72 citations · 383 across the 20 of their papers we have counts for
22 papers
Stress-Testing Small-Scale Cosmological Inference With Empirical Galaxy--Halo Connection Models
Hanyue Wang, Kate Storey-Fisher, Philip Mansfield +4
Small-scale galaxy clustering contains substantial cosmological information, but extracting it reliably requires robust modeling of the galaxy--halo connection. In this work, we co…
Validation of the Hybrid Bias Expansion model for the galaxy bispectrum
Marcos Pellejero Ibáñez, Raul E. Angulo, Laila Linke +8
The Hybrid Bias Expansion model (also known as Hybrid Effective Field Theory, HEFT) provides a promising way to extend the range of validity of perturbative large-scale structure m…
Joint analysis of small-scale galaxy clustering and galaxy--galaxy lensing from BOSS galaxies
Wenhao Gao, Zhenjie Liu, Zhongxu Zhai +8
We present a joint analysis of galaxy clustering and galaxy--galaxy lensing measurements from BOSS galaxies using a simulation-based emulation method combined with a halo occupatio…
Improving constraints on primordial non-Gaussianity from Quaia with a new cosmological observable: angular redshift fluctuations
José Ramón Bermejo-Climent, Carlos Hernández-Monteagudo, Alba Crespo-Pérez +4
Angular redshift fluctuations (ARF) are a new cosmological observable, recently proposed in the literature. It measures the 2D angular deviations of the average redshift of a given…
Quasar clustering and duty cycle measurements at with the Gaia-unWISE Catalog
Mariona Giner Mascarell, Anna-Christina Eilers, Kate Storey-Fisher
We measure the two-point correlation function of a uniformly selected, all-sky sample of 1.3 million quasars with magnitudes from the Gaia--unWISE Quasar Catalog…
Fast and accurate Gaia-unWISE quasar mock catalogs from LPT and Eulerian bias
Francesco Sinigaglia, Francisco-Shu Kitaura, Mahlet Shiferaw +3
We present full-sky quasar spectrophotometric mock catalogs with smooth redshift evolution from to , tailored to analyze the Gaia-unWISE Quasar Catalog (Quaia)…
Constraints on primordial non-Gaussianity from Quaia
Giulio Fabbian, David Alonso, Kate Storey-Fisher +1
We analyse the large-scale angular clustering of quasars in the \gaia-\unwise quasar catalog, \quaia, and their cross-correlation with maps of the lensing convergence of the Cosmic…
Measurement of the power spectrum turnover scale from the cross-correlation between CMB lensing and Quaia
David Alonso, Oleksandr Hetmantsev, Giulio Fabbian +2
We use the projected clustering of quasars in the Gaia-unWISE quasar catalog, Quaia, and its cross-correlation with CMB lensing data from Planck, to measure the large-scale turnove…
Constraining the AGN formation channel for detected black hole binary mergers up to z=1.5 with the Quaia catalogue
Niccolò Veronesi, Sjoert van Velzen, Elena Maria Rossi +1
Statistical analyses based on the spatial correlation between the sky maps of Gravitational Wave (GW) events and the positions of potential host environments are a powerful tool to…
Growth history and quasar bias evolution at z < 3 from Quaia
G. Piccirilli, G. Fabbian, D. Alonso +4
We make use of the Gaia-Unwise quasar catalogue, Quaia, to constrain the growth history out to high redshifts from the clustering of quasars and their cross-correlation with maps o…
Constraining cosmology with the Gaia-unWISE Quasar Catalog and CMB lensing: structure growth
David Alonso, Giulio Fabbian, Kate Storey-Fisher +4
We study the angular clustering of Quaia, a Gaia- and unWISE-based catalog of over a million quasars with an exceptionally well-defined selection function. With it, we derive cosmo…
Quaia, the Gaia-unWISE Quasar Catalog: An All-Sky Spectroscopic Quasar Sample
Kate Storey-Fisher, David W. Hogg, Hans-Walter Rix +4
We present a new, all-sky quasar catalog, Quaia, that samples the largest comoving volume of any existing spectroscopic quasar sample. The catalog draws on the 6,649,162 quasar can…
Can we constrain structure growth from galaxy proper motions?
Iain Duncan, David Alonso, Anže Slosar +1
Galaxy peculiar velocities can be used to trace the growth of structure on cosmological scales. In the radial direction, peculiar velocities cause redshift space distortions, an es…
Aemulus : Precise Predictions for Matter and Biased Tracer Power Spectra in the Presence of Neutrinos
Joseph DeRose, Nickolas Kokron, Arka Banerjee +6
We present the Aemulus simulations: a suite of 150 -body simulations with a mass resolution of $3.51\times 10^{10} \frac{Ω_{cb}}{0.3} ~ h^{-1} M_{\o…
The Aemulus Project VI: Emulation of beyond-standard galaxy clustering statistics to improve cosmological constraints
Kate Storey-Fisher, Jeremy Tinker, Zhongxu Zhai +3
There is untapped cosmological information in galaxy redshift surveys in the non-linear regime. In this work, we use the AEMULUS suite of cosmological -body simulations to const…
From Data to Software to Science with the Rubin Observatory LSST
Katelyn Breivik, Andrew J. Connolly, K. E. Saavik Ford +97
The Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) dataset will dramatically alter our understanding of the Universe, from the origins of the Solar System to the…
The Aemulus Project V: Cosmological constraint from small-scale clustering of BOSS galaxies
Zhongxu Zhai, Jeremy L. Tinker, Arka Banerjee +6
We analyze clustering measurements of BOSS galaxies using a simulation-based emulator of two-point statistics. We focus on the monopole and quadrupole of the redshift-space correla…
Anomaly detection in Hyper Suprime-Cam galaxy images with generative adversarial networks
Kate Storey-Fisher, Marc Huertas-Company, Nesar Ramachandra +5
The problem of anomaly detection in astronomical surveys is becoming increasingly important as data sets grow in size. We present the results of an unsupervised anomaly detection m…
The Low Redshift Circumgalactic Medium in Simba
Sarah Appleby, Romeel Davé, Daniele Sorini +2
We examine the properties of the low-redshift circumgalactic medium (CGM) around star-forming and quenched galaxies in the Simba cosmological hydrodynamic simulations, focusing on…
Anomaly Detection in Astronomical Images with Generative Adversarial Networks
Kate Storey-Fisher, Marc Huertas-Company, Nesar Ramachandra +4
We present an anomaly detection method using Wasserstein generative adversarial networks (WGANs) on optical galaxy images from the wide-field survey conducted with the Hyper Suprim…
Two-point statistics without bins: A continuous-function generalization of the correlation function estimator for large-scale structure
Kate Storey-Fisher, David W. Hogg
The two-point correlation function (2pcf) is the key statistic in structure formation; it measures the clustering of galaxies or other density field tracers. Estimators of the 2pcf…
Detecting outliers in astronomical images with deep generative networks
Berta Margalef-Bentabol, Marc Huertas-Company, Tom Charnock +5
With the advent of future big-data surveys, automated tools for unsupervised discovery are becoming ever more necessary. In this work, we explore the ability of deep generative net…