Azzopardi, G. Muscat, A. Redaelli, S. Salvachua, B. Valentino, G. JACoW Publishing Geneva, Switzerland 2226-0358 978-3-95450-209-7 10.18429/JACoW-ICALEPCS2019-MOPHA010 English 208-213 MOPHA010 alignment collimation beam-losses detector software Contribution to a conference proceedings 2020 2020-08 https://doi.org/10.18429/JACoW-ICALEPCS2019-MOPHA010 https://jacow.org/icalepcs2019/papers/mopha010.pdf The collimation system used in the Large Hadron Collider at CERN is positioned around the beam with a hierarchy that protects sensitive equipment from unavoidable beam losses. The collimator settings are determined using a beam-based alignment technique, where collimator jaws are moved towards the beam until the beam losses exceed a predefined threshold. This threshold needs to be updated dynamically, corresponding to the changes in the beam losses. The current method for aligning collimators is semi-automated requiring a collimation expert to monitor the loss signals and continuously select and update the threshold accordingly. The human element in this procedure is a major bottleneck for speeding up the alignment. This paper therefore proposes a method to fully automate this threshold selection. A data set was formed from previous alignment campaigns and analyzed to define an algorithm that produced results consistent with the user selections. In over 90% of the cases the difference between the two was negligible and the algorithm presented in this study was used for collimator alignments throughout 2018.