| Paper | Title | Page |
|---|---|---|
| MOPGW024 | Measurements of the GSI Transfer Beam Lines Ion Optics | 131 |
|
||
| GSI High Energy Beam Transfer lines (HEST) link the SIS18 synchrotron with two storage rings (Experimental Storage Ring and Cryring) and six experimental caves. The recent upgrades to HEST beam instrumentation enables precise measurements of beam properties along the lines and allow for faster and more precise beams setup on targets. Preliminary results of some of the measurements performed during runs in 2018 and 2019 are presented here. The focus is on response matrix measurements and quadrupole scans performed on HADES beam line. The errors and future improvements are discussed. | ||
| DOI • | reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2019-MOPGW024 | |
| About • | paper received ※ 15 May 2019 paper accepted ※ 19 May 2019 issue date ※ 21 June 2019 | |
| Export • | reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml) | |
| MOPGW026 | Transfer Line Optics Design Using Machine Learning Techniques | 139 |
|
||
| Optimization of transfer line optics is essential for delivering high quality beams to the experimental areas. This type of optimization is usually done by hand and relies on the experience of operators. The nature of this task is repetitive though highly complex. Besides optimizing the beam quality at the experiments this task is often accompanied by secondary objectives or requirements such as keeping the beam losses below an acceptable threshold. In the past years Deep Learning algorithms have experienced a rapid development and gave rise to various advanced software implementations which allow for straightforward usage of corresponding techniques, such as automatic differentiation and gradient backpropagation. We investigate the applicability and performance of these techniques in the field of transfer line optics optimization, specifically for the HADES beamline at GSI, in form of gradient-based differentiable simulators. We test our setup on results obtained from MADX simulations and compare our findings to different gradient-free optimization methods. Successfully employing such methods relieves operators from the tedious optimization tasks. | ||
| DOI • | reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2019-MOPGW026 | |
| About • | paper received ※ 15 May 2019 paper accepted ※ 20 May 2019 issue date ※ 21 June 2019 | |
| Export • | reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml) | |
| MOPRB052 | Gamma Factory at CERN: Design of a Proof-of-Principle Experiment | 685 |
|
||
| The Gamma Factory (GF) initiative proposes to create novel research tools at CERN by producing, accelerating and storing highly relativistic partially stripped ion beams in the LHC rings and by exciting their atomic degrees of freedom by lasers, to produce high-energy photon beams. Their intensity would be several orders of magnitude higher than those of the presently operating light sources in the particularly interesting gamma-ray energy domain reaching up to 400 MeV. In this energy domain, the high-intensity photon beams can be used to produce secondary beams of polarized electrons, polarized positrons, polarized muons, neutrinos, neutrons and radioactive ions. Over the years 2017-2018 we have demonstrated that these partially stripped ion beams can be successfully produced, accelerated and stored in the CERN accelerator complex, including the LHC. The next step of the project is to build a proof of principle experiment in the SPS to validate the principal GF concepts. This contribution will present the initial conceptual design of this experiment along with its main challenge - the demonstration of the fast cooling method of partially stripped ion beams. | ||
| DOI • | reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2019-MOPRB052 | |
| About • | paper received ※ 19 May 2019 paper accepted ※ 20 May 2019 issue date ※ 21 June 2019 | |
| Export • | reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml) | |
| WEPGW019 | Performance of the CVD Diamond Based Beam Quality Monitoring System in the HADES Experiment at GSI* | 2507 |
|
||
|
Funding: Work supported by the DFG through GRK 2128 and VH-NG-823. The beam quality monitoring of extracted beams from SIS18 at GSI, transported to the HADES experiment is of great importance to ensure a high efficient data recording. The main detector system used for this purpose is the Start-Veto system which consists of two diamond based sensors made of pcCVD and scCVD diamond materials. Both sensors are equipped with a double-sided strip segmented metallization (300 µm width) which allows a position determination of the beam. Those sensors are able to deliver a time precision <100 ps and can handle rate capabilities up to 107 particles/s/channel. Beside the diamond sensors a plastic scintillation based beam halo detector is used. The read-out of the detectors is based on the TRB3 system*. A 264 channel TDC (Time to Digital Converter) is implemented in FPGA technology with 10 ps precision. The TRB3 system serves as a fast and flexible Data Acquisition System (DAQ) with integrated scaler capability. The analysis and online visualization is performed using the Data Acquisition Backbone Core (DABC)** framework. In this contribution the performance of the system, which was used in order to evaluate an Ar and Ag ion beam delivered by the SIS 18 accelerator, will be discussed. * A. Neiser et al., JINST 8 (2013) C12043 ** J. Adamczewski-Musch et al., J.Phys. Conf. Ser. 664 (2015) no.8, 082027 |
||
| DOI • | reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2019-WEPGW019 | |
| About • | paper received ※ 15 May 2019 paper accepted ※ 22 May 2019 issue date ※ 21 June 2019 | |
| Export • | reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml) | |