1 / 17

CC/NC SEPARATION STUDY

CC/NC SEPARATION STUDY. Andy Blake Cambridge University Friday February 23 rd 2007. Introduction. Have developed a PID for CC/NC separation PID is calculated using a likelihood technique, and extends the “standard” PID algorithm by incorporating some new PDFs and

lelia
Télécharger la présentation

CC/NC SEPARATION STUDY

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. CC/NC SEPARATION STUDY Andy Blake Cambridge University Friday February 23rd 2007

  2. Introduction • Have developed a PID for CC/NC separation • PID is calculated using a likelihood technique, and extends the • “standard” PID algorithm by incorporating some new PDFs and • accounting for their change in shape as a function of energy. • Code committed to “MadAbID” class in Mad package. • Documentation also available in doc-db #2720. • Will outline method and present some results in this talk. Andy Blake, Cambridge University CC/NC Separation, slide 2

  3. PID Variables • Variables for CC/NC separation • Event Topology Variables. • – percentage pulse height in track. • – pulse height per track plane. • – number of track like planes. • – percentage error in track fit. • Event Kinematics Variables. • – reconstructed y. • Event Energy and Charge. • – number of track planes. • – reconstructed charge. • Relative CC/NC Normalization. Test consistency with muon track. Test consistency with CC interaction. Incorporate CC/NC spectral information. Andy Blake, Cambridge University CC/NC Separation, slide 3

  4. PID Definition • PID calculated from the product of several 1D and 2D PDFs as follows: Andy Blake, Cambridge University CC/NC Separation, slide 4

  5. PID Variables: (I) Track Topology TRACK-LIKE PLANES vs TRACK PLANES Andy Blake, Cambridge University CC/NC Separation, slide 5

  6. PID Variables: (I) Track Topology TRACK PH / TRACK PLANES vs TRACK PLANES Andy Blake, Cambridge University CC/NC Separation, slide 6

  7. PID Variables: (I) Track Topology TRACK PH / EVENT PH vs TRACK PLANES Andy Blake, Cambridge University CC/NC Separation, slide 7

  8. PID Variables: (I) Track Topology TRACK FIT ERROR vs TRACK PLANES Andy Blake, Cambridge University CC/NC Separation, slide 8

  9. PID Variables: (II) Event Kinematics RECO Y vs RECO E Andy Blake, Cambridge University CC/NC Separation, slide 9

  10. PID Variables: (III) CC/NC Spectrum TRACK PLANES RECONSTRUCTED CHARGE CC/NC NORMALIZATION Andy Blake, Cambridge University CC/NC Separation, slide 10

  11. PID Study • Cedar MC Ntuples. • – Far Detector (generate PDFs using 8.7e22 PoTs • calculate PIDs using 2.9e22 PoTs). • – Near Detector (generate PDFs using 8.5e18 PoTs • calculate PIDs using 2.5e18 PoTs). • Event Selection. • – reconstructed track. • – successful track fit. • – contained track vertex. • Construction of PDFs. • – PDFs constructed assuming no oscillations. • – 2D PDFs normalized to remove any spectral information. • (i.e. divide out the shape of the energy spectrum). • – as a final step, try pre-selecting events with PCC=1. • (i.e. create second set of PDFs for events with PCC<1). Andy Blake, Cambridge University CC/NC Separation, slide 11

  12. PID Results (Far Detector) Andy Blake, Cambridge University CC/NC Separation, slide 12

  13. Purity vs Efficiency (Far Detector) Standard PID: track PH/ event PH. track PH/ track planes. track planes. Incorporate: track-like planes. track fit error. track charge. reconstructed Y. (replace trk.ph/evt.ph). pre-selection. N.B: maximum values of purity*efficiency indicated by stars Andy Blake, Cambridge University CC/NC Separation, slide 13

  14. Purity vs Efficiency (Far Detector) Standard PID cut approximately here! Andy Blake, Cambridge University CC/NC Separation, slide 14

  15. PID Results (Near Detector) Andy Blake, Cambridge University CC/NC Separation, slide 15

  16. PID Results (Low Energies) E < 3 GeV 3 < E < 6 GeV 6 < E < 9 GeV E > 9 GeV Andy Blake, Cambridge University CC/NC Separation, slide 16

  17. Summary • Incorporation of new variables into PID calculation improves purity and • efficiency of CC/NC separation in both detectors over all energies. • This will hopefully improve the sensitivity of the oscillation analysis! • Possible improvements to this method: • – Separate fully and partially contained events. • – Separate neutrinos and anti-neutrinos. • – Incorporate other topology variables (e.g. pulse height profile of event). • – Incorporate another kinematic variable (e.g. x distribution). Andy Blake, Cambridge University CC/NC Separation, slide 17

More Related