Towards An Integrated Optical Transient Utility
S. R. Kulkarni

TL;DR
The paper discusses the severe bottleneck in spectrally classifying astronomical transients from large surveys, proposing a dual methodology approach and a coordinated effort to classify bright, nearby transients to improve understanding and follow-up opportunities.
Contribution
It introduces a dual methodology framework for transient classification and advocates for a coordinated effort to spectrally classify bright, nearby transients to address the classification bottleneck.
Findings
Only 10% of transients in 2019 were spectrally classified.
The bottleneck will worsen with upcoming surveys like LSST.
Proposes a coordinated spectroscopic classification program for bright, nearby transients.
Abstract
The ongoing optical time-domain astronomy surveys are routinely reporting fifty transient candidates per night. Here, I investigate the demographics of astronomical transients and supernova classifications reported to the Transient Name Server in the year 2019. I find that only a tenth of the transients were spectrally classified. This severe "bottleneck" problem should concern astronomers and also funding agencies. The bottleneck will get worse by a factor of 20 (or more) once LSST comes on line. We need to fundamentally rethink the purpose of surveys for transients. Here, after undertaking a detailed investigation of this issue I offer some solutions. Going forward, astronomers will employ two different methodologies: (1) multi-band photometric method which is well suited to the study of very large, many tens of thousands, samples of faint transients; (2) spectral classifications of…
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Taxonomy
TopicsGamma-ray bursts and supernovae · Stellar, planetary, and galactic studies · Astronomy and Astrophysical Research
