al.
Published: (2024)

TONE: A CHIME/FRB Outrigger Pathfinder for localizations of Fast Radio Bursts using Very Long Baseline Interferometry
by: Sanghavi, Pranav, et al.
Published: (2023)

Rare Event Classification with Weighted Logistic Regression for Identifying Repeating Fast Radio Bursts
by: Herrera-Martin, Antonio, et al.
Published: (2024)

Unsupervised Machine Learning for Classifying CHIME Fast Radio Bursts and Investigating Empirical Relations
by: Qiang, Da-Chun, et al.
Published: (2024)

Machine Phenomenology: A Simple Equation Classifying Fast Radio Bursts
by: Liu, Yang, et al.
Published: (2025)

A Proposal for a Fast Infrared Bursts Detector
by: Drago, Alessandro, et al.
Published: (2024)

Comparative analysis of machine learning techniques for feature selection and classification of Fast Radio Bursts
by: Júnior, Ailton J. B., et al.
Published: (2025)

The BINGO Project IX: Search for Fast Radio Bursts -- A Forecast for the BINGO Interferometry System
by: Santos, Marcelo V. dos, et al.
Published: (2023)

Ghosts of eruptions past: Searching for historical Galactic supernovae using variable thermal dust echoes and machine learning
by: Vega, Justin, et al.
Published: (2026)

Enhancing Fast Radio Transient Detection with Mask R-CNN Image Segmentation
by: Diaz, Sergio Belmonte, et al.
Published: (2025)

A VLBI Software Correlator for Fast Radio Transients
by: Leung, Calvin, et al.
Published: (2024)

Application of Deep Learning Methods for Distinguishing Gamma-Ray Bursts from Fermi/GBM TTE Data
by: Zhang, Peng, et al.
Published: (2023)

Radio Morphing: Fast computation of inclined air shower radio emission
by: Chiche, Simon, et al.
Published: (2026)

Commensal Transient Searches with MeerKAT in Gamma-Ray Burst and Supernova Fields
by: Chastain, S. I., et al.
Published: (2024)

A Practical Framework for Estimating the Repetition Likelihood of Fast Radio Bursts from Spectral Morphology
by: Sun, Wan-Peng, et al.
Published: (2025)

A VLBI Calibrator Grid at 600MHz for Fast Radio Transient Localizations with CHIME/FRB Outriggers
by: Andrew, Shion, et al.
Published: (2024)

Large Language Model-driven Analysis of General Coordinates Network (GCN) Circulars
by: Sharma, Vidushi, et al.
Published: (2025)

A Machine Learning empowered search for Sub-Minute Optical Transient Events with the Deeper, Wider, Faster programme
by: Goode, Simon R., et al.
Published: (2025)

Capability of Searching for Kilonova Associated with a Short Gamma-ray Burst by SVOM
by: Wang, J., et al.
Published: (2024)

Advancing Gamma-Ray Burst Identification through Transfer Learning with Convolutional Neural Networks
by: Zhang, Peng, et al.
Published: (2024)

Implications of Joint Spectral Analysis of Gamma-Ray Bursts detected by Fermi Large Area Telescope and Gamma-ray Burst Monitor on Phenomenological Correlations
by: Aldowma, T. K. M., et al.
Published: (2025)

Exploring the Key Features of Repeating Fast Radio Bursts with Machine Learning
by: Sun, Wan-Peng, et al.
Published: (2024)

Fast Radio Bursts as Standard Candles for Cosmology
by: Guo, Han-Yue, et al.
Published: (2023)

Fastest or Significant: A Systematic Framework for Validating Global Minimum Variability Timescale Measurements of Gamma-ray Bursts
by: Bala, S., et al.
Published: (2025)

Deep Synoptic Array Science: Searching for Long Duration Radio Transients with the DSA-110
by: Sherman, Myles B., et al.
Published: (2025)

ClassiPyGRB: Machine Learning-Based Classification and Visualization of Gamma Ray Bursts using t-SNE
by: Garcia-Cifuentes, Keneth, et al.
Published: (2024)

Gamma-Ray Burst Polarimetry with the POLAR and POLAR-2 missions
by: De Angelis, Nicolas, et al.
Published: (2025)

Future Perspectives for Gamma-ray Burst Detection from Space
by: Bozzo, Enrico, et al.
Published: (2024)

Multi-Messenger Modeling of Low-Luminosity Gamma-Ray Bursts
by: Yu, Shiqi, et al.
Published: (2026)

CHIME/Slow overview and pilot survey: A new backend to search for second-duration radio transients with the CHIME telescope
by: Mate, Sujay, et al.
Published: (2026)

Sensitivity of the As-Built Askaryan Radio Array to Ultra-High Energy Neutrinos
by: ARA Collaboration, et al.
Published: (2026)