کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1833024 | 1027531 | 2006 | 5 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A segmented principal component analysis applied to calorimetry information at ATLAS
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
فیزیک و نجوم
ابزار دقیق
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: A segmented principal component analysis applied to calorimetry information at ATLAS A segmented principal component analysis applied to calorimetry information at ATLAS](/preview/png/1833024.png)
چکیده انگلیسی
A segmented principal component analysis is applied for dimensionality reduction of the calorimeter information at the second level trigger of ATLAS. The segmented analysis is proposed in order to fully explore the high segmentation of the calorimeter system and the different levels of granularity present at each segment of the hadronic and electromagnetic sections. Considering electron and jet simulated events, a high data compaction level (above 96%) is achieved, even when preserving 95% of the original data variance. Using data projection onto the principal components of each calorimeter segment, and a neural classifier, 97.3% of electrons are correctly identified for a misclassification of jets below 9%.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment - Volume 559, Issue 1, 1 April 2006, Pages 129-133
Journal: Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment - Volume 559, Issue 1, 1 April 2006, Pages 129-133
نویسندگان
H.P. Jr., J.M. Seixas,