343 citations · 770 across the 26 of their papers we have counts for
17 papers · 1 filter
Kinetic Mixing and the Phantom Illusion: Axion-Dilaton Quintessence in Light of DESI DR2
Michael W. Toomey, Ellie Hughes, Mikhail M. Ivanov +1
Recent results from DESI BAO analyses suggest that dark energy may not be a cosmological constant and is in fact dynamical. Furthermore, the data suggest that the equation of state…
How Theory-Informed Priors Affect DESI Evidence for Evolving Dark Energy
Michael W. Toomey, Gabriele Montefalcone, Evan McDonough +1
Recent measurements of baryon acoustic oscillations (BAO) from the Dark Energy Spectroscopic Instrument (DESI) have been interpreted to suggest that dark energy may be evolving. In…
Kinetically Coupled Dark Matter Condensates
Michael W. Toomey, Savvas M. Koushiappas, Stephon Alexander
Dark matter consisting of ultralight bosons can form a macroscopic Bose-Einstein condensate with distinctive observational signatures. While this possibility has been extensively s…
The Millennium and Astrid galaxies in effective field theory: comparison with galaxy-halo connection models at the field level
Mikhail M. Ivanov, Carolina Cuesta-Lazaro, Andrej Obuljen +8
Cosmological analyses of redshift space clustering data are primarily based on using luminous ``red'' galaxies (LRGs) and ``blue'' emission line galaxies (ELGs) to trace underlying…
Learning Theory Informed Priors for Bayesian Inference: A Case Study with Early Dark Energy
Michael W. Toomey, Mikhail M. Ivanov, Evan McDonough
Cosmological models are often motivated and formulated in the language of particle physics, using quantities such as the axion decay constant, but tested against data using ostensi…
Full-shape analysis with simulation-based priors: cosmological parameters and the structure growth anomaly
Mikhail M. Ivanov, Andrej Obuljen, Carolina Cuesta-Lazaro +1
We explore full-shape analysis with simulation-based priors, which is the simplest approach to galaxy clustering data analysis that combines effective field theory (EFT) on large s…
Fundamental physics with the Lyman-alpha forest: constraints on the growth of structure and neutrino masses from SDSS with effective field theory
Mikhail M. Ivanov, Michael W. Toomey, Naim Göksel Karaçaylı
We present an effective field theory (EFT) approach to extract fundamental cosmological parameters from the Lyman-alpha forest flux fluctuations as an alternative to the standard s…
Full-shape analysis with simulation-based priors: constraints on single field inflation from BOSS
Mikhail M. Ivanov, Carolina Cuesta-Lazaro, Siddharth Mishra-Sharma +2
Perturbative, or effective field theory (EFT)-based, full-shape analyses of galaxy clustering data involve ``nuisance parameters'' to capture various observational effects such as…
Observational constraints on early dark energy
Evan McDonough, J. Colin Hill, Mikhail M. Ivanov +2
We review and update constraints on the Early Dark Energy (EDE) model from cosmological data sets, in particular Planck PR3 and PR4 cosmic microwave background (CMB) data and large…
Quantum Gravity Signatures in the Late-Universe
Michael W. Toomey, Savvas Koushiappas, Bruno Alexandre +1
We calculate deviations in cosmological observables as a function of parameters in a class of connection-based models of quantum gravity. In this theory non-trivial modifications t…
Addressing the Hubble and Tensions with a Kinetically Mixed Dark Sector
Stephon Alexander, Heliudson Bernardo, Michael W. Toomey
We present a kinetically mixed dark sector (KMIX) model to address the Hubble and tensions. Inspired from string theory, our model includes two fields: an axion, which plays…
Domain Adaptation for Simulation-Based Dark Matter Searches Using Strong Gravitational Lensing
Stephon Alexander, Sergei Gleyzer, Pranath Reddy +2
Clues to the identity of dark matter have remained surprisingly elusive, given the scope of experimental programs aimed at its identification. While terrestrial experiments may be…
Decoding Dark Matter Substructure without Supervision
Stephon Alexander, Sergei Gleyzer, Hanna Parul +4
The identity of dark matter remains one of the most pressing questions in physics today. While many promising dark matter candidates have been put forth over the last half-century,…
Deep learning the astrometric signature of dark matter substructure
Kyriakos Vattis, Michael W. Toomey, Savvas M. Koushiappas
We study the application of machine learning techniques for the detection of the astrometric signature of dark matter substructure. In this proof of principle a population of dark…
Constraining Early Dark Energy with Large-Scale Structure
Mikhail M. Ivanov, Evan McDonough, J. Colin Hill +4
An axion-like field comprising of the energy density of the universe near matter-radiation equality is a candidate to resolve the Hubble tension; this is the "early dar…
Early Dark Energy Does Not Restore Cosmological Concordance
J. Colin Hill, Evan McDonough, Michael W. Toomey +1
Current cosmological data exhibit a tension between inferences of the Hubble constant, , derived from early and late-universe measurements. One proposed solution is to introdu…
Deep Learning the Morphology of Dark Matter Substructure
Stephon Alexander, Sergei Gleyzer, Evan McDonough +2
Strong gravitational lensing is a promising probe of the substructure of dark matter halos. Deep learning methods have the potential to accurately identify images containing substr…