ICALEPCS2023 - List of Authors (Hanlet, P.M.)

Paper	Title	Page
TU1BCO06	Disentangling Beam Losses in The Fermilab Main Injector Enclosure Using Real-Time Edge AI	273
	K.J. Hazelwood, J.M.S. Arnold, M.R. Austin, J.R. Berlioz, P.M. Hanlet, M.A. Ibrahim, A.T. Livaudais-Lewis, J. Mitrevski, V.P. Nagaslaev, A. Narayanan, D.J. Nicklaus, G. Pradhan, A.L. Saewert, B.A. Schupbach, K. Seiya, R.M. Thurman-Keup, N.V. Tran Fermilab, Batavia, Illinois, USA J.YC. Hu, J. Jiang, H. Liu, S. Memik, R. Shi, A.M. Shuping, M. Thieme, C. Xu Northwestern University, Evanston, Illinois, USA A. Narayanan Northern Illinois University, DeKalb, Illinois, USA
	The Fermilab Main Injector enclosure houses two accelerators, the Main Injector and Recycler Ring. During normal operation, high intensity proton beams exist simultaneously in both. The two accelerators share the same beam loss monitors (BLM) and monitoring system. Deciphering the origin of any of the 260 BLM readings is often difficult. The (Accelerator) Real-time Edge AI for Distributed Systems project, or READS, has developed an AI/ML model, and implemented it on fast FPGA hardware, that disentangles mixed beam losses and attributes probabilities to each BLM as to which machine(s) the loss originated from in real-time. The model inferences are then streamed to the Fermilab accelerator controls network (ACNET) where they are available for operators and experts alike to aid in tuning the machines.
DOI •	reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-TU1BCO06
About •	Received ※ 06 October 2023 — Revised ※ 11 October 2023 — Accepted ※ 15 November 2023 — Issued ※ 06 December 2023
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

TUSDSC04	State Machine Operation of Complex Systems	929
	P.M. Hanlet Fermilab, Batavia, Illinois, USA
	Operation of complex systems which depend on one or more other systems with many process variables often operate in more than one state. For each state there may be a variety of parameters of interest, and for each of these, one may require different alarm limits, different archiving needs, and have different critical parameters. Relying on operators to reliably change 10s-1000s of parameters for each system for each state is unreasonable. Not changing these parameters results in alarms being ignored or disabled, critical changes missed, and/or possible data archiving problems. To reliably manage the operation of complex systems, such as cryomodules (CMs), Fermilab is implementing state machines for each CM and an over-arching state machine for the PIP-II superconducting linac (SCL). The state machine transitions and operating parameters are stored/restored to/from a configuration database. Proper implementation of the state machines will not only ensure safe and reliable operation of the CMs, but will help ensure reliable data quality. A description of PIP-II SCL, details of the state machines, and lessons learned from limited use of the state machines in recent CM testing will be discussed.
	Slides TUSDSC04 [6.117 MB]
	Poster TUSDSC04 [1.031 MB]
DOI •	reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-TUSDSC04
About •	Received ※ 06 October 2023 — Revised ※ 23 October 2023 — Accepted ※ 11 December 2023 — Issued ※ 17 December 2023
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

WE2BCO06	EPICS Deployment at Fermilab	997
	P.M. Hanlet, J.S. Diamond, M. Gonzalez, K.S. Martin Fermilab, Batavia, Illinois, USA
	Fermilab has traditionally not been an EPICS house, as such expertise in EPICS is limited and scattered. However, PIP-II will be using EPICS for its control system. Furthermore, when PIP-II is operating, it must to interface with the existing, though modernized (see ACORN) legacy control system. We have developed and deployed a software pipeline that addresses these needs and presents to developers a tested and robust software framework, including template IOCs from which new developers can quickly gain experience. In this presentation, we will discuss the motivation for this work, the implementation of a continuous integration/continuous deployment pipeline, testing, template IOCs, and the deployment of user applications. We will also discuss how this is used with the current PIP-II teststand and lessons learned.
	Slides WE2BCO06 [2.860 MB]
DOI •	reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-WE2BCO06
About •	Received ※ 06 October 2023 — Revised ※ 23 October 2023 — Accepted ※ 11 December 2023 — Issued ※ 17 December 2023
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

FR1BCO02	Controls at the Fermilab PIP-II Superconducting Linac	1607
	D.J. Nicklaus, P.M. Hanlet Fermilab, Batavia, Illinois, USA
	PIP-II is an 800 MeV superconducting RF linac under development at Fermilab. As the new first stage in our accelerator chain, it will deliver high-power beam to multiple experiments simultaneously and thus drive Fermilab’s particle physics program for years to come. In a pivot for Fermilab, controls for PIP-II are based on EPICS instead of ACNET, the legacy control system for accelerators at the lab. This paper discusses the status of the EPICS controls work for PIP-II. We describe the EPICS tools selected for our system and the experience of operators new to EPICS. We introduce our continuous integration / continuous development environment. We also describe some efforts at cooperation between EPICS and ACNET, or efforts to move towards a unified interface that can apply to both control systems.
	Slides FR1BCO02 [4.528 MB]
DOI •	reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-FR1BCO02
About •	Received ※ 04 October 2023 — Revised ※ 12 October 2023 — Accepted ※ 10 December 2023 — Issued ※ 11 December 2023
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

Paper

Title

Page

Disentangling Beam Losses in The Fermilab Main Injector Enclosure Using Real-Time Edge AI

273

K.J. Hazelwood, J.M.S. Arnold, M.R. Austin, J.R. Berlioz, P.M. Hanlet, M.A. Ibrahim, A.T. Livaudais-Lewis, J. Mitrevski, V.P. Nagaslaev, A. Narayanan, D.J. Nicklaus, G. Pradhan, A.L. Saewert, B.A. Schupbach, K. Seiya, R.M. Thurman-Keup, N.V. Tran
Fermilab, Batavia, Illinois, USA
J.YC. Hu, J. Jiang, H. Liu, S. Memik, R. Shi, A.M. Shuping, M. Thieme, C. Xu
Northwestern University, Evanston, Illinois, USA
A. Narayanan
Northern Illinois University, DeKalb, Illinois, USA

The Fermilab Main Injector enclosure houses two accelerators, the Main Injector and Recycler Ring. During normal operation, high intensity proton beams exist simultaneously in both. The two accelerators share the same beam loss monitors (BLM) and monitoring system. Deciphering the origin of any of the 260 BLM readings is often difficult. The (Accelerator) Real-time Edge AI for Distributed Systems project, or READS, has developed an AI/ML model, and implemented it on fast FPGA hardware, that disentangles mixed beam losses and attributes probabilities to each BLM as to which machine(s) the loss originated from in real-time. The model inferences are then streamed to the Fermilab accelerator controls network (ACNET) where they are available for operators and experts alike to aid in tuning the machines.

DOI •

reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-TU1BCO06

About •

Received ※ 06 October 2023 — Revised ※ 11 October 2023 — Accepted ※ 15 November 2023 — Issued ※ 06 December 2023

Cite •

reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

TUSDSC04

State Machine Operation of Complex Systems

929

P.M. Hanlet
Fermilab, Batavia, Illinois, USA

Operation of complex systems which depend on one or more other systems with many process variables often operate in more than one state. For each state there may be a variety of parameters of interest, and for each of these, one may require different alarm limits, different archiving needs, and have different critical parameters. Relying on operators to reliably change 10s-1000s of parameters for each system for each state is unreasonable. Not changing these parameters results in alarms being ignored or disabled, critical changes missed, and/or possible data archiving problems. To reliably manage the operation of complex systems, such as cryomodules (CMs), Fermilab is implementing state machines for each CM and an over-arching state machine for the PIP-II superconducting linac (SCL). The state machine transitions and operating parameters are stored/restored to/from a configuration database. Proper implementation of the state machines will not only ensure safe and reliable operation of the CMs, but will help ensure reliable data quality. A description of PIP-II SCL, details of the state machines, and lessons learned from limited use of the state machines in recent CM testing will be discussed.

Slides TUSDSC04 [6.117 MB]

Poster TUSDSC04 [1.031 MB]

DOI •

reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-TUSDSC04

About •

Received ※ 06 October 2023 — Revised ※ 23 October 2023 — Accepted ※ 11 December 2023 — Issued ※ 17 December 2023

Cite •

reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

WE2BCO06

EPICS Deployment at Fermilab

997

P.M. Hanlet, J.S. Diamond, M. Gonzalez, K.S. Martin
Fermilab, Batavia, Illinois, USA

Fermilab has traditionally not been an EPICS house, as such expertise in EPICS is limited and scattered. However, PIP-II will be using EPICS for its control system. Furthermore, when PIP-II is operating, it must to interface with the existing, though modernized (see ACORN) legacy control system. We have developed and deployed a software pipeline that addresses these needs and presents to developers a tested and robust software framework, including template IOCs from which new developers can quickly gain experience. In this presentation, we will discuss the motivation for this work, the implementation of a continuous integration/continuous deployment pipeline, testing, template IOCs, and the deployment of user applications. We will also discuss how this is used with the current PIP-II teststand and lessons learned.

Slides WE2BCO06 [2.860 MB]

DOI •

reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-WE2BCO06

About •

Received ※ 06 October 2023 — Revised ※ 23 October 2023 — Accepted ※ 11 December 2023 — Issued ※ 17 December 2023

Cite •

reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

FR1BCO02

Controls at the Fermilab PIP-II Superconducting Linac

1607

D.J. Nicklaus, P.M. Hanlet
Fermilab, Batavia, Illinois, USA

PIP-II is an 800 MeV superconducting RF linac under development at Fermilab. As the new first stage in our accelerator chain, it will deliver high-power beam to multiple experiments simultaneously and thus drive Fermilab’s particle physics program for years to come. In a pivot for Fermilab, controls for PIP-II are based on EPICS instead of ACNET, the legacy control system for accelerators at the lab. This paper discusses the status of the EPICS controls work for PIP-II. We describe the EPICS tools selected for our system and the experience of operators new to EPICS. We introduce our continuous integration / continuous development environment. We also describe some efforts at cooperation between EPICS and ACNET, or efforts to move towards a unified interface that can apply to both control systems.

Slides FR1BCO02 [4.528 MB]

DOI •

reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-FR1BCO02

About •

Received ※ 04 October 2023 — Revised ※ 12 October 2023 — Accepted ※ 10 December 2023 — Issued ※ 11 December 2023

Cite •

reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)