Speaker
Description
In this work, we present a framework, wrapped around Allpix$^2$, that can be used to optimize the performance of the HL-LHC CMS Inner Tracker. The framework uses minimum-bias events, generated at a pileup of 200, and simulates their transversal through silicon pixel sensors with Allpix$^2$. The behavior of the Inner Tracker front-end (RD53B-CMS, i.e. CROC), for processing pixel hits, has been defined outside of Allpix, with standalone code. With a clustering and a position reconstruction scheme, the framework can compute how various quantities of interest vary with respect to the parameters of the CROC digital and analog front end. As an illustrative example, the variation of spatial resolution of a specific Inner Tracker module can be determined with respect to the Krummenacher feedback current set on its respective readout chip.
The presentation of this work will review the present status and capabilities of this framework and outline future directions.
| Will the talk be given in person or remotely? | Remotely |
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