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HL-LHC Regression Model Deep Dive
A deep dive into the regression models being developed for the HL-LHC era as part of the SmartPixels collaboration.
Smart Pixels
Smart Pixels is a project focused on implementing machine learning models directly on silicon pixels or future detectors to enhance the inference of charged particle track …
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1 min read
PQuant: Streamlining ML Model Compression to Deployment for Next-Gen Detector Systems
PQuant/PQuantML: config-driven pruning + quantization pipeline (PyTorch/TensorFlow) with hardware-aware MDMM optimization; aimed at FPGA/ASIC deployment workflows (hls4ml …
In-pixel integration of signal processing and AI/ML based data filtering for particle tracking detectors
In-pixel signal processing with integrated AI-based filtering for real-time data reduction in tracking detectors.
Benjamin parpillon
Sensor Co-design for smartpixels
Sensor/algorithm co-design studies for smart pixel filtering: geometry, magnetic field, radiation damage, and noise.
Danush shekar
Performance measurements of the electromagnetic calorimeter and readout electronics system for the DarkQuest experiment
Performance characterization of the DarkQuest electromagnetic calorimeter and its readout electronics.
Aram apyan
Di-Higgs (bbττ) Analysis
Di-Higgs (bbττ) is a search for two boosted (high transverse momentum) Higgs bosons decaying into two beauty quarks ($b$) and two tau leptons ($\tau$). This analysis focuses on Run …
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1 min read
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QPOs in Compact Sources as a Nonlinear Hydrodynamical Resonance: Determining Spin of Compact Objects
Nonlinear hydrodynamical resonance model with Euler Fluid for modified QPOs, enabling spin determination of NS & BH.
Arghya ranjan das
Asymptotically flat vacuum solution for a rotating black hole in a modified gravity theory
Vacuum rotating black-hole solution in an asymptotically flat modified gravity theory.
Arghya ranjan das