<?xml version="1.0" encoding="UTF-8"?>
<xml>
  <records>
    <record>
       <contributors>
          <authors>
             <author>Langston, M.H.</author>
             <author>Lethin, R.</author>
             <author>Letourneau, P.D.</author>
             <author>Wei, J.</author>
          </authors>
       </contributors>
       <titles>
          <title>
             Fast Multipole Method (FMM)-Based Particle Accelerator Simulations in the Context of Tune Depression Studies
          </title>
       </titles>
       <publisher>JACoW Publishing</publisher>
       <pub-location>Geneva, Switzerland</pub-location>
		 <isbn>2226-0358</isbn>
		 <isbn>978-3-95450-221-9</isbn>
		 <electronic-resource-num>10.18429/JACoW-ICALEPCS2021-MOPV048</electronic-resource-num>
		 <language>English</language>
		 <pages>271-276</pages>
       <keywords>
          <keyword>simulation</keyword>
          <keyword>multipole</keyword>
          <keyword>space-charge</keyword>
          <keyword>hadron</keyword>
          <keyword>HOM</keyword>
       </keywords>
       <work-type>Contribution to a conference proceedings</work-type>
       <dates>
          <year>2022</year>
          <pub-dates>
             <date>2022-03</date>
          </pub-dates>
       </dates>
       <urls>
          <related-urls>
              <url>https://doi.org/10.18429/JACoW-ICALEPCS2021-MOPV048</url>
              <url>https://jacow.org/icalepcs2021/papers/mopv048.pdf</url>
          </related-urls>
       </urls>
       <abstract>
          As part of the MACH-B (Multipole Accelerator Codes for Hadron Beams) project, we have developed a Fast Multipole Method (FMM**)-based tool for higher fidelity modeling of particle accelerators for high-energy physics within Fermilab’s Synergia* simulation package. We present results from our implementations with a focus on studying the difference between tune depression estimates obtained using PIC codes for computing the particle interactions and those obtained using FMM-based algorithms integrated within Synergia. In simulating the self-interactions and macroparticle actions necessary for accurate simulations, we present a newly-developed kernel inside of a kernel-independent FMM in which near-field kernels are modified to incorporate smoothing while still maintaining consistency at the boundary of the far-field regime. Each simulation relies on Synergia with one major difference: the way in which particles interactions were computed. Specifically, following our integration of the FMM into Synergia, changes between PIC-based computations and FMM-based computations are made by changing only the method for near-field (and self) particle interactions.
       </abstract>
    </record>
  </records>
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