Signal reduction is one of the most important radiation damage effect on performance of silicon tracking detectors in LHC experiments. Adjusting sensor bias voltage and detection threshold can help in mitigating the effects but it is important to have simulated data that reproduce the evolution of performance with the accumulation of luminosity, hence fluence.
ATLAS, CMS and LHCb collaboration developed and implemented algorithms that reproduces signal loss and changes in Lorentz angle due to radiation damage. These algorithms are now the default for Run3 simulated events.
In this talk, after a general introduction to radiation damage LHC experiments silicon detectors, the different simulation approaches will be presented - together with the needed inputs -, and simulation results compared to collision data. TCAD tools will be also presented, focusing on some notable examples from the simulation of radiation damage effects in silicon detectors.
For the high-luminosity phase of LHC (HL-LHC) faster algorithms are necessary since the increase of collision, event, track and hit rate imposes stringent constraints on the computing resources that can be allocated for this purpose. The philosophy of the new algorithms will be presented and the strategy on how to implement it and the needed ingredients will be discussed.