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Photometry of Galaxies in the Era of the Wide-Field Camera

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Photometry of Galaxies in the Era of the Wide-Field Camera Photometry of Galaxies in the era of the wide-field camera Enrichetta Iodice INAF- Astronomical Observatory of Capodimonte Napoli, Italy VST color composite image of NGC1316 Lectures’ outline why study the low-surface brightness universe ? main progresses from theoretical & observational sides task & tools to manage deep and wide-field images: photometry of galaxies observations vs theoretical predictions future perspectives Lectures’ outline lecture 1 why study the low-surface brightness universe ? main progresses from theoretical & observational sides task & tools to manage deep and wide-field images: photometry of galaxies observations vs theoretical predictions future perspectives Lectures’ outline lecture 1 why study the low-surface brightness universe ? main progresses from theoretical & observational sides task & tools to manage deep and wide-field images: photometry of galaxies observations vs theoretical predictions future perspectives lecture 2 Why study the low-surface brightness universe? LCDM galaxy formation theories predict that galaxies grow through a combination of in situ star formation and accretion of stars from other galaxies … Pillepich et al. 2018 Intra-cluster light from TNG100 simulations Intra-cluster light from TNG100 simulations Intra-cluster light from TNG100 simulations Intra-cluster light from TNG100 simulations Intra-cluster light from TNG100 simulations Why study the low-surface brightness universe? Since dynamical timescales are long in the galaxy outskirts, phase-space substructures related to accretion (streams, tails, etc.) can persist over many Gyrs The structural properties of the outer parts of galaxies and their correlations with stellar mass and other observables might therefore provide ways of testing theoretical predictions of mass assembly Why deep images? Mancillas et al. 2019 2 2 �g ~ 33 mag/arcsec �g ~ 29 mag/arcsec Why wide-field images? Mancillas et al. 2019 stellar halo extends 50 - 100 kpc ICL extends > 100 kpc Why wide-field images? Mancillas et al. 2019 stellar halo extends 50 - 100 kpc ICL extends > 100 kpc this is particularly important for nearby clusters…… DSS image of the Fornax cluster DSS image of the Fornax cluster FOV@ ESO 1.5m Tel 148 x 237 arcsec DSS image of the Fornax cluster FOV@ ESO 1.5m Tel 148 x 237 arcsec DSS image of the Fornax cluster FOV@ ESO 1.5m Tel 148 x 237 arcsec 20 arcmin ~115 kpc DSS image of the Fornax cluster FOV@ ESO 1.5m Tel 148 x 237 arcsec 33 arcmin ~195 kpc 20 arcmin ~115 kpc Iodice et al. 2016 The era of deep imaging surveys In the latest 10 years advances in telescopes technology & instrumentations & data analysis allow to map the regions of the stellar halos & ICL 2 LSB optimised small telescope and telescope arrays: �g ~ 29.5 mag/arcsec Burrell Schmidt (Mihos et al. 2017), Dragonfly image array (Abraham & van Dokkum 2014; Merritt et al. 2016) 2 using 3m-class telescope: �g ~ 28.5 - 29 mag/arcsec NGVS@CFHT (Ferrarese et al. 2012); ATLAS3D@CFHT (Duc et al. 2015); CFHT Legacy Survey (Gwyn 2012); FDS&VEGAS@VST (Iodice et al. 2019) 2 using 4m-8m class telescope (wider area): �r ~ 27.5 - 28.5 mag/arcsec DECam@CTIO (Dey et al. 2019); Hyper Suprime-Cam Subaru Strategic Program@Subaru (Aihara et al. 2018) 2 using 10m GTC telescope (FOV=5’): �r ~ 31.5 mag/arcsec (Trujillo & Fliri 2016) using HST: � ~ 31 mag/arcsec2 (ICL in Hubble Frontiers Fields by Montes & Trujillo 2018) Theory Observations explain why natural Set of observables of phenomena natural phenomena occurs Studying the mass assembly: Observations vs theoretical predictions Theory Observations explain why natural make hypothesis Set of observables of to reproduce natural phenomena phenomena observables occurs Studying the mass assembly: Observations vs theoretical predictions Theory Observations explain why natural make hypothesis Set of observables of to reproduce natural phenomena phenomena observables occurs Studying the mass assembly: Observations vs theoretical predictions It’s a tricky task! Theoretical predictions stellar halo morphology SB profile shape & color gradients accreted mass fraction in galaxies ICL properties kinematics & stellar population in stellar halos Theoretical predictions stellar halo morphology SB profile shape & color gradients deep accreted mass fraction in galaxies imaging ICL properties kinematics & stellar population in stellar halos Theoretical predictions stellar halo morphology SB profile shape & color gradients deep accreted mass fraction in galaxies imaging ICL properties kinematics & stellar population in stellar halos spectroscopy Theoretical predictions: stellar halo morphology Mancillas et al. 2019 Tidal tails: result from tidal forces acting within the host galaxy, by intermediate-mass merger and major merger events (mass ratios ~ 7:1 and 3:1) Theoretical predictions: stellar halo morphology Mancillas et al. 2019 Tidal tails: result from tidal forces acting within the host galaxy, by intermediate-mass merger and major merger events (mass ratios ~ 7:1 and 3:1) Theoretical predictions: stellar halo morphology Mancillas et al. 2019 Stellar streams in the first series of consecutive minor mergers (mass ratios larger than 7:1) Theoretical predictions: stellar halo morphology Mancillas et al. 2019 Stellar streams in the first series of consecutive minor mergers (mass ratios larger than 7:1) Theoretical predictions: stellar halo morphology Mancillas et al. 2019 Shells shell formation is associated with both intermediate-mass mergers and major mergers (mass ratios ~ 7:1 and 3:1) Theoretical predictions: stellar halo morphology Method: To date, the LSB features in the galaxy outskirts are done by visual inspection Theoretical predictions: stellar halo morphology Method: To date, the LSB features in the galaxy outskirts are done by visual inspection Let’s do an interactive exercise LEDA087331 HCC020 LEDA087331 which kind of features? shells ? tidal tails ? streams ? HCC020 LEDA087331 which kind of features? ✔ shells ? X tidal tails ? X streams ? HCC020 ABELL 1060: 340 ABELL 1060: 341 ABELL 1060: 340 which kind of features? shells ? tidal tails ? streams ? ABELL 1060: 341 ABELL 1060: 340 which kind of features? ✔ shells ? ✔ tidal tails ? X streams ? ABELL 1060: 341 NGC3316 NGC3316 which kind of features? NGC3316 shells ? tidal tails ? streams ? which kind of features? NGC3316 ✔ shells ? ✔ tidal tails ? X streams ? PGC031447 PGC031447 which kind of features? shells ? tidal tails ? streams ? PGC031447 which kind of features? X shells ? ✔ tidal tails ? X streams ? ???? ???? Ultra???? diffuse galaxy ???? Theoretical predictions: SB profiles Cooper et al. (2013) The global stellar halo density profile depends on the accretion history of the galaxy Theoretical predictions: SB profiles Cooper et al. (2013) Thein situ global & relaxed stellar accreted halo density density profiles profile are well depends reproduced on by the a Sersic r1/n law n~2 for the inaccretion situ component history of the galaxy unrelaxed envelope ~ exponential decline Theoretical predictions: stellar populations in the galaxy outskirts Cook et al. (2016) stellar population gradients at large radii can be used to infer basic properties of galactic accretion histories Theoretical predictions: stellar populations in the galaxy outskirts Cook et al. (2016) At fixed mass, galaxies that accreted little of their stellar halo material tend to have steeper metallicity and SB profiles (Re~2–4 ) stellar population gradients at large radii can be used to Metallicity and SB profiles in the stellar halo typically flatten from z=1 toinfer the present basic —> properties accretion of of stars galactic into the accretion stellar halo histories Theoretical predictions: total accreted mass fraction Pillepich et al. (2018) Massive galaxies: 12 15 10 - 10 M⦿ Theoretical predictions: total accreted mass fraction Pillepich et al. (2018) facc ~ 80-100 % for R> 100 kpc! Massive galaxies: 12 15 10 - 10 M⦿ Theoretical predictions: total accreted mass fraction Pillepich et al. (2018) Tacchella et al. (2019) facc ~ 80-100 % for R> 100 kpc! Less massive galaxies: 9 11 10 - 10 M⦿ Massive galaxies: 12 15 10 - 10 M⦿ Theoretical predictions: total accreted mass fraction Pillepich et al. (2018) Tacchella et al. (2019) facc ~ 80-100 % for R> 100 kpc! Less massive galaxies: 9 11 facc strongly depends10 on- 10 Mstar M ⦿ 10.5 facc ~ 0 at Mstar ~ 10 M⊙ Massive galaxies: 11.5 facc ~ 0.7 when Mstar ~ 10 M⊙ 12 15 10 - 10 M⦿ Theoretical predictions: ICL formation & properties ICL forms by stellar stripping of satellites galaxies relaxation processes during galaxy mergers Theoretical predictions: ICL formation & properties Contini et al. (2014) The predicted fICL in groups and clusters ~ 10 - 40 % Theoretical predictions: ICL formation & properties Contini et al. (2014) The predicted fICL in groups and clusters ~ 10 - 40 % Theoretical predictions: ICL formation & properties Contini et al. (2014) The predicted f in groups ICL ICL formed very late z≾1 and clusters ~ 10 - 40 % Theoretical predictions: ICL formation & properties Contini et al. (2014) The predicted fICL correlates with the BCG stellar mass, depending on the ICL formation process In summary: To trace the mass accretion at all scales, i.e. in galaxies & clusters, from observations: which are the requirements of the real data? In summary: To trace the mass accretion at all scales, i.e. in galaxies & clusters, from observations: which are the requirements of the real data? 2 deep (�g ~ 27-33 mag/arcsec ) multi-band imaging large covered area (several square degrees) arcsec-level angular
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