SBIR/STTR Research Award

High-Field Magnetic Insertion for IOTA Electron Lenses

Award identifier 48cd2b7273424070c535aa122d2344c1106ba340659ab2711ccdc5cc7de1c54dAwarding agency Department of Energy

Award amount

$199,601

Program and phase

SBIR · Phase I

Award year

2020

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Energy
Branch
Not reported
Recipient company
RADIABEAM TECHNOLOGIES, LLC
Proposal award date
2020-06-29
Contract end date
2021-03-28
UEI
Q6NDLV47NBT5
Solicitation number
DEFOA0002146
Topic code
30h

Research abstract

Most present cyclic accelerators of charged particles such as storage rings and cyclotrons traditionally rely on linearity of the particle optics, except where required to correct for effects such as chromaticity. In these machines, the focusing depends linearly on the offset of the particles from the axis and all particles oscillate at approximately the same frequency, the tune. One limit on the intensity of the beam in these machines is the maximum allowable spread of tunes, which is typically limited by the presence of various resonances. Higher intensity can be potentially achieved in an accelerator employing optics with so-called non-linear lattice having motion invariants enabling stable nonlinear motion. One of the ideas for ring is to produce a large tune spread using short nonlinear insertions – so-called “electron lens” – without reducing the region where the beam can be transported stably. In this project, it is proposed to develop a non-linear electromagnetic insertion for IOTA enabling full performance of the electron lens. That will be accomplished by development and comparative study of both normal and superconducting conducting magnetic systems consisting of main solenoid and set of bending and transfer solenoids. In Phase I of this project we will perform 2D and 3D magnetic simulations to optimize the poles geometry in the proposed non-linear magnetic insert; create a conceptual engineering design of the magnetic assembly, and develop manufacturing and acceptance plans, including vacuum chamber integration, and magnetic metrology instrumentation requirements. The layouts based on superconducting (SC) versions will also be examined for their size, performance and cost benefits. The so-called electron lens technique, for which this project will develop enabling components and instrumentation, is a promising novel technique to improve the performance of the storage rings and other circular accelerators, enabling to store and accelerate higher intensity beams in a stable and reliable way. This will be useful to multiple discovery science and industrial accelerator facilities.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

190 SBIR/STTR records share this UEI (2004–2025). Reported award amounts total $96,783,846. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Energy, Department of Defense, Department of Homeland Security, National Science Foundation, Department of Health and Human Services, Department of Commerce

Agency intelligence

Department of Energy

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.