{
  "abstract": "Unresolved binaries are common in spectroscopic surveys, and their blended light biases the parameters inferred for them. Methods to detect them exist, but applying one to a new data release is limited mostly by operating know-how that is rarely written down. We package the double-lined spectroscopic binary decomposition of El-Badry et al. (2018b) for reuse on APOGEE spectra, with the executable operations as nine tool servers built on the Model Context Protocol (MCP) and the operating decisions as a Skill. Run over the 238,205 DR19 dwarfs under a fixed driver script, the classifier flags 41,466 SB2 candidates, about fifteen times the 2,645 identified in DR13, though not at matched purity. The 8.1% control false-positive rate implies that close to 40% are single stars, so we release the sample as a candidate list. The joint visit fit prefers two stars for 46% of the SB2 with multiple visits. Of these, 4,149 have velocity changes above 10 km/s. This cut is also passed by 7% of flagged single stars. The pipeline velocities identify another 3,943 velocity variables. We compare the eccentricities of the best-sampled binaries and find no significant difference between the close twins (q > 0.95) and matched non-twins, which excludes an eccentricity excess of the kind measured at wide separations. An ablation of two operating decisions illustrates that a fresh agent recovers a removed decision only when its absence leaves a measurable trace in the fit. We release the tools, the Skill, and the DR19 catalog with its multi-epoch supplement.",
  "abstract_shown": true,
  "affiliations": [
    "The Ohio State University"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 2,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Serat Mahmud Saad"
    },
    {
      "affs": [
        0
      ],
      "name": "Yuan-Sen Ting"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/14sh7q71nt7fa.bib",
  "cited_by": 0,
  "doi": "10.33232/001c.172821",
  "fulltext_url": null,
  "id": "14sh7q71nt7fa",
  "issns": [
    "2565-6120"
  ],
  "landing_url": "https://astro.theoj.org/article/172821-spectroscopic-binary-detection-as-agent-callable-tools-detecting-40-000-main-sequence-binary-candidates-from-sdss-dr19-apogee-spectra",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "http://creativecommons.org/licenses/by/4.0",
  "metadata_licence": null,
  "native_subjects": [
    [
      "openalex",
      "3103|Stellar, planetary, and galactic studies"
    ]
  ],
  "openalex": "W7202257069",
  "pdf_url": null,
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-22",
  "publisher": "Maynooth University",
  "ris": "https://research.draconitic.com/paper/14sh7q71nt7fa.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:18:19Z",
      "native_id": "10.33232/001c.172821",
      "source": "crossref",
      "url": "https://astro.theoj.org/article/172821-spectroscopic-binary-detection-as-agent-callable-tools-detecting-40-000-main-sequence-binary-candidates-from-sdss-dr19-apogee-spectra"
    }
  ],
  "subjects": [
    {
      "field": "astronomy",
      "origin": "openalex:3103|Stellar, planetary, and galactic studies",
      "subfield": "stellar"
    }
  ],
  "title": "Spectroscopic Binary Detection as Agent-Callable Tools: Detecting 40,000+ Main-Sequence Binary Candidates from SDSS DR19 APOGEE Spectra",
  "title_text": "Spectroscopic Binary Detection as Agent-Callable Tools: Detecting 40,000+ Main-Sequence Binary Candidates from SDSS DR19 APOGEE Spectra",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:18:19Z",
  "url": "https://research.draconitic.com/paper/14sh7q71nt7fa",
  "venue": "The Open Journal of Astrophysics",
  "versions": [
    {
      "doi": "10.48550/arxiv.2608.10866",
      "pid": "edjf12czdh3n4",
      "relation": "preprint",
      "title": "Spectroscopic Binary Detection as Agent-Callable Tools: Detecting 40,000+ Main-Sequence Binary Candidates from SDSS DR19 APOGEE Spectra",
      "venue": "arXiv"
    }
  ]
}