Wu – Publications

Astrophysics Data System

Galaxy clusters

Dark Energy Survey Year 1 Clusters are Consistent with Planck. Salcedo, Wu, et al. (2023)
Not empty enough: a local void cannot solve the H0 tension. Huterer & Wu (2023)
Buzzard to Cardinal: Improved Mock Catalogs for Large Galaxy Surveys. To et al. (2023)
LINNA: Likelihood Inference Neural Network Accelerator. To et al. (2023), JCAP
Self-calibrating optical galaxy cluster selection bias using cluster, galaxy, and shear cross-correlations. Zeng et al. (2023), MNRAS
Optical selection bias and projection effects in stacked galaxy cluster weak lensing. Wu et al. (2022), MNRAS
Incorporating galaxy cluster triaxiality in stacked cluster weak lensing analyses. Zhang et al. (2022), MNRAS
Exploring the contamination of the DES-Y1 cluster sample with SPT-SZ selected clusters. Grandis et al. (2021), MNRAS
Dark Energy Survey Year 1 Results: Cosmological Constraints from Cluster Abundances, Weak Lensing, and Galaxy Correlations. To et al. (2021), PRL
Combination of cluster number counts and two-point correlations: validation on mock Dark Energy Survey. To et al. (2021), MNRAS
Cosmology with Galaxy Cluster Weak Lensing: Statistical Limits and Experimental Design. Wu et al. (2021), ApJ
Probing galaxy evolution in massive clusters using ACT and DES: splashback as a cosmic clock. Adhikari et al. (2020), MNRAS submitted
Illuminating Dark Matter Halo Density Profiles Without Subhaloes. Fielder et al. (2020), MNRAS
Dark Energy Survey Year 1 Results: Cosmological Constraints from Cluster Abundances and Weak Lensing. DES Collaboration (2020), MNRAS
Cosmology with Stacked Cluster Weak Lensing and Cluster-Galaxy Cross-Correlations. Salcedo et al. (2020), MNRAS
Covariance matrices for galaxy cluster weak lensing: from virial regime to uncorrelated large-scale structure. Wu et al. (2019), MNRAS
Measurement of the splashback feature around SZ-selected Galaxy clusters with DES, SPT, and ACT. Shin et al. (2019), MNRAS
Substructure and merger detection in resolved NIKA Sunyaev-Zel'dovich images of distant clusters. Adam et al. (2018), A&A
RHAPSODY-G simulations - I. The cool cores, hot gas and stellar content of massive galaxy clusters. Hahn et al. (2017), MNRAS
RHAPSODY-G simulations - II. Baryonic growth and metal enrichment in massive galaxy clusters. Martizzi et al. (2016), MNRAS
RHAPSODY-G simulations: galaxy clusters as baryonic closed boxes and the covariance between hot gas and galaxies. Wu et al. (2015), MNRAS
Virial scaling of galaxies in clusters: bright to faint is cool to hot. Wu et al. (2013), MNRAS
Halo-to-halo Similarity and Scatter in the Velocity Distribution of Dark Matter. Mao et al. (2013), ApJ
Rhapsody. II. Subhalo Properties and the Impact of Tidal Stripping From a Statistical Sample of Cluster-size Halos. Wu et al. (2013), ApJ
Rhapsody. I. Structural Properties and Formation History from a Statistical Sample of Re-simulated Cluster-size Halos. Wu et al. (2013), ApJ
Gravitationally Consistent Halo Catalogs and Merger Trees for Precision Cosmology. Behroozi et al. (2013), ApJ
The ROCKSTAR Phase-space Temporal Halo Finder and the Velocity Offsets of Cluster Cores. Behroozi, Wechsler and Wu (2013), ApJ
Extrinsic Sources of Scatter in the Richness-mass Relation of Galaxy Clusters. Rozo et al. (2011), ApJ
Stacked Weak Lensing Mass Calibration: Estimators, Systematics, and Impact on Cosmological Parameter Constraints. Rozo, Wu and Schmidt (2011), ApJ
Annealing a Follow-up Program: Improvement of the Dark Energy Figure of Merit for Optical Galaxy Cluster Surveys. Wu, Rozo and Wechsler (2010), ApJ
The Impact of Theoretical Uncertainties in the Halo Mass Function and Halo Bias on Precision Cosmology. Wu, Zentner and Wechsler (2010), ApJ
The Effects of Halo Assembly Bias on Self-Calibration in Galaxy Cluster Surveys. Wu, Rozo and Wechsler (2008), ApJ

Large-scale structure

Exploiting Non-linear Scales in Galaxy-Galaxy Lensing and Galaxy Clustering: A Forecast for the Dark Energy Survey. Salcedo et al. (2021), MNRAS
Cosmology with galaxy-galaxy lensing on non-perturbative scales: Emulation method and application to BOSS LOWZ. Wibking et al. (2020), MNRAS
The Quest for the Inflationary Spectral Runnings in the Presence of Systematic Errors. Li et al. (2018), ApJ
Sample variance in the local measurements of the Hubble constant. Wu & Huterer (2017), MNRAS
Growth of cosmic structure: Probing dark energy beyond expansion. Huterer et al. (2015), APh
The impact of systematic uncertainties in N-body simulations on the precision cosmology from galaxy clustering: a halo model approach. Wu & Huterer (2013), MNRAS

Galaxy evolution

Interpreting the cosmic far-infrared background anisotropies using a gas regulator model. Wu et al. (2018), MNRAS
The impact of clustering and angular resolution on far-infrared and millimeter continuum observations. Bethermin, Wu et al. (2017), A&A
Optimizing future experiments of cosmic far-infrared background: a principal component approach. Wu & Doré (2017), MNRAS
A minimal empirical model for the cosmic far-infrared background anisotropies. Wu & Doré (2017), MNRAS

Astrophysics surveys

Cosmology with the Roman Space Telescope - synergies with the Rubin Observatory Legacy Survey of Space and Time. Eifler et al. (2021), MNRAS
Cosmology with the Roman Space Telescope - multiprobe strategies. Eifler al. (2020), MNRAS, submitted
Cosmic Dawn Intensity Mapper. Cooray et al. (2019), Astro2020
Partnering space and ground observatories - Synergies in cosmology from LSST and WFIRST. Eifler et al. (2019), Astro2020
Tomography of the Cosmic Dawn and Reionization Eras with Multiple Tracers. Chang et al. (2019), Astro2020
CDIM: Cosmic Dawn Intensity Mapper Final Report. Cooray et al. (2019), arXiv
The Wide Field Infrared Survey Telescope: 100 Hubbles for the 2020s. Akeson et al. (2019), arXiv
WFIRST: The Essential Cosmology Space Observatory for the Coming Decade. Doré et al. (2019), Astro2020
WFIRST Science Investigation Team "Cosmology with the High Latitude Survey" Annual Report 2017. Doré et al. (2018), arXiv
The Dark Energy Survey: Data Release 1. Abbott et al. (2018), ApJS
The Dark Energy Spectrometer (DESpec): A Multi-Fiber Spectroscopic Upgrade of the Dark Energy Camera and Survey for the Blanco Telescope. Abdalla et al. (2012), arXiv