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Baseline Optimization Studies

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  1. Baseline Optimization Studies D. Reyna Argonne National Lab

  2. Some Basic Questions • Does sensitivity to θ13 survive under complete 3 flavor mixing? • How can we best use all of the information in the energy spectrum? • What are the optimal locations for 2 identical detectors? • Bottom line: Can we achieve the desired sensitivity? D. Reyna – Argonne National Lab

  3. Independence of ∆m2 solar atmospheric D. Reyna – Argonne National Lab

  4. Total Rate vs. Baseline Eν= 3.5 MeV Full Reactor Spectrum D. Reyna – Argonne National Lab

  5. Shape Comparison Make 2 Comparison Of Distributions 100 m 1 km • Each bin normalized to total at that location • Errors are statistical only D. Reyna – Argonne National Lab

  6. Shape Test: • Minimizes Detector Specific Systematics • Loss of overall rate information 2 Comparisons Combined: • Assumes Identical Detectors • More Statistical Power D. Reyna – Argonne National Lab

  7. 0.0015 0.002 0.0025 0.003 0.0035 Optimizing 2 Locations • 2 Identical Detectors • Fix 1 Detector Baseline • Sweep the Other D. Reyna – Argonne National Lab

  8. Optimizing 2 Locations (cont’d) 100m 1km 500m 1.5km 2km D. Reyna – Argonne National Lab

  9. Statistical Power of Combined 2 Test Combined (stat only) Combined (+ 1% sys) Shape Only (stat only) Shape Only (+ 1% sys) D. Reyna – Argonne National Lab

  10. Secondary Maxima? Combined (stat only) Combined (+ 1% sys) Shape Only (stat only) Shape Only (+ 1% sys) D. Reyna – Argonne National Lab

  11. D. Reyna – Argonne National Lab

  12. 90% Confidence Limits D. Reyna – Argonne National Lab

  13. Short and Long Solutions D. Reyna – Argonne National Lab

  14. Final Thoughts • It is possible to get the desired sensitivity • Optimal near detector location should be as close as possible • A Detector should be at the first oscillation minimum (900 – 1400m) • A farther location (~2.5km) yields almost as much statistical power • Could be effective if a very near detector is not possible • Possible 3rd detector? D. Reyna – Argonne National Lab