Conveners
Cosmology & Simulations: V
- Eva Sciacca (Istituto Nazionale di Astrofisica (INAF))
The drawback of the more traditional, numerical ML techniques is their opaqueness; it is not always clear what information is being used and how methods trained on (necessarily imperfect) simulations will perform when applied to real-world data. An alternative branch of ML — Symbolic Regression (SR) — has clear advantages in this regard. By searching for simple, analytic descriptions of the...
We will present state-of-the-art machine learning based tools that can be interfaced with traditional Boltzmann and sampling codes to accelerate inference analyses of CMB and LSS data. We will show real life example with the CMBxLSS code class_sz used in ACT and SO collaboration pipelines.
MOCCA code is able to perform detailed numerical simulations of globular clusters of any size within a few days (http://moccacode.net). Because of its speed and a close agreement with N-body codes MOCCA code is perfect to perform a grid of simulations for various initial conditions. It is currently beyond the capabilities of any N-body codes. At this moment our MOCCA database consists of over...
