Kavli Affiliate: Blake Sherwin
| First 5 Authors: Boris Bolliet, Boris Bolliet, , ,
| Summary:
These notes are very much work-in-progress and simply intended to showcase,
in various degrees of details (and rigour), some of the cosmology calculations
that class_sz can do. We describe the class_sz code in C, Python and Jax. Based
on the Boltzmann code class, it can compute a wide range of observables
relevant to current and forthcoming CMB and Large Scale Structure surveys. This
includes galaxy shear and clustering, CMB lensing, thermal and kinetic Sunyaev
and Zeldovich observables, Cosmic Infrared Background, cross-correlations and
three-point statistics. Calculations can be done either within the halo model
or the linear bias model. For standard $Lambda$CDM cosmology and extensions,
class_sz uses high-accuracy cosmopower emulators of the CMB and matter power
spectrum to accelerate calculations. With this, along with efficient numerical
integration routines, most class_sz output can be obtained in less than 500 ms
(CMB $C_ell$’s or matter $P(k)$ take $mathcalO(1mathrmms)$), allowing
for fast or ultra-fast parameter inference analyses. Parts of the calculations
are "jaxified", so the software can be integrated into differentiable
pipelines.
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