1 / 11

HiRes Usage

HiRes Usage. Outline. Shower energy ( Size, dE/dx ) Atmospheric profile ( stdz76, radiosonde) Rayleigh Scattering Aerosols Model ( density, variability ) Aerosols Scattering Detector Optical Efficiency. Old HR1 Mono Shower Energy. E tot = E em + E miss E em = Profile Integral x const.

dante
Download Presentation

HiRes Usage

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. HiRes Usage

  2. Outline • Shower energy ( Size, dE/dx ) • Atmospheric profile ( stdz76, radiosonde) • Rayleigh Scattering • Aerosols Model ( density, variability ) • Aerosols Scattering • Detector Optical Efficiency.

  3. Old HR1 Mono Shower Energy • Etot = Eem + Emiss • Eem = Profile Integral x const. • Profile Integral <== Nmax, x0, xmax • const = 2.18 ( Average dE/dx ) • Nmax = Etot / 1.3e9 • Emiss ~ 5-15 % ( Linsley )

  4. New HR1 Mono Shower Energy • Etot, Nmax,xmax, x0 ( Based on Corsika ) • Nmax/Etot=a0+a1*x+a2*x*x • x== xmax - x0 • Nmax/ Etot ~ 0.65 or Nmax ~ Etot / 1.5e9 • But ~ 11% shower particles below tracking threshold in Corsika, so put them back in: • Nmax/Etot ~ 0.73 or Nmax ~ Etot / 1.4e9 • No explicit missing energy correction

  5. Proper Accounting ?! • Old vs. New HR1 mono: • Old Nmax > New Nmax by ~10% • Old dE/dx < New dE/dx by ~ 10% • A shower with a given energy will produce the roughly the same amount of light at the detector in old/new analysis • An observed event will be reconstructed to the same nominal energy in old/new analysis. • BUT for real showers, reconstructed Nmax will be 10% too high

  6. Energy Reconstruction • We use an “inverse Monte Carlo” technique for energy reconstruction. • Calculate tube signals for a shower with “unit energy”, compare to measured tube signals and do fit to best match observed tube signals. • The fit energy = scaling factor x “unit energy” • So, the ratio of Nmax to Etot factors out and does not affect energy estimate.

  7. Scintillation Yield • dE/dx: • Old: Based on Hillas Calculations • New: Based on Corsika simulations • Yield: • Old/New use Kakimoto et al. total yield • Wavelength Dependence: • Old/New use Bunner Spectrum • New Analysis may be updated to use newer measurements

  8. Atmospheric Profile • Old Analysis uses the 1976 U.S. Standard Atmosphere Model. • New Analysis uses Radiosonde measured profiles IF available, reverts to standard atmosphere otherwise. • Atmospheric ceiling at 70 km for old analysis, Radiosonde data available up to 30 km. • We use linear interpolation of measured points, maybe can improve?

  9. Rayleigh Scattering • Depends on atmospheric density, so altitude. • Well known physics ... but • Wavelength dependence of scattering length changed from 1/lambda4 to 1/lambda4.22 in MC and reconstruction codes!

  10. Aerosols Scattering • Mostly in the forward peak ( Longtin Phase function ) • Weak wavelength dependence ( Etterman ) • At Dugway Average attenuation length 25 km, average scale height 1 km. ( No mixing layer ) • Data Base: fit for attenuation length and scale height; No mixing layer ( 2 parameter fit )

  11. Detector Optical Efficiency • Mirror Reflectivity • Nominal Value / Measured • Time Variability • Wavelength Dependence • UV Filter Transmission • PMT QE • PMT Response profile

More Related