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Copyright (c) 2021 Danny Petschke (danny.petschke@uni-wuerzburg.de). All rights reserved.

deepIRF - A deep learning approach for reverse-broadening the instrumental response (IRF) in lifetime spectra.

Is it generally possible to correct for the timing uncertainties inherently produced by the photomultiplier tubes?

• 1 Mio. pulse-pairs recorded from an isotope 60-Co have been stored along with the obtained timing differences (target/label value), i.e. the PMT uncertainty between them
• 70 % of the pulse-pairs have been used for training the model
• the other 30 % of the pulse-pairs have been used to test the trained model
• the results as shown in the figure below indicate that in principle deep learning can significantly reduce the uncertainty originating from the PMTs
• blue curve = initial "unseen" data (30 %), red curve = deepIRF-corrected initial "unseen" data (30 %)

https://drive.google.com/file/d/1S5gFA1I52M94mFA4AACai2Gp8C3BHxtR/view?usp=sharing