Laser Inertial Fusion
Advanced Pulse-to-Pulse Stabilization of Laser via Machine Learning 2025-036
A machine learning approach to correcting laser pointing errors in real time, serving as a robust implementation of predictive control in high-power, low-repetition rate lasers for pulse-to-pulse stabilization.
Investigators: Qiang Du, Dan Wang, Alessio Amodio, Curtis Berger, Anthony Gonsalves, Hai-En Tsai, Samuel Barber, Jeroen van Tilborg, Russell Wilcox, Alex Picksley, Zak Eisentraut, Neel Rajeshbhai Vora, Mahek Logantha, Qing Ji
Distributed Cryogenic Temperature Sensor for Superconducting Magnets 2025-147
A distributed cryogenic temperature sensing system that combines the best features of fiber-optic and ultrasonic sensing. The invention integrates a novel material as the dielectric in a radio-frequency transmission line or coaxial cable. This technology addresses a critical gap in high-sensitivity temperature monitoring at deep cryogenic temperatures, where existing methods like fiber-optic sensors lack adequate performance.
Investigator: Maxim Martchevskii
Coherently-Spectrally Synthesized Optical Pulse Shaping and Amplification for High Power Ultrashort Laser Pulses 2024-005
A method of coherently-spectrally synthesizing optical pulse shaping and amplification, allowing for precise control over spectral intensity and phase programming across a wide spectrum.
Inventors: Tong Zhou, Siyun Chen, Qiang Du, Dan Wang, Russell Wilcox, Cameron Geddes
Contact for nuclear fusion technologies: Lucian Sweitzer, lsweitzer@lbl.gov
Radiation Detection and Mapping
Multimodal Free-moving Data Fusion for Gamma Ray Imaging Analysis 2021-015
A Python package called Multimodal Free-moving Data Fusion (MFDF) that implements low and high-level functionality for performing qualitative and quantitative gamma-ray imaging analyses. Such analyses enable the use of gamma-ray spectrometers and/or imagers to estimate the distribution and quantity of radiological materials in an environment.
Investigators: Tenzing Joshi, Alex Moran, Marco Salathe, Reynold Cooper, Brian Quiter, Jayson Vavrek, Mark Bandstra, Joseph Curtis, Daniel Hellfeld
Radkit Software for Analysis of Light and Ionizing Radiation Data 2021-084
A software suite (Python) that consists of three primary libraries: trajan, curie, and stark. The trajan library provides the tools to analyze and manipulate data from lidar and inertial measurement unit (IMU) devices as well as trajectories from algorithms such as simultaneous localization and mapping (SLAM). These components facilitate reading and writing standard data formats, performing geometric transformations, representing three-dimensional space, and visualizing data products. The curie library comprises a standard set of object-oriented tools for radiation data and analysis. The stark package provides low-level tools that are leveraged by both curie and trajan.
Investigators: Tenzing Joshi, Micah Folsom, Nicolas Abgrall, Daniel Hellfeld, Joseph Curtis, Alex Moran, Marco Salathe, Reynold Cooper, Brian Quiter, Jayson Vavrek, Mark Bandstra
Contact for radiation detection and mapping technologies: Sebastian Ainslie, sainslie@lbl.gov
