Pith. sign in

REVIEW 1 cited by

Symbiotic stars in the era of modern ground- and space-based surveys

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2504.16825 v1 pith:5MQ55433 submitted 2025-04-23 astro-ph.SR

classification astro-ph.SR
keywords symbioticstarssurveysclassificationground-interactingspace-basedvariability
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

Symbiotic stars, interacting binaries composed of a cool giant and a hot compact companion, exhibit complex variability across the electromagnetic spectrum. Over the past decades, large-scale photometric and spectroscopic surveys from ground- and space-based observatories have significantly advanced their discovery and characterization. These datasets have transformed the search for new symbiotic candidates, providing extensive time-domain information crucial for their classification and analysis. This review highlights recent observational results that have expanded the known population of symbiotic stars, refined classification criteria, and enhanced our understanding of their variability. Despite these advances, fundamental questions remain regarding their long-term evolution, mass transfer and accretion processes, or their potential role as progenitors of Type Ia supernovae. With ongoing and upcoming surveys, the coming years promise new discoveries and a more comprehensive picture of these intriguing interacting systems.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Symbiotic star candidates in Gaia Data Release 3

    astro-ph.SR 2025-06 conditional novelty 5.0 of 10

    A Gaia DR3 machine-learning search yields 1,674 new symbiotic star candidates, 25 with X-ray emission.

Pith tools