Publications

25 peer-reviewed and preprint publications spanning cosmology, dark matter, machine learning, and high-energy astrophysics. Research ranges from foundational theory — dark energy models, modified gravity, dark matter condensates — to data-driven methods including normalizing flows for Bayesian inference, simulation-based analysis of galaxy surveys (DESI, BOSS, SDSS), and deep learning for gravitational lensing. Author order follows the particle physics convention (alphabetical) unless marked with *.

25
Papers
10
Lead Author
1,129+
Citations
15
h-index

Citation Summary

2025

Kinetic Mixing and the Phantom Illusion: Axion-Dilaton Quintessence in Light of DESI DR2

Lead Author

M. W. Toomey, E. Hughes, M. M. Ivanov, J. M. Sullivan

Under review at PRD · 6 citations

New axion-dilaton quintessence model that naturally explains DESI DR2 phantom crossing without fine-tuning.

How Theory-Informed Priors Affect DESI Evidence for Evolving Dark Energy

Lead Author

M. W. Toomey, G. Montefalcone, E. McDonough, K. Freese

Under review at PRD · 19 citations

Shows that physically motivated priors from normalizing flows significantly alter DESI evidence for evolving dark energy.

Kinetically Coupled Dark Matter Condensates

Lead Author

M. W. Toomey, S. M. Koushiappas, S. Alexander

Under review at PRD · 4 citations

Derives new dark matter condensate model with kinetic coupling that produces novel substructure signatures.

Learning Theory Informed Priors for Bayesian Inference: A Case Study with Early Dark Energy

Lead Author

M. W. Toomey, M. M. Ivanov, E. McDonough

Physical Review D 112 (2025) 103539 · 4 citations

Developed normalizing flow framework to learn physically motivated priors, applied to early dark energy parameter estimation.

Heterotic Warm Inflation

Major Contribution

A. Berera, H. Bernardo, S. Brahma, J. Calderón-Figueroa, R. O. Ramos, M. W. Toomey

Under review at JHEP · 1 citations

New warm inflation mechanism from heterotic string theory with natural dissipation from gauge fields.

Domain Adaptation in Application to Gravitational Lens Finding

Major Contribution

H. Parul, S. Gleyzer, P. Reddy, M. W. Toomey

The Astrophysical Journal 990 (2025) 47 · 2 citations

Mentored student project combining domain adaptation with equivariant networks for real observational lens detection.

Full-Shape Analysis with Simulation-Based Priors: Cosmological Parameters and the Structure Growth Anomaly

Major Contribution

M. M. Ivanov, A. Obuljen, C. Cuesta-Lazaro, M. W. Toomey

Physical Review D 111 (2025) 063548 · 52 citations

Simulation-based priors from normalizing flows applied to full-shape galaxy clustering analysis, constraining the S₈ growth anomaly.

Fundamental Physics with the Lyman-Alpha Forest

Major Contribution

M. M. Ivanov, M. W. Toomey, N. G. Karaçaylı

Physical Review Letters 134 (2025) 091001 · 32 citations

First effective field theory analysis of the Lyman-alpha forest from SDSS, constraining neutrino masses and structure growth.

2024

The Millennium and Astrid Galaxies in Effective Field Theory

Major Contribution

M. M. Ivanov, C. Cuesta-Lazaro, A. Obuljen, M. W. Toomey, Y. Ni, S. Bose, et al.

Under review at PRD · 23 citations

Field-level comparison of EFT galaxy models against hydrodynamic simulations (Millennium-TNG, Astrid).

DiffLense: A Conditional Diffusion Model for Super-Resolution of Gravitational Lensing Data

Major Contribution

P. Reddy, M. W. Toomey, H. Parul, S. Gleyzer

Machine Learning: Science and Technology 5 (2024) 035076 · 4 citations

Mentored development of a conditional diffusion model that upscales lensing images from Subaru to Hubble quality.

Full-Shape Analysis with Simulation-Based Priors: Constraints on Single Field Inflation from BOSS

Major Contribution

M. M. Ivanov, C. Cuesta-Lazaro, S. Mishra-Sharma, A. Obuljen, M. W. Toomey

Physical Review D 110 (2024) 063538 · 57 citations

Simulation-based inference pipeline constraining inflationary physics from BOSS galaxy survey data.

Observational Constraints on Early Dark Energy

Major Contribution

E. McDonough, J. C. Hill, M. M. Ivanov, A. La Posta, M. W. Toomey

International Journal of Modern Physics D 33 (2024) 2430003 · 50 citations

Comprehensive review of observational constraints on early dark energy models from CMB, LSS, and BAO data.

2023

Quantum Gravity Signatures in the Late Universe

Lead Author

M. W. Toomey, S. M. Koushiappas, B. Alexandre, J. Magueijo

Physical Review D 108 (2023) 083507 · 1 citations

Derives late-universe observational signatures of quantum gravity effects on dark energy equation of state.

Addressing the Hubble and S₈ Tensions with a Kinetically Mixed Dark Sector

Lead Author

S. Alexander, H. Bernardo, M. W. Toomey

JCAP 03 (2023) 037 · 34 citations

Proposed a kinetically mixed dark sector model that simultaneously addresses both the Hubble and S₈ tensions.

Domain Adaptation for Simulation-Based Dark Matter Searches with Strong Gravitational Lensing

Lead Author

S. Alexander, S. Gleyzer, P. Reddy, M. Tidball, M. W. Toomey

The Astrophysical Journal 954 (2023) 28 · 12 citations

Led development of domain adaptation techniques bridging simulated and real lensing data for dark matter searches.

2022

A Minimal Extension of BF-Coupled Gravity: Black Holes and Cosmology

Lead Author

S. Alexander, S. Clark, G. Herczeg, M. W. Toomey

Physical Review D 105 (2022) 044001 · 4 citations

Derived black hole and cosmological solutions in a novel BF-coupled extension of general relativity.

2021

The Autodidactic Universe

Major Contribution

S. Alexander, W. J. Cunningham, J. Lanier, L. Smolin, S. Stanojevic, M. W. Toomey, D. Wecker

Preprint · 12 citations

Collaboration with Jaron Lanier and Lee Smolin at Microsoft Research exploring self-learning cosmological dynamics.

Deep Learning the Astrometric Signature of Dark Matter Substructure

Major Contribution

K. Vattis, M. W. Toomey, S. M. Koushiappas

Physical Review D 104 (2021) 123541 · 12 citations

Applied deep learning to detect dark matter substructure from stellar astrometric perturbations.

The Physics of Machine Learning: An Intuitive Introduction for the Physical Scientist

Major Contribution

S. Alexander, S. Bawabe, B. Friedman-Shaw, M. W. Toomey

Preprint

Pedagogical review connecting machine learning concepts to their roots in statistical physics, co-written with mentored students.

2020

Constraining Early Dark Energy with Large-Scale Structure

Major Contribution

M. M. Ivanov, E. McDonough, J. C. Hill, M. Simonović, M. W. Toomey, S. Alexander, M. Zaldarriaga

Physical Review D 102 (2020) 103502 · 280 citations

First large-scale structure constraints on early dark energy using EFT of LSS applied to BOSS data.

Early Dark Energy Does Not Restore Cosmological Concordance

Major Contribution

J. C. Hill, E. McDonough, M. W. Toomey, S. Alexander

Physical Review D 102 (2020) 043507 · 367 citations

Demonstrated that early dark energy resolves the Hubble tension but introduces new tensions with LSS and CMB lensing.

Gamma-Ray Counterparts of 2WHSP BL Lac Objects as Possible Signatures of UHECR Emission

Lead Author

M. W. Toomey, F. Oikonomou, K. Murase

Monthly Notices of the Royal Astronomical Society 497 (2020) 2455 · 6 citations

Identified gamma-ray blazar counterparts as potential sources of ultra-high-energy cosmic rays.

Deep Learning the Morphology of Dark Matter Substructure

Lead Author

S. Alexander, S. Gleyzer, E. McDonough, M. W. Toomey, E. Usai

The Astrophysical Journal 893 (2020) 15 · 49 citations

Pioneered CNN-based classification of dark matter substructure in lensing images — launched the DeepLense program.

2018

Double Neutron Star Mergers and Short Gamma-Ray Bursts: Long-Lasting High-Energy Signatures

Major Contribution

K. Murase, M. W. Toomey, K. Fang, F. Oikonomou, S. S. Kimura, K. Hotokezaka, et al.

The Astrophysical Journal 854 (2018) 60 · 78 citations

Predicted long-lasting high-energy emission signatures from neutron star mergers and remnant dichotomy.

2016

Search for Blazar Flux-Correlated TeV Neutrinos in IceCube 40-String Data

Contributor

C. F. Turley, D. B. Fox, K. Murase, A. Falcone, M. Barnaba, S. Coutu, et al.

The Astrophysical Journal 833 (2016) 117 · 20 citations

Searched for correlations between blazar gamma-ray flares and TeV neutrinos in IceCube data.