PANCO2: a new software to measure pressure profiles from resolved
  thermal SZ observations
  We have developed a new software to perform the measurement of galaxy cluster
pressure profiles from high angular resolution thermal SZ observations. The
code allows the user to take into account various features of millimeter
observations, such as point spread function (PSF) convolution, pipeline
filtering, correlated residual noise, and point source contamination, in a
forward modeling approach. One of the key advantages of the code is the
possibility to use binned, non-parametric pressure profiles, enabling the
detection of pressure features better than smooth functions such as the
traditionally used generalized Navarro-Frenk-White profile. Another major
upside is the performance of the software, enabling the extraction of the
pressure profile and associated confidence intervals via MCMC sampling in times
as short as a few minutes. We present the code and its validation on various
realistic synthetic maps, of ideal spherical clusters, as well as of realistic,
hydrodynamically simulated objects. We plan to publicly release the software in
the coming months.
