The photon yield efficiency study of transition radiators at E2 line of Beijing Test Beam Facility

This chapter describes some of the many pitfalls that may be encountered when developing the calorimeter system for a particle physics experiment. Several of the examples chosen for this chapter are based on the author’s own experience. Typically, the performance of a new calorimeter is tested in a particle beam provided by an accelerator. The potential pitfalls encountered in correctly assessing this performance both concern the analysis and the interpretation of the data collected in such tests. The analysis should be carried out with unbiased event samples. Several consequences of violating this principle are illustrated with practical examples. For the interpretation of the results, it is very important to realize that the conditions in a testbeam are fundamentally different than in practice. This has consequences for the meaning of the term “energy resolution”. It is shown that the way in which the results of beam tests are quoted may create a misleading impression of the quality of the tested instrument.

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Upgrade of CMS Full Simulation for Run 2

EPJ Web of Conferences ◽

10.1051/epjconf/201921402012 ◽

2019 ◽

Vol 214 ◽

pp. 02012

Author(s):

Vladimir Ivanchenko ◽

Sunanda Banerjee

Keyword(s):

Monte Carlo ◽

Simulation Software ◽

Pixel Detector ◽

Test Beam ◽

Hadronic Calorimeter ◽

Cms Detector ◽

The Status ◽

Full Simulation

We report on the status of the CMS full simulation software for Run 2 operations of the LHC. Initially, Geant4 10.0p02 was used and about 16 billion events were produced for analysis of 2015-2016 data. In 2017, the CMS detector was updated with a new tracking pixel detector, a modified hadronic calorimeter electronics, and extra muon detectors added. Corresponding modifications were introduced in the full simulation and Geant4 10.2p02 was adopted for 2017 simulation productions; that includes an improved Geant4 for multi-threaded mode, which became the default for 2017. For the 2018 Monte Carlo productions, the full simulation has been updated further. The new Geant4 version 10.4 is used, adopted for the production after detailed validations using test-beam and collision data. The results of validations will be described in details. Several aspects of the migration to Geant4 10.4 and modifications in CMSSW simulation software will be also discussed.

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Leaf magnesium concentration efficiency versus yield efficiency of corn hybrids

Communications in Soil Science and Plant Analysis ◽

10.1080/00103628109367155 ◽

1981 ◽

Vol 12 (4) ◽

pp. 345-354 ◽

Cited By ~ 5

Author(s):

Raymond N. Gallaher ◽

M.D. Jellum ◽

J.B. Jones

Keyword(s):

Magnesium Concentration ◽

Corn Hybrids ◽

Yield Efficiency

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Yield and Fruit Quality of Strawberry Cultivars under Different Irrigation Regimes

Agronomy ◽

10.3390/agronomy11020261 ◽

2021 ◽

Vol 11 (2) ◽

pp. 261

Author(s):

María Teresa Ariza ◽

Luis Miranda ◽

José Antonio Gómez-Mora ◽

Juan Jesús Medina ◽

David Lozano ◽

...

Keyword(s):

Fruit Quality ◽

Environmental Sustainability ◽

Water Productivity ◽

Production Cycle ◽

High Productivity ◽

Yield Efficiency ◽

Significant Yield ◽

Water Treatments ◽

Strawberry Cultivars

Strawberry (Fragaria×ananassa Duch.) production requires the input of large amounts of water provided by irrigation during the entire production cycle. However, water availability is shrinking in many important strawberry cropping areas, such as Huelva (in Europe), compromising the environmental sustainability and economic viability of strawberry production. Besides technical approaches, water-saving strategies are necessary for improving strawberry water productivity such as the use of low water-consumptive cultivars with high productivity or cultivars allowing deficit irrigation (DI) strategies. A two-year field experiment was conducted to compare the physiological and agronomical response of six commercial strawberry cultivars (‘Sabrina’, ‘Fortuna’, ‘Splendor’, ‘Primoris’, ‘Rabida’ and ‘Rociera’) to six different water treatments ranging from 65% to 140% of estimated ‘Sabrina’ evapotranspiration (ETcSab; ~224–510 mm year−1). Cultivars differed substantially in yield and water consumption linked to their biomass partitioning into reproductive/ vegetative organs, determining different yield efficiency (YE). Their water needs (IN) conditioned their response to different water supplies, involving significant yield losses in DI treatments (<20% IN) but not decreasing fruit quality. The highly-consumptive and productive ‘Rabida’ and ‘Rociera’, reduced yields by DI (<40%) but were still profitable; the low-water-consumptive but still productive ‘Fortuna’, ‘Splendor’ and ‘Primoris’ represent significant water-savings (<20%) in strawberry cultivation.

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