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SUMMARY:Deterministic Annealing for Vertex Finding at CMS
DTSTART;VALUE=DATE-TIME:20040930T080000Z
DTEND;VALUE=DATE-TIME:20040930T080000Z
DTSTAMP;VALUE=DATE-TIME:20210411T185558Z
UID:indico-contribution-1294343@indico.cern.ch
DESCRIPTION:Speakers: E. Chabanat (IN2P3)\nCMS and others LHC experiments
offer a new challenge for the vertex reconstruction:\nthe elaboration of e
fficient algorithms at high-luminosity beam collisions. We\npresent here a
new algorithm in the vertex finding field : Deterministic Annealing\n(DA)
. This algorithm comes from information theory by analogy to statistical p
hysics\nand has already been used in clustering and classification problem
s. In our purpose\,\nthe main job is to code information of a set of track
s into prototypes which will be\nour vertices at the end of the process. T
he advantages of such a technique is to\nglobally search all vertices at o
ne time and a priori knowledge of the expected\nnumber of vertices is not
required: the algorithm creates new vertices by a phase\ntransition mechan
ism which will be describe in this contribution. Thus\, the first\npart of
this talk is devoted to a short description of the DA algorithm and to th
e\nnecessary introduction of the concept of apex points which stand for tr
acks in this\nmethod \; then a discussion of vextex reconstruction efficie
ncies follows consisting\nfinding DA's internal parameters and making a co
mparison between DA and the most\npopular vertex finding algorithm. This c
omparison is done considering 4000 bbar\nevents generated in the detector
central region without pile-up in a first approach \;\nprimary and seconda
ry vertices reconstruction results are shown. Then performances of\nDA in
regional vertex search with regional tracks reconstruction is also present
ed\nand lead to a short study of 500 bbar event with pile-up at low lumino
sity.\n\nhttps://indico.cern.ch/event/0/contributions/1294343/
LOCATION:Interlaken\, Switzerland Coffee
URL:https://indico.cern.ch/event/0/contributions/1294343/
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