Calorimetry in High-Energy Physics

Fabjan, C.

doi:10.1007/978-1-4684-5018-7_5

Cited by 42 publications

(18 citation statements)

References 109 publications

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“…where p1 and p0 are constants, E is the mean of the energy distribution, and σ is the standard deviation (see [4] for a more thorough analysis of energy resolution for sampling calorimeters).…”

Section: Resultsmentioning

confidence: 99%

Characterization of an Electromagnetic Calorimeter for the Proposed International Linear Collider

Frey¹,

Coll.²

2006

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Section: Resultsmentioning

confidence: 99%

Characterization of an Electromagnetic Calorimeter for the Proposed International Linear Collider

Frey¹,

Coll.²

2006

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“…To demonstrate this, Ref. [16] Unfortunately, no public plots are available to demonstrate the impact of this calibration sequence. Regardless, the GSC has been observed to change the central value of the JES by only a small amount, while significantly improving the resolution, thus serving the first purpose it was designed for.…”

Section: Global Sequential Calibrationmentioning

confidence: 98%

Jet Reconstruction and Performance

Schramm

2016

Springer Theses

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Building Topo-Clusters Topological cell clustering, or topo-clustering, is the process by which the individual calorimeter cells are topologically combined in order to find groupings of hard-scatter activity. The resulting three-dimensional groups of cells are known as topo-clusters. Reference [2] contains a full description of the topo-clustering procedure, while the below is a general introduction.The topo-clustering algorithm is designed to suppress calorimeter contributions from noise-related effects, while retaining activity from real physical processes. In order to do this, it is necessary to have a reasonable estimate of the average amount of noise in a typical calorimeter cell, σ noise . In very early LHC data taking conditions, σ noise was essentially given by the average amount of electronic noise in a given cell of the calorimeter. Now that the pileup level has increased considerably, the associated amount of energy spread throughout the calorimeter from pileup activity dominates the electronic noise, and σ noise ≈ σ noise pileup . The average expected noise allows for the definition of a cell significance, ς cell = E cell /σ noise . This quantity defines the probability of which the observed cell energy comes from noise, and thus provides a useful discrimination technique to suppress unwanted contributions. This is then used to construct a series of dynamic topoclusters using the following three-stage classification, often called the ATLAS 4-2-0 topo-cluster threshold scheme. In order to build the topo-clusters, all seed cells are identified and sorted in decreasing significance. Then, starting with the highest significance cell, all adjacent cells are tested for secondary status. This works in all three spatial dimensions, thus the adjacent cells can be in the same layer of the same calorimeter, different layers of the same calorimeter, or even different calorimeters. If the adjacent cell passes the secondary requirement, but was already in the collection of seed cells, it is removed from the seed collection. This procedure is then iterated, looking for new secondary cells adjacent to already identified secondary cells, and continues until no new secondary cells are added. The topo-cluster is then completed by adding all cells adjacent to the seed or secondary cell(s) that pass the tertiary requirement, which in this case corresponds to all adjacent cells. This step is not iterative. This entire procedure is then repeated for each seed cell until none remain.Once the raw topo-clusters have been built, the next step is to search for local maxima within each topo-cluster. This is important for events such as collimated Z boson decays, where two energetic quarks can be produced in close proximity.

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“…energy hadrons from tens of GeV to hundreds of GeV in hadron calorimeters [4][5][6][7]. These studies have indicated a square root dependence on the thickness t of the hadron energy resolution on the absorber thickness.…”

Section: Jinst 9 T09003mentioning

confidence: 99%

“…In this simulation study, the effect of the variation in plate thickness on hadron energy resolution is analysed using fixed energy single pions. Earlier, such studies have concentrated on very high energy hadrons from tens of GeV to hundreds of GeV in hadron calorimeters [4,5,6,7]. These studies have indicated a square root dependence on the thickness t of the hadron energy resolution on the absorber thickness.…”

Section: Introductionmentioning

confidence: 99%

Simulation studies of hadron energy resolution as a function of iron plate thickness at INO-ICAL

Lakshmi¹,

Ghosh²,

Devi³

et al. 2014

J. Inst.

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We report on a detailed simulation study of the hadron energy resolution as a function of the thickness of the absorber plates for the proposed Iron Calorimeter (ICAL) detector at the India-based Neutrino Observatory (INO). We compare the hadron resolutions obtained with absorber thicknesses in the range 1.5-8 cm for neutrino interactions in the energy range 2-15 GeV, which is relevant to hadron production in atmospheric neutrino interactions. We find that at lower energies, the thickness dependence of energy resolution is steeper than at higher energies, however there is a thickness-independent contribution that dominates at the lower thicknesses discussed in this work. As a result, the gain in hadron energy resolution with decreasing plate thickness is marginal. We present the results in the form of fits to a function with energy-dependent exponent.

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Calorimetry in High-Energy Physics

Cited by 42 publications

References 109 publications

Characterization of an Electromagnetic Calorimeter for the Proposed International Linear Collider

Characterization of an Electromagnetic Calorimeter for the Proposed International Linear Collider

Jet Reconstruction and Performance

Simulation studies of hadron energy resolution as a function of iron plate thickness at INO-ICAL

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