Explanipedia

Mind the Information Gap: Unveiling Detailed Morphologies of z 0.5-1.0 Galaxies with SLACS Strong Lenses and Data-Driven Analysis Open

Ronan Legin, Connor Stone, Alexandre Adam, Gabriel Missael Barco, Adam Coogan , et al. · 2025

We present new state-of-the-art lens models for strong gravitational lensing systems from the Sloan Lens ACS (SLACS) survey, developed within a Bayesian framework that employs high-dimensional (pixellated), data-driven priors for the backg…

caskade: building Pythonic scientific simulators Open

Connor Stone, Alexandre Adam, Adam Coogan, Laurence Perreault-Levasseur, Yashar Hezaveh · 2025

Caustics: A Python Package for Accelerated StrongGravitational Lensing Simulations Open

Connor Stone, Alexandre Adam, Adam Coogan, M. J. Yantovski-Barth, Andreas Filipp , et al. · 2024

Differentiable and hardware-accelerated waveforms for gravitational wave data analysis Open

T. Edwards, Kaze W. K. Wong, Kelvin K. H. Lam, Adam Coogan, Daniel Foreman-Mackey , et al. · 2024

We propose the use of automatic differentiation through the programming framework for accelerating a variety of analysis tasks throughout gravitational wave (GW) science. Firstly, we demonstrate that complete waveforms which cover the insp…

Caustics: A Python Package for Accelerated Strong Gravitational Lensing Simulations Open

Connor Stone, Alexandre Adam, Adam Coogan, M. J. Yantovski-Barth, Andreas Filipp , et al. · 2024

Gravitational lensing is the deflection of light rays due to the gravity of intervening masses. This phenomenon is observed in a variety of scales and configurations, involving any non-uniform mass such as planets, stars, galaxies, cluster…

Time Delay Cosmography with a Neural Ratio Estimator Open

Ève Campeau-Poirier, Laurence Perreault-Levasseur, Adam Coogan, Yashar Hezaveh · 2023

We explore the use of a Neural Ratio Estimator (NRE) to determine the Hubble constant ($H_0$) in the context of time delay cosmography. Assuming a Singular Isothermal Ellipsoid (SIE) mass profile for the deflector, we simulate time delay m…

The effect of the perturber population on subhalo measurements in strong gravitational lenses Open

Adam Coogan, Noemi Anau Montel, Konstantin Karchev, Meiert W. Grootes, Francesco Nattino , et al. · 2023

Analyses of extended arcs in strong gravitational lensing images to date have constrained the properties of dark matter by measuring the parameters of one or two individual subhaloes. However, since such analyses are reliant on likelihood-…

Snowmass2021 Cosmic Frontier White Paper: Primordial black hole dark matter Open

Simeon Bird, A. Albert, William A. Dawson, Yacine Ali-Haïmoud, Adam Coogan , et al. · 2023

Measuring dark matter spikes around primordial black holes with Einstein Telescope and Cosmic Explorer Open

Philippa S. Cole, Adam Coogan, Bradley J. Kavanagh, Gianfranco Bertone · 2023

Future ground-based gravitational wave observatories will be ideal probes of the environments surrounding black holes with masses 1−10M⊙. Binary black hole mergers with mass ratios of order q=m2/m1≲10−3 can remain in the frequency band of …

ripple: Differentiable and Hardware-Accelerated Waveforms for Gravitational Wave Data Analysis Open

T. Edwards, Kaze W. K. Wong, Kelvin K. H. Lam, Adam Coogan, Daniel Foreman-Mackey , et al. · 2023

We propose the use of automatic differentiation through the programming framework jax for accelerating a variety of analysis tasks throughout gravitational wave (GW) science. Firstly, we demonstrate that complete waveforms which cover the …

Sampling-Based Accuracy Testing of Posterior Estimators for General Inference Open

Pablo Lemos, Adam Coogan, Yashar Hezaveh, Laurence Perreault-Levasseur · 2023

Parameter inference, i.e. inferring the posterior distribution of the parameters of a statistical model given some data, is a central problem to many scientific disciplines. Generative models can be used as an alternative to Markov Chain M…

Hunting for dark matter and new physics with GECCO Open

Adam Coogan, A. A. Moiseev, Logan Morrison, Stefano Profumo, Matthew G. Baring , et al. · 2023

We outline the science opportunities in the areas of searches for dark matter and new physics offered by a proposed future MeV gamma-ray telescope, the Galactic Explorer with a Coded Aperture Mask Compton Telescope (GECCO). We point out th…

Efficient gravitational wave template bank generation with differentiable waveforms Open

Adam Coogan, T. Edwards, Horng Sheng Chia, J. George, Katherine Freese , et al. · 2022

The most sensitive search pipelines for gravitational waves from compact binary mergers use matched filters to extract signals from the noisy data stream coming from gravitational wave detectors. Matched-filter searches require banks of te…

Strong-Lensing Source Reconstruction with Denoising Diffusion Restoration Models Open

Konstantin Karchev, Noemi Anau Montel, Adam Coogan, Christoph Weniger · 2022

Analysis of galaxy--galaxy strong lensing systems is strongly dependent on any prior assumptions made about the appearance of the source. Here we present a method of imposing a data-driven prior / regularisation for source galaxies based o…

Estimating the warm dark matter mass from strong lensing images with truncated marginal neural ratio estimation Open

Noemi Anau Montel, Adam Coogan, Camila A. Correa, Konstantin Karchev, Christoph Weniger · 2022

Precision analysis of galaxy–galaxy strong gravitational lensing images provides a unique way of characterizing small-scale dark matter haloes, and could allow us to uncover the fundamental properties of dark matter’s constituents. Recentl…

Posterior samples of source galaxies in strong gravitational lenses with score-based priors Open

Alexandre Adam, Adam Coogan, Nikolay Malkin, Ronan Legin, Laurence Perreault-Levasseur , et al. · 2022

Inferring accurate posteriors for high-dimensional representations of the brightness of gravitationally-lensed sources is a major challenge, in part due to the difficulties of accurately quantifying the priors. Here, we report the use of a…

Disks, spikes, and clouds: distinguishing environmental effects on BBH gravitational waveforms Open

Philippa S. Cole, Gianfranco Bertone, Adam Coogan, Daniele Gaggero, Theophanes K. Karydas , et al. · 2022

Future gravitational wave interferometers such as LISA, Taiji, DECIGO, and TianQin, will enable precision studies of the environment surrounding black holes. In this paper, we study intermediate and extreme mass ratio binary black hole ins…

Hazma meets HERWIG4DM: precision gamma-ray, neutrino, and positron spectra for light dark matter Open

Adam Coogan, Logan Morrison, Tilman Plehn, Stefano Profumo, Peter Reimitz · 2022

We present a new open-source package, Hazma 2 , that computes accurate spectra relevant for indirect dark matter searches for photon, neutrino, and positron production from vector-mediated dark matter annihilation and for spin-one dark mat…

Dimensionally Reduced Waveforms for Spin-Induced Quadrupole Searches Open

Horng Sheng Chia, T. Edwards, J. George, Aaron Zimmerman, Adam Coogan , et al. · 2022

We present highly accurate, dimensionally-reduced gravitational waveforms for binary inspirals whose components have large spin-induced quadrupole moments. The spin-induced quadrupole of a body first appears in the phase of a waveform at t…

One never walks alone: the effect of the perturber population on subhalo measurements in strong gravitational lenses Open

Adam Coogan, Noemi Anau Montel, Konstantin Karchev, Meiert W. Grootes, Francesco Nattino , et al. · 2022

Analyses of extended arcs in strong gravitational lensing images to date have constrained the properties of dark matter by measuring the parameters of one or two individual subhalos. However, since such analyses are reliant on likelihood-b…

Measuring dark matter spikes around primordial black holes with Einstein Telescope and Cosmic Explorer Open

Philippa S. Cole, Adam Coogan, Bradley J. Kavanagh, Gianfranco Bertone · 2022

Future ground-based gravitational wave observatories will be ideal probes of the environments surrounding black holes with masses $1 - 10\,\mathrm{M_\odot}$. Binary black hole mergers with mass ratios of order $q=m_2/m_1\lesssim10^{-3}$ ca…

Estimating the warm dark matter mass from strong lensing images with truncated marginal neural ratio estimation Open

Noemi Anau Montel, Adam Coogan, Camila Renata Corrêa, Konstantin Karchev, Christoph Weniger · 2022

Precision analysis of galaxy-galaxy strong gravitational lensing images provides a unique way of characterizing small-scale dark matter halos, and could allow us to uncover the fundamental properties of dark matter's constituents. Recently…

Dark Matter In Extreme Astrophysical Environments Open

Masha Baryakhtar, R. Caputo, Djuna Croon, K. Perez, Emanuele Berti , et al. · 2022

Exploring dark matter via observations of extreme astrophysical environments -- defined here as heavy compact objects such as white dwarfs, neutron stars, and black holes, as well as supernovae and compact object merger events -- has been …

Efficient Gravitational Wave Template Bank Generation with Differentiable Waveforms Open

Adam Coogan, T. Edwards, Horng Sheng Chia, J. George, Katherine Freese , et al. · 2022

The most sensitive search pipelines for gravitational waves from compact binary mergers use matched filters to extract signals from the noisy data stream coming from gravitational wave detectors. Matched-filter searches require banks of te…

Measuring the dark matter environments of black hole binaries with gravitational waves Open

Adam Coogan, Gianfranco Bertone, Daniele Gaggero, Bradley J. Kavanagh, David A. Nichols · 2022

Large dark matter overdensities can form around black holes of astrophysical\nand primordial origin as they form and grow. This "dark dress" inevitably\naffects the dynamical evolution of binary systems, and induces a dephasing in\nthe gra…

Strong-lensing source reconstruction with variationally optimized Gaussian processes Open

Konstantin Karchev, Adam Coogan, Christoph Weniger · 2022

Strong-lensing images provide a wealth of information both about the magnified source and about the dark matter distribution in the lens. Precision analyses of these images can be used to constrain the nature of dark matter. However, this …

Strong-lensing source reconstruction with variationally optimised Gaussian processes Open

Konstantin Karchev, Adam Coogan, Christoph Weniger · 2021

Strong-lensing images provide a wealth of information both about the magnified source and about the dark matter distribution in the lens. Precision analyses of these images can be used to constrain the nature of dark matter. However, this …

Direct Detection of Hawking Radiation from Asteroid-Mass Primordial Black Holes Open

Adam Coogan, Logan Morrison, Stefano Profumo · 2021

Light, asteroid-mass primordial black holes, with lifetimes in the range between hundreds to several millions times the age of the Universe, are well-motivated candidates for the cosmological dark matter. Using archival COMPTEL data, we im…

Hunting for Dark Matter and New Physics with GECCO Open

Adam Coogan, Alexander Moiseev, Logan Morrison, Stefano Profumo · 2021

We outline the science opportunities in the areas of searches for dark matter and new physics offered by a proposed future MeV gamma-ray telescope, the Galactic Explorer with a Coded Aperture Mask Compton Telescope (GECCO). We point out th…

EuCAPT White Paper: Opportunities and Challenges for Theoretical Astroparticle Physics in the Next Decade Open

Rafael Alves Batista, Mustafa A. Amin, Gabriela Barenboim, Nicola Bartolo, Daniel Baumann , et al. · 2021

Astroparticle physics is undergoing a profound transformation, due to a series of extraordinary new results, such as the discovery of high-energy cosmic neutrinos with IceCube, the direct detection of gravitational waves with LIGO and Virg…

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