Abstract

The Booster Operation Optimization Sequential Time-series for Regression (BOOSTR) dataset was created to provide a cycle-by-cycle time series of readings and settings from instruments and controllable devices of the Booster, Fermilab’s Rapid-Cycling Synchrotron (RCS) operating at 15 Hz. BOOSTR provides a time series from 55 device readings and settings that pertain most directly to the high-precision regulation of the Booster’s gradient magnet power supply (GMPS). To our knowledge, this is one of the first well-documented datasets of accelerator device parameters made publicly available. We are releasing it in the hopes that it can be used to demonstrate aspects of artificial intelligence for advanced control systems, such as reinforcement learning and autonomous anomaly detection.

Highlights

  • Tuning and controlling particle accelerators is both challenging and time-consuming

  • Some 200,000 entries populate the device database of Fermilab’s accelerator control system [2], the 55 device value time series presented here in Booster Operation Optimization Sequential Time-series for Regression (BOOSTR) [3] were collected in accordance with suggestion by Fermilab accelerator subject matter experts (SMEs)

  • A Python script managed by a nightly cron job polled the data collection node for the most recent midnight-to-midnight 24 h of timestamped data for each of the 55 time series identified by the SMEs

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Summary

Introduction

Tuning and controlling particle accelerators is both challenging and time-consuming. Even marginal improvements to accelerator operation can translate very efficiently into improved scientific yield for an experimental particle physics program. The Fermilab Booster receives a 400 MeV proton beam from the linear accelerator and accelerates it to 8 GeV through synchronously raising accelerator cavity radiofrequency and instigating a controlled magnetic field to steer the beam with combined-function bending and focusing electromagnets, known as gradient magnets These magnets are powered by the GMPS, which operates on a 15 Hz cycle between a minimum current (at injection) and a maximum current (at beam extraction). Some 200,000 entries populate the device database of Fermilab’s accelerator control system [2], the 55 device value time series presented here in BOOSTR [3] were collected in accordance with suggestion by Fermilab accelerator subject matter experts (SMEs) These values include PID controller settings and readings as well as values that exhibit correlations with GMPS power supply perturbations. Relative to the original datasheet [4], this manuscript is expanded with more SME input, describes more than 100 times more data, and includes documentation of validation not presented in the original datasheet

Collection Process
Data Processing
Data Description
207 Acknowledgments
Technical Validation
Findings
Usage Notes
Full Text
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