5 citations · 12 across the 10 of their papers we have counts for
12 papers
Point-cloud generative models for fast calorimeter simulation across particles and geometries
Thorsten Buss, Henry Day-Hall, Frank Gaede +7
Detailed Geant4 simulation of calorimeter showers is the largest single computing cost of collider experiments, and the High-Luminosity LHC will need about ten times more simulated…
Jevons' Paradox and Fast Generative Simulation for HEP: Why Realistic Benchmarking is Essential
Thorsten Buss, Henry Day-Hall, Frank Gaede +7
Simulation is a major computational expense in HEP, and calorimeter simulation in particular drives the overall energy cost of our physics analyses. Future detectors will contain m…
Transferable Fast Calorimeter Shower Generation via Multi-Geometry Pre-training
Thorsten Buss, Henry Day-Hall, Frank Gaede +4
Detailed Geant4 simulation of calorimeter showers dominates the computing budget of high-energy physics experiments. Deep generative surrogates reduce this cost, but they have rema…
AllShowers: One model for all calorimeter showers
Thorsten Buss, Henry Day-Hall, Frank Gaede +2
Accurate and efficient detector simulation is essential for modern collider experiments. To reduce the high computational cost, various fast machine learning surrogate models have…
A First Full Physics Benchmark for Highly Granular Calorimeter Surrogates
Thorsten Buss, Henry Day-Hall, Frank Gaede +5
The physics programs of current and future collider experiments necessitate the development of surrogate simulators for calorimeter showers. While much progress has been made in th…
CaloClouds3: Ultra-Fast Geometry-Independent Highly-Granular Calorimeter Simulation
Thorsten Buss, Henry Day-Hall, Frank Gaede +7
We present CaloClouds3, a model for the fast simulation of photon showers in the barrel of a high granularity detector. This iteration demonstrates for the first time how a pointcl…
Fat -Jet Analyses Using Old and New Clustering Algorithms in New Higgs Boson Searches at the LHC
Amit Chakraborty, Srinandan Dasmahapatra, Henry Day-Hall +3
We compare different jet-clustering algorithms in establishing fully hadronic final states stemming from the chain decay of a heavy Higgs state into a pair of the 125 GeV Higgs bos…
Re-evaluating Jet Reconstruction Techniques for New Higgs Boson Searches
Amit Chakraborty, Srinandan Dasmahapatra, Henry Day-Hall +5
The ultimate motivation of our study is to look for signs of physics beyond the Standard Model (BSM). We investigate whether different jet clustering techniques might be more or le…
Spectral Clustering for Jet Reconstruction
G. Cerro, S. Dasmahapatra, H. A. Day-Hall +4
We present a new approach to jet definition alternative to clustering methods, such as the anti- scheme, that exploit kinematic data directly. Instead the new method uses kine…
Spectral Clustering for Jet Physics
G. Cerro, S. Dasmahapatra, H. A. Day-Hall +3
We present a new approach to jet definition alternative to clustering methods, such as the anti- scheme, that exploit kinematic data directly. Instead the new method uses kine…
Revisiting Jet Clustering Algorithms for New Higgs Boson Searches in Hadronic Final States
Amit Chakraborty, Srinandan Dasmahapatra, Henry Day-Hall +5
We assess the performance of different jet-clustering algorithms, in the presence of different resolution parameters and reconstruction procedures, in resolving fully hadronic fina…
Mapping and Current and Future Searches onto 2HDM Parameter Spaces
Rachid Benbrik, Henry Day-Hall, Stefano Moretti +1
By borrowing the results from a Large Hadron Collider (LHC) analysis performed with of Run 2 data intended to search for production followed by decay…