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UGC 9310 , the SIMBAD biblio (45 results) | C.D.S. - SIMBAD4 rel 1.8 - 2024.04.24CEST18:06:16 |
Bibcode/DOI | Score |
in Title|Abstract| Keywords |
in a table | in teXt, Caption, ... | Nb occurence | Nb objects in ref |
Citations (from ADS) |
Title | First 3 Authors |
---|---|---|---|---|---|---|---|---|---|
1988ApJS...67....1T | 637 | 114 | Uncertainties in 21 centimeter redshifts. I. Data. | TIFFT W.G. and COCKE W.J. | |||||
1992A&AS...93..211F | 2164 | 70 | Groups of galaxies within 80 Mpc. II. The catalogue of groups and group members. | FOUQUE P., GOURGOULHON E., CHAMARAUX P., et al. | |||||
1993A&AS..100...47G | 4500 | 387 | General study of group membership. II. Determination of nearby groups. | GARCIA A.M. | |||||
1995AN....316...39B | 14 | D | 1 | 2139 | 0 | Construction of a diameter-limited sample of galaxies in the northern sky. The catalogue. | BARDELLI S. and ZUCCA E. | ||
1996AJ....112..937D | 57 | 34 | Neutral hydrogen around early-type galaxies. | DUPRIE K. and SCHNEIDER S.E. | |||||
1998ApJS..116...29G | 329 | 9 | Infrared observations of galaxies in the Local Universe. I. The survey and some representative results. | GRAUER A.D. and RIEKE M.J. | |||||
1999A&AS..140...89P | 14 | D | 1 | 16701 | 9 | Galaxy coordinates. II. Accurate equatorial coordinates for 17298 galaxies. | PATUREL G., PETIT C., PRUGNIEL P., et al. | ||
1999ApJS..125..409C | 13438 | 54 | Arcsecond positions of UGC galaxies. | COTTON W.D., CONDON J.J. and ARBIZZANI E. | |||||
1999PASP..111..438F | 14 | D | 1 | 19406 | 418 | The updated Zwicky catalog (UZC). | FALCO E.E., KURTZ M.J., GELLER M.J., et al. | ||
2000ApJ...543..178G | 6317 | 128 | Nearby optical galaxies: selection of the sample and identification of groups. | GIURICIN G., MARINONI C., CERIANI L., et al. | |||||
2002AJ....123.2976R | 8030 | 125 | The UZC-SSRS2 group catalog. | RAMELLA M., GELLER M.J., PISANI A., et al. | |||||
2003A&A...412...45P | 15 | D | 1 | 956205 | 750 | HYPERLEDA. I. Identification and designation of galaxies. | PATUREL G., PETIT C., PRUGNIEL P., et al. | ||
2003ApJS..149..327G | 223 | 4 | Infrared observations of galaxies in the local universe. II. 391 calibrated images with photometric and structural measurements. | GRAUER A.D., RIEKE M.J. and QUILLEN A.C. | |||||
2006MNRAS.371.1855W | 15 | D | 1 | 1006 | 148 | The Northern HIPASS catalogue - data presentation, completeness and reliability measures. | WONG O.I., RYAN-WEBER E.V., GARCIA-APPADOO D.A., et al. | ||
2007ApJS..173..185G | 15 | D | 1050 | 692 | The GALEX ultraviolet atlas of nearby galaxies. | GIL DE PAZ A., BOISSIER S., MADORE B.F., et al. | |||
2010PASP..122.1397S | 15 | D | 1 | 2337 | 421 | The Spitzer Survey of Stellar Structure in Galaxies (S4G). | SHETH K., REGAN M., HINZ J.L., et al. | ||
2011A&A...528A..28P | 15 | D | 1 | 209 | 9 | The WSRT Virgo HI filament survey. II. Cross correlation data. | POPPING A. and BRAUN R. | ||
2011A&A...532A..74B | 15 | D | 1 | 4469 | 118 | The EFIGI catalogue of 4458 nearby galaxies with detailed morphology. | BAILLARD A., BERTIN E., DE LAPPARENT V., et al. | ||
2014ApJ...781...12H | 16 | D | 2 | 2345 | 23 | Morphological parameters of a Spitzer survey of stellar structure in galaxies. | HOLWERDA B.W., MUNOZ-MATEOS J.-C., COMERON S., et al. | ||
2014A&A...569A..91K | 16 | D | 5 | 2200 | 25 | Optical imaging for the Spitzer Survey of Stellar Structure in Galaxies. Data release and notes on interacting galaxies. | KNAPEN J.H., ERROZ-FERRER S., ROA J., et al. | ||
2014MNRAS.444.3015L | 16 | D | 1 | 1052 | 5 | Spitzer/Infrared Array Camera near-infrared features in the outer parts of S4G galaxies. | LAINE S., KNAPEN J.H., MUNOZ-MATEOS J.-C., et al. | ||
2015ApJS..217...27A | 16 | D | 1 | 5847 | 53 | A catalog of visually classified galaxies in the local (z ∼ 0.01) universe. | ANN H.B., SEO M. and HA D.K. | ||
2015ApJS..217...32B | 16 | D | 2 | 2416 | 201 | A classical morphological analysis of galaxies in the Spitzer survey of stellar structure in galaxies (S4G). | BUTA R.J., SHETH K., ATHANASSOULA E., et al. | ||
2015ApJS..219....4S | 16 | D | 1 | 2355 | 203 | The Spitzer Survey of Stellar Structure in Galaxies (S4G): multi-component decomposition strategies and data release. | SALO H., LAURIKAINEN E., LAINE J., et al. | ||
2015ApJS..220....6B | 16 | D | 1 | 4071 | 18 | An updated ultraviolet catalog of GALEX nearby galaxies. | BAI Y., ZOU H., LIU J., et al. | ||
2015A&A...582A..86H | 16 | D | 1 | 1543 | 72 | Catalogue of the morphological features in the Spitzer Survey of Stellar Structure in Galaxies (S4G). | HERRERA-ENDOQUI M., DIAZ-GARCIA S., LAURIKAINEN E., et al. | ||
2017ApJ...837..120G | 16 | D | 1 | 14403 | 66 | LOSS revisited. I. Unraveling correlations between supernova rates and galaxy properties, as measured in a reanalysis of the Lick Observatory Supernova Search. | GRAUR O., BIANCO F.B., HUANG S., et al. | ||
2017ApJ...843...16K | 16 | D | 1 | 12390 | 133 | Galaxy groups within 3500 km s–1. | KOURKCHI E. and TULLY R.B. | ||
2018A&A...609A..37C | 16 | D | 1 | 882 | 80 | DustPedia: Multiwavelength photometry and imagery of 875 nearby galaxies in 42 ultraviolet-microwave bands. | CLARK C.J.R., VERSTOCKEN S., BIANCHI S., et al. | ||
2018ApJS..234...18B | 16 | D | 2 | 1932 | 28 | The GALEX/S4G surface brightness and color profiles catalog. I. Surface photometry and color gradients of galaxies. | BOUQUIN A.Y.K., GIL DE PAZ A., MUNOZ-MATEOS J.C., et al. | ||
2018ApJ...861...49H | 16 | D | 1 | 31269 | 293 | The Arecibo Legacy Fast ALFA survey: the ALFALFA extragalactic H I source catalog. | HAYNES M.P., GIOVANELLI R., KENT B.R., et al. | ||
2018ApJ...864..123M | 16 | D | 1 | 2964 | ~ | Galaxy structure in the ultraviolet: the dependence of morphological parameters on rest-frame wavelength. | MAGER V.A., CONSELICE C.J., SEIBERT M., et al. | ||
2019A&A...622A.132M | 17 | D | 1 | 875 | 21 | Dust emission profiles of DustPedia galaxies. | MOSENKOV A.V., BAES M., BIANCHI S., et al. | ||
2019A&A...623A...5D | 17 | D | 1 | 876 | 133 | A systematic metallicity study of DustPedia galaxies reveals evolution in the dust-to-metal ratios. | DE VIS P., JONES A., VIAENE S., et al. | ||
2019MNRAS.488..590B | 17 | D | 1 | 4467 | ~ | The systematics of galaxy morphology in the comprehensive de Vaucouleurs revised Hubble-Sandage classification system: application to the EFIGI sample. | BUTA R.J. | ||
2019ApJ...884...82K | 17 | D | 1 | 2243 | ~ | Global attenuation in spiral galaxies in optical and infrared bands. | KOURKCHI E., TULLY R.B., NEILL J.D., et al. | ||
2019ApJS..244...24L | 17 | D | 2 | 15505 | 136 | A z = 0 Multiwavelength Galaxy Synthesis. I. A WISE and GALEX atlas of local galaxies. | LEROY A.K., SANDSTROM K.M., LANG D., et al. | ||
2019A&A...631A..38L | 17 | D | 1 | 753 | 23 | Dust properties and star formation of approximately a thousand local galaxies. | LIANOU S., BARMBY P., MOSENKOV A.A., et al. | ||
2020MNRAS.494.1784A | 17 | D | 1 | 47437 | 9 | Local AGN survey (LASr): I. Galaxy sample, infrared colour selection, and predictions for AGN within 100 Mpc. | ASMUS D., GREENWELL C.L., GANDHI P., et al. | ||
2020ApJ...898...83D | 17 | D | 1 | 1461 | 15 | The black hole mass-color relations for early- and late-type galaxies: red and blue sequences. | DULLO B.T., BOUQUIN A.Y.K., GIL DE PAZ A., et al. | ||
2020ApJ...902..145K | 17 | D | 1 | 10723 | 45 | Cosmicflows-4: the catalog of ∼10,000 Tully-Fisher distances. | KOURKCHI E., TULLY R.B., EFTEKHARZADEH S., et al. | ||
2021A&A...649A..18G | 17 | D | 1 | 834 | 42 | A nearby galaxy perspective on dust evolution. Scaling relations and constraints on the dust build-up in galaxies with the DustPedia and DGS samples. | GALLIANO F., NERSESIAN A., BIANCHI S., et al. | ||
2022ApJS..259...43C | 18 | D | 1 | 6055 | 5 | Virgo Filaments. II. Catalog and First Results on the Effect of Filaments on Galaxy Properties. | CASTIGNANI G., VULCANI B., FINN R.A., et al. | ||
2022ApJS..261...21Y | 18 | D | 1 | 29961 | 6 | Statistical Analysis of H I Profile Asymmetry and Shape for Nearby Galaxies. | YU N., HO L.C., WANG J., et al. | ||
2023MNRAS.518.1022S | 19 | D | 1 | 363 | 2 | Identification of Grand-design and Flocculent spirals from SDSS using deep convolutional neural network. | SARKAR S., NARAYANAN G., BANERJEE A., et al. |