Speaker
Description
The LHC experiments have so far calibrated and re-reconstructed data typically years after the end of data-taking to make them usable for precision physics analyses, costing millions of CPU hours. This approach becomes untenable at the HL-LHC, with 10 times larger datasets. Jet energy corrections (JEC) are among the dominant sources of systematic uncertainty in many physics analyses and currently rely on delayed offline procedures, which limits both achievable precision and the timely detection of mission-critical detector or reconstruction issues. As such these corrections should be produced as soon as possible in a reliable and well tested fashion. The JEC4Prompt project aims to implement special calibration streams and calibration workflows providing jet energy corrections (JEC) with all physics channels of dijet, photon/Z+jet events within 48 hours after data taking, as well as monitoring plots. JEC are needed by 90% of physics analyses, and they are the final missing pieces required by precision physics analyses. The new streams provide a factor 10-100 increase in the amount of calibration data, extending automatic Prompt calibration which can save tens of person years, millions of CPU hours and speed up the typical CMS analysis cycle times significantly. In addition, it has potential to optimize the trigger menu for physics and better monitoring. Usage of special parking and scouting datasets will also be studied.