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2019 (v1)PublicationUploaded on: March 27, 2023
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2011 (v1)Publication
This paper describes the application of machine learning techniques to the diboson search in the lepton plus neutrino plus heavy flavor jets channel at CDF. Three different aspects of this challenging search are analyzed: multijet background rejection with the use of a support vector machine discriminant, light/heavy flavor jets separation with...
Uploaded on: April 14, 2023 -
2013 (v1)Publication
The ATLAS detector is designed for efficient muon identification and high precision momentum measurement across three orders of magnitude of muon energy (from a few GeV up to a few TeV). This is possible thanks to two high precision tracking systems, the Inner Detector and the Muon Spectrometer, which provide independent momentum measurements...
Uploaded on: April 14, 2023 -
2013 (v1)Publication
This paper describes an innovative way to optimize a multivariate classifier, a Support Vector Machine algorithm, on a problem characterized by a biased training sample. This is possible thanks to the feedback of a signal-background template fit performed on a validation sample and included both in the optimization process and in the input...
Uploaded on: April 14, 2023 -
2018 (v1)Publication
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Uploaded on: May 13, 2023 -
2011 (v1)Publication
We test and optimize a multivariate discriminant software package, based on the Support Vector Machine (SVM) algorithm, to reduce the multi-jet background events in the channel pp̄ → eν + jj̄. We use the CDFII data-set, collected at the TeVatron pp̄ ollider, where this channel provides the signature for many important physics processes: e.g....
Uploaded on: March 27, 2023 -
2012 (v1)Publication
We optimized a multivariate discriminant software package, based on the Support Vector Machine (SVM) algorithm, to reduce the multi-jet background events in the channel pp̄ → ev + jj̄. This channel is important for many physics searches but the multi-jet background can be large and it is difficult to model. We developed a package which allows...
Uploaded on: April 14, 2023 -
2016 (v1)Publication
In recent years, Micromegas detectors became more and more important for large scale tracking systems in particles physics. The first Micromegas quadruplet that has been built at CERN features an active area of 0.4 m2 per plane and is based on the resistive-strip technology, which can be used for precision tracking in high rate background...
Uploaded on: April 14, 2023 -
2016 (v1)Publication
We report on the construction and initial performance studies of two micromegas detector quadruplets with an area of 0.3 m2. They serve as prototypes for the planned upgrade project of the ATLAS muon system. Their design is based on the resistive-strip technology and thus renders the detectors spark tolerant. Each quadruplet comprises four...
Uploaded on: April 14, 2023