publication . Article . Preprint . 2017

The impact of redshift on galaxy morphometric classification: case studies for SDSS, DES, LSST and HST with MORFOMETRYKA

Leonardo de Albernaz Ferreira; Fabricio Ferrari;
Open Access
  • Published: 07 Sep 2017 Journal: Monthly Notices of the Royal Astronomical Society, volume 473, pages 2,701-2,713 (issn: 0035-8711, eissn: 1365-2966, Copyright policy)
  • Publisher: Oxford University Press (OUP)
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-centred at $z \sim 0$) simulating SDSS, DES, LSST and HST instruments set-ups over the range $0 < z < 1.5$. We then traced how the morphometry is degraded in each $z$ using MORFOMETRYKA. In the process, we re-sampled all catalogues to several resolutions and to a diverse signal-to-noise 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 o...
Subjects
arXiv: Astrophysics::Cosmology and Extragalactic AstrophysicsAstrophysics::Galaxy Astrophysics
free text keywords: Astronomy, Image sampling, Physics, Galaxy, Astrophysics, Redshift survey, Redshift, Astrophysics - Astrophysics of Galaxies, Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics
51 references, page 1 of 4

Abraham R. G., Valdes F., Yee H. K. C., van den Bergh S., 1994, ApJ, 432, 75

Abraham R. G., Tanvir N. R., Santiago B. X., Ellis R. S., Glazebrook K., van den Bergh S., 1996, MNRAS, 279, L47

Aihara H., et al., 2011, ApJS, 193, 29

Astropy Collaboration et al., 2013, A&A, 558, A33

Baillard A., et al., 2011, A&A, 532, A74

Bamford S. P., et al., 2009, MNRAS, 393, 1324

Barden M., Jahnke K., H&#x7f;au ler B., 2008, ApJS, 175, 105

Blanton M. R., et al., 2003, AJ, 125, 2348

Calvi V., Stiavelli M., Bradley L., Pizzella A., Kim S., 2014, The Astrophysical Journal, 796, 102

Conselice C. J., 2003, ApJS, 147, 1

Conselice C. J., 2014, ARA&A, 52, 291

Conselice C. J., Bershady M. A., Jangren A., 2000, ApJ, 529, 886

Dark Energy Survey Collaboration et al., 2016, MNRAS,

Delgado-Serrano R., Hammer F., Yang Y. B., Puech M., Flores H., Rodrigues M., 2010, A&A, 509, A78

Disney M. J., Lang R. H., 2012, Monthly Notices of the Royal Astronomical Society, 426, 1731

51 references, page 1 of 4
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-centred at $z \sim 0$) simulating SDSS, DES, LSST and HST instruments set-ups over the range $0 < z < 1.5$. We then traced how the morphometry is degraded in each $z$ using MORFOMETRYKA. In the process, we re-sampled all catalogues to several resolutions and to a diverse signal-to-noise 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 o...
Subjects
arXiv: Astrophysics::Cosmology and Extragalactic AstrophysicsAstrophysics::Galaxy Astrophysics
free text keywords: Astronomy, Image sampling, Physics, Galaxy, Astrophysics, Redshift survey, Redshift, Astrophysics - Astrophysics of Galaxies, Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics
51 references, page 1 of 4

Abraham R. G., Valdes F., Yee H. K. C., van den Bergh S., 1994, ApJ, 432, 75

Abraham R. G., Tanvir N. R., Santiago B. X., Ellis R. S., Glazebrook K., van den Bergh S., 1996, MNRAS, 279, L47

Aihara H., et al., 2011, ApJS, 193, 29

Astropy Collaboration et al., 2013, A&A, 558, A33

Baillard A., et al., 2011, A&A, 532, A74

Bamford S. P., et al., 2009, MNRAS, 393, 1324

Barden M., Jahnke K., H&#x7f;au ler B., 2008, ApJS, 175, 105

Blanton M. R., et al., 2003, AJ, 125, 2348

Calvi V., Stiavelli M., Bradley L., Pizzella A., Kim S., 2014, The Astrophysical Journal, 796, 102

Conselice C. J., 2003, ApJS, 147, 1

Conselice C. J., 2014, ARA&A, 52, 291

Conselice C. J., Bershady M. A., Jangren A., 2000, ApJ, 529, 886

Dark Energy Survey Collaboration et al., 2016, MNRAS,

Delgado-Serrano R., Hammer F., Yang Y. B., Puech M., Flores H., Rodrigues M., 2010, A&A, 509, A78

Disney M. J., Lang R. H., 2012, Monthly Notices of the Royal Astronomical Society, 426, 1731

51 references, page 1 of 4
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publication . Article . Preprint . 2017

The impact of redshift on galaxy morphometric classification: case studies for SDSS, DES, LSST and HST with MORFOMETRYKA

Leonardo de Albernaz Ferreira; Fabricio Ferrari;