Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Randomized Computer Vision Approaches for Pattern Recognition in Timepix
  and Timepix3 Detectors   Timepix and Timepix3 are hybrid pixel detectors ($256\times 256$ pixels),
capable of tracking ionizing particles as isolated clusters of pixels. To
efficiently analyze such clusters at potentially high rates, we introduce
multiple randomized pattern recognition algorithms inspired by computer vision.
Offering desirable probabilistic bounds on accuracy and complexity, the
presented methods are well-suited for use in real-time applications, and some
may even be modified to tackle trans-dimensional problems. In Timepix
detectors, which do not support data-driven acquisition, they have been shown
to correctly separate clusters of overlapping tracks. In Timepix3 detectors,
simultaneous acquisition of Time-of-Arrival (ToA) and Time-over-Threshold (ToT)
pixel data enables reconstruction of the depth, transitioning from 2D to 3D
point clouds. The presented algorithms have been tested on simulated inputs,
test beam data from the Heidelberg Ion therapy Center and the Super Proton
Synchrotron and were applied to data acquired in the MoEDAL and ATLAS
experiments at CERN.

11
The categories of this paper are: hep-lat
2
The categories of this paper are: math
26
The categories of this paper are: bayes-an
18
The categories of this paper are: econ
7
The categories of this paper are: hep-th
31
The categories of this paper are: ao-sci
30
The categories of this paper are: q-alg
37
The categories of this paper are: supr-con
17
The categories of this paper are: q-fin
33
The categories of this paper are: plasm-ph
10
The categories of this paper are: q-bio
13
The categories of this paper are: quant-ph
25
The categories of this paper are: patt-sol
23
The categories of this paper are: solv-int
16
The categories of this paper are: stat
32
The categories of this paper are: atom-ph