Evidence map›Paper›PMID 30061573›Full record

ArticleScientific reports2018

Measuring the magnetic axis alignment during solenoids working.

Pasquale Arpaia, Biase Celano, Luca De Vito, Antonio Esposito, Alessandro Parrella, Alessandro Vannozzi

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Pasquale ArpaiaInstrumentation and Measurement for Particle Accelerators Lab (IMPALab), Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy. pasquale.arpaia@unina.it.
Biase CelanoInstrumentation and Measurement for Particle Accelerators Lab (IMPALab), Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy.
Luca De VitoNational Institute for Nuclear Physics (INFN), Naples, Italy.
Antonio EspositoInstrumentation and Measurement for Particle Accelerators Lab (IMPALab), Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy.
Alessandro ParrellaInstrumentation and Measurement for Particle Accelerators Lab (IMPALab), Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy.
Alessandro VannozziINFN-LNF Istituto Nazionale di Fisica Nucleare Accelerator Division - Magnets and Power Supplies Via E. Fermi, 40 - I-00044, Frascati, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A method for monitoring the misalignment of the magnetic axis in solenoids is proposed. This method requires only a few measurements of the magnetic field at fixed positions inside the magnet aperture, and thus overcomes the main drawback of sturdy moving mechanics of other Hall sensor-based methods. Conversely to state-of-the-art axis determination, the proposed method can be applied also during magnet operations, when the axis region and almost the whole remaining magnet aperture are not accessible. Moreover, only a few measurements of the magnetic field at fixed positions inside the magnet aperture are required: thus a slow process such as the mapping of the whole aperture of a magnet by means of moving stages is not necessary. The mathematical formulation of the method is explained, and a case study on a model of a multi-layer solenoid is presented. For this case study, the uncertainty is assessed and the optimal placement of the Hall transducers is derived.

Identifiers

PMID30061573
PMCPMC6065376

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.