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One important approach to understanding the significance of these different processes on galaxy evolution is the study of the stellar population content of today's galaxies in a spatially resolved manner. The aim of this paper is to characterize in detail the radial structure of stellar population properties of galaxies in the nearby universe, based on a uniquely large galaxy sample, considering the quality and coverage of the data. The sample under study was drawn from the CALIFA survey and contains 300 galaxies observed with integral field spectroscopy. These cover a wide range of Hubble types, from spheroids to spiral galaxies, while stellar masses range from M 10 9 to 7 10 11 M . We apply the fossil record method based on spectral synthesis techniques to recover the following physical properties for each spatial resolution element in our target galaxies: the stellar mass surface density ( ), stellar extinction (A V ), light-weighted and mass-weighted ages ( log age L , log age M ), and mass-weighted metallicity ( log Z M ).","publishedDate","2015-07-16","publishedYear",2015,"venue","Astronomy and Astrophysics",306,"authors","keywords",[199,200,201],"pdfUrl","http://hdl.handle.net/10486/671065","topVenue",true,"Galaxies: Formation, Evolution, Phenomena","Advanced Image Processing Techniques","Advanced Vision and Imaging","paper_W4292310804","The population of barred galaxies in the local universe","{\"openalex\":\"W4292310804\",\"doi\":\"10.1051/0004-6361:200810931\"}","2026-05-20T18:40:27.404027334","2026-05-20T18:42:41.184465167","10.1051/0004-6361:200810931","W4292310804","Context. Bars are very common in the centre of the disc galaxies, and they drive the evolution of their structure. The state-of-the-art imaging and redshift surveys of galaxies allow us to study the relationships between the properties of the bars and those of their hosts in statistically significant samples.Aims. A volume-limited sample of 2106 disc galaxies was studied to derive the bar fraction, length, and strength as a function of the morphology, size, local galaxy density, light concentration, and colour of the host galaxy. The sample galaxies were selected to not be strongly disturbed/interacting.Methods. The bar and galaxy properties were obtained by analysing the r-band images of the sample galaxies available in the Sloan Digital Sky Survey Data Release 5.Results. The bars were detected using the ellipse fitting method and Fourier analysis method. They were tested and calibrated with extensive simulations on artificial images. The ellipse fitting method was found to be more efficient in detecting bars in spiral galaxies. The fraction of barred galaxies turned out to be . A bar was found in of the lenticular galaxies, in and of the early- and late-type spirals, respectively. The bar length (normalised by the galaxy size) of late-type spirals is shorter than in early-type or lenticular ones. A correlation between the bar length and galaxy size was found with longer bars hosted by larger galaxies. The bars of the lenticular galaxies are weaker than those in spirals. Moreover, the unimodal distribution of the bar strength found for all the galaxy types argues against a quick transition between the barred and unbarred statues. There is no difference between the local galaxy density of barred and unbarred galaxies. Besides, neither the length nor strength of the bars are correlated with the local density of the galaxy neighbourhoods. In contrast, a statistical significant difference between the central light concentration and colour of barred and unbarred galaxies was found. Bars are mostly located in less concentrated and bluer galaxies.Conclusions. These results indicate that the properties of bars are strongly related to those of their host galaxies, but do not depend on the local environment.","2009-01-14",2009,320,[199,215,201],"https://www.aanda.org/articles/aa/pdf/2009/08/aa10931-08.pdf","Remote Sensing in Agriculture",{"_58":217,"_60":218},[],[219],{"_63":220,"_65":221,"_67":222,"_69":223},1785951225600,{"_72":225,"_74":75,"_76":220,"_77":-5,"_78":79,"_80":79,"_81":79,"_82":-5,"_83":-5,"_84":85,"_33":86,"_87":88},[71,224],"[\"portal\",\"industries\"]","industries",[226,227,228,229,230,231,232,233,234,235,236,237],{"_15":298,"_27":299,"_29":-5,"_30":300,"_31":301,"_32":-5,"_33":34,"_35":-5,"_37":-5,"_38":241,"_40":-5,"_42":-5,"_242":243,"_244":-5,"_245":75,"_246":247,"_248":302,"_250":79,"_251":85,"_252":79,"_253":-5,"_56":299,"_57":301},{"_15":294,"_27":295,"_29":-5,"_30":-5,"_31":296,"_32":-5,"_33":34,"_35":-5,"_37":-5,"_38":241,"_40":-5,"_42":-5,"_242":243,"_244":-5,"_245":75,"_246":247,"_248":297,"_250":79,"_251":85,"_252":79,"_253":-5,"_56":295,"_57":296},{"_15":288,"_27":289,"_29":-5,"_30":290,"_31":291,"_32":-5,"_33":34,"_35":-5,"_37":-5,"_38":241,"_40":-5,"_42":-5,"_242":243,"_244":-5,"_245":75,"_246":247,"_248":292,"_250":79,"_251":85,"_252":79,"_253":-5,"_56":289,"_57":291},{"_15":284,"_27":285,"_29":-5,"_30":-5,"_31":286,"_32":-5,"_33":34,"_35":-5,"_37":-5,"_38":241,"_40":-5,"_42":-5,"_242":243,"_244":-5,"_245":75,"_246":247,"_248":287,"_250":79,"_251":85,"_252":79,"_253":-5,"_56":285,"_57":286},{"_15":280,"_27":281,"_29":-5,"_30":-5,"_31":282,"_32":-5,"_33":34,"_35":-5,"_37":-5,"_38":241,"_40":-5,"_42":-5,"_242":243,"_244":-5,"_245":75,"_246":247,"_248":283,"_250":79,"_251":85,"_252":79,"_253":-5,"_56":281,"_57":282},{"_15":274,"_27":275,"_29":-5,"_30":276,"_31":277,"_32":-5,"_33":34,"_35":-5,"_37":-5,"_38":241,"_40":-5,"_42":-5,"_242":243,"_244":-5,"_245":75,"_246":247,"_248":278,"_250":79,"_251":85,"_252":79,"_253":-5,"_56":275,"_57":277},{"_15":270,"_27":271,"_29":-5,"_30":-5,"_31":272,"_32":-5,"_33":34,"_35":-5,"_37":-5,"_38":241,"_40":-5,"_42":-5,"_242":243,"_244":-5,"_245":75,"_246":247,"_248":273,"_250":79,"_251":198,"_252":79,"_253":-5,"_56":271,"_57":272},{"_15":266,"_27":267,"_29":-5,"_30":-5,"_31":268,"_32":-5,"_33":34,"_35":-5,"_37":-5,"_38":241,"_40":-5,"_42":-5,"_242":243,"_244":-5,"_245":75,"_246":247,"_248":269,"_250":79,"_251":85,"_252":79,"_253":-5,"_56":267,"_57":268},{"_15":262,"_27":263,"_29":-5,"_30":-5,"_31":264,"_32":-5,"_33":34,"_35":-5,"_37":-5,"_38":241,"_40":-5,"_42":-5,"_242":243,"_244":-5,"_245":75,"_246":247,"_248":265,"_250":79,"_251":85,"_252":79,"_253":-5,"_56":263,"_57":264},{"_15":258,"_27":259,"_29":-5,"_30":-5,"_31":260,"_32":-5,"_33":34,"_35":-5,"_37":-5,"_38":241,"_40":-5,"_42":-5,"_242":243,"_244":-5,"_245":75,"_246":247,"_248":261,"_250":79,"_251":85,"_252":79,"_253":-5,"_56":259,"_57":260},{"_15":254,"_27":255,"_29":-5,"_30":-5,"_31":256,"_32":-5,"_33":34,"_35":-5,"_37":-5,"_38":241,"_40":-5,"_42":-5,"_242":243,"_244":-5,"_245":75,"_246":247,"_248":257,"_250":79,"_251":85,"_252":79,"_253":-5,"_56":255,"_57":256},{"_15":238,"_27":239,"_29":-5,"_30":-5,"_31":240,"_32":-5,"_33":34,"_35":-5,"_37":-5,"_38":241,"_40":-5,"_42":-5,"_242":243,"_244":-5,"_245":75,"_246":247,"_248":249,"_250":79,"_251":85,"_252":79,"_253":-5,"_56":239,"_57":240},"tax_ind_smartphone","智能手机","Smartphone","manual","taxonomyType","INDUSTRY","code","level","parentId","tax_ind_root","path","科技行业/智能手机","sortOrder","isLeaf","entityCount","children","tax_ind_robot","机器人","Robotics","科技行业/机器人","tax_ind_wearable","智能穿戴","Smart Wearables","科技行业/智能穿戴","tax_ind_energy","新能源与智能制造","New Energy & Smart Manufacturing","科技行业/新能源与智能制造","tax_ind_biotech","生物科技","Biotech","科技行业/生物科技","tax_ind_quantum","量子计算","Quantum Computing","科技行业/量子计算","tax_ind_blockchain","区块链",[279],"Blockchain","科技行业/区块链","Web3","tax_ind_enterprise","企业软件","Enterprise Software","科技行业/企业软件","tax_ind_security","网络安全","Cybersecurity","科技行业/网络安全","tax_ind_semi","半导体",[293],"Semiconductor","科技行业/半导体","芯片","tax_ind_cloud","云计算","Cloud Computing","科技行业/云计算","tax_ind_ai","人工智能",[303,304],"Artificial Intelligence","科技行业/人工智能","AI","AI 技术","env",{"_307":23},"SITE_BASE_URL"]

J. Méndez‐Abreu 人物

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