Conveners
CTPU-PTC
- Sanghyeon Chang (CTPU-PTC)
The spectra of stable particles such as photons, positrons,
antiprotons and neutrinos are one of the main ingredients to calculate
the fluxes of cosmic rays and radiation searched for in indirect
detection experiments. The modeling of the whole process is however
very complicated since after dark matter annihilation or decay, a
number of phenomena occur: including resonance decays,...
Recent advances in machine learning (ML), particularly neural density
estimation like normalizing flows, diffusion models, and flow
matching, have opened new doors for high-precision, model-independent
density estimation.
These techniques are highly valuable for galactic dynamics studies, as
they allow us to estimate the distribution of stars in phase space
(position and velocity)...
