J/A+A/627/A137 Cosmology from galaxy lensing and clustering (Jullo+, 2019)
Testing gravity with galaxy-galaxy lensing and redshift-space distortions using
CFHT-Stripe 82, CFHTLenS and BOSS CMASS datasets.
Jullo E., de la Torre S., Cousinou M.-C., Escoffier S., Giocoli C.,
Benton Metcalf R., Comparat J., Shan H.-Y., Makler M., Kneib J.-P.,
Prada F., Yepes G., Gottloeber S.
<Astron. Astrophys. 627, A137 (2019)>
=2019A&A...627A.137J 2019A&A...627A.137J (SIMBAD/NED BibCode)
ADC_Keywords: Galaxy catalogs ; Gravitational lensing ; Models ; Redshifts
Keywords: cosmological parameters - cosmology: observations -
large-scale structure of Universe
Abstract:
The combination of Galaxy-Galaxy Lensing (GGL) and Redshift Space
Distortion of galaxy clustering (RSD) is a privileged technique to
test General Relativity predictions, and break degeneracies between
the growth rate of structure parameter f and the amplitude of the
linear power-spectrum σ8. We perform a joint GGL and RSD
analysis on 250 sq. degrees using shape catalogues from CFHTLenS and
CFHT-Stripe 82, and spectroscopic redshifts from the BOSS CMASS
sample. We adjust a model that includes non-linear biasing, RSD and
Alcock-Paczynski effects. We find f(z=0.57)=0.95±0.23,
σ8(z=0.57)=0.55±0.07 and {OMEGA}m=0.31±0.08, in agreement
with Planck cosmological results 2018. We also estimate the probe of
gravity EG=0.43±0.10 in agreement with {LAMBDA}CDM-GR predictions
of EG=0.40. This analysis reveals that RSD efficiently decreases the
GGL uncertainty on {OMEGA}m by a factor of 4, and by 30% on σ8.
We use an N-body simulation supplemented by an abundance matching
prescription for CMASS to build a set of overlapping lensing and
clustering mocks. Together with additional spectroscopic data, this
helps us to quantify and correct several systematic errors, such as
photometric redshifts. We make our mock catalogues available on the
Skies and Universe database.
Description:
Data:
In our GGL analysis, the lenses are the CMASS galaxies, and the
sources are galaxies in the CFHTLens and CFHT-Stripe 82 weak-lensing
catalogues. Lenses have spectroscopic redshifts, and sources have
photometric redshifts. For each lens, we can then discard all
uncorrelated foreground sources, and use the background sources to
estimate the lensing signal. The final GGL measurement is the average
of the signals for each lens.
Lightcones and lensing mock catalogues:
In order to accurately estimate large scale variance and possibly
unveil new systematic errors, we produce light-cones with the same
geometry as the observed fields.
File Summary:
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FileName Lrecl Records Explanations
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ReadMe 80 . This file
table1.dat 41 4 Number of CMASS galaxies per field, effective
lensing area after masking and number of
weak-lensing sources
table2.dat 23 4 Properties of the simulated fields in terms of
independent mock catalogue, random resampling of
lensing shape noise and photometric redshifts per
catalogue, and number of sub-regions for
Jackknife resampling
list.dat 46 118 List of catalogues
lensing/* . 57 Lensing catalogues
mock/* . 57 Clustering catalogues
random/* . 4 Random catalogues
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Byte-by-byte Description of file: table1.dat
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Bytes Format Units Label Explanations
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1- 3 A3 --- Field Field name
5- 9 I5 --- NCMASS Number of CMASS galaxies per field
11- 16 F6.2 deg+2 Area SDSS area
18- 22 F5.2 deg Size1 SDSS field size
23 A1 --- --- [x]
24- 27 F4.2 deg Size2 SDSS field size
29- 33 F5.1 deg+2 AreaEff Effective lensing area after masking
35- 41 I7 --- Nsources Number of weak-lensing sources
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Byte-by-byte Description of file: table2.dat
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Bytes Format Units Label Explanations
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1- 3 A3 --- Field Field Name
5- 9 F5.2 deg Size1 Field size
10 A1 --- --- [x]
11- 14 F4.2 deg Size2 Field size
16- 17 I2 --- Nmocks Number of mocks in the field (1)
19- 20 I2 --- Nres Number of realisations in the field
22- 23 I2 --- Nsub Number of sub-regions in the field
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Note (1): mocks catalogues in subdirectory mocks, with names as
FieldmockNNcmass.dat, with w1boss-w4boss for W1-W4 fields, respectively.
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Byte-by-byte Description of file: list.dat
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Bytes Format Units Label Explanations
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1- 7 A7 --- dir Directory name (1)
11- 13 A3 --- Field Field name
16- 46 A31 --- FileName Name of the file with directory name
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Note (1): Directory names as follows:
lensing = observed catalogues
mock = lensing mock catalogues
random = random catalogues
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Byte-by-byte Description of file: lensing/*
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Bytes Format Units Label Explanations
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1- 13 F13.9 deg RAdeg [] Right ascension (J2000)
15- 26 E12.9 deg DEdeg Declination (J2000)
28- 33 F6.4 --- z Redshift
35 I1 --- [0]
37- 48 E12.9 --- e_z [] Lower value of redshift error (e1)
50- 61 E12.9 --- E_z [] Upper value of redshift error (e2)
63 I1 --- Weight Weight
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Byte-by-byte Description of file: mock/*
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Bytes Format Units Label Explanations
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3- 12 F10.6 deg RAdeg [] Right ascension (J2000)
16- 25 F10.6 deg DEdeg Declination (J2000)
31- 38 F8.6 --- zt True redshift (true_z)
44- 51 F8.6 --- zobs Observed redshift (obs_z) (1)
54- 64 F11.6 pix xpos X position of the lightcone
66- 77 F12.6 pix ypos Y position of the lightcone
80- 90 F11.6 pix zpos Z position of the lightcone
92-103 F12.6 km/s Vx Velocity in X direction of the lightcone
105-116 F12.6 km/s Vy Velocity in Y direction of the lightcone
118-129 F12.6 km/s Vz Velocity in Z direction of the lightcone
135-142 F8.6 --- Weight Weight (2)
144 I1 --- --- [0]
146 I1 --- --- [0]
148 I1 --- --- [0]
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Note (1): Observed redshift combines true redshift and peculiar velocities.
Note (2): The weight is the FKP weight, with P0=2,000(Mpc/h)3,
as detailed in the paper.
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Byte-by-byte Description of file: random/*
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Bytes Format Units Label Explanations
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1- 25 E25.19 deg RAdeg [] Right ascension (J2000)
27- 51 E25.19 deg DEdeg Declination (J2000)
53- 76 E24.18 --- zobs Observed redshift (obs_z)
78-101 E24.18 --- Weight Weight
103 I1 --- --- [0]
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Acknowledgements:
Eric Jullo, eric.jullo(at)lam.fr
(End) Patricia Vannier [CDS] 30-Jun-2019