frb-voe: A Real-time Virtual Observatory Event Alert Service for Fast Radio Bursts

Abstract We present frb-voe , a publicly available software package that enables radio observatories to broadcast fast radio burst (FRB) alerts to subscribers through low-latency virtual observatory events (VOEvents). We describe a use case of frb-voe by the Canadian Hydrogen Intensity Mapping Experiment Fast Radio Burst (CHIME/FRB) Collaboration, which has broadcast thousands of FRB alerts to subscribers worldwide. Using this service, observers have daily opportunities to conduct rapid multiwavelength follow-up observations of new FRB sources. Alerts are distributed as machine-readable reports and as emails containing FRB metadata, and are available to the public within approximately 13 s of detection. A sortable database and a downloadable JSON file containing FRB metadata from all broadcast alerts can be found on CHIME/FRB’s public webpage. The frb-voe service also provides users with the ability to retrieve FRB names from the Transient Name Server through the frb-voe client user interface. The frb-voe service can act as a foundation on which any observatory that detects FRBs can build its own VOEvent broadcasting service to contribute to the coordinated multiwavelength follow-up of astrophysical transients.

Authors

Publication Details

Journal
The Astronomical Journal
Published
2024-12-18
DOI
https://doi.org/10.3847/1538-3881/ad9451
Citations
6
Primary Topic
Pulsars and Gravitational Waves Research
Type
article
Field-Weighted Citation Impact
1.99

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

frb-voe: A Real-time Virtual Observatory Event Alert Service for Fast Radio Bursts

Paul Scholz, A. V. Zwaniga, Ayush Pandhi, Kiyoshi W. Masui et al.
6 citations
The Astronomical Journal
Pulsars and Gravitational Waves Research
1.99
article

frb-voe: A Real-time Virtual Observatory Event Alert Service for Fast Radio Bursts

Paul Scholz, A. V. Zwaniga, Ayush Pandhi, Kiyoshi W. Masui, Kaitlyn Shin, Thomas C. Abbott, Shriharsh P. Tendulkar, Charanjot Brar, V. M. Kaspi, Amanda M. Cook, Ziggy Pleunis, Emily Petroff, P. J. Boyle, Ronniy C. Joseph, Mohit Bhardwaj
article en
6 citations

Abstract

Abstract We present frb-voe , a publicly available software package that enables radio observatories to broadcast fast radio burst (FRB) alerts to subscribers through low-latency virtual observatory events (VOEvents). We describe a use case of frb-voe by the Canadian Hydrogen Intensity Mapping Experiment Fast Radio Burst (CHIME/FRB) Collaboration, which has broadcast thousands of FRB alerts to subscribers worldwide. Using this service, observers have daily opportunities to conduct rapid multiwavelength follow-up observations of new FRB sources. Alerts are distributed as machine-readable reports and as emails containing FRB metadata, and are available to the public within approximately 13 s of detection. A sortable database and a downloadable JSON file containing FRB metadata from all broadcast alerts can be found on CHIME/FRB’s public webpage. The frb-voe service also provides users with the ability to retrieve FRB names from the Transient Name Server through the frb-voe client user interface. The frb-voe service can act as a foundation on which any observatory that detects FRBs can build its own VOEvent broadcasting service to contribute to the coordinated multiwavelength follow-up of astrophysical transients.

The Astronomical JournalVol. 169(1)
Natural Sciences and Engineering Research Council of Canada
Partnerships for the goals
Openalex Percentile: Top 14%
Pulsars and Gravitational Waves Research
1.99
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.