18 citations · 22 across the 6 of their papers we have counts for
6 papers
: user-friendly neural posterior estimation for gravitational-wave astronomy
Liam Pinchbeck, Eric Thrane, Csaba Balazs +1
Bayesian inference plays a central role in the new field of gravitational-wave astronomy. However, traditional Bayesian inference with stochastic samplers is computationally expens…
Chasing Gamma-Ray Signals from Binary Neutron Star Coalescences with the Cherenkov Telescope Array: Prospects and Observing Strategies
S. Abe, J. Abhir, A. Abhishek +457
The detection of gravitational waves (GWs) from a binary neutron star (BNS) merger by Advanced LIGO and Advanced Virgo (GW170817), together with its electromagnetic counterpart, th…
Prospects for dark matter observations in dwarf spheroidal galaxies with the Cherenkov Telescope Array Observatory
K. Abe, S. Abe, J. Abhir +491
The dwarf spheroidal galaxies (dSphs) orbiting the Milky Way are widely regarded as systems supported by velocity dispersion against self-gravity, and as prime targets for the sear…
Model-independent dark matter detection with the Cherenkov Telescope Array Observatory
Liam Pinchbeck, Csaba Balazs, Eric Thrane
Searches for annihilating dark matter are often designed with a specific dark matter candidate in mind. However, the space of potential dark matter models is vast, which raises the…
Dark Matter Line Searches with the Cherenkov Telescope Array
S. Abe, J. Abhir, A. Abhishek +562
Monochromatic gamma-ray signals constitute a potential smoking gun signature for annihilating or decaying dark matter particles that could relatively easily be distinguished from a…
GammaBayes: a Bayesian pipeline for dark matter detection with CTA
Liam Pinchbeck, Eric Thrane, Csaba Balazs
We present GammaBayes, a Bayesian Python package for dark matter detection with the Cherenkov Telescope Array (CTA). GammaBayes takes as input the CTA measurements of gamma rays an…