Refining the IceCube detector geometry using muon and LED calibration data

TL;DR

This paper improves the IceCube detector's geometric accuracy by using muon and LED calibration data to refine DOM positions, enhancing event reconstruction in neutrino detection.

Contribution

It introduces new in-situ methods for measuring lateral DOM positions using muon tracks and LED data, addressing previous calibration limitations.

Findings

String-average geometry corrections improve detector modeling

LED calibration data confirms muon-based corrections

Ongoing development of per-DOM position fitting methods

Abstract

The IceCube Neutrino Observatory deployed 5160 digital optical modules (DOMs) on 86 cables, called strings, in a cubic kilometer of deep glacial ice below the geographic South Pole. These record the Cherenkov light of passing charged particles. Knowledge of the DOM positions is vital for event reconstruction. While vertical positions have been calibrated, previous in-situ geometry calibration methods have been unable to measure horizontal deviations from the surface positions, largely due to degeneracies with ice model uncertainties. Thus the lateral position of the surface position of each hole is to date in almost all cases used as the lateral position of all DOMs on a given string. With the recent advances in ice modeling, two new in-situ measurements have now been undertaken. Using a large sample of muon tracks, the individual positions of all DOMs on a small number of strings around the center of the detector have been fitted. Verifying the results against LED calibration data shows that the string-average corrections improve detector modeling. Directly fitting string-average geometry corrections for the full array using LED data agrees with the average corrections as derived from muons where available. Analyses are now ongoing to obtain per-DOM positions using both methods and in addition, methods are being developed to correct the recorded arrival times for the expected scattering delay, allowing for multilateration of the positions using nanosecond-precision propagation delays.