23 citations · 32 across the 8 of their papers we have counts for
8 papers
Factorizable Normalizing Flows for parameter-dependent density morphing
Davide Valsecchi, Mauro Donegà, Rainer Wallny
Normalizing Flows excel at modeling a single fixed density, yet many problems across the sciences, such as high energy physics, instead require modeling how that density deforms as…
Profiling systematic uncertainties in Simulation-Based Inference with Factorizable Normalizing Flows
Davide Valsecchi, Mauro Donegà, Rainer Wallny
Unbinned likelihood fits maximize the information extracted from experimental data, yet their application in realistic high-dimensional analyses has been fundamentally bottlenecked…
Performance of the front-end electronics of the CMS electromagnetic calorimeter barrel for the High-Luminosity LHC
The CMS Electromagnetic Calorimeter Group
The performance of the CMS electromagnetic calorimeter upgraded readout electronics, developed for the High-Luminosity phase of the LHC, is discussed. Data collected in two beam te…
One flow to correct them all: improving simulations in high-energy physics with a single normalising flow and a switch
Caio Cesar Daumann, Mauro Donega, Johannes Erdmann +3
Simulated events are key ingredients in almost all high-energy physics analyses. However, imperfections in the simulation can lead to sizeable differences between the observed data…
Autoencoder-based Anomaly Detection System for Online Data Quality Monitoring of the CMS Electromagnetic Calorimeter
The CMS ECAL Collaboration
The CMS detector is a general-purpose apparatus that detects high-energy collisions produced at the LHC. Online Data Quality Monitoring of the CMS electromagnetic calorimeter is a…
Deep learning techniques for energy clustering in the CMS ECAL
Davide Valsecchi
The reconstruction of electrons and photons in CMS depends on topological clustering of the energy deposited by an incident particle in different crystals of the electromagnetic ca…