Name: Will Meierjurgen Farr
Type: User
Company: Stony Brook University
Bio: Associate Professor, Department of Physics and Astronomy, Stony Brook University and group leader for Gravitational Wave Astronomy at Flatiron CCA
Location: Stony Brook, NY, USA
Blog: http://www.birmingham.ac.uk/staff/profiles/physics/farr-will.aspx
Will Meierjurgen Farr's Projects
Analysis of the 30 Dor IMF using Schneider, et al. (2018)'s data, but better statistics.
Cosmology in the 3G era with PISN.
Code and paper on ground-based astroseismic characterisation of Aldebaran.
A calculation and paper comparing aligned and isotropic black hole spin models.
Trying to replicate the Alsing+(2018) NS mass distribution.
When and how could we analyze just the residuals from a LISA-like "global fit."
Code for fitting autoregressive (moving average, too!) models to unevenly sampled series.
Notebooks and other code created for AST203 at Stony Brook, Fall 2020
The webpage for the Stony Brook Astronomy group
A romp through the field of modern astrostatistics.
Backward autodiff in Julia (based off ideas from Stony Brook PHY-604, but updated).
Barnes-Hut tree in OCaml
Converting LIGO merger rates into events per year in the universe.
Galactic Black Hole Masses
Paper on Black Hole X-Ray Binary Mass Distribution
A simple example of fitting out viewing angle systematics on "bright sirens."
Zooming in on the 10MSun LIGO bump.
Runs of the CARMA RV code on interesting systems.
CARMA Models in Julia
MCMC Sampler for Performing Bayesian Inference on Continuous Time Autoregressive Models.
Showing how to run CARMA models more-or-less programmatically on RV data.
A companion to a lecture I gave at CCA GW group meeting showing how to analyze catalogs subject to selection effects.
Paper about the implications of the Callister, et al. chi-eff vs q correlation
A library for gravitational N-body computations in Clojure.
Comparing models of binary black hole formation in small clusters to LIGO data.
A collection of work related to COVID-19
A variational integrator with individual timesteps for N-body systems.