Camille Avestruz

Assistant Professor

University of Michigan

United States

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About

Camille Avestruz is an Assistant Professor at the University of Michigan, USA. Her research primarily focuses on astrophysics, with recent articles addressing topics such as cosmic reionization, weak lensing, and continuum reverberation mapping. She employs advanced statistical and computational techniques to analyze astronomical data and investigate the properties of galaxies and their environments.

Articles (17)

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2025

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2024

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2022

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2021

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2021

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2021

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2020

Collaborators (13)

B Nord

University of Chicago

UNITED STATES

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Université Paris Cité

FRANCE

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Alessandro Paiella

Sapienza University of Rome

ITALY

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Kuan Wang

University of Texas at Austin

UNITED STATES

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Leiden University

NETHERLANDS

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Camille Avestruz

Research Interests

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About

Articles (17)

Cosmic Reionization on Computers: The Evolution of the Ionizing Background and Mean Free Path

Neural Posterior Estimation for Cataloging Astronomical Images with Spatially Varying Backgrounds and Point Spread Functions

Weak lensing mass-richness relation of redMaPPer clusters in LSST DESC DC2 simulations

Merger Response of Halo Anisotropy Properties

Compressed baryon acoustic oscillation analysis is robust to modified-gravity models

A 350 GHz array of LEKIDs for balloon-borne CMB observations

Fast and Flexible Inference Framework for Continuum Reverberation Mapping Using Simulation-based Inference with Deep Learning

On the Physical Nature of Lyα Transmission Spikes in High-redshift Quasar Spectra

Subhalos in Galaxy Clusters: Coherent Accretion and Internal Orbits

The beyond-halo mass effects of the cosmic web environment on galaxies

MultiCAM: a multivariable framework for connecting the mass accretion history of haloes with their properties

Can Cooling and Heating Functions Be Modeled with Homogeneous Radiation Fields?

Brightest cluster galaxies trace weak lensing mass bias and halo triaxiality in the three hundred project

CLMM: a LSST-DESC cluster weak lensing mass modeling library for cosmology

shaping the gas: understanding gas shapes in dark matter haloes with interpretable machine learning

DeepSZ: identification of Sunyaev–Zel’dovich galaxy clusters using deep learning

Cosmic Reionization On Computers: The Galaxy–Halo Connection between 5 ≤ z ≤ 10

Collaborators (13)

B Nord

Felipe Andrade Oliveira

Jeffrey Regier

Arya Farahi

Daisuke Nagai

Dragan Huterer

Marina Ricci

Alessandro Paiella

Kuan Wang

Tianqing Zhang

Huanqing Chen

Paolo de Bernardis

Mijin Yoon

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