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This study investigates the geometry of IceCube strings using down-going muons (dg-muons) as a potential calibration method. By analyzing flash data and the quality of reconstructed tracks, we aim to verify geometry and address discrepancies in DOM positions. We employ two methodologies to assess the impact on reconstructed track quality and time residuals, assessing the implications of geometry shifts on time residual distributions. Our research will enhance the understanding of DOM positions and improve the overall data quality of IceCube measurements.
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IceCube geometry with down-going muons Lake Geneva 07 Martino Olivo, dept. of Nuclear and Particle Physics, Uppsala University
Martino Olivo - Dept. of Nuclear and Particle Physics - Uppsala University - martino.olivo@tsl.uu.se flash data and down-going muons • Verify the geometry and explore the possibility to use dg-muons as a way to calibrate geometry • The geometry for some strings might be off flash data (string 29, other strings?) • d-g mu to check if we find the same offset: • we take them continuously • we don't need to rely on special flasher runs • 2 methods: • Impact on quality of reconstructed tracks • Impact on time residuals
Martino Olivo - Dept. of Nuclear and Particle Physics - Uppsala University - martino.olivo@tsl.uu.se d-g mu: quality of reconstructed tracks • look at the quality parameter of reconstructed tracks • if DOM positions are off the quality of the reconstructed track is expected to be lower • the quality parameter is not sensitive
Martino Olivo - Dept. of Nuclear and Particle Physics - Uppsala University - martino.olivo@tsl.uu.se d-g mu: impact of the geometry on time residuals • DOM position is off time res. distribution is expected to be wider • change geometry change in the width of time res. distribution • measure of the width of time res. distribution how good the position od the DOM is • use hyperbola fit on time residual width as function of position to determine DOM positions
Martino Olivo - Dept. of Nuclear and Particle Physics - Uppsala University - martino.olivo@tsl.uu.se run_replaced_geo.py • 3 strings and 15 DOMs to identify an event • shows time residual distributions with horizontal shifts (2,4,6,8 m shifts in x direction) to do: • add vertical shifts • more statistics needed
Martino Olivo - Dept. of Nuclear and Particle Physics - Uppsala University - martino.olivo@tsl.uu.se 6m
Martino Olivo - Dept. of Nuclear and Particle Physics - Uppsala University - martino.olivo@tsl.uu.se
Martino Olivo - Dept. of Nuclear and Particle Physics - Uppsala University - martino.olivo@tsl.uu.se
Martino Olivo - Dept. of Nuclear and Particle Physics - Uppsala University - martino.olivo@tsl.uu.se
Martino Olivo - Dept. of Nuclear and Particle Physics - Uppsala University - martino.olivo@tsl.uu.se
Martino Olivo - Dept. of Nuclear and Particle Physics - Uppsala University - martino.olivo@tsl.uu.se
Martino Olivo - Dept. of Nuclear and Particle Physics - Uppsala University - martino.olivo@tsl.uu.se
Martino Olivo - Dept. of Nuclear and Particle Physics - Uppsala University - martino.olivo@tsl.uu.se run_removed_string_geo.py • 4 strings to identify an event • exclude string 29 from the reconstruction (to remove reco bias) • 3 remaining strings have at least 10 hits • compute time residuals for string 29 to do: • add vertical shifts • more statistics needed • check the time res. for different z positions
Martino Olivo - Dept. of Nuclear and Particle Physics - Uppsala University - martino.olivo@tsl.uu.se
Martino Olivo - Dept. of Nuclear and Particle Physics - Uppsala University - martino.olivo@tsl.uu.se to do: • Investigate the sensitivity of the method • IceShear measurements
