1 / 9

IFIC meeting

IFIC meeting. 01/Feb/2012. Agustín Sánchez Losa. BEST LASER vs OFFICIAL OFFSETS. BEST LASER vs OFFICIAL OFFSETS. BEST LASER vs OFFICIAL OFFSETS. BEST LASER vs OFFICIAL OFFSETS. Last Fitted Signal. Means. > nsig0: 0.115321 > nsig1: 0.959034 > nsig3: 2.869490 > nsig5: 4.768660

dyan
Download Presentation

IFIC meeting

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. IFIC meeting 01/Feb/2012 Agustín Sánchez Losa

  2. BEST LASER vs OFFICIAL OFFSETS

  3. BEST LASER vs OFFICIAL OFFSETS

  4. BEST LASER vs OFFICIAL OFFSETS

  5. BEST LASER vs OFFICIAL OFFSETS

  6. LastFittedSignal Means > nsig0: 0.115321 > nsig1: 0.959034 > nsig3: 2.869490 > nsig5: 4.768660 > nsig7: 6.777240 > nsig9: 8.693610 Declination: 0°; Fixed Search; Systematics ON; Original code and ingredients;

  7. Last Q stat Thresholds: Mine: > th(3s): 4.65 > th(5s): 12.05 Internal note: > th(3s): 3.53 > th(5s): 15.24 Declination: 0°; Fixed Search; Systematics ON; Original code and ingredients;

  8. PEX structure • Simulating experiments: • add_backgroundfrom DATA histograms: • Bgr& bgr.f_per_sindecl_vs_sindecl->GetRandom() (background rate for sin(δ))) • TH1* nhits_atm_histogram(nhits in data) • add_signal_psfhistogram3d from MC histograms: • TH3& psf_3d_histogram (3d histogram of log(α), sin(δ)and nhits for E-2 neutrinos) • Computing likelihood: • lik_sb_with_hits with: • Psf& psf.per_sr_vs_a(alpha) (psf for sin(δ)) • Bgr& bgr.per_sr_vs_decl(decl) (background rate for sin(δ))) • TH1* hist_E2 (nhitsin MC) • TH1* hist_atm(nhits in data) • Likelihood: r = SUM[log(ls + lb)]- nsig • ls = nsig * psf.per_sr_vs_a(dist(ev.decl, ev.ra, decl, ra))* prob_hit_E2; • lb = bgr.per_sr_vs_decl(ev.decl) * prob_hit_atm; • prob_hit_E2 = hist_E2->GetBinContent(hist_E2->FindBin(ev.nhits)); • prob_hit_atm= hist_atm->GetBinContent(hist_atm->FindBin(ev.nhits));

  9. Adding beta • Likelihood?:

More Related