Conveners
Reconstruction
- Fabrice Balli (Université Paris-Saclay (FR))
Reconstruction
- Brendon Bullard (SLAC National Accelerator Laboratory (US))
Reconstruction
- Katherine Fraser (Harvard University)
The precise measurement of kinematic features of jets is key to the physics program of the LHC. The determination of the energy and mass of jets containing bottom quarks 𝑏-jets is particularly difficult given their distinct radiation patterns and production of undetectable neutrinos via leptonic heavy flavor decays. This talk will describe a novel calibration technique for the b-jet kinematics...
The High Luminosity upgrade to the LHC will deliver an unprecedented luminosity to the ATLAS experiment. Ahead of this increase in data the ATLAS trigger and data acquisition system will undergo a comprehensive upgrade. The key function of the trigger system is to maintain a high signal efficiency together with a high background rejection whilst adhering to the throughput constraints of the...
The ATLAS experiment reconstructs electrons and photons from clusters of energy deposits in the electromagnetic calorimeter. The reconstructed electron and photon energy must be corrected from the measured energy deposits in the clusters to account for energy loss in passive material upstream of the calorimeter, in the passive material in the calorimeter, out of cluster energies and leakage in...
This talk presents a synergy between quark/gluon jet tagging on LHC data, and charged hadron time-of-flight (TOF) regression on ILC data, in the form of one problem-solving mechanism that can address both tasks. They both involve processing data represented as unordered point clouds of varying sequence lengths, optimally handled using permutation-invariant architectures.
A...
Deep learning can give a significant impact on physics performance of electron-positron Higgs factories such as ILC and FCCee. We are working on two topics on event reconstruction to apply deep learning; one is jet flavor tagging. We apply particle transformer to ILD full simulation to obtain jet flavor, including strange tagging. The other one is particle flow, which clusters calorimeter hits...
Large-scale point cloud and long-sequence processing are crucial for high energy physics applications such as pileup mitigation and track reconstruction. The HL-LHC presents inevitable challenges to machine learning models, requiring both high stability and low computational complexity. Previous studies have primarily focused on graph-based approaches which are generally effective but often...
The next decade will see an order of magnitude increase in data collected by high-energy physics experiments,
driven by the High-Luminosity LHC (HL-LHC). The reconstruction of charged particle trajectories (tracks) has
always been a critical part of offline data processing pipelines. The complexity of HL-LHC data will however
increasingly mandate track finding in all stages of an...
Reconstructing particle tracks from detector hits is computationally intensive due to the large combinatorics involved. Recent work has shown that ML techniques can enhance conventional tracking methods, but complex models are often difficult to implement on heterogeneous trigger systems, such as FPGAs. While deploying neural networks on FPGAs is possible, resource limitations pose challenges....
Accurately reconstructing particles from detector data is a critical challenge in experimental particle physics, where the spatial resolution of calorimeters plays a key role. This study explores the integration of super-resolution techniques into the Large Hadron Collider (LHC)-like reconstruction pipeline to enhance the granularity of calorimeter data. By applying super-resolution, we...
Recreating realistic parton-level event configurations from jets is a crucial task for various physics analyses. However, hadronization processes cannot be computed using perturbative QCD. Therefore, it has been traditionally intractable to reconstruct parton-level events after hadronization.
We present a generative machine learning approach for reconstructing jet showers at the parton...