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| ESO 254-17 , the SIMBAD biblio (59 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.16CEST10:49:25 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
|
1985MAUTx...4....1C |
4985 | 15 | Southern Galaxy Catalogue. | CORWIN H.G., DE VAUCOULEURS A. and DE VAUCOULEURS G. | |||||
|
1989ESOLV.C......0L |
14 | D | 15448 | ~ | The surface photometry catalogue of the ESO-Uppsala galaxies. | LAUBERTS A. and VALENTIJN E.A. | |||
| 1998A&A...333...48P | 41 | 28 | New active galactic nuclei detected in ROSAT All Sky Survey galaxies. I. Verification of selection strategy. | PIETSCH W., BISCHOFF K., BOLLER T., et al. | |||||
|
1998PPMtO..17b...1Y |
368 | ~ | Properties of the ROSAT selected radio sources. I. The sample. | YUAN Q.-R., WU J.-H., YUAN W.-M., et al. | |||||
|
2003A&A...403..247F |
1217 | 54 | A systematic study of X-ray variability in the ROSAT all-sky survey. | FUHRMEISTER B. and SCHMITT J.H.M.M. | |||||
|
2003A&A...412...45P |
15 | D | 1 | 956189 | 750 | HYPERLEDA. I. Identification and designation of galaxies. | PATUREL G., PETIT C., PRUGNIEL P., et al. | ||
|
2006A&A...455..773V |
108223 | 628 | A catalogue of quasars and active nuclei: 12th edition. | VERON-CETTY M.-P. and VERON P. | |||||
|
2007ApJ...655..790C |
15 | D | 13811 | 196 | Groups of galaxies in the Two Micron All Sky redshift Survey. | CROOK A.C., HUCHRA J.P., MARTIMBEAU N., et al. | |||
| 2008A&A...484..897K | 15 | D | 3 | 217 | 6 | New active galactic nuclei detected in ROSAT All Sky Survey galaxies. II. The complete dataset. | KOLLATSCHNY W., KOTULLA R., PIETSCH W., et al. | ||
|
2009ApJS..184..138H |
15 | D | 1 | 20623 | 68 | XID II: statistical cross-association of ROSAT bright source catalog X-ray sources with 2MASS point source catalog near-infrared sources. | HAAKONSEN C.B. and RUTLEDGE R.E. | ||
|
2010MNRAS.401.1151M |
15 | D | 1 | 3443 | 20 | The RASS-6dFGS catalogue: a sample of X-ray selected AGN from the 6dF galaxy survey. | MAHONY E.K., CROOM S.M., BOYLE B.J., et al. | ||
|
2010A&A...518A..10V |
15 | D | 1 | 168913 | 597 | A catalogue of quasars and active nuclei: 13th edition. | VERON-CETTY M.-P. and VERON P. | ||
|
2011MNRAS.414.2528P |
15 | D | 1 | 412 | 32 | The LBA calibrator survey of southern compact extragalactic radio sources – LCS1. | PETROV L., PHILLIPS C., BERTARINI A., et al. | ||
|
2011MNRAS.417.2651M |
15 | D | 1 | 5893 | 47 | Optical properties of high-frequency radio sources from the Australia Telescope 20 GHz (AT20G) Survey. | MAHONY E.K., SADLER E.M., CROOM S.M., et al. | ||
|
2011MNRAS.416.2840L |
15 | D | 1 | 72558 | 178 | The 2M++ galaxy redshift catalogue. | LAVAUX G. and HUDSON M.J. | ||
|
2012ApJS..199...26H |
15 | D | 1 | 48926 | 517 | The 2MASS Redshift Survey - Description and data release. | HUCHRA J.P., MACRI L.M., MASTERS K.L., et al. | ||
|
2012MNRAS.422.1527M |
15 | D | 2 | 6426 | 22 | ATPMN: accurate positions and flux densities at 5 and 8 GHz for 8385 sources from the PMN survey. | McCONNELL D., SADLER E.M., MURPHY T., et al. | ||
|
2014MNRAS.440..696A |
15 | D | 1 | 233 | 53 | A search for HI absorption in nearby radio galaxies using HIPASS. | ALLISON J.R., SADLER E.M. and MEEKIN A.M. | ||
|
2015AJ....149..171T |
16 | D | 1 | 49219 | 119 | Galaxy groups: a 2MASS catalog. | TULLY R.B. | ||
|
2015ApJS..218...23A |
16 | D | 1 | 3140 | 1411 | Fermi Large Area Telescope third source catalog. | ACERO F., ACKERMANN M., AJELLO M., et al. | ||
|
2015ApJ...810...14A |
16 | D | 1 | 1890 | 513 | The third catalog of active galactic nuclei detected by the Fermi large area telescope. | ACKERMANN M., AJELLO M., ATWOOD W.B., et al. | ||
|
2016ApJ...820....8S |
16 | D | 1 | 3047 | 91 | Classification and ranking of Fermi LAT gamma-ray sources from the 3FGL catalog using machine learning techniques. | SAZ PARKINSON P.M., XU H., YU P.L.H., et al. | ||
|
2016A&A...588A..14T |
16 | D | 2 | 84079 | 35 | Friends-of-friends galaxy group finder with membership refinement. | TEMPEL E., KIPPER R., TAMM A., et al. | ||
|
2016ApJS..226...20F |
16 | D | 1 | 1394 | 122 | The spectral energy distributions of Fermi blazars. | FAN J.H., YANG J.H., LIU Y., et al. | ||
|
2016MNRAS.462.3180C |
16 | D | 1 | 576 | 21 | Blazar flaring patterns (B-FlaP) classifying blazar candidate of uncertain type in the third Fermi-LAT catalogue by artificial neural networks. | CHIARO G., SALVETTI D., LA MURA G., et al. | ||
|
2017A&A...602A..86L |
16 | D | 1 | 1082 | 1 | Research and characterisation of blazar candidates among the Fermi/LAT 3FGL catalogue using multivariate classifications. | LEFAUCHEUR J. and PITA S. | ||
|
2017ApJS..232...18A |
16 | D | 1584 | 263 | 3FHL: the Third Catalog of Hard Fermi-LAT Sources. | AJELLO M., ATWOOD W.B., BALDINI L., et al. | |||
|
2018ApJS..235...39C |
16 | D | 1 | 1395 | 63 | On the jet properties of γ-ray-loud active galactic nuclei. | CHEN L. | ||
|
2018MNRAS.476.2717H |
16 | D | 1 | 1285 | 1 | A novel approach for characterizing broad-band radio spectral energy distributions. | HARVEY V.M., FRANZEN T., MORGAN J., et al. | ||
|
2018ApJS..237...32A |
16 | D | 1 | 2605 | 130 | The search for spatial extension in high-latitude sources detected by the Fermi Large Area Telescope. | ACKERMANN M., AJELLO M., BALDINI L., et al. | ||
|
2018A&A...618A..81T |
16 | D | 1 | 50420 | 14 | Bayesian group finder based on marked point processes. Method and feasibility study using the 2MRS data set. | TEMPEL E., KRUUSE M., KIPPER R., et al. | ||
|
2018A&A...619A..23C |
16 | D | 1 | 1351 | ~ | A MST catalogue of γ-ray source candidates above 10 GeV and at Galactic latitudes higher than 20°. | CAMPANA R., MASSARO E. and BERNIERI E. | ||
|
2018RAA....18...56K |
16 | D | 1 | 1421 | 3 | On the intrinsic shape of the gamma-ray spectrum for Fermi blazars. | KANG S.-J., WU Q., ZHENG Y.-G., et al. | ||
|
2019MNRAS.485...88P |
16 | D | 1 | 1101 | 5 | The Second LBA Calibrator Survey of southern compact extragalactic radio sources - LCS2. | PETROV L., DE WITT A., SADLER E.M., et al. | ||
|
2019A&A...632A..77C |
16 | D | 1 | 2017 | 54 | The 3HSP catalogue of extreme and high-synchrotron peaked blazars. | CHANG Y.-L., ARSIOLI B., GIOMMI P., et al. | ||
|
2019MNRAS.490.4770K |
16 | D | 1 | 567 | ~ | Optimizing neural network techniques in classifying Fermi-LAT gamma-ray sources. | KOVACEVIC M., CHIARO G., CUTINI S., et al. | ||
|
2019ApJ...887..134K |
16 | D | 1 | 1314 | ~ | Evaluating the classification of Fermi BCUs from the 4FGL catalog using machine learning. | KANG S.-J., LI E., OU W., et al. | ||
|
2020MNRAS.493.1926K |
16 | D | 1 | 1330 | ~ | Classification of blazar candidates of uncertain type from the Fermi LAT 8-yr source catalogue with an artificial neural network. | KOVACEVIC M., CHIARO G., CUTINI S., et al. | ||
|
2020ApJS..247...33A |
16 | D | 1 | 5175 | 880 | Fermi Large Area Telescope fourth source catalog. | ABDOLLAHI S., ACERO F., ACKERMANN M., et al. | ||
|
2020ApJ...892..105A |
16 | D | 1 | 3421 | 235 | The fourth catalog of active galactic nuclei detected by the Fermi Large Area Telescope. | AJELLO M., ANGIONI R., AXELSSON M., et al. | ||
|
2020MNRAS.494..923C |
16 | D | 1 | 3612 | ~ | WISE mid-infrared properties of compact active galactic nuclei selected from the high radio frequency AT20G survey. | CHHETRI R., KIMBALL A., EKERS R.D., et al. | ||
|
2021MNRAS.503.2583S |
17 | D | 1 | 642 | 5 | A systematic survey for z< 0.04 CLAGNs. | SENARATH M.R., BROWN M.J.I., CLUVER M.E., et al. | ||
|
2021ApJ...913..120Z |
17 | D | 1 | 1126 | ~ | Cosmological evolution of Fermi Large Area Telescope gamma-ray blazars using novel nonparametric methods. | ZENG H., PETROSIAN V. and YI T. | ||
|
2021ApJ...914..121A |
17 | D | 1 | 43541 | 20 | The NANOGrav 11 yr data set: limits on supermassive black hole binaries in galaxies within 500 Mpc. | ARZOUMANIAN Z., BAKER P.T., BRAZIER A., et al. | ||
| 2021MNRAS.505.5853G | 17 | D | 2 | 5834 | ~ | Artificial Neural Network classification of 4FGL sources. | GERMANI S., TOSTI G., LUBRANO P., et al. | ||
|
2021A&A...655A..17S |
17 | D | 1 | 338578 | 3 | The SPECFIND V3.0 catalog of radio continuum cross-identifications and spectra: Reaching lower frequencies. | STEIN Y., VOLLMER B., BOCH T., et al. | ||
| 2022MNRAS.512..137N | 528 | D | X F | 12 | 27 | 7 | Hunting extreme BL Lacertae blazars with Fermi-Large Area Telescope. | NIEVAS ROSILLO M., DOMINGUEZ A., CHIARO G., et al. | |
|
2022A&A...660A..87B |
17 | D | 2 | 6191 | 10 | Machine learning methods for constructing probabilistic Fermi-LAT catalogs. | BHAT A. and MALYSHEV D. | ||
|
2022ApJS..260...53A |
17 | D | 1 | 6710 | 133 | Incremental Fermi Large Area Telescope Fourth Source Catalog. | ABDOLLAHI S., ACERO F., BALDINI L., et al. | ||
|
2022ApJ...935..170A |
17 | D | 1 | 44067 | 26 | Arrival Directions of Cosmic Rays above 32 EeV from Phase One of the Pierre Auger Observatory. | ABREU P., AGLIETTA M., ALBURY J.M., et al. | ||
|
2022ApJS..262...18Y |
17 | D | 1 | 2709 | 8 | The Spectral Energy Distributions for 4FGL Blazars. | YANG J.H., FAN J.H., LIU Y., et al. | ||
|
2022ApJS..263...24A |
17 | D | 1 | 3828 | 15 | The Fourth Catalog of Active Galactic Nuclei Detected by the Fermi Large Area Telescope: Data Release 3. | AJELLO M., BALDINI L., BALLET J., et al. | ||
|
2022ApJ...939..117Z |
17 | D | 3 | 282 | ~ | New Identifications and Multiwavelength Properties of Extragalactic Fermi Gamma-Ray Sources in the SPT-SZ Survey Field. | ZHANG L., VIEIRA J.D., AJELLO M., et al. | ||
| 2023MNRAS.523.4120D | 17 | D | 1 | 420 | ~ | Hybrid deep learning for blazar classification and correlation search with neutrinos. | DING J., HUANG Y., LI X.-D., et al. | ||
| 2023MNRAS.525.5795T | 61 | D | X | 2 | 40 | ~ | Revealing AGNs through TESS variability. | TREIBER H.P., HINKLE J.T., FAUSNAUGH M.M., et al. | |
|
2023ApJS..268...23F |
17 | D | 1 | 2708 | ~ | Characterizing the Emission Region Properties of Blazars. | FAN J., XIAO H., YANG W., et al. | ||
|
2023ApJS..269....3M |
17 | D | 1 | 356397 | ~ | Siena Galaxy Atlas 2020. | MOUSTAKAS J., LANG D., DEY A., et al. | ||
| 2025PASP..137f4105D | 19 | D | 1 | 290 | ~ | Improved Fermi Blazar Candidate Classifications with SRG/eROSITA X-Ray Counterparts Using Machine Learning. | DING J. and RODRIGUEZ A.C. | ||
|
2025A&A...700A.229L |
19 | D | 1 | 126 | ~ | Exploring the most extreme gamma-ray blazars using broadband spectral energy distributions. | LAINEZ M., NIEVAS-ROSILLO M., DOMINGUEZ A., et al. |