Combined charged-particle and X-ray simulations using the Bmad open source software library

Abstract

The open source Bmad software library, developed at Cornell University, has proved to be a useful tool for accelerator simulations owing to its modular, object-oriented design. Bmad has been used to simulate the storage ring CESR for many years, and to design and analyze the proposed Cornell Energy Recovery Linac. Work is ongoing to expand Bmad in a number of directions. In particular, the ability to be able to do a combined simulation of accelerated charged-particle beams and the x-ray beams they create is being developed. Ultimately a complete framework for simulations from the gun cathode (including space-charge) to x-ray generation, to x-ray tracking through to the experimental end-stations is envisioned. The flexibility of Bmad is such that multiple propagation algorithms can be accommodated with the user selecting the appropriate algorithm for each individual element. To this end, the integration of Bmad with the SHADOW tracking code is in development.

Energy and rf cavity phase symmetry enforcement in multiturn energy recovery linac models

“…The first three variants are tested in custom Mathematica programs [6]. The latter, which is used as the accuracy reference for the other three, is modeled in the Bmad accelerator toolkit [7]. Each model is compatible with the symmetric and reduced symmetric ERL objective systems from Table I.…”

“…In the Bmad accelerator toolkit [7], cavities can be tracked with the Runge Kutta 4 algorithm. Particle energy and position are found via integration through the electric and magnetic fields of the cavity.…”

“…where the particle encounters voltage V over the pillbox length L = πc ω for RF frequency ω, the speed of light is c, and the wave vector is k = c ω [7]. Note that for a pillbox run in the fundamental harmonic, k = 0.…”

Spin transport and polarimetry in the beam delivery system of the international linear collider

“…STALC generates electron/positron bunches and tracks them through a given lattice via Bmad [30,31], a subroutine library for particle simulations in high-energy accelerators, which can take also the polarisation into account. At the polarimeters, the particle information can be passed to LCPolMC, which simulates the polarisation measurement in a Compton polarimeter from the Compton scattering process to the detector response.…”

Accurate and efficient spin integration for particle accelerators

“…The code FORGET-ME-NOT, by Golubeva and Balandin, was developed for this purpose also [8]. In the mid-2000s spin motion was added to PTC by Forest [27,30,24] and to Bmad by Sagan [56]. Mane has recently added the code ELIMS to this list [43].…”