  In this paper, we presented our recently developed DREENA-C framework, which
is a fully optimized computational suppression procedure based on our
state-of-the-art dynamical energy loss formalism in constant temperature finite
size QCD medium. With this framework, we for the first time, generated joint
$R_{AA}$ and $v_2$ predictions within our dynamical energy loss formalism. The
predictions are generated for both light and heavy flavor probes, and different
centrality regions in $Pb+Pb$ collisions at the LHC, and compared with the
available experimental data. Despite the fact that DREENA-C does not contain
medium evolution (to which $v_2$ is largely sensitive) and the fact that other
approaches faced difficulties in explaining $v_2$ data, we find that DREENA-C
leads to qualitatively good agreement with this data, though quantitatively,
the predictions are visibly above the experimental data. Intuitive explanation
behind such results is presented, supporting the validity of our model, and it
is expected that introduction of evolution in the ongoing improvement of DREENA
framework, will lead to better joint agreement with $R_{AA}$ and $v_2$ data,
and allow better understanding of the underlying QCD medium.
