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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 Mountain Observatory, China National Astronomical Observatories of China. In 70 ’ s, a few very luminous infrared galaxies were observed.

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A multi-band view on the evolution of starburst merging galaxies

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  1. A multi-band view on the evolution of starburst merging galaxies Yiping Wang (王益萍) Purple Mountain Observatory, China National Astronomical Observatories of China

  2. In 70’s, a few very luminous infrared galaxies were observed In 80’s, IRAS satellite gave for the first time a proper census of the infrared emission of galaxies (up to Lir ~10^12 Lsun) at low redshift.

  3. Emission properties of infrared galaxies PAH bump Dust emission Stellar light Lagache et al. 2005

  4. IR Local Luminosity Function: (Sanders & Mirabel 1996) IRAS number counts: (Hacking et al. 1987)

  5. Spitzer deep surveys could reach LIGs down to redshift z~3. IRAS 80’s ~100mJy ISO (late 90’s) ~0.1mJy Spitzer (now) ~0.01mJy

  6. ISOCAM and Spitzer 24um source counts: Z<2 Z<0.3 Lagache 2004 model Papovich et al. 2004 Elbaz et al. 1999

  7. Nature of local and distant ULIGs: a) ~100% local ULIGs are merging systems (Kim et al. 2001); b) >50% high redshift ULIGs give indication of interacting; part of SCUBA sources are suggested to be high redshift counterparts of local ULIGs and LIGs (Smail et al. 1998)

  8. Morphological study of distant Spitzer galaxies ACS images in CDF-S/GEMS area (Papovich et al. 2004) X 2 in the deeper GOODS data Statistics given by Bell et al. 2005: (z~0.7, 1500 galaxies) Strongly interacting galaxies <30% Spiral morphologies >50% E/S0 morphologies ~20%

  9. Aggregation dynamics and the simultaion f~-1.347

  10. Why do such a model? • Statistically understand the role which mergers actually could play in the galaxy evolution studies. • Whether ULIGs and LIGs could evolve in a continuous way. • Whether density and luminosity evolution could come out naturely and simply.

  11. Modelling the infrared burst phase at high z 1) Mass-light ratio for faint blue starburst galaxies L/L = ( M/M )^h, L (z) ~ f(z, l0, W0 ) where h = 4/3 (Cavaliere & Menci, 1997) 2) ULIGs from gas rich mergers of high redshift h =2.8 (an infrared burst phase) (observation and N-body ) 3) Differential dimming ~ (L_{ir}/Lc)^ z means the brighter ones dim faster. ~0.4 at FIR (Wang & Biermann 2000, Wang 2002)

  12. Selected SEDs for ULIGs and LIGs:

  13. Model fitting of ISOCAM and Spitzer results: Franceschini et al. 2001 Perez-Gonzalez et al. 2005 AGN?

  14. Cosmic star formation history associated with accretion based on X-ray deep surveys (Wang et al. 2003)

  15. The contribution of LIGs, ULIGs to the 24um source counts:

  16. Source count fitting at longer wavelengths:

  17. Constraints from Spitzer & VLA deep surveys: Barger et al. 2000 Cowie et al. 2004

  18. Stellar budget estimation (upper limits):

  19. Stellar budget estimation (upper limits):

  20. Conclusions: 1)A population of LIGs or ULIGs triggered by galactic interactions at z~1 could successfully account for the upturn of IRAS, ISO, Spitzer and VLA number counts at faint flux level. . 2)The decrease of merger rate with cosmic time alone is not sufficient for such strong evolution, an infrared burst phase is crucial for the steep slope of the ISO and Spitzer differential counts at sub-mJy. 3)Dusty starburst galaxies triggered by galactic interactions at z~1 would contain about 30%~50% of the stellar mass in the Universe, Comparing with the NIR deep surveys and the background measurements.

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