Publications | PHINDER EIC Projecthttps://phinder-eic.github.io/publication/PublicationsHugo Blox Builder (https://hugoblox.com)en-usThu, 01 Jan 2026 00:00:00 +0000https://phinder-eic.github.io/media/icon_hu_ebbff252c19052d0.pngPublicationshttps://phinder-eic.github.io/publication/Design of an Imaging Air Cherenkov Telescope array layout with differential programminghttps://phinder-eic.github.io/publication/alispach-2026-qn/Thu, 01 Jan 2026 00:00:00 +0000https://phinder-eic.github.io/publication/alispach-2026-qn/Differentiable Surrogate for Detector Simulation and Design with Diffusion Modelshttps://phinder-eic.github.io/publication/nguyen-2026-wsv/Thu, 01 Jan 2026 00:00:00 +0000https://phinder-eic.github.io/publication/nguyen-2026-wsv/Differentiating a HEP Analysis Pipeline within the Scikit-HEP Software Ecosystemhttps://phinder-eic.github.io/publication/aly-2026-i-n/Thu, 01 Jan 2026 00:00:00 +0000https://phinder-eic.github.io/publication/aly-2026-i-n/Imaging Techniques in Muon Scattering Tomographyhttps://phinder-eic.github.io/publication/borozdin-2026-rp/Thu, 01 Jan 2026 00:00:00 +0000https://phinder-eic.github.io/publication/borozdin-2026-rp/On the Codesign of Scientific Experiments and Industrial Systemshttps://phinder-eic.github.io/publication/dorigo-2026-codesignscientificexperimentsindustrial/Thu, 01 Jan 2026 00:00:00 +0000https://phinder-eic.github.io/publication/dorigo-2026-codesignscientificexperimentsindustrial/Partial Observability and Domain Randomization in RL-Based Strategy for Optical Cavity Locking Optimizationhttps://phinder-eic.github.io/publication/svizzeretto-2026-bx/Thu, 01 Jan 2026 00:00:00 +0000https://phinder-eic.github.io/publication/svizzeretto-2026-bx/Progress in end-to-end optimization of fundamental physics experimental apparata with differentiable programminghttps://phinder-eic.github.io/publication/aehle-2025/Mon, 01 Dec 2025 00:00:00 +0000https://phinder-eic.github.io/publication/aehle-2025/Toward the end-to-end optimization of the SWGO array layouthttps://phinder-eic.github.io/publication/dorigo-2025/Fri, 01 Aug 2025 00:00:00 +0000https://phinder-eic.github.io/publication/dorigo-2025/Hadron Identification Prospects with Granular Calorimetershttps://phinder-eic.github.io/publication/de-vita-2025/Thu, 01 May 2025 00:00:00 +0000https://phinder-eic.github.io/publication/de-vita-2025/A Multiple Readout Ultra-High Segmentation Detector Concept For Future Collidershttps://phinder-eic.github.io/publication/bilki-2025-f-9/Wed, 01 Jan 2025 00:00:00 +0000https://phinder-eic.github.io/publication/bilki-2025-f-9/AI-assisted design of experiments at the frontiers of computation: methods and new perspectiveshttps://phinder-eic.github.io/publication/vischia-2025/Wed, 01 Jan 2025 00:00:00 +0000https://phinder-eic.github.io/publication/vischia-2025/Automatic Optimization of a Parallel-Plate Avalanche Counter with Optical Readouthttps://phinder-eic.github.io/publication/particles-8010026/Wed, 01 Jan 2025 00:00:00 +0000https://phinder-eic.github.io/publication/particles-8010026/Bias Reduction Using Expectation Maximization in the Optimization of an AI-Assisted Muon Tomography Systemhttps://phinder-eic.github.io/publication/dela-puente-santos-20252-q/Wed, 01 Jan 2025 00:00:00 +0000https://phinder-eic.github.io/publication/dela-puente-santos-20252-q/Bringing Automatic Differentiation to CUDA with Compiler-Based Source Transformationshttps://phinder-eic.github.io/publication/koutsou-2025-qv/Wed, 01 Jan 2025 00:00:00 +0000https://phinder-eic.github.io/publication/koutsou-2025-qv/Design optimization of hadronic calorimeters for future collidershttps://phinder-eic.github.io/publication/de-matos-rodrigues-2025-z/Wed, 01 Jan 2025 00:00:00 +0000https://phinder-eic.github.io/publication/de-matos-rodrigues-2025-z/Development and Explainability of Models for Machine-Learning-Based Reconstruction of Signals in Particle Detectorshttps://phinder-eic.github.io/publication/particles-8020048/Wed, 01 Jan 2025 00:00:00 +0000https://phinder-eic.github.io/publication/particles-8020048/Differentiable Deep Learning Surrogate Models Applied to the Optimization of the IFMIF-DONES Facilityhttps://phinder-eic.github.io/publication/particles-8010021/Wed, 01 Jan 2025 00:00:00 +0000https://phinder-eic.github.io/publication/particles-8010021/End-to-End Detector Optimization with Diffusion models: A Case Study in Sampling Calorimetershttps://phinder-eic.github.io/publication/schmidt-2025-endtoenddetectoroptimizationdiffusion/Wed, 01 Jan 2025 00:00:00 +0000https://phinder-eic.github.io/publication/schmidt-2025-endtoenddetectoroptimizationdiffusion/End-to-End Detector Optimization with Diffusion Models: A Case Study in Sampling Calorimetershttps://phinder-eic.github.io/publication/particles-8020047/Wed, 01 Jan 2025 00:00:00 +0000https://phinder-eic.github.io/publication/particles-8020047/From Light to Muons: Towards a Unified Framework for Physics-based 3D Scene Reconstructionhttps://phinder-eic.github.io/publication/sattler-2025-t-q/Wed, 01 Jan 2025 00:00:00 +0000https://phinder-eic.github.io/publication/sattler-2025-t-q/Gradient-descent-based reconstruction for muon tomography based on automatic differentiation in PyTorchhttps://phinder-eic.github.io/publication/alameddine-2025-qq/Wed, 01 Jan 2025 00:00:00 +0000https://phinder-eic.github.io/publication/alameddine-2025-qq/Hadron Identification Prospects with Granular Calorimetershttps://phinder-eic.github.io/publication/particles-8020058/Wed, 01 Jan 2025 00:00:00 +0000https://phinder-eic.github.io/publication/particles-8020058/Information Field Theory for Two Applications in Astroparticle Physicshttps://phinder-eic.github.io/publication/particles-8020039/Wed, 01 Jan 2025 00:00:00 +0000https://phinder-eic.github.io/publication/particles-8020039/Machine Learning Approach to Shield Optimization at Muon Colliderhttps://phinder-eic.github.io/publication/particles-8010025/Wed, 01 Jan 2025 00:00:00 +0000https://phinder-eic.github.io/publication/particles-8010025/Muographic Image Upsampling with Machine Learning for Built Infrastructure Applicationshttps://phinder-eic.github.io/publication/particles-8010033/Wed, 01 Jan 2025 00:00:00 +0000https://phinder-eic.github.io/publication/particles-8010033/Neuromorphic Readout for Hadron Calorimetershttps://phinder-eic.github.io/publication/particles-8020052/Wed, 01 Jan 2025 00:00:00 +0000https://phinder-eic.github.io/publication/particles-8020052/Optimisation of Muon Tomography Scanners for Border Control Using TomOpthttps://phinder-eic.github.io/publication/particles-8020053/Wed, 01 Jan 2025 00:00:00 +0000https://phinder-eic.github.io/publication/particles-8020053/Optimization pipeline for in-ice radio neutrino detectorshttps://phinder-eic.github.io/publication/ravn-2025-an/Wed, 01 Jan 2025 00:00:00 +0000https://phinder-eic.github.io/publication/ravn-2025-an/Porting MADGRAPH to FPGA Using High-Level Synthesis (HLS)https://phinder-eic.github.io/publication/particles-8030063/Wed, 01 Jan 2025 00:00:00 +0000https://phinder-eic.github.io/publication/particles-8030063/Production Optimization of Exotic Hypernuclei via Heavy-Ion Beams at GSI-FAIRhttps://phinder-eic.github.io/publication/particles-8020054/Wed, 01 Jan 2025 00:00:00 +0000https://phinder-eic.github.io/publication/particles-8020054/Scattering-Based Machine Learning Algorithms for Momentum Estimation in Muon Tomographyhttps://phinder-eic.github.io/publication/particles-8020043/Wed, 01 Jan 2025 00:00:00 +0000https://phinder-eic.github.io/publication/particles-8020043/Unsupervised Particle Tracking with Neuromorphic Computinghttps://phinder-eic.github.io/publication/particles-8020040/Wed, 01 Jan 2025 00:00:00 +0000https://phinder-eic.github.io/publication/particles-8020040/Versal Adaptive Compute Acceleration Platform Processing for ATLAS-TileCal Signal Reconstructionhttps://phinder-eic.github.io/publication/particles-8020049/Wed, 01 Jan 2025 00:00:00 +0000https://phinder-eic.github.io/publication/particles-8020049/TomOpt: differential optimisation for task- and constraint-aware design of particle detectors in the context of muon tomographyhttps://phinder-eic.github.io/publication/strong-2024/Mon, 01 Jul 2024 00:00:00 +0000https://phinder-eic.github.io/publication/strong-2024/Optimization Using Pathwise Algorithmic Derivatives of Electromagnetic Shower Simulationshttps://phinder-eic.github.io/publication/aehle-2024-optimizationusingpathwisealgorithmic/Mon, 01 Jan 2024 00:00:00 +0000https://phinder-eic.github.io/publication/aehle-2024-optimizationusingpathwisealgorithmic/Differentiable Matrix Elements with MadJaxhttps://phinder-eic.github.io/publication/heinrich-2023/Wed, 01 Feb 2023 00:00:00 +0000https://phinder-eic.github.io/publication/heinrich-2023/neos: End-to-End-Optimised Summary Statistics for High Energy Physicshttps://phinder-eic.github.io/publication/simpson-2023/Wed, 01 Feb 2023 00:00:00 +0000https://phinder-eic.github.io/publication/simpson-2023/Branches of a Tree: Taking Derivatives of Programs with Discrete and Branching Randomness in High Energy Physicshttps://phinder-eic.github.io/publication/kagan-2023-branchestreetakingderivatives/Sun, 01 Jan 2023 00:00:00 +0000https://phinder-eic.github.io/publication/kagan-2023-branchestreetakingderivatives/Calorimetric Measurement of Multi-TeV Muons via Deep Regressionhttps://phinder-eic.github.io/publication/kieseler-2022/Sat, 01 Jan 2022 00:00:00 +0000https://phinder-eic.github.io/publication/kieseler-2022/Deep Regression of Muon Energy with a K-Nearest Neighbor Algorithmhttps://phinder-eic.github.io/publication/dorigo-2022-deepregressionmuonenergy/Sat, 01 Jan 2022 00:00:00 +0000https://phinder-eic.github.io/publication/dorigo-2022-deepregressionmuonenergy/Optimising longitudinal and lateral calorimeter granularity for software compensation in hadronic showers using deep neural networkshttps://phinder-eic.github.io/publication/neub-ser-2022/Sat, 01 Jan 2022 00:00:00 +0000https://phinder-eic.github.io/publication/neub-ser-2022/Toward the End-to-End Optimization of Particle Physics Instruments with Differentiable Programming: a White Paperhttps://phinder-eic.github.io/publication/dorigo-2022-endtoendoptimizationparticlephysics/Sat, 01 Jan 2022 00:00:00 +0000https://phinder-eic.github.io/publication/dorigo-2022-endtoendoptimizationparticlephysics/Toward Machine Learning Optimization of Experimental Designhttps://phinder-eic.github.io/publication/baydin-02012021/Fri, 01 Jan 2021 00:00:00 +0000https://phinder-eic.github.io/publication/baydin-02012021/Object condensation: one-stage grid-free multi-object reconstruction in physics detectors, graph, and image datahttps://phinder-eic.github.io/publication/kieseler-2020/Tue, 01 Sep 2020 00:00:00 +0000https://phinder-eic.github.io/publication/kieseler-2020/The frontier of simulation-based inferencehttps://phinder-eic.github.io/publication/cranmer-2020/Fri, 01 May 2020 00:00:00 +0000https://phinder-eic.github.io/publication/cranmer-2020/Adversarial Variational Optimization of Non-Differentiable Simulatorshttps://phinder-eic.github.io/publication/louppe-2020-adversarialvariationaloptimizationnondifferentiable/Wed, 01 Jan 2020 00:00:00 +0000https://phinder-eic.github.io/publication/louppe-2020-adversarialvariationaloptimizationnondifferentiable/Black-box optimization with local generative surrogateshttps://phinder-eic.github.io/publication/10-5555-3495724-3496952/Wed, 01 Jan 2020 00:00:00 +0000https://phinder-eic.github.io/publication/10-5555-3495724-3496952/Geometry optimization of a muon-electron scattering detectorhttps://phinder-eic.github.io/publication/dorigo-2020100022/Wed, 01 Jan 2020 00:00:00 +0000https://phinder-eic.github.io/publication/dorigo-2020100022/MadMiner: Machine learning-based inference for particle physicshttps://phinder-eic.github.io/publication/brehmer-2019-xox/Wed, 01 Jan 2020 00:00:00 +0000https://phinder-eic.github.io/publication/brehmer-2019-xox/ML-assisted versatile approach to Calorimeter R&Dhttps://phinder-eic.github.io/publication/boldyrev-2020-ydy/Wed, 01 Jan 2020 00:00:00 +0000https://phinder-eic.github.io/publication/boldyrev-2020-ydy/Muon Energy Measurement from Radiative Losses in a Calorimeter for a Collider Detectorhttps://phinder-eic.github.io/publication/dorigo-2020-muonenergymeasurementradiative/Wed, 01 Jan 2020 00:00:00 +0000https://phinder-eic.github.io/publication/dorigo-2020-muonenergymeasurementradiative/Using machine learning to speed up new and upgrade detector studies: a calorimeter casehttps://phinder-eic.github.io/publication/ratnikov-2020/Wed, 01 Jan 2020 00:00:00 +0000https://phinder-eic.github.io/publication/ratnikov-2020/INFERNO: Inference-Aware Neural Optimisationhttps://phinder-eic.github.io/publication/decastro-2019170/Tue, 01 Jan 2019 00:00:00 +0000https://phinder-eic.github.io/publication/decastro-2019170/A portable muon telescope based on small and gas-tight resistive plate chambershttps://phinder-eic.github.io/publication/wuyckens-2018/Sat, 01 Dec 2018 00:00:00 +0000https://phinder-eic.github.io/publication/wuyckens-2018/Automatic differentiation in machine learning: a surveyhttps://phinder-eic.github.io/publication/10-5555-3122009-3242010/Sun, 01 Jan 2017 00:00:00 +0000https://phinder-eic.github.io/publication/10-5555-3122009-3242010/Approximating Likelihood Ratios with Calibrated Discriminative Classifiershttps://phinder-eic.github.io/publication/cranmer-2016-approximatinglikelihoodratioscalibrated/Fri, 01 Jan 2016 00:00:00 +0000https://phinder-eic.github.io/publication/cranmer-2016-approximatinglikelihoodratioscalibrated/iMPACT: Innovative pCT scannerhttps://phinder-eic.github.io/publication/7581240/Thu, 01 Jan 2015 00:00:00 +0000https://phinder-eic.github.io/publication/7581240/