Unveiling compact planetary nebulae: Broad-band survey analysis and LAMOST confirmation
L. A. Guti\'errez-Soto, M. Bel\'en Mari, W. A. Weidmann, F. R. Faifer

TL;DR
This study introduces a new photometric method combining GAIA and Pan-STARRS data to identify compact planetary nebulae, confirmed through LAMOST spectra, and models their physical properties using Cloudy.
Contribution
The paper presents a novel color-color diagram-based selection technique for compact PNe, validated with spectroscopic data, enhancing identification accuracy and understanding of their properties.
Findings
LAMOST spectra confirm the effectiveness of the selection criteria.
Identified a high-ionization planetary nebula with specific spectral features.
Modeled nebular parameters including temperature, luminosity, and elemental abundances.
Abstract
Planetary nebulae (PNe) are pivotal for advancing our knowledge of stellar evolution and galactic chemical enrichment. Recent progress in surveys and data analysis has revolutionized PN research, leading to the discovery of new objects and deeper insights into their properties. We have devised a novel photometric selection method, integrating GAIA and Pan-STARRS photometry, to identify compact PN candidates. This approach utilizes color-color diagrams, specifically (G-g) versus (GBP-GRP) and (G-r) versus (GBP-GRP), as primary criteria for candidate selection. The subsequent verification step involves confirming these candidates through LAMOST spectroscopic data. By cross-referencing a comprehensive dataset of PNe, GAIA, Pan-STARRS, and LAMOST DR7 spectra, we explore the potential of our approach and the crucial role played by these surveys in PN research. The LAMOST spectra provide…
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