Name: Adam Coogan
Type: User
Company: Université de Montréal & Mila
Bio: Astrophysicists + machine-learner.
Now: Ciela Institute (University of Montreal + Mila). Before: GRAPPA (University of Amsterdam), UC Santa Cruz.
Location: Montréal, QC, Canada
Blog: https://adam-coogan.github.io/
Adam Coogan's Projects
Personal website
A denoising diffusion probabilistic model synthesises galaxies that are qualitatively and physically indistinguishable from the real thing.
Studies the properties of a nearby dark matter clump explanation of recent cosmic ray observations
Gravitational wave template bank generation made easy.
Differential geometry with jax
GRAPPA Student Seminar 2019
GRAPPA Student Seminar 2019: axion group
GRAPPA Student Seminar 2019: PBH group
GRAPPA Student Seminar 2019: sterile neutrinos group
GRAPPA Student Seminar 2019: subhalos group
GRAPPA Student Seminar 2019: warm dark matter group
Code for evolving a Dark Matter minispike under the influence of a perturbing body, injecting energy through dynamical friction.
Hazma-based analyses of MeV gamma rays and sub-GeV dark matter
Heliosphere propagation code
HEP/Astroparticle/Astrophysics/Cosmology open source packages. Community effort. Physics people, unite!
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Bilinear interpolation on grids with jax
KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows
PyTorch implementation of the Levenberg-Marquardt algorithm.
General Purpose Fitting Pipeline
Manuals
Annealed importance sampling and Monte Carlo diffusion
Quickstart configurations for the Nvim LSP client
Jax implementation of the path integral sampler
PyTorch implementation of the path integral sampler.
Implications for particle dark matter if primordial black holes are detected with gravitational waves or radio observations
Searching for dark matter around black holes