A Neural Network approach to reconstructing SuperKEKB beam parameters from beamstrahlung

B.O. El Bashir; D. Liventsev; D. Ricalde-Herrmann; D. Rodriguez Perez; E. De La Cruz-Burelo; G. Bonvicini; G. Tejeda-Mu\~noz; H. Farhat; I. Dom\'inguez; J. Flanagan

REVIEW

A Neural Network approach to reconstructing SuperKEKB beam parameters from beamstrahlung

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2206.11709 v2 pith:WM2YDOUZ submitted 2022-06-23 physics.acc-ph hep-ex

A Neural Network approach to reconstructing SuperKEKB beam parameters from beamstrahlung

S. Di Carlo , G. Bonvicini , N.A. Althubiti , R.Ayad , E. De La Cruz-Burelo , I. Dom\'inguez , B.O. El Bashir , H. Farhat

show 11 more authors

J. Flanagan R. Gillard S. Izaguirre Gamez K. Kanazawa K. Kumara D. Liventsev P.L.M. Podesta-Lerma D. Ricalde-Herrmann D. Rodriguez Perez G. Tejeda-Mu\~noz M. Tobiyama I. Heredia de la Cruz

This is my paper

classification physics.acc-ph hep-ex

keywords beamstrahlungbeamnetworkneuralparameterssuperkekbangleapproach

verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved

0 comments

read the original abstract

This work shows how it is possible to reconstruct SuperKEKB's beam parameters using a Neural Network with beamstrahlung signal from the Large Angle Beamstrahlung Monitor (LABM) as input. We describe the device, the model, and discuss the results.

A Neural Network approach to reconstructing SuperKEKB beam parameters from beamstrahlung

discussion (0)