K0s K0s Final State in Two-Photon Collisions and Implications for Glueballs

The K0s K0s final state in two-photon collisions is studied with the L3 detector at LEP. The mass spectrum is dominated by the formation of the f_2'(1525) tensor meson in the helicity-two state with a two-photon width times the branching ratio into K Kbar of 76 +- 6 +- 11 eV. A clear signal for the formation of the f_J(1710) is observed and it is found to be dominated by the spin-two helicity-two state. No resonance is observed in the mass region around 2.2 GeV and an upper limit of 1.4 eV at 95% C.L. is derived for the two-photon width times the branching ratio into K0s K0s for the glueball candidate xi(2230)

Measurement of the W-Pair Production Cross Section and W-Decay Branching Fractions in e+e−e^{+}e^{-} Interactions at s\sqrt{s}= 189 GeV

The data collected by the L3 experiment at LEP at a centre-of-mass energy of $188.6~\rm{Ge\kern -0.1em V}$ are used to measure the W-pair production cross section and the W-boson decay branching fractions. These data correspond to an integrated luminosity of 176.8~pb$^{-1}$. The total cross section for W-pair production, combining all final states, is measured to be $\sigma_{\rm{WW}}= 16.24 \pm 0.37~(stat.) \pm 0.22~(syst.)$~pb. Including our data collected at lower centre-of-mass energies, the hadronic branching fraction of the W-boson is determined to be $B(\rm{W} \rightarrow \rm{qq})= \left[ 68.20 \pm 0.68~(stat.) \pm 0.33~(syst.)\right]~\%$. The results agree with the Standard Model predictions.The data collected by the L3 experiment at LEP at a centre-of-mass energy of 188.6 GeV are used to measure the W-pair production cross section and the W-boson decay branching fractions. These data correspond to an integrated luminosity of 176.8pb^-1. The total cross section for W-pair production, combining all final states, is measured to be sigma_WW = 16.24 +/- 0.37(stat.) +/- 0.22(syst.) pb. Including our data collected at lower centre-of-mass energies, the hadronic branching fraction of the W-boson is determined to be B(W ->qq) = [68.20 +/- 0.68 (stat.) +/- 0.33 (syst.) ] %. The results agree with the Standard Model predictions.The data collected by the L3 experiment at LEP at a centre-of-mass energy of 188.6 GeV are used to measure the W-pair production cross section and the W-boson decay branching fractions. These data correspond to an integrated luminosity of 176.8 pb −1 . The total cross section for W-pair production, combining all final states, is measured to be σ WW =16.24±0.37 (stat.)±0.22 (syst.) pb. Including our data collected at lower centre-of-mass energies, the hadronic branching fraction of the W-boson is determined to be B (W→qq)=[68.20±0.68 (stat.)±0.33 (syst.)]%. The results agree with the Standard Model predictions

Light resonances in Ks K pi and eta pi pi final states in gamma gamma collisions at LEP

The e+e- -> e+e- Ks K+- pi-+ e+e- -> e+e- eta pi+ pi- and final states are studied with the L3 detector at LEP using data collected at centre-of-mass energies from 183 GeV up to 202 GeV. The mass spectrum of the Ks K+- pi-+ final state shows an enhancement around 1470MeV, which is identified with the pseudoscalar meson eta(1440). This state is observed in gamma gamma collisions for the first time and its two-photon width is measured to be Gamma_gamma gamma(eta(1440))x BR(eta(1440)->KK pi)= 212 +/- 50(stat) +/- 23(sys)eV. Clear evidence is also obtained for the formation of the axial vector mesons f1(1420) and f1(1285). In the eta pi+ pi- channel the f1(1285) is observed, and upper limits for the formation of eta(1440) and eta(1295) are obtained

Spirit Distillation: Monitoring Methanol Formation with a Hand-Held Device

Methanol occurs naturally in most alcoholic distillates. Yet, suitable detectors to check liquor adherence to legal limits and, most importantly, monitor in situ methanol content during distillation are not available. Usually, distillers rely on error-prone human olfaction while “gold standard” liquid or gas chromatography (GC) are rarely used being off-line, time-consuming, and expensive. Here, we explore monitoring the methanol concentration during industrial distillation of cherry, apple, plum, and herb liquor (196 samples) with a low-cost and hand-held detector combining a Pd-doped SnO2 sensor with a packed bed separation column of Tenax TA. Therein, individual methanol concentrations (0.1–1.25 vol % or 153–3266 g methanol per hectoliter of pure ethanol) are quantified rapidly (within 2 min), bias-free and with high precision (i.e., 0.082 vol %) by headspace analysis, as confirmed by GC. Most importantly, methanol levels above E.U. and U.S. legal limits were recognized reliably without interference by much higher ethanol contents (5–90 vol %) and aromas. Also, the detector worked well even with viscous and inhomogeneous mash samples containing fruit pulp. As a result, this device can help consumers, legal authorities, and distillers to check product safety, guide distillation, and monitor even fermentation to possibly prevent occupational methanol exposure.ISSN:2692-194

Spirit Distillation: Monitoring Methanol Formation with a Hand-Held Device

Methanol occurs naturally in most alcoholic distillates. Yet, suitable detectors to check liquor adherence to legal limits and, most importantly, monitor in situ methanol content during distillation are not available. Usually, distillers rely on error-prone human olfaction while “gold standard” liquid or gas chromatography (GC) are rarely used being off-line, time-consuming, and expensive. Here, we explore monitoring the methanol concentration during industrial distillation of cherry, apple, plum, and herb liquor (196 samples) with a low-cost and hand-held detector combining a Pd-doped SnO2 sensor with a packed bed separation column of Tenax TA. Therein, individual methanol concentrations (0.1–1.25 vol % or 153–3266 g methanol per hectoliter of pure ethanol) are quantified rapidly (within 2 min), bias-free and with high precision (i.e., 0.082 vol %) by headspace analysis, as confirmed by GC. Most importantly, methanol levels above E.U. and U.S. legal limits were recognized reliably without interference by much higher ethanol contents (5–90 vol %) and aromas. Also, the detector worked well even with viscous and inhomogeneous mash samples containing fruit pulp. As a result, this device can help consumers, legal authorities, and distillers to check product safety, guide distillation, and monitor even fermentation to possibly prevent occupational methanol exposure.ISSN:2692-194

Mobilitätsplan Hochschulgebiet Zürich: Hauptbericht

Die vorliegende Studie zur Erschliessung des Hochschulgebiets Zürich schliesst an den Masterplan zum Hochschulgebiet an. Ausgehend von der Analyse der heutigen Verkehrssituation, der heutigen und künftigen Nutzung der Bauten und dem erhobenen Mobilitätsverhalten werden in diesem Bericht die Machbarkeit der Nutzungsverdichtung aus verkehrlicher Sicht überprüft und Massnahmen zur Problemlösung vorgeschlagen

Mobilitätsplan Hochschulgebiet Zürich: Dokumente zu den Kapiteln 1, 2 und 4

Die folgenden Abbildungen und Dokumente sind während den Arbeiten am Mobilitätsplan Hochschulgebiet am IVT entstanden oder wurden für die Arbeiten aus verschiedenen Quellen zusammengetragen. Sie bieten gegenüber dem Hauptbericht zusätzliche Informationen, sind aber für das Verständnis des Hauptberichts nicht erforderlich

Handheld Methanol Detector for Beverage Analysis: Interlaboratory Validation

Methanol is a toxic alcohol contained in alcoholic beverages as a natural byproduct of fermentation or added intentionally to counterfeits to increase profit. To ensure consumer safety, many countries and the EU have established strict legislation limits for methanol content. Methanol concentration is mostly detected by laboratory instrumentation since mobile devices for routine on-site testing of beverages in distilleries, at border stations or even at home are not available. Here, we validated a handheld methanol detector for beverage analysis in an ISO 5725 interlaboratory trial: A total of 119 measurements were performed by 17 independent participants (distilleries, universities, authorities, and competence centers) from six countries on samples with relevant methanol (0.1, 1.5 vol%). The detector was based on a microporous separation filter and a nanostructured gas sensor allowing on-site measurement of methanol down to 0.01 vol% (in the liquid) within only 2 min by laymen. The detector showed excellent repeatability (0.99) down to methanol concentrations of 0.01 vol%. This device has been recently commercialized (Alivion Spark M-20) with comparable accuracy to the gold-standard gas chromatography and can be readily applied for final product inspection, intake control of raw materials or to identify toxic counterfeit products

Money Illusion and the Double Dividend in the Short Run

In their seminal paper, Bovenberg and De Mooij (1994) elucidate why an ecological tax reform will not yield a double dividend, i.e. fails to increase the efficiency of the tax system. The present paper slightly modifies the Bovenberg and De Mooij model by introducing money illusion. With this modification, an environmental tax reform that raises the price level may generate a double dividend, since the additional tax on the dirty good does not reduce labor supply. A prerequisite for the double dividend to occur is a sufficiently small elasticity of substitution between clean and dirty consumption. Moreover, accounting for money illusion always reduces the intertemporal gross cost of the tax reform