1 / 18

Michelangelo D’Agostino UC Berkeley Madison Meeting April 2008

Detecting Atmospheric Neutrino-Induced Cascades with IC-22.  e. Michelangelo D’Agostino UC Berkeley Madison Meeting April 2008. Outline. Level 2 Cuts further cascade reconstructions two new cuts based on split reco. Level 3 Cuts Containment Cuts how close are we to detection?.

syshe
Download Presentation

Michelangelo D’Agostino UC Berkeley Madison Meeting April 2008

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. Detecting Atmospheric Neutrino-Induced Cascades with IC-22 e Michelangelo D’Agostino UC Berkeley Madison Meeting April 2008

  2. Outline • Level 2 Cuts • further cascade reconstructions • two new cuts based on split reco. • Level 3 Cuts • Containment Cuts • how close are we to detection? Really Close!!

  3. Event Rates At Filter Level • ≈1500 eC.C. after the Pole filter for 200 days • ≈3000 e C.C.+ N.C. after the Pole filter for 200 days • we have closer to 240 days of livetime

  4. Level 2 Cuts Proposed Level 2 Cuts: 83% signal efficiency (atm.) 81% background rejection 

  5. Level 2 Cuts: Neural Net Total Paraboloid Error

  6. Level 2 Cuts: Neural Net Level 2 Cuts Used In This Talk: 80% signal efficiency (atm.) 84% background rejection

  7. Level3: MPE Cascade Reconstruction • Level 2 processing uses SPE UPandel with re-coincified hits • Using the full hit series and seeding MPE UPandel with the SPE result is better Note: Plot is after Level 2 cuts

  8. Level 3: MPE Cascade Reconstruction Note: Plot is after Level 2 cuts

  9. MPE Cascade Reconstruction X Resolution [m] Y Resolution [m] Note: Plots are weighted for an atmospheric flux and post Level 2 cuts with no containment MPE RMS’s (atm.): x: 20.4 m y: 18.7 m z: 9.7 m Z Resolution [m]

  10. Hit in early half Track Cascade Hit in late half Level 3: Split Cascade Reco Basic Idea: 1. Split hit series in two around the average time (cf. coincident muon reconstruction) 2. Reconstruct each half as a cascade Two (un-correlated) parameters which should be good: Distance between the two vertices, and the time difference between the two vertices.

  11. z time Level 3: Split Cascade Reco. z is more powerful than xy because of DOM spacing more effective for coin. muons Note: Plots are after Level 2 cuts

  12. Level 3: 32-Fold Track Reconstruction Note: Plot is after Level 2 cuts

  13. Containment Cuts Note: Plots are after Level 2 cuts Signal Data is much more concentrated around the outer edges of the detector than signal is. 8 hr Data

  14. Spatial Significance Plot cut? 78% signal eff. (atm.) 94% background rej. Containment Cuts Spatial Significance Plot

  15. Tentative Cuts Summary • Online Filter: 1/(1+2+3) and vlf • 34% signal eff., 97% background rej. • Level 2: single and Lsingle-LcscdSPE • 83% signal eff., 81% background rej. • Level 3: z , LcscdMPE, and 32 • 81% signal eff., 76% background rej. • Level 4: XY-Containment, (Z Containment?) and time • 78%*74% signal eff., 94%*59% background rej. Still to explore: Energy reconstruction

  16. scaled up from 8 hours of data, so immune to potential MC problems

  17. Conclusions • common Level 2 cuts are set • Level 3 reconstructions (+Rime) are generally agreed upon • processing of the full dataset will begin very soon • none of the cuts I’ve presented are optimized or finalized (indeed, most are only a few weeks old), and more are in the pipeline • we’re getting very close to where we need to be to make a first detection of -induced cascades!!

  18. scaled up from 8 hours of data, so immune to potential MC problems

More Related