Cover Image

A Start To End Machine Learning Approach To Maximize Scientific Throughput From The LCLS-II-HE

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mishra, Aashwin, Seaberg, Matt, Roussel, Ryan, Poitevin, Fred, Thayer, Jana, Ratner, Daniel, Edelen, Auralee, Mehta, Apurva
Format:	Preprint
Published:	2025
Subjects:	Instrumentation and Detectors Machine Learning High Energy Physics - Experiment
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Data Driven Drift Correction For Complex Optical Systems
by: Mishra, Aashwin, et al.
Published: (2025)

Domain Knowledge Guided Bayesian Optimization For Autonomous Alignment Of Complex Scientific Instruments
by: Mishra, Aashwin, et al.
Published: (2026)

Deep Learning Enabled Nanoscale X-ray Photoemission Electron Microscopy (nanoXPEEM)
by: Mishra, Aashwin, et al.
Published: (2025)

The LCLStream Ecosystem for Multi-Institutional Dataset Exploration
by: Rogers, David, et al.
Published: (2025)

Autonomous operation of the DIAG0 diagnostic line for 6D phase-space monitoring at LCLS-II
by: Roussel, Ryan, et al.
Published: (2026)

The chemRIXS Instrument for the LCLS-II X-Ray Free Electron Laser
by: Hoffman, David J., et al.
Published: (2026)

X-ray Microscopy and Talbot Imaging with the Matter in Extreme Conditions X-ray Imager at LCLS
by: Galtier, Eric, et al.
Published: (2024)

Emittance Minimization for Aberration Correction II: Physics-informed Bayesian Optimization of an Electron Microscope
by: Ma, Desheng, et al.
Published: (2024)

Multi-Objective Bayesian Active Learning for MeV-ultrafast electron diffraction
by: Ji, Fuhao, et al.
Published: (2024)

FPGA-Accelerated SpeckleNN with SNL for Real-time X-ray Single-Particle Imaging
by: Dave, Abhilasha, et al.
Published: (2025)

Emittance Minimization for Aberration Correction I: Aberration correction of an electron microscope without knowing the aberration coefficients
by: Ma, Desheng, et al.
Published: (2024)

Progress in End-to-End Optimization of Detectors for Fundamental Physics with Differentiable Programming
by: Aehle, Max, et al.
Published: (2023)

Active Learning for Rapid Targeted Synthesis of Compositionally Complex Alloys
by: Johnson, Nathan, et al.
Published: (2024)

Discrete Wavelet Transform for Serial X-ray Crystallography Image Segmentation
by: Doering, Dionisio, et al.
Published: (2026)

A Fragile Number Sense: Probing the Elemental Limits of Numerical Reasoning in LLMs
by: Rahman, Roussel, et al.
Published: (2025)

CTPX1: A Highly Integrated and High-Throughput Data-Driven Camera Based on Timepix4
by: Li, Qicai, et al.
Published: (2026)

An Open-Source Framework for Rapid Validation of Scientific ASICs
by: Quinn, Adam
Published: (2024)

DUNE Phase II: Scientific Opportunities, Detector Concepts, Technological Solutions
by: DUNE Collaboration, et al.
Published: (2024)

Development of a Photon-Counting Deadtime Noise Model that Extends Dynamic Range and Resolution in Atmospheric Lidar
by: Kirchhoff, Grant J., et al.
Published: (2025)

Neutron Yield of Thermo Scientific P385 D-T Neutron Generator vs. Current and Voltage
by: Jeon, Jihye, et al.
Published: (2024)

Finding the Maximal Contrast of Two Elliptical Gaussian Mode Beams with Aligned Ellipticities
by: Zhu, Mark, et al.
Published: (2025)

femto-PIXAR: a neural network method for reconstruction of femtosecond X-ray free electron laser pulse energy
by: Goetzke, Gesa, et al.
Published: (2025)

Characterization of the ATLAS Liquid Argon Front-End ASIC ALFE2 for the HL-LHC upgrade
by: Matakias, D., et al.
Published: (2024)

A Back-End Electronics Based on Fiber Communication for Small to Medium-Scale Physics Experiments
by: Liu, Jianguo, et al.
Published: (2024)

Towards single-shot coherent imaging via overlap-free ptychography
by: Hoidn, Oliver, et al.
Published: (2026)

Maximizing NMR Sensitivity: A Guide to Receiver Gain Adjustment
by: Peters, Josh P., et al.
Published: (2024)

Uncertainty Propagation within Chained Models for Machine Learning Reconstruction of Neutrino-LAr Interactions
by: Douglas, Daniel, et al.
Published: (2024)

The DUNE Phase II Detectors
by: DUNE Collaboration, et al.
Published: (2025)

End-to-end design of multicolor scintillators for enhanced energy resolution in X-ray imaging
by: Min, Seokhwan, et al.
Published: (2024)

Millimeter-Wave Transmission-Line Reflectionless Filters
by: Morgan, Matthew A., et al.
Published: (2025)

Looking Forward: A High-Throughput Track Following Algorithm for Parallel Architectures
by: Bailly-Reyre, Aurelien, et al.
Published: (2024)

End-to-End Multi-Track Reconstruction using Graph Neural Networks at Belle II
by: Reuter, Lea, et al.
Published: (2024)

TOP detector for particle identification at Belle II
by: Torassa, Ezio
Published: (2024)

Software Compensation for Highly Granular Calorimeters using Machine Learning
by: Lai, S., et al.
Published: (2024)

Cluster Reconstruction in Electromagnetic Calorimeters Using Machine Learning Methods
by: Dimitrova, Kalina, et al.
Published: (2025)

Machine Learning Optimization of BEGe Detector Event Selection in the VIP Experiment
by: Manti, Simone, et al.
Published: (2025)

Machine learning methods for subpixel trajectory reconstruction in discretized position detectors
by: Romano, Matthew Mark, et al.
Published: (2025)

On characterizing X-ray detectors for low-dose imaging
by: Sakhatskyi, Kostiantyn, et al.
Published: (2024)

An indirect geometry crystal time-of-flight spectrometer for FRM II
by: Tang, Ran, et al.
Published: (2024)

Shower Separation in Five Dimensions for Highly Granular Calorimeters using Machine Learning
by: Lai, S., et al.
Published: (2024)