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KIT, Sep 7, 2017
Jun Zhang (张骏) (SJTU)
Collaborators:
Fuyu Dong, Yingke Li, Xiangchong Li, Tianhuan Lu, Xiaohu Yang, Pengjie Zhang, Wentao Luo (SJTU);
Nobuhiko Katayama (IPMU); Dezi Liu, Zuhui Fan (PKU); Liping Fu (SHNU); Guoliang Li (PMO). .
Astronomy in SJTU, and Weak Lensing Measurement
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Outline:
Introduction & Motivation
The Fourier_Quad method
Application on the CFHTlens data
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Outline:
Introduction & Motivation
The Fourier_Quad method
Application on the CFHTlens data
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Credit: NASA/WMAP
Dark Energy~70%
Regular Matter~5%
Dark Matter~25%
Cosmic Energy Budget
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Full Professors
Department of Astronomy of SJTU
Yipeng Jing Bin Wang
Haiguang XuXiaohu Yang
Pengjie Zhang
Jun ZhangDechang Dai
Dangbo Liu
Chengze Liu
Le Zhang Ying Zu
Junior Faculty Members
Yu Yu Zhigang Li
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Large Scale Structure
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Gravitational Lensing
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Cosmic Reionization
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Cluster Physics
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Gravity Theories
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According to GR , lights from distant sources aredeflected by gravity, causing the lensing effect. Thisvisible effect can be used to probe the cosmicstructures on large scales, leading to clues forpossible new physics !!
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Application of Weak Lensing
Credit: Fu et al. (2014)
CFHTLenS: cosmic shear two-point and three-point correlation 15
flat ΛCDM curved ΛCDM
0.1 0.2 0.3 0.4 0.5 0.6
0.65
0.70
0.75
0.80
0.85
0.90
0.95
1.00
Wm
s8
CFHTLenS
WMAP9
Planck
CFHTLenS+WMAP9
CFHTLenS+Planck
0.1 0.2 0.3 0.4 0.5 0.6
0.65
0.70
0.75
0.80
0.85
0.90
0.95
1.00
Wm
s8
CFHTLenS
WMAP9
Planck
CFHTLenS+WMAP9
CFHTLenS+Planck
F igur e 11. M arginalised posterior density contours (68.3%, 95.5%) from CFHT LenS (joint second-order COSEBIs and third-order
diagonal aperture-mass; magenta lines), W M AP9 (blue), Planck (green), CFHT LenS + W M AP9 (black), and CFHT LenS + and Planck
(orange). T he model in the left panel is a flat cosmology, the right panel shows the case of free curvature.
,
differences for σ8 between the two probes, see Fig. 11. For a
given σ8 , CFHT lenS prefers a lower Ωm.
The CFHTLenS+ Planck const raints are shifted to-
wards smaller Ωm compared to Planck alone (Figs. 10
and 11). I t was already seen from second-order cosmic
shear (K 13; Benjamin et al. 2013; Heymans et al. 2013) that
CFHTLenS prefers a lower Ωm . Further, over the range of
Ωb allowed by Planck, lensing puts a lower limit on h. Be-
cause of the st rong CMB degeneracies between h and both
Ωb and Ωm , t he joint Lensing+ Planck const raints rule out
larger values of Ωm and Ωb (Fig. 12).
For a flat CDM model with a free, constant w param-
eter, the CMB shows the same degeneracy as weak lens-
ing in the space of Ωm and σ8 as shown in K ilbinger et al.
(2009). Adding WMAP9 to CFHTLenS does not reduce the
allowed parameter space by much – to lift the degeneracy
efficient ly, one would have to further add BAO and/ or Hub-
ble constant priors. The combined CFHTLenS+ Planck con-
tours are dominated by Planck. Compared to the flat case,
the allowed parameter space moves towards lower Ωm and
higher σ8 .
7 D I SCU SSI ON
7.1 D iagonal and gener al ized t hi r d m om ent s
The generalised third-order aperture-mass contains more
informat ion about cosmology than the diagonal one
(K ilbinger & Schneider 2005). This is because the former
probes a wide range of t riangles of different shape of the bis-
pect rum in Fourier space. The lat ter is rest ricted to mainly
equilateral t riangles. This can be inferred from eq. (13): if all
filt er scales θi are equal, the fi lt er funct ions U all peak at the
same scale i = (2)/ θi , and the bispect rum cont ribut ion
comes mainly from equilateral t riangles.
We confirm this predict ion with CFHTLenS, where the
Tab le 6. Cosmological parameter result s wit h 68% confi-
dence intervals. T he first l ine for each parameters shows
CFHT LenS+ W M AP9, the second line is CFHT LenS+ Planck.
T he three columns correspond to the three different models.
Param. flat ΛCDM flat wCDM curved ΛCDM
0.268+ 0.013− 0.012 0.304+ 0.141
− 0.096 0.266+ 0.024− 0.022Ωm
0.290+ 0.011− 0.013 0.187+ 0.081
− 0.032 0.282+ 0.021− 0.017
0.812+ 0.014− 0.013 0.794+ 0.148
− 0.120 0.817+ 0.028− 0.024σ8
∗
0.812+ 0.008− 0.010 0.975+ 0.065
− 0.109 0.823+ 0.021− 0.015
− 0.949+ 0.355− 0.466w0 − 1
− 1.552+ 0.372− 0.203
− 1
0.733+ 0.018− 0.015Ωde 1 − Ωm 1 − Ωm
0.714+ 0.012− 0.016
0.0011+ 0.0083− 0.0083ΩK 0 0
0.0035+ 0.0074− 0.0074
0.709+ 0.013− 0.013 0.697+ 0.168
− 0.116 0.715+ 0.042− 0.032h
0.692+ 0.012− 0.009 0.878+ 0.079
− 0.128 0.706+ 0.033− 0.027
0.0452+ 0.0013− 0.0012 0.0516+ 0.0240
− 0.0168 0.0447+ 0.0048− 0.0044Ωb
0.0468+ 0.0009− 0.0010 0.0299+ 0.0127
− 0.0052 0.0449+ 0.0037− 0.0043
0.976+ 0.012− 0.012 0.978+ 0.014
− 0.013 0.975+ 0.011− 0.012ns
0.967+ 0.009− 0.005 0.964+ 0.006
− 0.006 0.965+ 0.009− 0.006
error bar on the amplitude parameter Σ 8 = σ8(Ωm / 0.27)α is
reduced to about half thesize (Fig. 13, Table 7). Most impor-
tant ly, the generalized third moment excludes a good part
of the low-amplit ude region in the Ωm -σ8 parameter space
(Fig. 6). Interest ingly, despite this informat ion increase, the
detect ion significance of the generalised third moment is
c 2009 RAS, M NRAS 000, 1–18
Image credit:
Wittman et al. (2000)
• probing the density growth history
• probing the distance-redshift relation
• probing the nature of dark matter/energy
• Testing the theory of GR on cosmic scales
Zhang et al. (2007)Alam et al. (2017)
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Lensing PSF NoisePixelation
LSST
WFIRST EUCLID
Subaru HSCDES
Huterer et al. (2006)
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Heymans et al., 2006, MNRAS, 368, 1323
Massey et al., 2007, MNRAS, 376, 13
Bridle et al., 2009, Annals of Applied Statistics, 3, 6
Kitching et al., 2011, Annals of Applied Statistics, 5, 2231
Mandelbaum et al., 2014, ApJS, 212, 5
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KSB+ Method:
O
ji
O
OO
ijfWd
fWdyxQ
2
2
,
12
2211
22112
1
2
1
Q
pPP sm
1
Heymans et al. (2006)
Shapelets Method:
CSSPG el 2211mod 1
Kuijken (2006)
2
2
2
11
i
i
BJ02 Method: Bayesian Galaxy Shape Measurement Method: (Lensfit)
2
2 )1(
i i
iii fBSSBgy
Miller et al. (2013)
Bernstein & Jarvis (2002)
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Challenges & Opportunities
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Outline:
Introduction & Motivation
The Fourier_Quad method
Application on the CFHTlens data
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Zhang, Luo, Foucaud, 2015
Galaxy Noise
The Fourier_Quad Method
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Zhang, Luo, Foucaud, 2015
Test Results
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Mandelbaum et al. (2015)
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JZ, Zhang, Luo, 2017, ApJ, 834, 8
Some Recent Progress
New Statistics Approaching the C-R
Limit(minimal statistical error)
About Image Size
Li & Zhang, 2016, ApJ, 830, 116
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APPROACHING THE CRAMER-RAO BOUND IN WEAK LENSING
WITH PDF SYMMETRIZATION
C-R BOUND Examples
JZ, Zhang, Luo, 2017, ApJ, 834, 8
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APPROACHING THE CRAMER-RAO BOUND IN WEAK LENSING
WITH PDF SYMMETRIZATION
JZ, Zhang, Luo, 2017, ApJ, 834, 8
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APPROACHING THE CRAMER-RAO BOUND IN WEAK LENSING
WITH PDF SYMMETRIZATION
JZ, Zhang, Luo, 2017, ApJ, 834, 8
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Outline:
Introduction & Motivation
The Fourier_Quad method
Application on the CFHTlens data
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CFHTlens
• http://www.cfhtlens.org
• Erben et al (2012)
• Heymans et al (2012)
• Miller et al (2012)
Application on the CFHTlens data
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Application on the CFHTlens data
Galaxy Images Star Images
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Test with Field Distortion
Dong et al. in preparation
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Test with Field Distortion
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Application on the CFHTlens data
Original ImageTHELI Processed We Processed
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Application on the CFHTlens data
Source DistributionMask Image
Stacked Source PS
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Application on the CFHTlens data
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PSF
About PSF Interpolation
陆天桓, et al. , 2017, AJ in press
?
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About PSF Interpolation
Global Polynomial n = 10
Chipwise Polynomial n = 1
Kriging
Shepard
Lu, et al. , 2017, AJ in press
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Cluster catalog from Ford et al.(2015)
From Lensfit Method From Our Method
Preliminary Results on Cluster Lensing
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Dong et al. in preparation
Preliminary Results on Cluster Lensing
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Stay Tuned !
Thank You !