@article{de_albernaz_ferreira_impact_2017,
	title = {The {Impact} of {Redshift} on {Galaxy} {Morphometric} {Classification}: case studies for {SDSS}, {DES}, {LSST} and {HST} with {\textbackslash}textsc\{{Morfometryka}\}},
	volume = {1707},
	shorttitle = {The {Impact} of {Redshift} on {Galaxy} {Morphometric} {Classification}},
	url = {http://adsabs.harvard.edu/abs/2017arXiv170702863D},
	abstract = {We have carried a detailed analysis on the impact of cosmological 
redshift in the non-parametric approach to automated galaxy morphology
classification. We artificially redshifted each galaxy from the EFIGI
4458 sample (re-centered at \$z{\textbackslash}sim 0\$) simulating SDSS, DES, LSST, and
HST instruments setups over the range \$0 {\textless} z {\textless} 1.5\$. We then
traced how the morphometry is degraded in each \$z\$ using
{\textbackslash}textsc\{Morfometryka\}. In the process we re-sampled all catalog to
several resolutions and to a diverse SNR range, allowing us to
understand the impact of image sampling and noise on our measurements
separately. We summarize by exploring the impact of these effects on our
capacity to perform automated galaxy supervised morphological
classification by investigating the degradation of our classifier's
metrics as a function of redshift for each instrument. The overall
conclusion is that we can make reliable classification with
{\textbackslash}textsc\{Morfometryka\} for \$z{\textless} 0.2\$ with SDSS, for \$z{\textless}0.5\$ with
DES, for \$z{\textless}0.8\$ with LSST and for at least \$z {\textless} 1.5\$ with HST.},
	journal = {ArXiv e-prints},
	author = {de Albernaz Ferreira, Leonardo and Ferrari, Fabricio},
	month = jul,
	year = {2017},
	keywords = {Astrophysics - Astrophysics of Galaxies, Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics},
	pages = {arXiv:1707.02863},
}

{"_id":"2Lgi8JK79FLf5T97n","bibbaseid":"dealbernazferreira-ferrari-theimpactofredshiftongalaxymorphometricclassificationcasestudiesforsdssdeslsstandhstwithtextbackslashtextscmorfometryka-2017","author_short":["de Albernaz Ferreira, L.","Ferrari, F."],"bibdata":{"bibtype":"article","type":"article","title":"The Impact of Redshift on Galaxy Morphometric Classification: case studies for SDSS, DES, LSST and HST with \\textbackslashtextsc\\Morfometryka\\","volume":"1707","shorttitle":"The Impact of Redshift on Galaxy Morphometric Classification","url":"http://adsabs.harvard.edu/abs/2017arXiv170702863D","abstract":"We have carried a detailed analysis on the impact of cosmological redshift in the non-parametric approach to automated galaxy morphology classification. We artificially redshifted each galaxy from the EFIGI 4458 sample (re-centered at \\$z{\\textbackslash}sim 0\\$) simulating SDSS, DES, LSST, and HST instruments setups over the range \\$0 {\\textless} z {\\textless} 1.5\\$. We then traced how the morphometry is degraded in each \\$z\\$ using \\textbackslashtextsc\\Morfometryka\\. In the process we re-sampled all catalog to several resolutions and to a diverse SNR range, allowing us to understand the impact of image sampling and noise on our measurements separately. We summarize by exploring the impact of these effects on our capacity to perform automated galaxy supervised morphological classification by investigating the degradation of our classifier's metrics as a function of redshift for each instrument. The overall conclusion is that we can make reliable classification with \\textbackslashtextsc\\Morfometryka\\ for \\$z{\\textless} 0.2\\$ with SDSS, for \\$z{\\textless}0.5\\$ with DES, for \\$z{\\textless}0.8\\$ with LSST and for at least \\$z {\\textless} 1.5\\$ with HST.","journal":"ArXiv e-prints","author":[{"propositions":["de"],"lastnames":["Albernaz","Ferreira"],"firstnames":["Leonardo"],"suffixes":[]},{"propositions":[],"lastnames":["Ferrari"],"firstnames":["Fabricio"],"suffixes":[]}],"month":"July","year":"2017","keywords":"Astrophysics - Astrophysics of Galaxies, Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics","pages":"arXiv:1707.02863","bibtex":"@article{de_albernaz_ferreira_impact_2017,\n\ttitle = {The {Impact} of {Redshift} on {Galaxy} {Morphometric} {Classification}: case studies for {SDSS}, {DES}, {LSST} and {HST} with {\\textbackslash}textsc\\{{Morfometryka}\\}},\n\tvolume = {1707},\n\tshorttitle = {The {Impact} of {Redshift} on {Galaxy} {Morphometric} {Classification}},\n\turl = {http://adsabs.harvard.edu/abs/2017arXiv170702863D},\n\tabstract = {We have carried a detailed analysis on the impact of cosmological \nredshift in the non-parametric approach to automated galaxy morphology\nclassification. We artificially redshifted each galaxy from the EFIGI\n4458 sample (re-centered at \\$z{\\textbackslash}sim 0\\$) simulating SDSS, DES, LSST, and\nHST instruments setups over the range \\$0 {\\textless} z {\\textless} 1.5\\$. We then\ntraced how the morphometry is degraded in each \\$z\\$ using\n{\\textbackslash}textsc\\{Morfometryka\\}. In the process we re-sampled all catalog to\nseveral resolutions and to a diverse SNR range, allowing us to\nunderstand the impact of image sampling and noise on our measurements\nseparately. We summarize by exploring the impact of these effects on our\ncapacity to perform automated galaxy supervised morphological\nclassification by investigating the degradation of our classifier's\nmetrics as a function of redshift for each instrument. The overall\nconclusion is that we can make reliable classification with\n{\\textbackslash}textsc\\{Morfometryka\\} for \\$z{\\textless} 0.2\\$ with SDSS, for \\$z{\\textless}0.5\\$ with\nDES, for \\$z{\\textless}0.8\\$ with LSST and for at least \\$z {\\textless} 1.5\\$ with HST.},\n\tjournal = {ArXiv e-prints},\n\tauthor = {de Albernaz Ferreira, Leonardo and Ferrari, Fabricio},\n\tmonth = jul,\n\tyear = {2017},\n\tkeywords = {Astrophysics - Astrophysics of Galaxies, Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics},\n\tpages = {arXiv:1707.02863},\n}\n\n","author_short":["de Albernaz Ferreira, L.","Ferrari, F."],"key":"de_albernaz_ferreira_impact_2017","id":"de_albernaz_ferreira_impact_2017","bibbaseid":"dealbernazferreira-ferrari-theimpactofredshiftongalaxymorphometricclassificationcasestudiesforsdssdeslsstandhstwithtextbackslashtextscmorfometryka-2017","role":"author","urls":{"Paper":"http://adsabs.harvard.edu/abs/2017arXiv170702863D"},"keyword":["Astrophysics - Astrophysics of Galaxies","Astrophysics - Cosmology and Nongalactic Astrophysics","Astrophysics - Instrumentation and Methods for Astrophysics"],"metadata":{"authorlinks":{}}},"bibtype":"article","biburl":"https://bibbase.org/zotero/polyphant","dataSources":["7gvjSdWrEu7z5vjjj"],"keywords":["astrophysics - astrophysics of galaxies","astrophysics - cosmology and nongalactic astrophysics","astrophysics - instrumentation and methods for astrophysics"],"search_terms":["impact","redshift","galaxy","morphometric","classification","case","studies","sdss","des","lsst","hst","textbackslashtextsc","morfometryka","de albernaz ferreira","ferrari"],"title":"The Impact of Redshift on Galaxy Morphometric Classification: case studies for SDSS, DES, LSST and HST with \\textbackslashtextsc\\Morfometryka\\","year":2017}