Ca II Absorbers in the Sloan Digital Sky Survey Data Release 9 · Ca II Absorbers in the Sloan...
Transcript of Ca II Absorbers in the Sloan Digital Sky Survey Data Release 9 · Ca II Absorbers in the Sloan...
Ca II Absorbers in the Sloan Digital Sky Survey Data Release 9
Gendith Sardane Department of Physics & Astronomy
PITTsburgh Particle Physics Astrophysics and Cosmology Center
University of Pittsburgh, PA December 2, 2013
Outline
I. Introduction/Motivation II. Survey Details III. Statistics IV. Imaging V. Summary
I. Search for Ca II in the SDSS
HI Ly−a CIV OVI MgII CaII0
2
4
6
8
10
12Lo
ok B
ack
Tim
e, G
Yr
0.00
0.16
0.37
0.65
1.07
1.86
4.11
Reds
hift
In an SDSS spectrum :
Motivation • Ca II λλ 3934,3969 ÅÅ gives access to the very low
redshift Universe. • It is a rare class of absorber— under-utilized, under
represented and under-studied. • Strong Ca II systems preferentially reside in dense,
dusty, neutral, metal-rich, molecular H2-bearing environments – the reservoirs for SF (Wild & Hewett, 2005, Wild et al 2006, Wild et al 2007, Nestor et al 2008, Zych et al 2007, Zych et al 2009)
• Ca II absorber regions exhibit higher SFRs than other absorber regions (Zych et al 2008, Zhu & Menard 2013)
• Host galaxies as faint as ~0.01L* can be studied with SDSS images
Search for Ca II in SDSS
1. SDSS DR9 spectroscopic QSOs brighter than i = 20.
2. zQSO > 0.1
3. Exclude BAL QSOs (Paris et al. 2012, Shen et al. 2011 )
4. Searched a total of roughly 95, 000 QSOs
5. Search excludes the Ly-alpha forest
0 1 2 3 4 5 6QSO Redshift
0
5.0•103
1.0•104
1.5•104
QSO
Num
ber
0 1 2 3 4 5 6
Num
ber o
f QSO
s
Search for Ca II in SDSS : Data Reduction Pipeline
Spectrum: wavelength, flux, error
Fit Continuum: Splines and Gaussians
Linefinder to find candidate CaII absorbers, separated zQSO & z =0 by at
least 6,000 km/s
Visual inspection to remove spurious systems. Apply significance &doublet ratio cuts
= 441 candidates
zQSO ≈ 1.7199
5040 5060 5080 5100Observed Wavelength, Angstroms
0.0
0.1
0.2
0.3
0.4
0.5No
rmali
zed Fl
ux
5040 5060 5080 5100Observed Wavelength, Angstroms
0.0
0.1
0.2
0.3
0.4
0.5
Norm
alized
Flux
<zABS > ≈ 0.819 7160 7180 7200 72200.7
0.8
0.9
1.0
1.1
4000 5000 6000 7000 8000 9000Observed Wavelength, Angstroms
0
100
200
300
400
Flux
[ 10
ï17 e
rgs/
s/cm
2 /Ang
] CIV
C III ]
Mg II
0 1 2 3W0
h3934 [Å]
0
20
40
60
80
Num
ber o
f Det
ectio
ns
Observed Redshift and Rest Equivalent Width Distributions
Stats: Cuts : W0
λ3934 ≥ 5σ , W0λ3969 ≥ 2.5σ,
1-σDR ≤ DR ≤ 2+σDR Number of systems= 441
DR =W0λ3934
W0λ3969
0.0 0.5 1.0 1.5Redshift, zabs
0
20
40
60
80
Num
ber
< zabs > ≈ 0.58 < W0λ3934 > ≈ 0.77
1.5 0
Å
0.0 0.5 1.0 1.5Redshift, z
0
2•104
4•104
6•104
8•104
1•105
Sigh
tline
Cov
erag
e
4000 5000 6000 7000 8000 9000Wavelength, Angstroms
W0min = 0.3Å
W0min = 0.6Å
W0min = 1.0Å
W0min = 2.0Å
W0min = 4.0Å
0 1 2 3 4 5 6W0
min, Angstroms
0
2•104
4•104
6•104
8•104
1•105
Cum
ulat
ive
Pathïl
engt
h, g
(W)
Survey Sensitivity Function
Ca II Absorbers in the Sloan Digital Sky Survey Data Release 9
Gendith Sardane1, David A. Turnshek1, Sandhya M. Rao1
ABSTRACT
We present the results of a Ca II��3934, 3969 absorption-line survey culled
from ⇠ 95, 000 QSO spectra from the Sloan Digital Sky Survey Data Release
9. With ⇠ 470 doublets, the catalog is the Ca IIcatalog ever compiled to date,
spanning redshifts z < 1.34. We find that the �3934 equivalent width distribu-
tion cannot be su�ciently described by a single exponential fucntion. A double
exponential function is required to satisfactorily describe the distribution. The
fuction is written as a sum of weak and strong components.... say the parame-
ters. This suggests that Ca IIis composed of two distinct populations of absorbing
clouds. The number density per unit redshift does not show evidence for evolu-
tion. In comparison to the Mg II, we found that only 3% of the Mg IIhave Ca II,
suggesting that it is rare!
Subject headings:
1. Introduction
The sensitivity matrix.
g(W �39340 , z) =
NLOSX
i=1
H(z � zmin(i))H(z
max(i) � z)H[W �39340 � 5�0]H[W �3969
0 � 2.5�0] (1)
Now this is the cumulative path as a function of redshift:
g(W0) =
Z 1
0
g(W0, z)dz (2)
Now this is the distribution in equivalent width corrected by the path:
1Department of Physics and Astronomy, University of Pittsburgh, Pittsburgh, PA 15260
The Corrected Equivalent Width Distribution
0 1 2 3 4 5 6W0
min, Angstroms
0
2•104
4•104
6•104
8•104
1•105
Cum
ulat
ive
Pathïl
engt
h, g
(W)
Maximize Likelihood of the distribution:
– 2 –
dN
dW=
X
Wi2(W,W+dW )
1
g(Wi
)dW(3)
Now this is the model fuction for my corrected equivalent width distribution dn/dW :
dn
dW=
N⇤weak
W ⇤weak
exp
� W0
W ⇤weak
!+
N⇤strong
W ⇤strong
exp
� W0
W ⇤strong
!(4)
To calculate dn/dz I used :
dn
dz
�����W>Wmin
=X
Wi>Wminzi2(z,z+dz)
1
g(Wi
, zi
)dz(5)
p(Wi
; ✓) =g(W
i
)f(Wi
; ✓)WmaxZ
Wmin
g(W )f(W ; ✓)dW
(6)
2. Observations
3. Results
3.1. UV Spectra
3.1.1. COS-NUV Spectra
Gen to write paragraphs describing Figure 3.
3.1.2. COS-FUV Spectra
Dan vanden Berk to write this section.
0.5 1.0 1.5 2.0 2.5 3.0W0
h3934 [Å]
ï12
ï10
ï8
ï6
ï4
ï2
0
ln(,
N/,
W0h3
934 )
– 2 –
dN
dW=
X
Wi2(W,W+dW )
1
g(Wi
)dW(3)
Now this is the model fuction for my corrected equivalent width distribution dn/dW :
dn
dW �39340
=N⇤
weak
W ⇤weak
exp
� W �3934
0
W ⇤weak
!+
N⇤strong
W ⇤strong
exp
� W �3934
0
W ⇤strong
!(4)
To calculate dn/dz I used :
dn
dz
�����W>Wmin
=X
Wi>Wminzi2(z,z+dz)
1
g(Wi
, zi
)dz(5)
var =X
Wi>Wminzi2(z,z+dz)
✓1
g(Wi
, zi
)dz
◆2
(6)
p(Wi
; ✓) =g(W
i
)f(Wi
; ✓)WmaxZ
Wmin
g(W )f(W ; ✓)dW
(7)
dn
dz= �(z)⇢(z)
dl
dz(8)
dn
dz=
c
Ho
�(z)⇢(z)
(1 + z)p
⌦M
(1 + z)3 + ⌦⇤
(9)
2. Observations
3. Results
3.1. UV Spectra
3.1.1. COS-NUV Spectra
Gen to write paragraphs describing Figure 3.
W0min [ Å ]
0 1 2 3 4W0
h3934 [Å]
0
20
40
60
80N
umbe
r of D
etec
tions
Observed W0λ3934 [ Å ]
0.5 1.0 1.5 2.0 2.5 3.0W0 [Å]
ï6
ï5
ï4
ï3
ï2
ï1
0
1
log 1
0(,N
/,W
0)
Corrected Rest Equivalent Width Distributions
MLE Parameters :
Parameter! Weak! Strong!N*! 0.229 ± 0.032 0.022 ± 0.014
W*[A]! 0.146 ± 0.017 0.359 ± 0.055
– 2 –
dN
dW=
X
Wi2(W,W+dW )
1
g(Wi
)dW(3)
Now this is the model fuction for my corrected equivalent width distribution dn/dW :
dn
dW �39340
=N⇤
weak
W ⇤weak
exp
� W �3934
0
W ⇤weak
!+
N⇤strong
W ⇤strong
exp
� W �3934
0
W ⇤strong
!(4)
To calculate dn/dz I used :
dn
dz
�����W>Wmin
=X
Wi>Wminzi2(z,z+dz)
1
g(Wi
, zi
)dz(5)
var =X
Wi>Wminzi2(z,z+dz)
✓1
g(Wi
, zi
)dz
◆2
(6)
p(Wi
; ✓) =g(W
i
)f(Wi
; ✓)WmaxZ
Wmin
g(W )f(W ; ✓)dW
(7)
dn
dz= �(z)⇢(z)
dl
dz(8)
dn
dz=
c
Ho
�(z)⇢(z)
(1 + z)p
⌦M
(1 + z)3 + ⌦⇤
(9)
2. Observations
3. Results
3.1. UV Spectra
3.1.1. COS-NUV Spectra
Gen to write paragraphs describing Figure 3.
TWO Populations!
Ca II Equivalent Width Distribution vs Mg II & C IV
1 2 3 4 5 6W0 [Å]
ï6
ï5
ï4
ï3
ï2
ï1
0
1
log 1
0(,N
/,W
0)
Mg II
C IV Ca II
Evolution?
W0h3934 [Å]
Num
ber
0.0 0.5 1.0 1.5 2.0 2.5 3.005
10
15
20
2530
zBIN = [ 0.03,0.41 ]
0.0 0.5 1.0 1.5 2.0 2.5 3.0
zBIN = [ 0.42,0.72 ]
0.0 0.5 1.0 1.5 2.0 2.5 3.0
zBIN = [ 0.72,1.34 ]
W0h3934 [Å]
Num
ber
0.0 0.5 1.0 1.5 2.0 2.5 3.005
10
15
20
2530
zBIN = [ 0.03,0.41 ]
0.0 0.5 1.0 1.5 2.0 2.5 3.0
zBIN = [ 0.42,0.72 ]
0.0 0.5 1.0 1.5 2.0 2.5 3.0
zBIN = [ 0.72,1.34 ]
W0h3934 [Å]
Num
ber
0.0 0.5 1.0 1.5 2.0 2.5 3.005
10
15
20
2530
zBIN = [ 0.03,0.41 ]
0.0 0.5 1.0 1.5 2.0 2.5 3.0
zBIN = [ 0.42,0.72 ]
0.0 0.5 1.0 1.5 2.0 2.5 3.0
zBIN = [ 0.72,1.34 ]
W0h3934 [Å]
ln(,
N/,
W0h3
934 )
0.0 0.5 1.0 1.5 2.0 2.5ï12ï10
ï8
ï6
ï4
ï2
0 zBIN = [ 0.03,0.41 ]
0.0 0.5 1.0 1.5 2.0 2.5
zBIN = [ 0.42,0.72 ]
0.0 0.5 1.0 1.5 2.0 2.5
zBIN = [ 0.72,1.34 ]
zrange = [0.03, 0.42)
zrange = [0.03, 0.42)
zrange = [0.42, 0.72)
zrange = [0.42, 0.72)
zrange = [0.72, 1.34]
zrange = [0.72, 1.34]
1 2 3 4 5 6W0 [Å]
ï6
ï5
ï4
ï3
ï2
ï1
0
1lo
g 10(,
N/,
W0)
Redshift Number Density
0.0 0.5 1.0 1.5zABS
0.0001
0.0010
0.0100
dn/d
z
W0lim > 1.0Å
0.0 0.5 1.0 1.5zABS
W0lim > 1.5Å
0.0001
0.0010
0.0100
NEC
0.0 0.5 1.0 1.5zABS
W0lim > 1.5Å
0.0001
0.0010
0.0100
NEC
0.0 0.5 1.0 1.5zABS
0.0001
0.0010
0.0100
dn/d
z
W0lim > 1.0Å
0.0 0.5 1.0 1.5zABS
W0lim > 1.5Å
0.0001
0.0010
0.0100
NEC
0.0 0.5 1.0 1.5zABS
W0lim > 0.6Å
0.001
0.010
0.100
0.0 0.5 1.0 1.5zABS
0.01
0.10
1.00
dn/d
z
W0lim > 0.3Å
0.0 0.5 1.0 1.5zABS
0.01
0.10
1.00
dn/d
z
W0lim > 0.3Å
0.0 0.5 1.0 1.5zABS
W0lim > 0.6Å
0.001
0.010
0.100
0.0 0.5 1.0 1.5zABS
0.0001
0.0010
0.0100
dn/d
z
W0lim > 1.0Å
≥ ≥
≥ ≥
Redshift Number Density : CaII vs MgII
0 2 4 6 8 10 12Lookback Time, Gyr
0.01
0.10
1.00
dn/d
z
W0h3934 * 0.3 Å
W0h2796 * 0.3 Å Mg II NEC
Ca II NEC
0.00 0.16 0.37 0.65 1.07 1.86 4.11Redshift
0 2 4 6 8 10 12Lookback Time, Gyr
0.001
0.010
0.100
1.000
dn/d
z
W0h3934 * 0.6 Å
W0h2796 * 0.6 Å Mg II NEC
Ca II NEC
0.00 0.16 0.37 0.65 1.07 1.86 4.11Redshift
0
0 2 4 6 8 10 12Lookback Time, Gyr
0.001
0.010
0.100
1.000
dn/d
z
W0h3934 * 0.6 Å
W0h2796 * 0.6 Å Mg II NEC
Ca II NEC
0.00 0.16 0.37 0.65 1.07 1.86 4.11Redshift 0
Absorber – Galaxy Connection
1. Find the average number density of galaxies around Ca II-absorbing QSOs from SDSS images as a function of angular distance, redshift and limiting magnitude
2. At z = 0.15, the limiting magnitude of SDSS corresponds to L ~ 0.03L*
3. Background is determined from non-CaII absorbing QSOs
Lines of Sight with Absorbers
radius, arcsec
log
[Ave
rage
Num
ber p
er a
rcm
in2 p
er L
OS] z = [ 0.02, 0.05)
Brighter than rSDSS < 19.3z = [ 0.05, 0.08)
Brighter than rSDSS < 20.6z = [ 0.08, 0.11)
Brighter than rSDSS < 21.3
z = [ 0.11, 0.12)Brighter than rSDSS < 21.5
z = [ 0.12, 0.14)Brighter than rSDSS < 21.9
z = [ 0.14, 0.15)Brighter than rSDSS < 22.0
Some Ca II absorbers are Associated with very Luminous, Low-Impact Parameter Galaxies
b = 8 kpc b = 21 kpc b = 5 kpc b = 25 kpc
L = 1.3L* L = 1.3L* L =1.4L* L = 9.5L*
zabs = 0.047 zabs = 0.114 zabs = 0.113 zabs = 0.242
Are all Ca II absorbers associated with moderately luminous, low-impact
parameter galaxies?
No.
Cases with the Lowest Redshifts : zabs < 0.08
Brighter than 0.01L*
0 10 20 30 40 50 60Minimum Impact Parameter [Arcsec]
0
1
2
3
4
Num
ber
of D
etec
tions
<Impact Parameter > = 24.7[arcsec]
Brighter than 0.01L*
0 10 20 30 40 50 60Minimum Impact Parameter [Arcsec]
0
1
2
3
4
Num
ber
of D
etec
tions
<Impact Parameter > = 24.7[arcsec]
Brighter than 0.01L*
0.00 0.05 0.10 0.15 0.20 0.25 0.30Nearest Neighbor Luminosity [L*]
0
2
4
6
Num
ber o
f Det
ectio
ns
Mean Luminosity = 0.15L*
Median Luminosity = 0.04L*
Minimum Luminosity = 0.01L*
Maximum Luminosity = 1.35L*
Brighter than 0.01L*
0 20 40 60 80 100Minimum Impact Parameter [kpc]
0
1
2
3
4
Num
ber o
f Det
ectio
ns
Ca II at zabs = 0.0655: Where is the absorbing galaxy?
4180 4200 4220 4240Observed Wavelength, Angstroms
0.0
0.2
0.4
0.6
0.8
1.0
1.2
Nor
mal
ized
Flu
x
At minimum b: bmin ~ 43” r (bmin )= 21.0 bmin ~ 53 kpc L(bmin)~ 0.03 L*
S
S
S
S
S
Spectrum: W0
3934 = 1.1 ± 0.2 W0
3969 = 0.5 ± 0.2
CaII Absorption Spectrum SDSS r-band image
S : star-like Arrows: Blue – QSO Red – “Galaxy”
z = 0.0655
At minimum b: bmin ~ 74.6 ” r (bmin) = 20.7 bmin ~ 90.2 kpc L(bmin) ~ 0.04L*
Spectrum: W0
3934 = 0.25 ± 0.05 W0
3969 = 0.26 ± 0.05
Ca II at zabs = 0.0636: Where is the absorbing galaxy?
4180 4200 4220 4240Observed Wavelength
0.6
0.8
1.0
1.2
Nor
mal
ized
Flu
x
z = 0.0636
CaII Absorption Spectrum SDSS r-band image
Summary
• Conducted a search of Ca II λλ 3934,3969 AA doublet from ~95, 000 quasars in SDSS DR9.
• Rest equivalent width distribution is fit very well by a double power-law model, with little or no evolution with redshift.
• The redshift number density is consistent with the no evolution curve at > 99%, and at least an order of magnitude smaller than Mg II.
• Very few Ca II absorbers are associated with bright, low-impact parameter galaxies.
• In some cases, there is no evidence for “plausible” absorbing galaxies.