Speaker
Katherine Rawlins
(University of Alaska Anchorage)
Description
With the IceTop detector at the South Pole, a spectrum of cosmic ray air shower size $S_{125}$ can be unfolded into an energy spectrum of primary cosmic rays. When the IceTop data is analyzed in coincidence with high-energy muon energy loss information from the deep IceCube detector, both the spectrum and mass composition of primary cosmic rays can be extracted using a neural network. Both of these analyses have been applied to three years of IceTop and IceCube data: from mid-2010 to mid-2013, using the 73-station/79-string and 81-station/86-string detectors. Both analyses are now sensitive to energies of up to 500 PeV. The performance and relative advantages of the two analyses will be discussed, and both all-particle spectra as well as individual spectra for elemental groups will be presented.
| Registration number following "ICRC2015-I/" | 386 |
|---|---|
| Collaboration | IceCube |
Primary author
Katherine Rawlins
(University of Alaska Anchorage)
