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    sFGD beam test analysis

    → Europe/Zurich
    Description

    https://fnal.zoom.us/j/257160569

      • 16:00 → 16:20
        Track fitting update 20m
        Speaker: Eric Chong
        July14thUpdate.pdf
      • 16:20 → 16:40
        Topological clustering 20m
        Speakers: Anushka Agarwal, Eric Chong
        Agarwal_Hough_Update_07_15_2020.pdf
      • 16:40 → 16:50
        CERN beam test paper 10m
      • 16:50 → 17:00
        CERN beam test analysis update 10m
        Speaker: Wilf Shorrock (Imperial College (GB))
      • 17:00 → 17:05
        Meeting Minutes 5m
        Speaker: Ciro Riccio (Università degli Studi di Napoli Federico II e INFN sezione di Napoli (IT))
        Attendees: Guang Yang (GY), Ciro Riccio (CR), Shih-Kai Lin (SKL), Abraham Teklu (AT), Eric Chong (EC), Dana Douqa (DD), Perri Zilberman (PZ), Chang Kee Jung (CKJ), David Last (DL), Etam Noah (EN), Clark McGrew (CMG), Rick Van Berg (RVB), Andriaseta Sitraka (AS), Anushka Agarwal (AA), Leonel Lin (LL), Rachel Pellegrino (RP), César Jesús-Valls (CJV), Martin Tzavoz (MT), Mark D’Souza (MDS), Leonel Lin (LL)   
         
        • Track fitting update - Eric Chong
          • CKJ: MC study or data? EC: MC
          • CM: slide 5: MC single track for giving micropulse how this is defined in the MC, ie what is the denominator? GY: I look at the true track ID number and I choose proton. GM: Have you looked at the energy distribution of these tracks? GY: Not yet, we are trying to figure out we can do that. 
          • CM: slide 6: What is the minimum distance? EC: Is the distance between two voxels to be considered in the same cluster. CM: You mean maximum, then. EC: Yes, you are right. s
          • CKJ&CM: slide 9: Are you making some cut here? EC: No cut on the number of clusters, just on the number of voxels. 
          • CJ: slide 11: What are you plotting on the bottom plot? EC: One point is a voxel.
          • CKJ: What is the goal of the cut on the linearity? EC: The goal is to select single track per micropulse. GY: We are not doing any PID. At the end we are going to perform a topological selection. CKJ: Do you plan to perform other cut after that? EC: Yes, we should require that the vertex must be in the FV. 
          • CKJ: Slide 14: What is the formula you used to extract the efficiency and the purity? EC: Efficiency: Number of events with true single track that pass the linearity cut (number of reco from true/number of true) Purity: Number of events that pass the linearity cut that are events with true single track (number of true from reco / number of reco)
          • CKJ: Slide 14: The linearity cut seems to have no effect on efficiency and purity.  
          • CM: Slide 14: It looks to me that the efficiency and the purity are not defined in the same way. The blue lines on the left and on the right should be the same. 
          • CM&CKJ: Please add the definition of the efficiency and the purity on this slide and specify which sample you are using. At the moment this slide is very confusing. 
          • CKJ: Slide 16: What are the particles involved in this event? EC&GY: We don’t have this information yet. 
          • CJV: Define efficiencies and purities using G4 true information is the wrong way. We have to find a better way to define the single track. 
         
        • Topological clustering -  Anushka Agarwal
          • GY: Very nice! This is important to cross-check what Eric is doing. 
          • CM: This is a work going on in parallel with what Eric is doing but is also focused on the long term goal of having an exclusive selection.
          • AT: Do you want to recognize kinked tracks? AA: Yes, exactly.
         
        • CKJ: General comment: Do CERN people have already a tracking algorithms? CJV: Yes. CKJ: We should not ignore this work and profit of what was already developed. CR: In the software framework we are developing we are taking a lot from the framework that was developed for CERN test beam.