Search arXiv⌕ Search

arXiv · 1402.1342

The Cross-correlation of MgII Absorption and Galaxies in BOSS

Abstract

We present a measurement of the cross-correlation of MgII absorption and massive galaxies, using the DR11 main galaxy sample of the Baryon Oscillation Spectroscopic Survey of SDSS-III (CMASS galaxies), and the DR7 quasar spectra of SDSS-II. The cross-correlation is measured by stacking quasar absorption spectra shifted to the redshift of galaxies that are within a certain impact parameter bin of the quasar, after dividing by a quasar continuum model. This results in an average MgII equivalent width as a function of impact parameter from a galaxy, ranging from 50 kpc to more than 10 Mpc in proper units, which includes all MgII absorbers. We show that special care needs to be taken to use an unbiased quasar continuum estimator, to avoid systematic errors in the measurement of the mean stacked MgII equivalent width. The measured cross-correlation follows the expected shape of the galaxy correlation function, although measurement errors are large. We use the cross-correlation amplitude to derive the bias factor of MgII absorbers, finding bMgII = 2.33 \pm? 0.19, where the error accounts only for the statistical uncertainty in measuring the mean equivalent width. This bias factor is larger than that obtained in previous studies and may be affected by modeling uncertainties that we discuss, but if correct it suggests that MgII absorbers at redshift z \simeq 0:5 are spatially distributed on large scales similarly to the CMASS galaxies in BOSS. Keywords: galaxies: haloes, galaxies: formation, quasars: absorption lines, large-scale structure of universe

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Ignasi Pérez-Ràfols, Jordi Miralda-Escudé, Britt Lundgren, Jian Ge, Patrick Petitjean, Donald P. Schneider, Donald G. York, Benjamin A. Weaver. 2014-12-22. The Cross-correlation of MgII Absorption and Galaxies in BOSS. https://doi.org/10.1093/mnras%2Fstu2645

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

Don't miss the forest for the trees: the Lyman alpha forest power spectrum in effective field theory

We derive an effective field theory (EFT) for cosmological Lyman alpha forest fluctuations valid for the power spectrum at the one-loop order. The ``bottom-up'' EFT expansion at the level of the transmitted flux is identical to the line-of-sight dependent bias model first derived by Desjacques et al. We confirm this result by a ``top-down'' derivation based on the exponential map of the optical depth field. Specifically, we show that the combination of the exponential map and conditions of renormalizability generates the same EFT expansion as the ``bottom-up'' approach. In passing, we point out inconsistencies of the tree-level perturbative expansion of the exponential map without counterterms. To facilitate practical applications, we generalize the FFTLog method for efficient calculations of one-loop integrals from new line-of-sight dependent operators. Finally, we compare the one-loop EFT model against data from the Sherwood hydrodynamic simulation. The theory fits the data with sub percent accuracy up to $k= $ 3 $h$Mpc$^{-1}$ at $z= 2.8$ for both 3D and 1D correlations. Our model can be readily used for cosmological full-shape analyses of Lyman alpha forest data.

astro-ph.CO↗

A Morphology-Based Cross-Tracer Ratio for Robust BAO Tests

We use the Cross-Tracer Clustering Ratio (CTCR) acoustic response estimator, a new probe of morphology-dependent galaxy clustering in photometric surveys. CTCR is the ratio of the auto-power spectrum of early-type galaxies (ETGs) to their cross-power spectrum with late-type galaxies (LTGs). In the matched-kernel deterministic linear-bias limit the CTCR cancels the complete projected matter spectrum, including the baryon acoustic oscillation (BAO) wiggles, leaving only the relative linear bias. This makes the ratio uniquely sensitive to physics beyond deterministic linear bias: any residual acoustic structure in the CTCR must arise from a difference between the normalised non-linear responses of the two tracers. We, for the first time, exploit this property to model the measured ratio as a smooth scale-dependent baseline multiplied by a scale-dependent acoustic template, and constrain the amplitude $A_{\rm morph}$ of the differential acoustic response jointly with the BAO dilation parameter $α$. Applying the estimator to nine bins of the DESI Legacy Survey Data Release 8 spanning $0.1 < z < 0.9$, we obtain$α= 0.9997 \pm 0.0383$, consistent with the Planck 2018 $Λ$CDM prediction, and $A_{\rm morph} = 0.369 \pm 0.307$, consistent with zero. A Bayesian model comparison yields at most a 2.6$σ$ preference for the acoustic template over a smooth-only baseline. The estimator is model-independent, requires no external calibration of the absolute bias, and is directly applicable to the wide-field imaging surveys that will define the next decade of cosmology. It offers a new route to testing halo occupation and assembly-bias models, and an independent, systematics-robust cross-check of BAO measurements from spectroscopic surveys.

astro-ph.CO↗

Hostbusters: constraining $H_0$ and binary formation channels through gravitational-wave host galaxy associations

Gravitational-wave dark sirens can be combined with galaxy catalogues to provide a measurement of the Hubble constant. This inference requires assigning each potential host galaxy a probability of hosting a merger, but the appropriate weighting is uncertain because the binary merger rate may trace different galaxy properties, such as stellar mass or star formation rate, depending on the underlying formation channel. We introduce a flexible framework in which the dark-siren population is described as a mixture of two host-weighting prescriptions, with the mixing fraction inferred jointly with $H_0$. These components may be interpreted as subpopulations associated with distinct binary-formation environments. Using simulated catalogues, we show that marginalising over uncertainty in the host-population mixture preserves unbiased constraints on $H_0$, while allowing the gravitational-wave data to constrain the relative contribution of the two host populations. In particular, an A#-like detector network with $\mathcal{O}(10^3)$ dark sirens may be able to exclude scenarios in which the host population traces only one of the two weighting prescriptions. Dark-siren analyses may therefore provide robust cosmological measurements and new information about how merging compact binaries trace the galaxy population.

astro-ph.CO↗