Ameliorating systematic uncertainties in the angular clustering of galaxies: a study using the SDSS-III

By A. Ross, Shirley Ho, A. Cuesta, R. Tojeiro, Will J. Percival, D. Wake, Karen L. Masters, R. Nichol, Adam D. Myers, F. Simoni and 22 more. 2011

166 citations recorded by the source corpus.

We investigate the effects of potential sources of systematic error on the angular and photometric redshift, zphot, distributions of a sample of redshift 0.4 0.5, the magnitude of the corrections we apply is greater than the statistical uncertainty in w(θ). The photometric redshift catalogue we produce will be made publicly available at http://portal.nersc.gov/project/boss/galaxy/photoz/.

Subfields: Astronomy and Astrophysics, Ecology, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/84850a33e9a8a969dfcbf7ba56aefc5bab4ead35

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Citations in the corpus

The WiggleZ Dark Energy Survey: mapping the distance-redshift relation with baryon acoustic oscillations (2011, background): “Ross et al. (2011) showed that apparent excess large-scale angular clustering measured in photometric LRG samples (Blake et al. 2007, Padmanabhan et al. 2007, Thomas et al. 2011) is a systematic effect imprinted by anti-correlations between faint stars and the galaxies, that can be corrected for by…”
The clustering of galaxies in the completed SDSS-III Baryon Oscillation Spectroscopic Survey: tomographic BAO analysis of DR12 combined sample in Fourier space (2016, methodology): “MNRAS 466, 762–779 (2017) More details of the weights are described in Ross et al. (2011), Anderson et al. (2014) and Ross et al. (2017).”
THE SDSS-IV EXTENDED BARYON OSCILLATION SPECTROSCOPIC SURVEY: QUASAR TARGET SELECTION (2015, background): “It is likely that certain regions of the SDSS imaging will have to be masked further for quasar clustering analyses, due to, e.g., areas around bright stars (both in WISE and SDSS imaging), or bad imaging fields (e.g. see Ross et al. 2011, and §6).”
The clustering of galaxies in the sdss-iii baryon oscillation spectroscopic survey: Baryon acoustic oscillations in the data release 9 spectroscopic galaxy sample (2012, background): “Ross et al. (2011) have presented a critical examination of the largescale angular clustering of CMASS target galaxies.”
Star-galaxy Classification Using Deep Convolutional Neural Networks (2016, background): “Ideally, however, the probability estimates themselves would be retained for all sources and used in subsequent analyses to improve or enhance a particular measurement (Ross et al. 2011; Seo et al. 2012).”
The clustering of galaxies in the completed SDSS-III Baryon Oscillation Spectroscopic Survey: observational systematics and baryon acoustic oscillations in the correlation function (2016, methodology): “There is a relationship between the observed density of BOSS CMASS galaxies and the local seeing due to the star galaxy separation cuts, as explained in Ross et al. (2011).”
The clustering of galaxies in the SDSS‐III Baryon Oscillation Spectroscopic Survey: cosmological implications of the large‐scale two‐point correlation function (2012, methodology): “Ross et al. (2011) found a 3.2% difference in the number density of CMASS targets between the NGC and SGC, which reduces to 0.3% when the offset of Schlafly & Finkbeiner (2011) is applied to the galaxies in the SGC before applying the CMASS selection criteria.”
Observational probes of cosmic acceleration (2012, methodology): “A more targeted version of this idea is to use angular templates to remove systematic errors with particular angular dependence, e.g., survey depth variations due to sky brightness, seeing, or stellar density (Ho et al., 2008; Ross et al., 2011, 2012).”
The clustering of galaxies in the SDSS-III DR9 Baryon Oscillation Spectroscopic Survey: constraints on primordial non-Gaussianity (2012, methodology): “In particular, the sample has been simulated with 600 mock galaxy catalogs (Manera et al. 2012) and the issues identified by Ross et al. (2011) have been addressed via the application of an un-biased weighting scheme (Ross et al. 2012).”
The SDSS-IV Extended Baryon Oscillation Spectroscopic Survey: Baryon Acoustic Oscillations at Redshift of 0.72 with the DR14 Luminous Red Galaxy Sample (2017, unknown): “In BOSS clustering studies, it was found that galaxy density is correlated with stellar density and seeing (Ross et al. 2011, 2012, 2017; Ho et al. 2012).”
The clustering of the SDSS-IV extended Baryon Oscillation Spectroscopic Survey DR14 quasar sample: measurement of the growth rate of structure from the anisotropic correlation function between redshift 0.8 and 2.2 (2018, methodology): “Following the approach of Ross et al. (2011, 2012, 2017) for BOSS analyses, they introduced a photometric weight according to the 5σ detection in magnitude for a point source, also called depth.”
Clustering of intermediate redshift quasars using the final SDSS III-BOSS sample (2015, background): “…and other authors for scales greater than∼ 25h−1Mpc is likely to be due to the difficulty in building a random catalog that fully mimics complex and subtle deviations in target density that manifest on large scales where the correlationamplitude is small (e.g., Ross et al. 2011; Ho et al. 2015).”
A 2 per cent distance to $z$=0.35 by reconstructing baryon acoustic oscillations - I. Methods and application to the Sloan Digital Sky Survey (2012, background): “There has been significant recent work understanding systematics in the source catalogue arising from star–galaxy separation and photometric zero-point errors (Ross et al. 2011, 2012).”
The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: analysis of potential systematics (2012, methodology): “This systematic relationship had little effect on the measured clustering in Ross et al. (2011b), as the pattern of seeing in the DR8 imaging is essentially random on large scales.”
THE SDSS-IV EXTENDED BARYON OSCILLATION SPECTROSCOPIC SURVEY: OVERVIEW AND EARLY DATA (2015, background): “These systematics have already been extensively studied within BOSS (Ross et al. 2011, 2012a; Ho et al. 2012; Pullen & Hirata 2013), and the greater volume and greater statistical power at large scales from eBOSS will place new demands on homogeneity of the target samples.”