- PowerPoint PPT Presentation

About This Presentation
Title:

Description:

Why Study Source Counts - How many galaxies are there in the Universe ? ... Faint blue galaxies (relatively low luminosity) were more numerous in the past ... – PowerPoint PPT presentation

Number of Views:18
Avg rating:3.0/5.0
Slides: 34
Provided by: Astr48
Category:
Tags: blue | is | sky | the | why

less

Transcript and Presenter's Notes

Title:


1
Observational Cosmology 6. Galaxy Number Counts
It is a capital mistake to theorise before one
has data. Insensibly one begins to twist facts to
suit theories instead of theories to suit facts.

    Sherlock Holmes.
2
6.1 Why Study Source Counts
  • Why Study Source Counts - How many galaxies are
    there in the Universe ?

Why Study Galaxy Source Counts ?
  • To count the numbers of galaxies in the Universe
  • Numbers of galaxies
  • Density of galaxies and the Universe
  • Fainter and fainter galaxies at higher and
    higher redshift
  • To determine the Geometry of the Universe
  • Faint source counts depend on the geometry of
    the Universe
  • low density / cosmological constant ? faster
    expansion ? larger volumes ? more galaxies
  • To investigate the contribution of different
    galaxy populations to the Universe
  • investigate optical mix of morphological types
  • local infrared - spirals
  • bright radio - ellipticals
  • X-rays - AGN
  • To investigate the evolution of galaxies
  • Compare galaxies today with galaxies in the past
  • Quantify and constrain the evolution in the
    galaxy populations
  • Discriminate the nature of the evolution

3
6.1 Why Study Source Counts
  • Why Study Source Counts - The Geometry of the
    Universe

4
6.1 Why Study Source Counts
  • Why Study Source Counts - Population Contributions

5
6.1 Why Study Source Counts
  • Why Study Source Counts - Evolution

6
6.2 Source Counts Derivation
  • Simple Euclidean Case

How many galaxies are there in the Universe
  • For flat, non expanding Universe filled with
    uniformly distributed galaxies of same luminosity
  • (A Euclidean Universe)
  • Galaxy number density n
  • Galaxy luminosity L
  • Number of galaxies to distance ( d ) N
  • Nearby Galaxies generally follow this
    distribution
  • More complex when we look to greater distances
  • We have to consider the cosmology galaxy
    evolution
  • Have to consider a range of galaxy types and
    luminosities

7
6.2 Source Counts Derivation
  • Derivation of Source Counts

SOURCE COUNT MODEL
8
6.2 Source Counts Derivation
  • Cosmology

Number of galaxies, N (seen to sensitivity, S)
number density galaxies x volume (for all
luminosities)
Galaxy number density (all luminosities) -
Luminosity Function
Volume depends on cosmology (Ho, Wo, L) Wo 0,
1 easiest
The farthest galaxies you can see depends on the
sensitivity
The Distance also depends on the cosmology (Ho,
Wo, L) Wo 0, 1 are the easiest.
9
6.2 Source Counts Derivation
  • Luminosity Function

LUMINOSITY FUNCTION Galaxy number density as a
function of their luminosity
Depends on 4() parameters
10
6.2 Source Counts Derivation
  • Luminosity Function

11
6.2 Source Counts Derivation
  • Calculation of Luminosity Function (1/Vmax method)

In 2-D
In 3-D
Pi probability of object staying in sample such
that if the probability of dropping out is 1/2
then we require 2x the weight This will be an
unbiased estimator of the underlying value
Vmax,I volume enclosed at maximum redshift
zmax,i at which the ith object can be
observed. Vlimit arbitrary large volume into
which the flux limited sample is embedded
12
6.2 Source Counts Derivation
  • Calculation of Luminosity Function (Maximum
    Likelihood method)

13
6.2 Source Counts Derivation
  • K-Correction

Want compare luminosities at the same wavelengths
? K-Correction
  • Due to redshift effect s, the true galaxy SED
    and that seen from Earth are different
  • Need to know about emission from sources at one
    single wavelength but we have ensemble le lo/
    (1z)
  • Need a CORRECTION ? This correction is called
    the K-CORRECTION
  • The significance of the correction depends on
    the shape of the galaxy SED

Observed flux at observed frequency, no, (cnl)
Corresponding to the luminosity at ne
The K-Correction depends on the assumed Spectral
Energy Distribution (SED)
14
6.2 Source Counts Derivation
  • Evolution
  • LUMINOSITY EVOLUTION
  • Galaxies in the past were more luminous
  • DENSITY EVOLUTION
  • Galaxies in the past were more numerous

Parameterize luminosity evolution
f(z) Parameterize density evolution g(z)
15
6.2 Source Counts Derivation
  • Evolution

16
6.2 Source Counts Derivation
  • V/Vmax Test for Evolution

For a galaxy with luminosity, L, in a redshift
survey there is a maximum volume within which the
object can be detected, Vmax(zmax)
Compare with volume in which galaxy was actually
detected V(z), 0 lt V(z) lt Vmax
If there was no change in co-moving number density
independent of V ? V/Vmax uniformly distributed
between 0 - 1 ? ltV/Vmaxgt 0.5
? ltV/Vmaxgt significantly deviates from 0.5 ?
evolution
17
6.3 Source Counts Results
  • Integral and Differential Source Counts

18
6.3 Source Counts Results
  • Number Redshift Distributions

19
6.3 Source Counts Results
  • Back Ground Contributions and Confusion

20
6.4 Multiwavelength Source Counts
  • Optical Source Counts

Faint blue galaxies (relatively low luminosity)
were more numerous in the past and may dominate
the faint source counts
21
6.4 Multiwavelength Source Counts
  • Optical Morphological Evolution

Redshift Distributions as function of
morphological type
  • Bright Fluxes - More ellipticals , less
    Irregular
  • Faint Fluxes - Few Ellipticals, more Irregular
  • The Butcher Oemler Effect
  • Low redshift Clusters have more red galaxies than
    blue galaxies,
  • Higher redshift Clusters have higher fraction of
    blue galaxies
  • The morphology Density Relationship
  • Denser regions of clusters have higher proportion
    of red galaxies than less dense regions

22
6.4 Multiwavelength Source Counts
  • Near-Infrared Source Counts
  • Near-infrared
  • Emission from cool stars
  • Old populations dominate
  • Bright Fluxes E/S0 50
  • Tracing Stellar Mass

23
6.4 Multiwavelength Source Counts
  • Far-Infrared Source Counts

The Dusty Universe Infrared Emission UV
emission from young hot OB stars Absorbed by
dust Reprocessed and emitted at IR wavelength
24
6.4 Multiwavelength Source Counts
  • Far-Infrared Source Counts
  • Infra Red Astronomy Satellite
  • Launched 1983
  • All sky survey 12, 25, 60, 100mm
  • The importance of DUST.
  • For normal galaxies LIR/Lopt - 30.
  • For Starburst LIR/Lopt - 50-90.
  • ULIG - A new population LIR/Lopt - 90-99
  • IR - Strong Evolution - High Star Formation.
  • 50-60 Star Formation in the Universe is in IR.

25
6.4 Multiwavelength Source Counts
  • Far-Infrared Source Counts

Infrared Space Observatory ISO, 11/1995-5/1998
  • The ISO Universe
  • Source counts 7-200mm
  • Strong Evolution
  • Dominant LIG/ULIG pop.

26
6.4 Multiwavelength Source Counts
  • Far-Infrared Source Counts

Infrared Space Observatory ISO, 11/1995-5/1998
  • The ISO Universe
  • Source counts 7-200mm
  • Strong Evolution
  • Dominant LIG/ULIG pop.

27
6.4 Multiwavelength Source Counts
  • Submillimetre Source Counts
  • 850mm SCUBA JCMT
  • Re-emission from dust of Starlight at sub-mm
    wavelengths
  • Many line emission from rotational transitions
    of CO
  • Large negative K-corrections ? access high z
    Universe
  • LBOL ? 1012Lo SFRgt102-103Mo/yr (Arp220 like
    ULIG sources)
  • 50 detected sources
  • Strong Evolution
  • Assembly of an Elliptical Galaxy in lt 1Gyr
  • SCUBA beam 15 ? I.D.s difficult ? few
    redshifts
  • Median redshift 2.5

28
6.4 Multiwavelength Source Counts
  • Radio Source Counts
  • Radio Sources separated into 2 populations
  • Bright radio fluxes (S1.4GHz gt mJy)
  • ? Radio Loud Ellipticals
  • Black Hole Power Source
  • power law emission S1.4GHz ? n-a a 0.3
  • Faint radio sources (S1.4GHz lt mJy)
  • ? Star Forming Galaxies (STFG)
  • SNR synchrotron emission
  • ? Star Formation Power Source
  • S1.4GHz ? n-a a 0.8
  • Bright radio fluxes - Ellipticals Dominate
  • sub-mJy fluxes - Emergence of new population
    (Starburst Galaxies)
  • ltzgt0.3 ? higher redshift counterpart of IRAS
    STFG
  • Follow well known Radio-FIR relation (S60mm 90
    S1.4GHz)
  • Radio fluxes lt 35mJy - Spectral slope flattens
    to a 0.7 ? STFG dominate over AGN
  • zlt1.5 optically red star forming galaxies

29
6.4 Multiwavelength Source Counts
  • X-Ray Source Counts

Bright (0.5-2keV) X-ray Fluxes Dominant
Population - Quasars S (0.5-2keV) lt 10-14 ergs
cm-2 s-1 ? new faint population of sources
NELGs (Starbursts / AGN) Densities
1000-2000/sq.deg.
30
6.5 The Star Formation History
  • Background Light

31
6.6 Future Prospects
  • The Future
  • Spitzer
  • GALLEX
  • ASTRO-F
  • UKIDSS
  • VISTA
  • Herschel
  • SCUBA-2
  • WISE
  • ALMA
  • JWST
  • SPICA
  • SKA

32
6.7 Summary
  • Summary
  • Study Galaxy source counts to
  • investigate the contribution of different galaxy
    populations to the Universe
  • compare the evolution of galaxies today with
    those in the past
  • constrain Geometry of the Universe
  • Source counts depend on
  • Cosmology
  • Luminosity Function
  • K-Correction
  • Evolution
  • Source counts are a function of observing
    wavelength
  • Different wavelengths are dominated by different
    classes of sources
  • To understand the star formation and
    evolutionary history ? multiwavelength analysis
  • Present and next generation surveys
  • Larger areas to greater depths
  • increase statistical samples by orders of
    magnitudes!

33
6.7 Summary
  • Summary

?
Observational Cosmology 6. Galaxy Number Counts
Observational Cosmology 7. The Evolving Universe
?
Write a Comment
User Comments (0)
About PowerShow.com