Version 1
: Received: 10 November 2018 / Approved: 13 November 2018 / Online: 13 November 2018 (10:41:14 CET)
How to cite:
Peters, J.F.; Tozzi, A. Computational Topology Techniques Help to Solve a Long-Lasting Forensic Dilemma: Aldo Moro’s Death. Preprints2018, 2018110310. https://doi.org/10.20944/preprints201811.0310.v1.
Peters, J.F.; Tozzi, A. Computational Topology Techniques Help to Solve a Long-Lasting Forensic Dilemma: Aldo Moro’s Death. Preprints 2018, 2018110310. https://doi.org/10.20944/preprints201811.0310.v1.
Cite as:
Peters, J.F.; Tozzi, A. Computational Topology Techniques Help to Solve a Long-Lasting Forensic Dilemma: Aldo Moro’s Death. Preprints2018, 2018110310. https://doi.org/10.20944/preprints201811.0310.v1.
Peters, J.F.; Tozzi, A. Computational Topology Techniques Help to Solve a Long-Lasting Forensic Dilemma: Aldo Moro’s Death. Preprints 2018, 2018110310. https://doi.org/10.20944/preprints201811.0310.v1.
Abstract
Here we show how a recently-introduced method from algebraic topology, namely proximal planar vortex 1-cycles, might be helpful in detecting hidden features of the shapes and holes in images, therefore contributing to the solution of both cold and fresh forensic cases. In particular, we test the efficacy of this technique by assessing one of the most puzzling cases of recent history, i.e., Aldo Moro’s death. Terrorists of the Red Brigades claimed that they killed Moro when he was placed inside the trunk of a car,shooting him with a barrage of bullets. We demonstrate, based on the analysis of the photographs taken during the autoptic procedure, that the terrorist’s account does not hold true. Our results, showing different series of shots, point towards a three-step execution, with the first phasestaking place outside the car. In conclusion, the novel forensic analysis method introduced in this paper permits the evaluation of a collection of vortex cycles/nerves equipped with a connectedness proximity, which makes it possible to assess unexpected spatial clusters in photographs.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
