2008
DOI: 10.1103/physrevc.77.065212
|View full text |Cite
|
Sign up to set email alerts
|

Properties of nucleon resonances by means of a genetic algorithm

Abstract: We present an optimization scheme that employs a genetic algorithm (GA) to determine the properties of low-lying nucleon excitations within a realistic photo-pion production model based upon an effective Lagrangian. We show that with this modern optimization technique it is possible to reliably assess the parameters of the resonances and the associated error bars as well as to identify weaknesses in the models. To illustrate the problems the optimization process may encounter, we provide results obtained for t… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
25
1

Year Published

2008
2008
2022
2022

Publication Types

Select...
9
1

Relationship

4
6

Authors

Journals

citations
Cited by 30 publications
(26 citation statements)
references
References 43 publications
0
25
1
Order By: Relevance
“…On the other hand, our results are hardly comparable with the low momentum Effective Field Theory and Chiral Perturbation Theory [55,56,57,58,59]. Those models include pion degrees of freedom consistently at least at one pion loop level.…”
Section: Discussioncontrasting
confidence: 48%
“…On the other hand, our results are hardly comparable with the low momentum Effective Field Theory and Chiral Perturbation Theory [55,56,57,58,59]. Those models include pion degrees of freedom consistently at least at one pion loop level.…”
Section: Discussioncontrasting
confidence: 48%
“…As a fitting procedure we have used a hybrid optimization code based on a genetic algorithm (GA) combined with the E04FCF routine from the NAG library [21]. In recent years, increased credit is being given in nuclear and particle physics to modern optimization procedures [22,23] and the error analysis for the parameters resulting from the fits. Modern and sophisticated optimization techniques such as GAs [24] have been developed over the past 20 years and have been applied to problems that were impossible to face with conventional tools.…”
Section: General Structure Of the Observables In Terms Of The Elementioning
confidence: 99%
“…First of all, the relations between the different distributions are resumed. We chose to compare in all cases g3dr), determined from data of any other positron distribution using a genetic algorithm [10].…”
Section: Previous Work and Monv A Tionmentioning
confidence: 99%