dark energy, halo mass functions and lens statistics
DESCRIPTION
Dark Energy, Halo Mass Functions and Lens Statistics. 채규현 (Kyu-Hyun Chae) 세종대학교 천문우주학과. 1. Dark Energy (DE). Theoretical possibility invoked to explain the observed accelerating expansion of the Universe Alternatively, modified gravity theories - PowerPoint PPT PresentationTRANSCRIPT
Dark Energy, Halo Mass Functions and Lens Statistics
채규현 (Kyu-Hyun Chae)세종대학교 천문우주학과
1. Dark Energy (DE)
• Theoretical possibility invoked to explain the observed accelerating expansion of the Universe
• Alternatively, modified gravity theories • An evolving dark energy or a cosmological
constant? • Whether dark energy evolution crosses (has
crossed) the phantom divide line (PDL)?• Present cosmological observational results do
not appear to converge.
• Consider the following parameterization for the evolution of the DE equation of state (EOS) :
(Linder 2003) w0 =-1 & w1 =0
: Einstein’s cosmological constant w0 = present-epoch EOS
w0 + w1 = EOS right after the big bang
w1 = evolution parameter
x
xpw
1)( 10
z
zwwzw
Key cosmological factor:
zdz
zwzzX
zzXzH
zHzE
zEzdz
dtH
z
x
x
kxm
kxm
00
000
200
30
0
0
1
)](1[3exp
)()(
)1(
)1()()1()(
)(
)()1(
1
Cosmological distances [dL(z), dA(z)] depend on this factor.
2. Recent Constraints on DE Evolution
Type Ia supernovae observations [in particular, Gold data set, Supernova Legacy Survey (SNLS) data set, ESSENCE data set]: luminosity distance-redshift relation [inv. ],
WMAP 3-year results: angular-diameter distance of the sound horizon at zdec [inv. ]
SDSS luminous red galaxies: baryonic acoustic-peak oscillations (BAO) [inv. ]
…..
)(zdL
)(zdA
)(zdA
Nesseris & Perivolaropoulos (2007)
Wu & Yu (2007)
• Based on current results: DE Evolving or Not?
- The current results are inconclusive: Different data sets produce different results.
- Some results suggest an evolving DE that has only recently crossed the PDL.
- Further independent cosmological tests are warranted.
3. Lens Statistics Test of DE
dMdM
dn
Bdzdz
dtHsznRH
0)(
d
d
dn
Multiple-imaging (strong lensing) probability:
n(z): number density, e.g.
s: cross section. B: magnification bias
Differential probability:
dz
d
dzd
d 2
• For the distribution of the number density, we use the velocity dispersion function dn/dσ of early-type galaxies based on the SDSS DR5 data (Choi, Park, & Vogeley 2007).
• For the lensing potential, we use the singular isothermal ellipsoid mass model.
• Use CLASS + other radio-selected lens sample of 26 lenses.
Ωm0=0.2 Ωm0=0.25
Strong Lensing appears to slightly favor an evolving DE EOS that has crossed the PDL at a recent epoch!
Larger data sets are required for improving precision (e.g. SKA).
4. Dark Halo vs Galaxy
halo mass functions & mass profiles
Theory: N-body simulations and analytical models
baryonic physics: cooling, star formation & feedback, …
galaxy velocity functions & modified mass profiles
Observations: rotation velocities, gravitational lensing, etc
dM
dn
ddn
(Theory) (observation)
(simulation)(spectroscopic survey; strong lensing)
NFW(-like) mass profile
Isothermal(-like) profile
(simulation)(rotation curves; stellar dynamics; strong lensing)
M σ
Linking M to σ: recent N-body simulation results + the SDSS VDF and strong lensing
-To study galaxy formation mechanisms involving baryonic physics
-To probe dark energy and galaxy formation together