MCXC J0340.1-1835 , the SIMBAD biblio

MCXC J0340.1-1835 , the SIMBAD biblio (10 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.18CEST01:58:00

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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
2004A&A...425..367B viz 15       D               1 461 528 The ROSAT-ESO Flux Limited X-ray (REFLEX) Galaxy cluster survey. V. The cluster catalogue. BOEHRINGER H., SCHUECKER P., GUZZO L., et al.
2007MNRAS.379..260M viz 15       D               154 28 The interplay between radio galaxies and cluster environment. MAGLIOCCHETTI M. and BRUGGEN M.
2011A&A...534A.109P viz 15       D               1 1770 422 The MCXC: a meta-catalogue of X-ray detected clusters of galaxies. PIFFARETTI R., ARNAUD M., PRATT G.W., et al.
2012MNRAS.425..477N viz 15       D               1 1762 27 γ-rays from annihilating dark matter in galaxy clusters: stacking versus single source analysis. NEZRI E., WHITE R., COMBET C., et al.
2017MNRAS.468.3322S viz 16       D               1 28164 37 CoMaLit - V. Mass forecasting with proxies: method and application to weak lensing calibrated samples. SERENO M. and ETTORI S.
2021ApJS..252...18T viz 132           X         3 7 53 Shadows in the Dark: low-surface-brightness galaxies discovered in the Dark Energy Survey. TANOGLIDIS D., DRLICA-WAGNER A., WEI K., et al.
2022A&A...658A..59X viz 17       D               1 852 3 Catalog of X-ray-selected extended galaxy clusters from the ROSAT All-Sky Survey (RXGCC). XU W., RAMOS-CEJA M.E., PACAUD F., et al.
2022MNRAS.516.1781Z 102       D       C       3 23 1 HIPASS study of southern ultradiffuse galaxies and low surface brightness galaxies. ZHOU Y.-F., SENGUPTA C., CHANDOLA Y., et al.
2024ApJ...975..244B 45           X         1 27 ~ Environmental Quenching of Low-surface-brightness Galaxies Near Hosts from Large Magellanic Cloud to Milky Way Mass Scales. BHATTACHARYYA J., PETER A.H.G., MARTINI P., et al.
2026A&A...706A..35S viz 150           X C       2 2 ~ Searching for ultra-diffuse galaxies in the Dark Energy Survey using an object-detection algorithm. SU Y., YI Z., LI S., et al.

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