Monday. Tuesday. Wednesday.
1603.05653
The origin of the $\alpha$-enhancement of massive galaxies
Segers, Schaye, Bower, Crain, Schaller, Theuns
Study the origin of the stellar alpha-element-to-iron abundance ratio, [alpha/Fe]*, of present-day central galaxies, using cosmological, hydrodynamical simulations from the Evolution and Assembly of GaLaxies and their Environments (EAGLE) project. For galaxies with stellar masses of M* > 1e10.5 Msun, [alpha/Fe]* increases with increasing galaxy stellar mass and age. These trends are in good agreement with observations of early-type galaxies, and are consistent with a `downsizing' galaxy formation scenario: more massive galaxies have formed the bulk of their stars earlier and more rapidly, hence from an ISM that was mostly alpha-enriched by massive stars. In the absence of feedback from AGN, however, [alpha/Fe]* in M*>1e10.5 Msun galaxies is roughly constant with stellar mass and decreases with mean stellar age, extending the trends found for lower-mass galaxies in both simulations with and without AGN. Conclude that AGN feedback can account for the alpha-enhancement of massive galaxies, as it suppresses their star formation, quenching more massive galaxies at earlier times, thereby preventing the Fe from longer-lived intermediate-mass stars (SNIa) from being incorporated into younger stars.
1603.05690
Selecting background galaxies in weak-lensing analysis of galaxy clusters
Formicola, Radovich, Mereghetti, Mazzotta, Grado, Giocoli
Present a new method to select the faint, BG galaxies used to derive the mass of galaxy clusters by WL. The method is based on the simultaneous analysis of the shear signal, that should be consistent with zero for the FG, unlensed galaxies, and of the colors of the galaxies: photometric data from the COSMic evOlution Survey are used to train the color selection. In order to validate this methodology, test it against a set of state-of-the-art image sims of mock galaxy clusters in different z [0.23-0.45] and mass [0.5-1.55e15 Msun] ranges, mimicking medium-deep multicolor imaging observations (e.g. SUBARU, LBT). The performance of the method in terms of contamination by unlensed sources is comparable to a selection based on photo-z, which however requires a good spectral coverage and its thus much more observationally demanding. The application of the method to simulations gives an average ratio between estimated and true asses of ~0.98±0.09. As a further test, finally apply the method to real data, and compare the results with other WL mass estimates in the literature: for this purpose, choose the cluster A2219 (z=0.228), for which multi-band (BVRi) data are publicly available.
1603.05790
Galaxy-galaxy lensing in the DES science verification data
Clampitt, et al
Present gg lensing results from 139 sq. deg. of DES SV data. The lens sample consists of red galaxies, known as redMaGiC, which are specifically selected to have low photo-z error and outlier rate. The lensing measurement has a total S/N of 29, including all lenses over a wide redshift range 0.2<z<0.8. Dividing the lenses into 3 redshift bins, find no evidence for evolution in the halo mass with redshift. Obtain consistent results for the lensing measurement with 2 independent shear pipelines, ngmix and im3shape. Perform a number of null tests on the shear and photometric z catalogs and quantify resulting systematic errors. Covariances from jackknife subsamples of the data are validated with a suite of 50 mock surveys. The results and systematics checks in this work provide a critical input for future cosmo and galaxy evolution studies with the DES data and redMaGiC galaxy samples. Fit a HOD model, and demonstrate that the data constrains the mean halo mass of the lens galaxies, despite strong degeneracies between individual HOD parameters.
1603.05833
MUSE observations of the lensing cluster Abell 1689
Bina, et al
Present the results obtained with MUSE on the core of A1689. Integral-field observations with MUSE provide a unique view of the central region, allowing a complete census on both cluster galaxies and lensed BG sources, identified based on their spectral features without preselection. Investigate the multiple-image configuration for all known sources in the field. Previous to the survey, 28 different lensed galaxies displaying 46 multiple images were known in the MUSE field of view, most of them based on photo-z and lensing considerations. Among them, spectroscopically confirm 12 images based on emission lines, corresponding to 7 different lensed galaxies between z=0.95 and 5.0. In addition, 14 new galaxies have been spectroscopically identified in this area, with redshifts ranging between 0.8 and 6.2. All background sources within the MUSE field of view correspond to multiple-imaged systems lensed by A1689. 17 sources in total are found at z>3 based on their Ly-a emission, with Ly-a luminosities ranging between 40.5<log(Lya)<42.5 after correction for magnification. This sample is particularly sensitive to the slope of the LF toward the faintest-end. The density of sources obtained in this survey is consistent with a steep value of alpha<-1.5, although this result still needs further investigation. These results illustrate the efficiency of MUSE in the characterization of lensing clusters on one hand, and the study of faint and distant populations of galaxies on the other hand. In particular, the current survey of lensing clusters should provide a unique census of sources responsible for the reionization in a representative volume at z~4-7.
1603.05981
Galaxy populations in the 26 most massive Galaxy Clusters in the South Pole Telescope SZE survey
Zenteno, Mohr, et al
Present a study of the optical properties of the 26 most massive galaxy clusters selected within the SPT-SZ 2500 deg2 survey. This SZ effect selected sample spans 0.10<z<1.13. Measure the galaxy radial profile, the LF, and the halo occupation number (HON) using optical data with a typical depth of m*+2. The stacked radial profiles are consistent with a NFW profile with a concentration of 2.84+0.40-0.37 for the red sequence and 2.36+0.38-0.35 for the total population. Stacking the data in multiple redshift bins shows a hint of redshift evolution in the concentration when both the total population is used, and when only RS galaxies are used (at 2.1 sigma and 2.8 sigma, respectively). The stacked LF shows a faint end slope alpha=-1.06+0.04-0.03 for the total and alpha=0.80+0.04-0.03 for the RS population. The redshift evolution of m* is found to be consistent with a passively evolving Composite Stellar Population (CSP) model. By adopting the CSP model predictions, explore the redshift evolution of the Schechter parameters alpha and phi*. Find alpha for the total population to be consistent with no evolution (0.3 sigma), while evidence of evolution for the red galaxies is mildly significant (1.1-2.1 sigma). The data show that the density phi*/E^2(z) decreases with redshift, in tension with the self-similar expectation at a 2.4 sigma level for the total population. The measured HON-mass relation has a lower normalization than previous studies at low z. Finally, the data support HON redshift evolution at a 2.1 sigma level, with clusters at higher z containing fewer galaxies per unit mass to m*+3 than their low-z counterparts.
1603.06773
A new model to predict weak-lensing peak counts III. Filtering technique comparisons
Lin, Kilbinger, Pires
3rd in a series of papers that develop a new and flexible model to predict WL peak counts, which have been shown to be very valuable non-Gaussian probe of cosmology. In this paper, compare the cosmo information extracted from WL peak counts using different filtering techniques of the galaxy shear data, including linear filtering with a Gaussian and 2 compensated filters (the starlet wavelet and the aperture mass), and the nonlinear filtering method MRLens. Present improvements to the model that count for realistic survey conditions, which are masks, shear-to-convergence transformations, and non-constant noise. Create simulated peak counts from the stochastic model, from which the constraints on the matter density Omega_m, the PS normalization sigma8, and the DE parameter W_0 are obtained. Use 2 methods for parameter inference, a coulee likelihood, and approximate Bayesian computation (ABC). Measure the contour width in the Omega_m sigma8 degeneracy direction and the figure of merit to compare constraints from different filtering techniques. Find that starlet filtering outperforms the Gaussian kernel, and that including peak counts from different scales helps to lift parameter degeneracies. Peak counts from different smoothing scales with a compensated filter show very little cross-correlation, and adding information from different scales can therefore strongly enhance the available information. Measuring peak counts separately from different scales yields tighter constraints than using a combined peak histogram from a single map that includes multi scale information. The results suggest that a compensated filter function with counts included separately from different smoothing scales yields the tightest constraints on cosmo parameters from WL peaks.