{"paper":{"title":"Multi-wavelength diagnostic properties of Galactic Planetary Nebulae detected by GLIMPSE-I","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.GA","authors_text":"(2) Department of Physics, 3), (3) Australian Astronomical Observatory, (4) Sydney Institute for Astronomy, 5), (5) Centre for Astrophysics Research, 6)((1) Radio Astronomy Lab., (6) School of Information Technologies, Anne J. Green (4), Australia, Australia), Brent Miszalski (2, CA, College Lane Campus, David J. Frew (2), Epping, Hatfield AL 10 9AB, Macquarie University, Martin Cohen (1), NSW, Quentin A. Parker (2, School of Physics, STRI, Sydney, Tara Murphy (4, UC-Berkeley, UK, University of Hertfordshire, University of Sydney, USA","submitted_at":"2010-12-10T20:21:20Z","abstract_excerpt":"We uniformly analyze 136 optically detected PNe and candidates from the GLIMPSE-I survey in order to to develop robust, multi-wavelength, classification criteria to augment existing diagnostics and provide pure PN samples. PNe represent powerful astrophysical probes. They are important dynamical tracers, key sources of ISM chemical enrichment, windows into late stellar evolution, and potent cosmological yardsticks. But their utility depends on separating them unequivocally from the many nebular mimics which can strongly resemble bona fide PNe in traditional optical images and spectra. We merge"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1012.2370","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}