Mariangela Lisanti

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Princeton University

United States

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About

Mariangela Lisanti is a Professor at Princeton University, located in the United States. Her research areas encompass cosmology, astrophysics, and dark matter, with a focus on big bang nucleosynthesis, cosmic microwave background analysis, and the dynamics of stellar halos. Recent articles include works on the DREAMS project, axion pulsars, and the effects of atomic dark matter on isolated dwarf galaxies.

Recent Grants

Grant: Close

Multifaceted Probes of the Dark Universe

Open Date: 2018-01-01

Close Date:

Grant: Close

Confronting the Dark Matter Paradigm: New Approaches for Direct and Indirect Detection

Open Date: 2017-10-01

Close Date:

Articles (24)

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2025

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2022

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2022

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2022

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2021

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2021

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2020

Collaborators (12)

Joshua Ruderman

Assistant Professor

New York University

UNITED STATES

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Mikhail Medvedev

Professor

University of Kansas

UNITED STATES

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David Curtin

Assistant Professor

University of Toronto

CANADA

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Nora Shipp

Assistant Professor

University of Washington

UNITED STATES

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Arya Farahi

Assistant Professor

University of Texas at Austin

UNITED STATES

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Junyi Lee

Institute of Materials Research and Engineering

SINGAPORE

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Jacob Nibauer

Princeton University

UNITED STATES

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Allison Strom

Assistant Professor

Northwestern University

UNITED STATES

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Mark Vogelsberger

Massachusetts Institute of Technology

UNITED STATES

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Mithi Alexa de los Reyes

Assistant Professor

Amherst College

UNITED STATES

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Lina Necib

UNITED STATES

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Melissa Ness

Australian National University

AUSTRALIA

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Mariangela Lisanti

Research Interests

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About

Recent Grants

Articles (24)

Aggressively Dissipative Dark Dwarfs: The Effects of Atomic Dark Matter on the Inner Densities of Isolated Dwarf Galaxies

Cosmological parameter estimation with a joint-likelihood analysis of the cosmic microwave background and big bang nucleosynthesis

Fast, differentiable, and extensible big bang nucleosynthesis package

StreamGen: Connecting Populations of Streams and Shells to Their Host Galaxies

Cosmological Simulations of Stellar Halos with Gaia Sausage–Enceladus Analogs: Two Sausages, One Bun?

Introducing the DREAMS Project: DaRk mattEr and Astrophysics with Machine Learning and Simulations

Axion pulsarscope

Stellar Mergers or Truly Young? Intermediate-age Stars on Highly Radial Orbits in the Milky Way’s Stellar Halo

Dissipative Dark Substructure: The Consequences of Atomic Dark Matter on Milky Way Analog Subhalos

Slant, Fan, and Narrow: The Response of Stellar Streams to a Tilting Galactic Disk

Probabilistic inference of the structure and orbit of Milky Way satellites with semi-analytic modelling

Numerical challenges in modeling gravothermal collapse in Self-Interacting Dark Matter halos

Laboratory Constraints on the Neutron-Spin Coupling of feV-Scale Axions

Revealing the Milky Way’s most recent major merger with a Gaia EDR3 catalogue of machine-learned line-of-sight velocities

Orbital evolution of satellite galaxies in self-interacting dark matter models

A preference for cold dark matter over Superfluid Dark Matter in local Milky Way data

High-resolution Chemical Abundances of the Nyx Stream

Simulating Atomic Dark Matter in Milky Way Analogs

Author Correction: Evidence for a vast prograde stellar stream in the solar vicinity

Joint Cosmic Microwave Background and Big Bang Nucleosynthesis Constraints on Light Dark Sectors with Dark Radiation

A critical assessment of solutions to the galaxy diversity problem

Machine Learning the Sixth Dimension: Stellar Radial Velocities from 5D Phase-space Correlations

Harnessing the Population Statistics of Subhalos to Search for Annihilating Dark Matter

Evidence for a vast prograde stellar stream in the solar vicinity

Collaborators (12)

Joshua Ruderman

Mikhail Medvedev

David Curtin

Nora Shipp

Arya Farahi

Junyi Lee

Jacob Nibauer

Allison Strom

Mark Vogelsberger

Mithi Alexa de los Reyes

Lina Necib

Melissa Ness

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