Yao-Yuan Mao

Assistant Professor

University of Utah

United States

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About

Yao-Yuan Mao is an Assistant Professor at the University of Utah, USA. His research primarily focuses on galaxy formation, dwarf active galactic nuclei, and the properties of low-mass galaxies, as reflected in his recent publications. Notable works include studies on the correlation between halo abundance and properties, as well as predictions related to the detectability of Milky Way satellite galaxies.

Articles (20)

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2025

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2021

Collaborators (16)

Annika Peter

Professor

Ohio State University

UNITED STATES

Yao-Yuan Mao

Research Interests

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Articles (20)

Erratum: “Tripling the Census of Dwarf AGN Candidates Using DESI Early Data” (2025, ApJ, 982, 10)

Tripling the Census of Dwarf AGN Candidates Using DESI Early Data

Stellar Mass Calibrations for Local Low-mass Galaxies

Correlation Between Outlying Halo Abundance and Host Halo Properties

Predictions for the Detectability of Milky Way Satellite Galaxies and Outer-Halo Star Clusters with the Vera C. Rubin Observatory

The Impact of Galaxy-halo Size Relations on Galaxy Clustering Signals

Temporal Evolution of the Radial Distribution of Milky Way Satellite Galaxies

SAGAbg. II. The Low-mass Star-forming Sequence Evolves Significantly between 0.05 < z < 0.21

The SAGA Survey. III. A Census of 101 Satellite Systems around Milky Way–mass Galaxies

The SAGA Survey. IV. The Star Formation Properties of 101 Satellite Systems around Milky Way–mass Galaxies

Pegasus W: An Ultrafaint Dwarf Galaxy Outside the Halo of M31 Not Quenched by Reionization

Target Selection and Sample Characterization for the DESI LOW-Z Secondary Target Program

The Aemulus Project. V. Cosmological Constraint from Small-scale Clustering of BOSS Galaxies

Symphony: Cosmological Zoom-in Simulation Suites over Four Decades of Host Halo Mass

Milky Way Satellite Census. IV. Constraints on Decaying Dark Matter from Observations of Milky Way Satellite Galaxies

Evidence of galaxy assembly bias in SDSS DR7 galaxy samples from count statistics

Extending the SAGA Survey (xSAGA). I. Satellite Radial Profiles as a Function of Host-galaxy Properties

Photometric redshifts from SDSS images with an interpretable deep capsule network

Using Maximum Circular Velocity in Halo Occupation Distribution Models to Predict Galaxy Clustering

A composite likelihood approach for inference under photometric redshift uncertainty

Collaborators (16)

Annika Peter

David Shih

John Moustakas

Segev BenZvi

Burçin Mutlu-Pakdil

Keith Bechtol

Markus Michael Rau

Dragan Huterer

Risa Wechsler

Andrew Zentner

Mithi Alexa de los Reyes

Kuan Wang

Joshua Peek

Matthew R Buckley

Marla Geha

Malgorzata Siudek

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