10 papers
What You Don't Know Won't Hurt You: Self-Consistent Hierarchical Inference with Unknown Follow-up Selection Strategies
Reed Essick, Amanda M. Farah
Many astronomical surveys prompt follow-up observations, but the decision process through which candidates are selected for follow-up can be difficult to model. This poses a challe…
Semianalytic Sensitivity Estimates for Out-of-Bank Gravitational-Wave Signals
Aditya Vijaykumar, Reed Essick
Estimating the sensitivity of gravitational-wave searches is important for a wide variety of scientific applications spanning astrophysics and fundamental physics. In this work, we…
Guesswork in the gap: the impact of uncertainty in the compact binary population on source classification
Utkarsh Mali, Reed Essick
The nature of the compact objects within the supposed "lower mass gap" remains uncertain. Observations of GW190814 and GW230529 highlight the challenges gravitational waves face in…
Unified nonparametric equation-of-state inference from the neutron-star crust to perturbative-QCD densities
Eliot Finch, Isaac Legred, Katerina Chatziioannou +3
Perturbative quantum chromodynamics (pQCD), while valid only at densities exceeding those found in the cores of neutron stars, could provide constraints on the dense-matter equatio…
Compact Binary Coalescence Sensitivity Estimates with Injection Campaigns during the LIGO-Virgo-KAGRA Collaborations' Fourth Observing Run
Reed Essick, Michael W. Coughlin, Michael Zevin +21
We describe the effort to characterize gravitational-wave searches and detector sensitivity to different types of compact binary coalescences during the LIGO-Virgo-KAGRA Collaborat…
Nonparametric extensions of nuclear equations of state: probing the breakdown scale of relativistic mean-field theory
Isaac Legred, Liam Brodie, Alexander Haber +2
Phenomenological calculations of the properties of dense matter, such as relativistic mean-field theories, represent a pathway to predicting the microscopic and macroscopic propert…