SparkPix-RT

SparkPix-RT2

The SparkPix-RT project aims to develop next-generation intelligent X-ray detectors and co-designed AI/ML architectures for real-time data processing, enabling autonomous experiments and ultra-high-resolution imaging at next-gen light sources like LCLS-II and APS-U.

Key Objectives

  • Co-design multi-tiered hardware/software pipelines with real-time feedback for autonomous experiments.
  • Design advanced X-ray detectors with picosecond timing, MHz/GHz frame rates, and expanded sensitivity for ultrafast science.
  • Integrate FPGA-based edge computing and ML/AI workflows for dynamic data extraction and compression during experiments.
  • Optimize sensor and ASIC technologies for high dynamic range, resolution, and efficiency across energy ranges.

Partners & Collaborators

Angelo Dragone (PI, SLAC)

Jana Thayer (SLAC)

Srabanti Chowdhury (Stanford)

Ryan Coffee (SLAC)

Farah Fahim (FermiLab)

Arianna Gelason (SLAC)

Carl Grace (LBNL)

Ryan Herbst (SLAC)

James Hoff (FermiLab)

Christopher Kenney (SLAC)

Hartmut Sadrozinski (UC Santa Cruz)

Abraham Seiden (UC Santa Cruz)

Debbie Senesky (Stanford)

Diling Zhu (SLAC)

Publications

A lightweight, user-configurable detector ASIC digital architecture with on-chip data compression for MHz X-ray coherent diffraction imaging, S. Strempfer, T. Zhou, K. Yoshii, M. Hammer, A. Babu, D. Bycul, J. Weizeorick, M J. Cherukara, A. Miceli, Journals of Instrumentation, 17 P10042 (2022), https://doi.org/10.1088/1748-0221/17/10/P10042

Design of the digital readout of the prototype SparkPix-RT ASIC with variable data velocity, M. P. Hammer, A. Gupta, H. Shi, S. Strempfer, L. Rota, P. King, J. Weizeorick, K. Yoshii, T. Zhou, A. Pena-Perez, B. Markovic, D. Doering, J. Thayer, A. Dragone, A. Miceli, IEEE Nuclear Science Symposium, (NSS MIC RTSD), (2023), https://doi.org/10.1109/NSSMICRTSD49126.2023.10338327

SparkPix-RT: An ASIC for X-ray imaging using on-chip data compression techniques, A. Gupta, M. P. Hammer, H. Shi, S. Strempfer, L. Rota, P. King, J. Weizeorick, K. Yoshii, T. Zhou, A. Pena-Perez, B. Markovic, D. Doering, J. Thayer, A. Dragone, A. Miceli, IEEE Nuclear Science Symposium, (NSS MIC RTSD), (2023)

SparkPix-RT2: The design of a 192× 168 pixel detector ASIC with on-chip data processing for ultra-fast photon science, A Gupta, D Doering, MP Hammer, H Shi, J Weizeorick, S Strempfer, SM Gnanasekaran, P King, AP Perez, H Kim, L Rota, L Ruckman, K Yoshii, B Reese, B Markovic, T Zhou, A Dragone, A Miceli, 2024 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD), https://doi.org/10.1109/NSS/MIC/RTSD57108.2024.10657530

Characterization of SparkPix-RT1: A 48x48 charge-integrating X-ray pixel detector with on-chip compression, S Strempfer, D Doering, M Hammer, H Shi, J Weizeorick, SM Gnanasekaran, A Gupta, P King, H Kim, A Pena-Perez, L Rota, L Ruckman, B Reese, B Markovic, A Dragone, A Miceli, 2024 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD), https://doi.org/10.1109/NSS/MIC/RTSD57108.2024.10656486