NAME Aquila South Cloud , the SIMBAD biblio

NAME Aquila South Cloud , the SIMBAD biblio (23 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.14CEST09:37:40


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Title First 3 Authors
2001ApJ...547..792D 80           X         2 69 1753 The Milky Way in molecular clouds: a new complete CO survey. DAME T.M., HARTMANN D. and THADDEUS P.
2018MNRAS.474.4672L 377       D     X C       9 29 7 The parsec-scale relationship between ICO and AV in local molecular clouds. LEE C., LEROY A.K., BOLATTO A.D., et al.
2019A&A...624A...6Y 16       D               2 53 35 Distances to molecular clouds at high galactic latitudes based on Gaia DR2. YAN Q.-Z., ZHANG B., XU Y., et al.
2019ApJ...879..125Z 220       D     X         6 154 171 A large catalog of accurate distances to local molecular clouds: the Gaia DR2 edition. ZUCKER C., SPEAGLE J.S., SCHLAFLY E.F., et al.
2020A&A...633A..51Z viz 17       D               1 108 127 A compendium of distances to molecular clouds in the Star Formation Handbook. ZUCKER C., SPEAGLE J.S., SCHLAFLY E.F., et al.
2020ApJ...896...60P 634       D S   X C       14 46 36 Star-gas surface density correlations in 12 nearby molecular clouds. I. Data collection and star-sampled analysis. POKHREL R., GUTERMUTH R.A., BETTI S.K., et al.
2021ApJ...912L..19P 60       D     X         2 16 23 The single-cloud star formation relation. POKHREL R., GUTERMUTH R.A., KRUMHOLZ M.R., et al.
2021ApJS..254...38S 42           X         1 28 14 The ultraviolet extinction map and dust properties at high galactic latitude. SUN M., JIANG B., YUAN H., et al.
2021A&A...653A..63S 17       D               2 81 17 Bird's eye view of molecular clouds in the Milky Way. I. Column density and star formation from sub-parsec to kiloparsec scales. SPILKER A., KAINULAINEN J. and ORKISZ J.
2021MNRAS.507.1904R 17       D               1 26 3 Spatial statistics in star-forming regions: is star formation driven by column density alone? RETTER B., HATCHELL J. and NAYLOR T.
2022MNRAS.511.1431H 60       D     X         2 13 7 High-precision star-formation efficiency measurements in nearby clouds. HU Z., KRUMHOLZ M.R., POKHREL R., et al.
2022A&A...667A.110S 17       D               1 68 ~ Bird's eye view of molecular clouds in the Milky Way II. Cloud kinematics from subparsec to kiloparsec scales. SPILKER A., KAINULAINEN J. and ORKISZ J.
2023ApJS..265...59Z 44           X         1 84 1 Distances to Nearby Molecular Clouds Traced by Young Stars. ZHANG M.
2023ApJ...949..105A 17       D               1 32 ~ The SPHEREx Target List of Ice Sources (SPLICES). ASHBY M.L.N., HORA J.L., LAKSHMIPATHAIAH K., et al.
2023ApJS..266...32P viz 435           X C       9 36 2 Extension of HOPS out to 500 pc (eHOPS). I. Identification and Modeling of Protostars in the Aquila Molecular Clouds. POKHREL R., MEGEATH S.T., GUTERMUTH R.A., et al.
2023A&A...674A..21M viz 17       D               1 11510 8 Gaia Data Release 3 Validating the classification of variable young stellar object candidates. MARTON G., ABRAHAM P., RIMOLDINI L., et al.
2023MNRAS.524.1855Z 348           X   F     7 31 ~ Parameters of 220 million stars from Gaia BP/RP spectra. ZHANG X., GREEN G.M. and RIX H.-W.
2023ApJ...959..135M 17       D               1 13 ~ Coevolution of Stars and Gas: Using an Analysis of Synthetic Observations to Investigate the Star-Gas Correlation in STARFORGE. MILLSTONE S., GUTERMUTH R., OFFNER S.S.R., et al.
2024A&A...682A..76S 45           X         1 14 ~ Stellar feedback in the star formation-gas density relation: Comparison between simulations and observations. SUIN P., ZAVAGNO A., COLMAN T., et al.
2025ApJ...979L..17Z 65       D     X         2 8 ~ Dust-extinction-curve Variation in the Translucent Interstellar Medium Is Driven by Polycyclic Aromatic Hydrocarbon Growth. ZHANG X., HENSLEY B.S. and GREEN G.M.
2025ApJ...988....5G 93             C       3 12 ~ The Dust Extinction Curve: Beyond R(V). GREEN G.M., ZHANG X. and ZHANG R.
2025A&A...699A.254G 47           X         1 24 ~ Peering through the veil: Investigating protoplanetary disk outer edges using backside visibility. GEORGE J., DOMINIK C. and GINSKI C.
2025ApJS..280...24T 93             C       1 18 ~ A Catalog of Hα Emission-line Stars and 785 Newly Identified Young Stellar Object Candidates from LAMOST Based on a Deep Learning Method. TAN L., MEI Y., QIAN J., et al.

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