The introduction Goal: - Dust attenuation in starburst galaxies with different SFHs - Dust attenuation of “bulgy” and “disky” systems - Redshift dependence.

Slides:



Advertisements
Similar presentations
Color-magnitude relations of disk galaxies: observations vs. model predictions Ruixiang Chang ( Shanghai Astronomical Observatory ) Collaborators: Jinliang.
Advertisements

Elodie GIOVANNOLI Laboratoire d’Astrophysique de Marseille, FRANCE Advisor : Veronique BUAT Collaborators : Denis Burgarella, Stefan Noll Spectral energy.
Connecting Dense Gas Tracers of Star Formation in our Galaxy to High-z Star Formation Jingwen Wu & Neal J. Evans II (Univ. of Texas at Austin) ; Yu Gao.
X Y i M82 Blue: Chandra Red: Spitzer Green & Orange: Hubble Face-on i = 0 Edge-on i = 90 Absorption-line probes of the prevalence and properties of outflows.
Deep HST Imaging of M33: the Star Formation History
Quasar Clustering from SDSS DR7: Dependencies on FIRST Radio Magnitudes Andria C. Schwortz, Sarah Eftekharzadeh, Adam D. Myers, Yue Shen Clustering is.
Mariangela Bernardi UPitt/UPenn Galaxies Properties in the SDSS: Evolution, Environment and Mass Galaxies Properties in the SDSS: Evolution, Environment.
RESULTS AND ANALYSIS Mass determination Kauffmann et al. determined masses using SDSS spectra (Hdelta & D4000) Comparison with our determination: Relative.
Star-Formation in Close Pairs Selected from the Sloan Digital Sky Survey Overview The effect of galaxy interactions on star formation has been investigated.
Gamma-ray Bursts in Starburst Galaxies Introduction: At least some long duration GRBs are caused by exploding stars, which could be reflected by colours.
September 6— Starburst 2004 at the Institute of Astronomy, Cambridge Constraints on Lyman continuum flux escaping from galaxies at z~3 using VLT.
DETERMINING THE DUST EXTINCTION OF GAMMA-RAY BURST HOST GALAXIES: A DIRECT METHOD BASED ON OPTICAL AND X-RAY PHOTOMETRY Li Yuan 黎原 Purple Mountain Observatory.
SFR and COSMOS Bahram Mobasher + the COSMOS Team.
Fourier Analysis Fourier analysis is an important part to analyzing scientific data from RRab light curves. It is a mathematical process by which a curve.
“ Testing the predictive power of semi-analytic models using the Sloan Digital Sky Survey” Juan Esteban González Birmingham, 24/06/08 Collaborators: Cedric.
Lisa Kewley (CfA) Margaret Geller (CfA) Rolf Jansen (ASU) Mike Dopita (RSAA)
Galaxies With a touch of cosmology. Types of Galaxies Spiral Elliptical Irregular.
15.3 Galaxy Evolution Our Goals for Learning How do we observe the life histories of galaxies? How did galaxies form? Why do galaxies differ?
New Insight Into the Dust Content of Galaxies Based on the Analysis of the Optical Attenuation Curve.
Escape Fraction from Early Galaxies Elizabeth Fernandez University of Colorado, Boulder.
Environmental Properties of a Sample of Starburst Galaxies Selected from the 2dFGRS Matt Owers (UNSW) Warrick Couch (UNSW) Chris Blake (UBC) Michael Pracy.
Evolutionary Population Synthesis models Divakara Mayya INAOEhttp:// Advanced Lectures on Galaxies (2008 INAOE): Chapter 4.
Obscured AGN in the (z)COSMOS survey AGN9, Ferrara, May Angela Bongiorno Max-Planck-Institut für extraterrestrische Physik, Garching, GERMANY AND.
Renzini Ringberg The cosmic star formation rate from the FDF and the Goods-S Fields R.P. Saglia – MPE reporting work of/with R. Bender, N.
The Evolution of Quasars and Massive Black Holes “Quasar Hosts and the Black Hole-Spheroid Connection”: Dunlop 2004 “The Evolution of Quasars”: Osmer 2004.
Properties of Barred Galaxies in SDSS DR7 - OPEN KIAS SUMMER INSTITUTE - Gwang-Ho Lee, Changbom Park, Myung Gyoon Lee & Yun-Young Choi 0. Abstract We investigate.
RADIO OBSERVATIONS IN VVDS FIELD : PAST - PRESENT - FUTURE P.Ciliegi(OABo), Marco Bondi (IRA) G. Zamorani(OABo), S. Bardelli (OABo) + VVDS-VLA collaboration.
Galaxies (And a bit about distances). This image shows galaxy M 100 in which the Hubble Space Telescope detected Cepheid variables.
The Fe II lines in AGN spectra Jelena Kovačević 1, Luka Č. Popović 1 and Milan S. Dimitrijević 1 1 Astronomical Observatory Volgina 7, Belgrade,
Martin et al. Goal-determine the evolution of the IRX and extinction and relate to evolution of star formation rate as a function of stellar mass.
Jelena Kovačević 1, Luka Č. Popović 1, Milan S. Dimitrijević 1, Payaswini Saikia 1 1 Astronomical Observatory Belgrade, Serbia.
Scaling Relations in HI Selected Star-Forming Galaxies Gerhardt R. Meurer The Johns Hopkins University Gerhardt R. Meurer The Johns Hopkins University.
Modeling the dependence of galaxy clustering on stellar mass and SEDs Lan Wang Collaborators: Guinevere Kauffmann (MPA) Cheng Li (MPA/SHAO, USTC) Gabriella.
Luminosity Functions from the 6dFGS Heath Jones ANU/AAO.
FRENEL Meeting, Nice, September 2009 FRESNEL Imager: Extragalactic Science in the UV-Optical domains Roser Pelló Laboratoire d’Astrophysique de Toulouse-Tarbes.
The star formation history of the local universe A/Prof. Andrew Hopkins (AAO) Prof. Joss Bland-Hawthorn (USyd.) & the GAMA Collaboration Madusha L.P. Gunawardhana.
1 Galaxy Evolution in the SDSS Low-z Survey Huan Lin Experimental Astrophysics Group Fermilab.
Astronomy 404/CSI 769 Extragalactic Astronomy
Galactic structure and star counts Du cuihua BATC meeting, NAOC.
The Conspiracy That the dark matter conspire to just make the rotation curves nearly flat Bottom line: M/L 40 M O /L O from these “flat rotation curves”..
AST101 Lecture 20 The Parts of the Galaxy. Shape of the Galaxy.
A multi-band view on the evolution of starburst merging galaxies A multi-band view on the evolution of starburst merging galaxies Yiping Wang (王益萍) Purple.
Vince Oliver PhD student of ELTE University Budapest  Assignments within MAGPOP project.
Stellar Population Mass Estimates Roelof de Jong (STScI AIP) Eric Bell (MPIA Univ. of Michigan)
Neutral hydrogen in the Galaxy. HII regions Orion nebula Triangulum nebula.
AGN Demographics Christine Black 3/1/12
The dependence on redshift of quasar black hole masses from the SLOAN survey R. Decarli Università dell’Insubria, Como, Italy A. Treves Università dell’Insubria,
Obscured Star Formation in Small Galaxies out to z
X-ray selected Type-2 QSOs and their host galaxies Vincenzo Mainieri with A. Bongiorno, A. Merloni, M. Bolzonella, M. Brusa, M. Carollo, G. Hasinger, K.
Multiwavelength Properties of the SDSS Galaxies in Various Classes Feb 19, 2008 Joon Hyeop Lee 1, Myung Gyoon Lee 1, Changbom Park 2, Yun-Young Choi 2.
Big Bang f(HI) ~ 0 f(HI) ~ 1 f(HI) ~ History of Baryons (mostly hydrogen) Redshift Recombination Reionization z = 1000 (0.4Myr) z = 0 (13.6Gyr) z.
AGN Origin of [O II] in Red Galaxies --- Implications for post-starburst galaxy studies (1) University of California, Berkeley (2) Lawrence Berkeley Laboratory.
AST101 Lecture 20 Our Galaxy Dissected. Shape of the Galaxy.
Competitive Science with the WHT for Nearby Unresolved Galaxies Reynier Peletier Kapteyn Astronomical Institute Groningen.
Color Magnitude Diagram VG. So we want a color magnitude diagram for AGN so that by looking at the color of an AGN we can get its luminosity –But AGN.
Evolution of Rest-frame Luminosity Density to z=2 in the GOODS-S Field Tomas Dahlen, Bahram Mobasher, Rachel Somerville, Lexi Moustakas Mark Dickinson,
Selection and Photometric Properties of K+A Galaxies Alejandro D. Quintero, David W. Hogg, Michael R. Blanton (NYU), et al.
The estimation of black-hole masses in distant radio galaxies M. L. Khabibullina Kazan (Volga region) Federal University.
The Mid-Infrared Luminosities of Normal Galaxies over Cosmic Time (discussion of arXiv: ) Urtzi Jauregi Astro debata,
Spectral classification of galaxies of LAMOST DR3
Photometric redshift estimation.
Title: 30.1 Galaxies and The Universe
The dust attenuation in the galaxy merger Mrk848
Peculiar Extinction Laws observed for Type Ia Supernovae
On the
Modeling the dependence of galaxy clustering on stellar mass and SEDs
What do we want to learn, and why?
SDSS-IV MaNGA: The Spatial Distribution of Star Formation and its Dependence on Mass, Structure and Environment (arXiv: v1) 胡 宁
Metallicity Evolution of Active Galactic Nuclei
Validity of abundances derived from spaxel spectra of the MaNGA survey
Presentation transcript:

The introduction Goal: - Dust attenuation in starburst galaxies with different SFHs - Dust attenuation of “bulgy” and “disky” systems - Redshift dependence of the dust attenuation Data & Sample: - SDSS photometric data (u, g, r, i, and z) - Only starbursts - Only face-on galaxies - Volume limited sample to study the redshift-dependence Method: - Flux density ratio method (e.g. Calzetti, 1997) Using photometric data from the SDSS database, the dust attenuation of starburst galaxies with different star formation histories (SFHs) is calculated. The BPT diagram is used to select starburst galaxies and to exclude galaxies with active galactic nuclei (AGNs) from the sample. The r-band isophotal axial ratio is used to select face-on galaxies in order to exclude the complicated inclination-dependent attenuation. Due to different attenuation of the galaxy bulge and disk, the sample is additionally divided according to fracDev, the standard SDSS parameter which roughly describes the galaxy bulginess. In order to study the dust attenuation in galaxies with SFHs, the sample is divided into groups according to Dn4000 and H  A spectral indices. The sample is volume limited to r-band absolute magnitude Mr = -21 in the redshift range from 0.01<z<0,2. It is therefore redshift-binned in this volume in order to study the redshift-dependence of the dust attenuation. Evolution of the dust attenuation in starburst galaxies Vince Oliver: Astronomical observatory of Belgrade, Volgina 7, Belgrade, Serbia The sample I -only face-on galaxies with log(a/b) < 0.2 -only starburst galaxies BPT diagram SN in [OIII], [NII], H , and H  emission lines > 3 Kauffmann’s demarcation line -define 2 samples: bulgy (fracDev > 0.5) and disky (fracDev < 0.5) -Dn4000 and H  A used to select galaxies with different SFHs The method Flux ratios method (e.g. Calzetti, 1997): step1: F( )/F(z) versus E(B-V) H  /H  (upper panel) step2: linear fit (upper panel) step3: derive selective attenuation step4: k( )-k(z) versus (lower panel) step5: fit power law (lower panel) The results & conclusions II -the slopes of the attenuation curves change with redshift => the dust geometry evolves with time -the slope has a maximum at z ~ 0.9 for almost all SFH groups -the slope of the ”oldest” galaxies decrease with redshift The sample II - only face-on galaxies with log(a/b) < only starburst galaxies BPT diagram SN in [OIII], [NII], H , and H  emission lines > 3 Kauffmann’s demarcation line - define a volume limited sample (0<z<0.15 & M < -20.5) - define 2 samples: bulgy (fracDev > 0.5) and disky (fracDev < 0.5) - Dn4000 and H  A used to select galaxies with different SFHs - redshift cuts: z 0.11 The results & conclusions I - the slope of the att. curves decrease with Dn4000 => old and young stars are more uniformly covered by dust in younger galaxies - the slope of the att. curves is smaller for “bulgy” systems at all Dn4000 => the presence of bulge shallows the slope at all mean galaxy ages