scholarly journals The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: modelling the clustering and halo occupation distribution of BOSS CMASS galaxies in the Final Data Release

2016 ◽  
Vol 460 (2) ◽  
pp. 1173-1187 ◽  
Author(s):  
Sergio A. Rodríguez-Torres ◽  
Chia-Hsun Chuang ◽  
Francisco Prada ◽  
Hong Guo ◽  
Anatoly Klypin ◽  
...  
Keyword(s):  
Data Release ◽  
Final Data ◽  
Halo Occupation Distribution

scholarly journals 2MTF – VII. 2MASS Tully–Fisher survey final data release: distances for 2062 nearby spiral galaxies

2019 ◽  
Vol 487 (2) ◽  
pp. 2061-2069 ◽  
Author(s):  
Tao Hong ◽  
Lister Staveley-Smith ◽  
Karen L Masters ◽  
Christopher M Springob ◽  
Lucas M Macri ◽  
...  
Keyword(s):  
Spiral Galaxies ◽  
Data Release ◽  
Final Data

scholarly journals The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: mock galaxy catalogues for the BOSS Final Data Release

2016 ◽  
Vol 456 (4) ◽  
pp. 4156-4173 ◽  
Author(s):  
Francisco-Shu Kitaura ◽  
Sergio Rodríguez-Torres ◽  
Chia-Hsun Chuang ◽  
Cheng Zhao ◽  
Francisco Prada ◽  
...  
Keyword(s):  
Data Release ◽  
Final Data

scholarly journals Tests of redshift-space distortions models in configuration space for the analysis of the BOSS final data release

2014 ◽  
Vol 447 (1) ◽  
pp. 234-245 ◽  
Author(s):  
Martin White ◽  
Beth Reid ◽  
Chia-Hsun Chuang ◽  
Jeremy L. Tinker ◽  
Cameron K. McBride ◽  
...  
Keyword(s):  
Configuration Space ◽  
Data Release ◽  
Final Data

scholarly journals The completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: BAO and RSD measurements from the anisotropic power spectrum of the quasar sample between redshift 0.8 and 2.2

2020 ◽  
Vol 499 (1) ◽  
pp. 210-229 ◽  
Author(s):  
Richard Neveux ◽  
Etienne Burtin ◽  
Arnaud de Mattia ◽  
Alex Smith ◽  
Ashley J Ross ◽  
...  
Keyword(s):  
Power Spectrum ◽  
Configuration Space ◽  
Linear Growth ◽  
Statistical Error ◽  
Systematic Errors ◽  
Linear Growth Rate ◽  
Consensus Analysis ◽  
Space Analysis ◽  
Data Release ◽  
Final Data

ABSTRACT We measure the clustering of quasars of the final data release (DR16) of eBOSS. The sample contains $343\, 708$ quasars between redshifts 0.8 ≤ z ≤ 2.2 over $4699\, \mathrm{deg}^2$. We calculate the Legendre multipoles (0,2,4) of the anisotropic power spectrum and perform a BAO and a Full-Shape (FS) analysis at the effective redshift zeff = 1.480. The errors include systematic errors that amount to 1/3 of the statistical error. The systematic errors comprise a modelling part studied using a blind N-body mock challenge and observational effects studied with approximate mocks to account for various types of redshift smearing and fibre collisions. For the BAO analysis, we measure the transverse comoving distance DM(zeff)/rdrag = 30.60 ± 0.90 and the Hubble distance DH(zeff)/rdrag = 13.34 ± 0.60. This agrees with the configuration space analysis, and the consensus yields: DM(zeff)/rdrag = 30.69 ± 0.80 and DH(zeff)/rdrag = 13.26 ± 0.55. In the FS analysis, we fit the power spectrum using a model based on Regularised Perturbation Theory, which includes redshift space distortions and the Alcock–Paczynski effect. The results are DM(zeff)/rdrag = 30.68 ± 0.90 and DH(zeff)/rdrag = 13.52 ± 0.51 and we constrain the linear growth rate of structure f(zeff)σ8(zeff) = 0.476 ± 0.047. Our results agree with the configuration space analysis. The consensus analysis of the eBOSS quasar sample yields: DM(zeff)/rdrag = 30.21 ± 0.79, DH(zeff)/rdrag = 3.23 ± 0.47, and f(zeff)σ8(zeff) = 0.462 ± 0.045 and is consistent with a flat ΛCDM cosmological model using Planck results.

Northern Australia Hydrogeochemical Survey: final data release and hydrogeochemical atlas for Exploring for the Future

2020 ◽  
Author(s):  
I Schroder ◽  
P de Caritat ◽  
L Wallace ◽  
J Trihey ◽  
C Boreham ◽  
...  
Keyword(s):  
Northern Australia ◽  
Data Release ◽  
Final Data ◽  
The Future

scholarly journals The GALEX Arecibo SDSS Survey – VIII. Final data release. The effect of group environment on the gas content of massive galaxies

2013 ◽  
Vol 436 (1) ◽  
pp. 34-70 ◽  
Author(s):  
Barbara Catinella ◽  
David Schiminovich ◽  
Luca Cortese ◽  
Silvia Fabello ◽  
Cameron B. Hummels ◽  
...  
Keyword(s):  
Gas Content ◽  
Massive Galaxies ◽  
Group Environment ◽  
Data Release ◽  
Final Data

scholarly journals The VIMOS VLT Deep Survey final data release: a spectroscopic sample of 35 016 galaxies and AGN out toz~ 6.7 selected with 17.5 ≤iAB ≤ 24.75

2013 ◽  
Vol 559 ◽  
pp. A14 ◽  
Author(s):  
O. Le Fèvre ◽  
P. Cassata ◽  
O. Cucciati ◽  
B. Garilli ◽  
O. Ilbert ◽  
...  
Keyword(s):  
Data Release ◽  
Final Data ◽  
Deep Survey

scholarly journals The completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: 1000 multi-tracer mock catalogues with redshift evolution and systematics for galaxies and quasars of the final data release

2021 ◽  
Vol 503 (1) ◽  
pp. 1149-1173 ◽  
Author(s):  
Cheng Zhao ◽  
Chia-Hsun Chuang ◽  
Julian Bautista ◽  
Arnaud de Mattia ◽  
Anand Raichoor ◽  
...  
Keyword(s):  
Configuration Space ◽  
Sample Selection ◽  
Acoustic Oscillation ◽  
Fourier Space ◽  
Bias Model ◽  
Data Release ◽  
Final Data ◽  
Systematic Effects ◽  
Space Distortion ◽  
Cross Correlations

ABSTRACT We produce 1000 realizations of synthetic clustering catalogues for each type of the tracers used for the baryon acoustic oscillation and redshift space distortion analysis of the Sloan Digital Sky Surveys-iv extended Baryon Oscillation Spectroscopic Survey final data release (eBOSS DR16), covering the redshift range from 0.6 to 2.2, to provide reliable estimates of covariance matrices and test the robustness of the analysis pipeline with respect to observational systematics. By extending the Zel’dovich approximation density field with an effective tracer bias model calibrated with the clustering measurements from the observational data, we accurately reproduce the two- and three-point clustering statistics of the eBOSS DR16 tracers, including their cross-correlations in redshift space with very low computational costs. In addition, we include the gravitational evolution of structures and sample selection biases at different redshifts, as well as various photometric and spectroscopic systematic effects. The agreements on the auto-clustering statistics between the data and mocks are generally within $1\, \sigma$ variances inferred from the mocks, for scales down to a few $h^{-1}\, {\rm Mpc}$ in configuration space, and up to $0.3\, h\, {\rm Mpc}^{-1}$ in Fourier space. For the cross correlations between different tracers, the same level of consistency presents in configuration space, while there are only discrepancies in Fourier space for scales above $0.15\, h\, {\rm Mpc}^{-1}$. The accurate reproduction of the data clustering statistics permits reliable covariances for multi-tracer analysis.

scholarly journals The WiggleZ Dark Energy Survey: final data release and the metallicity of UV-luminous galaxies

2017 ◽  
Vol 474 (3) ◽  
pp. 4151-4168 ◽  
Author(s):  
Michael J Drinkwater ◽  
Zachary J Byrne ◽  
Chris Blake ◽  
Karl Glazebrook ◽  
Sarah Brough ◽  
...  
Keyword(s):  
Dark Energy ◽  
Dark Energy Survey ◽  
Luminous Galaxies ◽  
Data Release ◽  
Final Data ◽  
Energy Survey

scholarly journals The splashback radius of optically selected clusters with Subaru HSC Second Public Data Release

2020 ◽  
Vol 72 (4) ◽  
Author(s):  
Ryoma Murata ◽  
Tomomi Sunayama ◽  
Masamune Oguri ◽  
Surhud More ◽  
Atsushi J Nishizawa ◽  
...  
Keyword(s):  
Galaxy Clusters ◽  
High Redshift ◽  
Distribution Model ◽  
Redshift Range ◽  
Public Data ◽  
Model Predictions ◽  
Data Release ◽  
Strategic Program ◽  
Galaxy Populations ◽  
Halo Occupation Distribution

Abstract Recent constraints on the splashback radius around optically selected galaxy clusters from the redMaPPer cluster-finding algorithm in the literature have shown that the observed splashback radius is ${\sim}20\%$ smaller than that predicted by N-body simulations. We present analyses on the splashback features around ∼ 3000 optically selected galaxy clusters detected by the independent cluster-finding algorithm CAMIRA over a wide redshift range of 0.1 < zcl < 1.0 from the second public data release of the Hyper Suprime-Cam (HSC) Subaru Strategic Program covering ∼427 deg2 for the cluster catalog. We detect the splashback feature from the projected cross-correlation measurements between the clusters and photometric galaxies over the wide redshift range, including for high-redshift clusters at 0.7 < zcl < 1.0, thanks to deep HSC images. We find that constraints from red galaxy populations only are more precise than those without any color cut, leading to 1σ precisions of ${\sim}15\%$ at 0.4 < zcl < 0.7 and 0.7 < zcl < 1.0. These constraints at 0.4 < zcl < 0.7 and 0.7 < zcl < 1.0 are more consistent with the model predictions (≲1σ) than their $20\%$ smaller values as suggested by the previous studies with the redMaPPer (∼2σ). We also investigate selection effects of the optical cluster-finding algorithms on the observed splashback features by creating mock galaxy catalogs from a halo occupation distribution model, and find such effects to be sub-dominant for the CAMIRA cluster-finding algorithm. We also find that the redMaPPer-like cluster-finding algorithm induces a smaller inferred splashback radius in our mock catalog, especially at lower richness, which can well explain the smaller splashback radii in the literature. In contrast, these biases are significantly reduced when increasing its aperture size. This finding suggests that aperture sizes of optical cluster finders that are smaller than splashback feature scales can induce significant biases on the inferred location of a splashback radius.

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