2021
DOI: 10.1109/tim.2021.3106129
|View full text |Cite
|
Sign up to set email alerts
|

Design and Experimental Validation of High-Resolution Single-Shot Emittance Diagnostics for Heavy-Ion Beams

Abstract: A pepper-pot diagnostic device was developed to accurately and robustly retrieve particle distribution in horizontal and vertical phase spaces by single-shot emittance measurements. Two masks that differ in both composition and manufacturing method were fabricated: one made of phosphor bronze by an optical lithography process, and another made of stainless steel (SUS) by laser cutting. Scanning electron microscope measurements of the two masks revealed that the former is superior in terms of regularity and sha… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(2 citation statements)
references
References 31 publications
0
2
0
Order By: Relevance
“…In most cases, an important part of the phase space measurement is the data analysis and the removal of unidealities such as background noise, ghost images, and amplifier bias. Several studies on this subject have been made with different recommendations for data processing, [51][52][53] and even if the details vary, the basic recipe is the same. In here, an example of such a process is described for a 2D phase space measurement using an artificially generated dataset of 100 × 100 pixels with a bi-Gaussian phase space distribution with emittance εrms = 100 mm mrad, Gaussian noise with an rms amplitude of 1% of the peak beam signal, and a bias of 0.5%.…”
Section: Reviewmentioning
confidence: 99%
See 1 more Smart Citation
“…In most cases, an important part of the phase space measurement is the data analysis and the removal of unidealities such as background noise, ghost images, and amplifier bias. Several studies on this subject have been made with different recommendations for data processing, [51][52][53] and even if the details vary, the basic recipe is the same. In here, an example of such a process is described for a 2D phase space measurement using an artificially generated dataset of 100 × 100 pixels with a bi-Gaussian phase space distribution with emittance εrms = 100 mm mrad, Gaussian noise with an rms amplitude of 1% of the peak beam signal, and a bias of 0.5%.…”
Section: Reviewmentioning
confidence: 99%
“…6(b) identifying the non-zero pixels to avoid contributions even from very weak looking ghost signals. Such ghost signals may have a strong contribution to the emittance value if they are far away from the main distribution and may require manual removal or the use of cluster analysis 53 for automation.…”
Section: Reviewmentioning
confidence: 99%