FRB 20190517C , the SIMBAD biblio

FRB 20190517C , the SIMBAD biblio (11 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.16CEST11:40:02

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Bibcode/DOI Score in Title|Abstract|
Keywords 		in a table in teXt, Caption, ... Nb occurence Nb objects in ref Citations
(from ADS) 		Title First 3 Authors
2021ApJS..257...59C viz 17       D               1 494 238 The first CHIME/FRB Fast Radio Burst catalog. CHIME/FRB COLLABORATION, AMIRI M., ANDERSEN B.C., et al.
2022MNRAS.509.1227C viz 17       D               1 486 19 Uncloaking hidden repeating fast radio bursts with unsupervised machine learning. CHEN B.H., HASHIMOTO T., GOTO T., et al.
2022MNRAS.511.1961H viz 17       D               1 498 21 Energy functions of fast radio bursts derived from the first CHIME/FRB catalogue. HASHIMOTO T., GOTO T., CHEN B.H., et al.
2023MNRAS.519.1823Z 17       D               1 65 5 Machine learning classification of CHIME fast radio bursts - II. Unsupervised methods. ZHU-GE J.-M., LUO J.-W. and ZHANG B.
2023ApJ...955..155A 17       D               5 46 ~ Search for Gravitational Waves Associated with Fast Radio Bursts Detected by CHIME/FRB during the LIGO-Virgo Observing Run O3a. ABBOTT R., ABBOTT T.D., ACERNESE F., et al.
2024ApJ...969..145C 18       D               1 135 ~ Updating the First CHIME/FRB Catalog of Fast Radio Bursts with Baseband Data. CHIME/FRB COLLABORATION, AMIRI M., ANDERSEN B.C., et al.
2025ApJ...979..160S 65       D     X         2 145 ~ Morphology of 137 Fast Radio Bursts Down to Microsecond Timescales from the First CHIME/FRB Baseband Catalog. SAND K.R., CURTIN A.P., MICHILLI D., et al.
2025ApJ...980..185S 19       D               1 147 ~ Exploring the Key Features of Repeating Fast Radio Bursts with Machine Learning. SUN W.-P., ZHANG J.-G., LI Y., et al.
2025ApJ...982...16Q 19       D               1 273 ~ Unsupervised Machine Learning for Classifying CHIME Fast Radio Bursts and Investigating Empirical Relations. QIANG D.-C., ZHENG J., YOU Z.-Q., et al.
2025PASP..137l4102M 93           X         2 33 ~ Machine Learning Classification of Baseband Data of CHIME FRBs. MADHESHWARAN M., HASHIMOTO T., GOTO T., et al.
2026ApJ...998..339S 20       D               1 135 ~ A Practical Framework for Estimating the Repetition Likelihood of Fast Radio Bursts from Spectral Morphology. SUN W.-P., ZHANG Y.-K., ZHANG J.-G., et al.

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