Speaker
Description
The ATLAS detector, located at the CERN laboratory, measures the products of high energy proton-proton and heavy-ion collisions produced by the Large Hadron Collider (LHC). Given the high collision energy of 13.6 TeV produced by the LHC, the ATLAS detector is a prime location to study fundamental interactions of the universe. To help search for these phenomena, the ATLAS Collaboration uses a series of simulations of events identified with the detector. This simulated data can be used to predict the outcome of real data measurements and is therefore useful in the design of physics analysis. This methodology, however, can fall short if the simulation greatly mismodels the real data. For the simulation of the 2022-2026 run of the LHC, a major discrepancy was identified with the prediction of jets in the forward region of the detector. It was found that the models only predicted about half as many jets than were observed with the data taken. This differs greatly from the prediction of the 2015-2018 run, which showed a reasonable agreement with data. This under prediction is a notable issue as forward jets can be an important signature of certain events of interest. For example, the electroweak production of Z bosons at the LHC is a prominent signature that includes the production of two forward jets (EW Zjj). A lack of precision in the predicted observation of this identifying feature may lead to a decreased precision measurement of this production. This talk will examine the studies that have been performed to identify the source of the mismodeling and how it impacts analyses sensitive to forward jets, such as the EW Zjj analysis using data from both the 2015-2018 and 2022-2026 runs of the LHC.
| Keyword-1 | high energy |
|---|---|
| Keyword-2 | ATLAS |
| Keyword-3 | Modeling |