Control of Intra-Bunch Vertical Motion in the SPS with GHz Bandwidth Feedback

Fox, J.; Dusatko, John; Rivetta, C.; Turgut, Ozhan; Bartosik, Hannes; Bjørsvik, Endre; Höfle, Wolfgang; Kotzian, Gerd; Li, K.; Métral, E.; Salvant, Benoît; Wehrle, U.; Santis, Stefano De

doi:10.1088/1742-6596/1067/7/072024

Cited by 2 publications

(2 citation statements)

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“…In this experiment, operation in a trainof-bunches may be required [29,30]. Due to particle injection stability issues, the accelerator needs small periods of empty-bunches intercalated with periods of bunch-trains [31]. At Run 2, for instance, typical physics runs have been operated in a configuration of 48 filled bunches followed by 7 (or more) empty bunches [32].…”

Section: Windowed Vesurs Sample-by-sample Implementationmentioning

confidence: 99%

Sparse Deconvolution Methods for Online Energy Estimation in Calorimeters Operating in High Luminosity Conditions

Teixeira,

Andrade,

de Seixas

2021

Preprint

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A: Energy reconstruction in calorimeters operating in high luminosity particle colliders has become a remarkable challenge. In this scenario, pulses from a calorimeter front-end output overlap to each other (pile-up effect), compromising the energy estimation procedure when no preprocessing for signal disentanglement is accomplished. Recently, methods based on signal deconvolution have been proposed for both online and offline reconstructions. For online processing, constraints concerning fast processing, memory requirements, and cost implementation limit the overall performance. Offline reconstruction allows the use of Sparse Representation (SR) theory to implement sophisticated Iterative Deconvolution (ID) methods. This paper presents ID methods based on SR algorithms whose computational cost is effective for online implementation. Using simulation data, current techniques were compared to the proposed SR ones for performance validation in the online environments. Analysis has shown that, despite the higher computational cost, when compared to standard methods, the increase in performance may justify the use of the proposed techniques, in particular for the Separable Surrogate Functional (SSF). which is shown to be feasible for implementation in modern FPGAs.

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Section: Windowed Vesurs Sample-by-sample Implementationmentioning

confidence: 99%

Sparse Deconvolution Methods for Online Energy Estimation in Calorimeters Operating in High Luminosity Conditions

Teixeira,

Andrade,

de Seixas

2021

Preprint

View full text Add to dashboard Cite

show abstract

“…Actually, the adaptation of such a non-causal method to online operation is possible thanks to some characteristics of modern colliders, as is the case of the LHC, which operates in a trainof-bunches [49,50]. Due to particle injection stability issues, the accelerator needs small periods of empty-bunches intercalated with periods of bunch-trains [51]. At Run 2, for instance, typical physics runs were operated in a configuration of 48 filled bunches followed by 7 (or more) empty bunches [52].…”

Section: Physical Modelmentioning

confidence: 99%