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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
License: http://creativecommons.org/licenses/by/2.0/legalcode
Data sources: ZENODO
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BOOSTR: A Dataset for Accelerator Control Systems (Partial Release 2020)

Research datakeyboard_double_arrow_right Dataset 14 Oct 2020 English Publisher:Zenodo
Authors: Kafkes, Diana; St. John, Jason;

doi: 10.5281/zenodo.4088981 , 10.5281/zenodo.4088982

BOOSTR: A Dataset for Accelerator Control Systems (Partial Release 2020)

Abstract

BOOSTR (Booster Operation Optimization Sequential Time-Series for Regression) was created to provide cycle-by-cycle time series of readings and settings from instruments and controllable devices of the Booster, the 15~Hz Rapid-Cycling Synchrotron (RCS) at Fermilab. We are preliminarily releasing one day of it in the hopes that it— and future versions of it— can be used as a dataset to demonstrate other aspects of artificial intelligence for advanced control systems. For more information, please see our accompanying Datasheet.

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Keywords

reinforcement learning, operational control systems, artificial intelligence, accelerator control

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
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