Electron-pion discrimination with a scintillating fiber calorimeter

Acosta, D.; Buontempo, S.; Calôba, L. P.; Caria, M.; DeSalvo, R.; Ereditato, A.; Ferrari, R.; Fraternali, M.; Fumagalli, G.; Goggi, V. G.; Hartjes, F.; Hao, W.; Henkes, T.; Henriques, A.; Linssen, L.; Livan, M.; Maio, A.; Mapelli, L.; Meier, K.; Mondardini, R.M.; Ong, B.; Paar, H. P.; Pastore, F.; Pereira, M.A. Stanojev; Poggioli, L.; Polesello, G.; Scheel, C.; Seixas, J. M.; Simon, A.; Sivertz, M.; Sonderegger, P.; Souza, M.N.; Thome, Z.; Vercesi, V.; Wang, Y.; Wigmans, R.; Xu, Chris

doi:10.1016/0168-9002(91)90489-d

Cited by 48 publications

(6 citation statements)

References 2 publications

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“…Detailed spatially unresolved measurements of the time structure in a uranium-scintillator sampling calorimeter show contributions from recoiling protons on the few 10 ns time scale, and signals from photons following neutron capture on the few 100 ns to µs time scale [10], consistent with the picture of the hadronic shower evolution discussed above. For a scintillating fiber / lead calorimeter, an exponentially decaying late component with a time constant of around 9.5 ns has been observed [11], demonstrating the importance of late shower components and correspondingly longer integration times also for lead-based calorimeters. In a copper-based dual readout calorimeter with plastic scintillator and quartz fibers a time constant of around 20 ns was observed [12].…”

Section: The Time Structure Of Hadronic Showersmentioning

confidence: 92%

The time structure of hadronic showers in highly granular calorimeters with tungsten and steel absorbers

Adloff¹,

Blaising²,

Chefdeville³

et al. 2014

J. Inst.

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The intrinsic time structure of hadronic showers influences the timing capability and the required integration time of hadronic calorimeters in particle physics experiments, and depends on the active medium and on the absorber of the calorimeter. With the CALICE T3B experiment, a setup of 15 small plastic scintillator tiles read out with Silicon Photomultipliers, the time structure of showers is measured on a statistical basis with high spatial and temporal resolution in sampling calorimeters with tungsten and steel absorbers. The results are compared to GEANT4 (version 9.4 patch 03) simulations with different hadronic physics models. These comparisons demonstrate the importance of using high precision treatment of low-energy neutrons for tungsten absorbers, while an overall good agreement between data and simulations for all considered models is observed for steel.

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Section: The Time Structure Of Hadronic Showersmentioning

confidence: 92%

The time structure of hadronic showers in highly granular calorimeters with tungsten and steel absorbers

Adloff¹,

Blaising²,

Chefdeville³

et al. 2014

J. Inst.

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“…One precendent for this in High Energy Physics has been the realization in the '90's that the time structure of Calorimeter waveforms contained useful information about the shower electromagnetic fraction [2,3]. Perhaps more relevant is the introduction of "Optimal Filtering" by Cleland et al [4], which is at the heart of the ATLAS LAr calorimeter readout.…”

Section: Introductionmentioning

confidence: 99%

Digitized Waveform Processing for Fast Timing

White¹

2018

Preprint

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The prospect of pileup induced backgrounds at the High Luminosity LHC (HL-LHC) has stimulated intense interest in technology for charged particle timing at high rates [1]. In this paper I report on a framework for fast timing sensor and related electronics development used primarily within the context of PICOSEC 1 . Our collaboration accumulated a large (∼fewTbyte) set of waveforms from timing sensors based on MicroChannel Plates(MCP), MicroPattern Gas Detectors(MPGD) and capacitive readout Avalanche Diodes (aka HFS) with typically 20-40 GSa/s waveform sampling. We have reported charged particle time resolutions of 3.6, 24 and 20 picoseconds, respectively for these sensors. In this paper I discuss some of the tools developed during this activity for the processing of waveforms digitized at sampling rates ranging from 40 MHz (ATLAS ZDC) to 40 GHz (PICOSEC).

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“…A number of studies have previously addressed various aspects of the time development of hadronic showers [4,5,7,8]. Dedicated efforts have been made recently to measure the time structure of the hadronic showers and provide benchmarking input for the simulation tools [6].…”

Section: Introductionmentioning

confidence: 99%

Ultra-fast hadronic calorimetry

Denisov

Lukić

Mokhov

et al. 2018

Nuclear Instruments and Methods in Physics Research Section A:

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Calorimeters for particle physics experiments with integration time of a few ns will substantially improve the capability of the experiment to resolve event pileup and to reject backgrounds. In this paper the time development of hadronic showers induced by 30 and 60 GeV positive pions and 120 GeV protons is studied using Monte Carlo simulation and beam tests with a prototype of a sampling steel-scintillator hadronic calorimeter. In the beam tests, scintillator signals induced by hadronic showers in steel are sampled with a period of 0.2 ns and precisely time-aligned in order to study the average signal waveform at various locations with respect to the beam particle impact. Simulations of the same setup are performed using the MARS15 code. Both simulation and test beam results suggest that energy deposition in steel calorimeters develop over a time shorter than 2 ns providing opportunity for ultra-fast calorimetry. Simulation results for an "ideal" calorimeter consisting exclusively of bulk tungsten or copper are presented to establish the lower limit of the signal integration window.

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Electron-pion discrimination with a scintillating fiber calorimeter

Cited by 48 publications

References 2 publications

The time structure of hadronic showers in highly granular calorimeters with tungsten and steel absorbers

The time structure of hadronic showers in highly granular calorimeters with tungsten and steel absorbers

Digitized Waveform Processing for Fast Timing

Ultra-fast hadronic calorimetry

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