Extracting the global signal from 21-cm fluctuations: The multi-tracer approach

Monthly Notices of the Royal Astronomical Society Oxford University Press (2019)

Authors:

A Fialkov, R Barkana, Matthew Jarvis

Abstract:

The multi-tracer technique employs a ratio of densities of two differently biased galaxy samples that trace the same underlying matter density field, and was proposed to alleviate the cosmic variance problem. Here we propose a novel application of this approach, applying it to two different tracers one of which is the 21-cm signal of neutral hydrogen from the epochs of reionization and comic dawn. The second tracer is assumed to be a sample of high-redshift galaxies, but the approach can be generalized and applied to other high-redshift tracers. We show that the anisotropy of the ratio of the two density fields can be used to measure the sky-averaged 21-cm signal, probe the spectral energy distribution of radiative sources that drive this signal, and extract large-scale properties of the second tracer, e.g., the galaxy bias. Using simulated 21-cm maps and mock galaxy samples, we find that the method works well for an idealized galaxy survey. However, in the case of a more realistic galaxy survey which only probes highly biased luminous galaxies, the inevitable Poisson noise makes the reconstruction far more challenging. This difficulty can be mitigated with the greater sensitivity of future telescopes along with larger survey volumes.

The data analysis pipeline for the SDSS-IV MaNGA IFU galaxy survey: Overview

Astronomical Journal American Astronomical Society 158:6 (2019) 231

Authors:

KB Westfall, Michele Cappellari, MA Bershady

When galaxies align: intrinsic alignments of the progenitors of elliptical galaxies in the Horizon-AGN simulation

Monthly Notices of the Royal Astronomical Society Oxford University Press 491:January 2020 (2019) 4057-4068

Authors:

James Bate, Nora Elisa Chisari, Sandrine Codis, Garreth Martin, Yohan Dubois, Julien Devriendt, Christophe Pichon, Adrianne Slyz

Abstract:

Elliptical galaxies today appear aligned with the large-scale structure of the Universe, but it is still an open question when they acquire this alignment. Observational data is currently insufficient to provide constraints on the time evolution of intrinsic alignments, and hence existing models range from assuming that galaxies gain some primordial alignment at formation, to suggesting that they react instantaneously to tidal interactions with the large-scale structure. Using the cosmological hydrodynamical simulation Horizon-AGN, we measure the relative alignments between the major axes of galaxies and eigenvectors of the tidal field as a function of redshift. We focus on constraining the time evolution of the alignment of the main progenitors of massive $z=0$ elliptical galaxies, the main weak lensing contaminant at low redshift. We show that this population, which at $z=0$ has a stellar mass above $10^{10.4}$ M$_\odot$, transitions from having no alignment with the tidal field at $z=3$, to a significant alignment by $z=1$. From $z=0.5$ they preserve their alignment at an approximately constant level until $z=0$. We find a mass-dependence of the alignment signal of elliptical progenitors, whereby ellipticals that are less massive today ($10^{10.4}<M/{\rm M}_\odot<10^{10.7}$) do not become aligned till later redshifts ($z<2$), compared to more massive counterparts. We also present an extended study of progenitor alignments in the parameter space of stellar mass and galaxy dynamics, the impact of shape definition and tidal field smoothing.

Star-gas misalignment in galaxies: I. The properties of galaxies from the Horizon-AGN simulation and comparisons to SAMI

(2019)

Authors:

Donghyeon J Khim, Sukyoung K Yi, Yohan Dubois, Julia J Bryant, Christophe Pichon, Scott M Croom, Joss Bland-Hawthorn, Sarah Brough, Hoseung Choi, Julien Devriendt, Brent Groves, Matt S Owers, Samuel N Richards, Jesse van de Sande, Sarah M Sweet

Complete census of massive slow rotators in ten large galaxy clusters

(2019)

Authors:

Mark T Graham, Michele Cappellari, Matthew A Bershady, Niv Drory