9,600 research outputs found

    The hep reaction and the solar neutrino problem

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    The results of a new calculation of the astrophysical S-factor for the proton weak capture on 3He are here reviewed. The methods used to obtain very accurate initial and final state wave functions and to construct the nuclear weak current operator are described. Finally the implications of these results for the Super-Kamiokande solar neutrino data are discussed.Comment: 10 pages, 1 figure, XVII European Few-Body plenary talk, Evora, September 200

    Mechanosensing in myosin filament solves a 60 years old conflict in skeletal muscle modeling between high power output and slow rise in tension

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    Almost 60 years ago Andrew Huxley with his seminal paper \cite{Huxley1957} laid the foundation of modern muscle modeling, linking chemical events to mechanical performance. He described mechanics and energetics of muscle contraction through the cyclical attachment and detachment of myosin motors to the actin filament with ad hoc assumptions on the dependence of the rate constants on the strain of the myosin motors. That relatively simple hypothesis is still present in recent models, even though with several modifications to adapt the model to the different experimental constraints which became subsequently available. However, already in that paper, one controversial aspect of the model became clear. Relatively high attachment and detachment rates of myosin to the actin filament were needed to simulate the high power output at intermediate velocity of contraction. However, these rates were incompatible with the relatively slow rise in tension after activation, despite the rise should be generated by the same rate functions. This discrepancy has not been fully solved till today, despite several hypotheses have been forwarded to reconcile the two aspects. Here, using a conventional muscle model, we show that the recently revealed mechanosensing mechanism of recruitment of myosin motors \cite{Linarietal2015} can solve this long standing problem without any further ad-hoc hypotheses

    Muon capture on deuteron and the neutron-neutron scattering length

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    We study the capture rate in the doublet hyperfine initial state for the muon capture reaction μ+2Hνμ+n+n\mu^- + \,^2{\rm H} \rightarrow \nu_\mu + n + n (ΓD\Gamma^D) and the total capture rate for the reaction μ+3Heνμ+3H \mu^- + \,^3{\rm He} \rightarrow \nu_\mu + \,^3{\rm H} (Γ0\Gamma_0). We investigate whether ΓD\Gamma^D and Γ0\Gamma_0 could be sensitive to the nnnn SS-wave scattering length (anna_{nn}). To this aim, we consider nuclear potentials and weak currents derived within χ\chiEFT. We employ the N3LO chiral potential with cutoff Λ\Lambda=500 MeV, but the low-energy constant (LEC) determining anna_{nn} is varied so as to obtain anna_{nn}=-18.95 (the present empirical value), -16.0, -22.0, and +18.22 fm. The last value leads to a nnnn bound state with a binding energy of 139 keV. The LECs cDc_D and cEc_E, present in the three-nucleon potential and axial-vector current, are fitted to reproduce the A=3A=3 binding energies and the triton Gamow-Teller matrix element. The capture rate ΓD\Gamma^D is found to be 399(3) s1^{-1} for anna_{nn}=-18.95 and -16.0 fm; and 400(3) s1^{-1} for anna_{nn}=-22.0 fm. For anna_{nn}=+18.22 fm, we obtain 275(3) s1^{-1} (135(3) s1^{-1}), when the final nnnn system is unbound (bound). The rate Γ0\Gamma_0 is found to be 1494(15), 1491(16), 1488(18), and 1475(16) s1^{-1} for anna_{nn}=-18.95, -16.0, -22.0, and +18.22 fm, respectively. The theoretical uncertainties are due to the fitting procedure and radiative corrections. Our results seem to exclude the possibility of constraining a negative anna_{nn} with an uncertainty of less than ±\sim \pm 3 fm through an accurate determination of the muon capture rates, but the uncertainty on the present empirical value will not complicate the interpretation of the (forth-coming) experimental results for ΓD\Gamma^D. Finally, a comparison with the already available experimental data discourages the possibility of a bound nnnn state.Comment: 5 pages, 2 figures; revisited version accepted for publication on Phys. Rev.

    Credit risk and business cycle over different regimes

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    In the recent banking literature on the relationship between credit risk and the business cycle, the presence of asymmetric effects both across credit risk regimes and through the business cycle has been generally neglected. Employing threshold regression models both at the aggregate and the bank level and exploiting a unique dataset on Italian bank borrowersÂ’ default rates, this paper analyzes whether this relationship is characterized by regime switches and thus by asymmetries, determining the thresholds endogenously. Our results show that not only are the effects of the business cycle on credit risk more pronounced during downturns but also when credit risk conditions are poor.Credit Risk, Panel Threshold Regression Models, Regime Switching, Default Rate, Business Cycle, Cyclicality, Basel 2

    Muon capture on light nuclei

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    This work investigates the muon capture reactions 2H(\mu^-,\nu_\mu)nn and 3He(\mu^-,\nu_\mu)3H and the contribution to their total capture rates arising from the axial two-body currents obtained imposing the partially-conserved-axial-current (PCAC) hypothesis. The initial and final A=2 and 3 nuclear wave functions are obtained from the Argonne v_{18} two-nucleon potential, in combination with the Urbana IX three-nucleon potential in the case of A=3. The weak current consists of vector and axial components derived in chiral effective field theory. The low-energy constant entering the vector (axial) component is determined by reproducting the isovector combination of the trinucleon magnetic moment (Gamow-Teller matrix element of tritium beta-decay). The total capture rates are 393.1(8) s^{-1} for A=2 and 1488(9) s^{-1} for A=3, where the uncertainties arise from the adopted fitting procedure.Comment: 6 pages, submitted to Few-Body Sys

    Revisiting the empirical evidence on firmsÂ’ money demand

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    In this paper we estimate the demand for liquidity by US non financial firms using data from COMPUSTAT database. In contrast to the previous literature, we consider firm-specific effects, such as cost-of-capital and wages. From the balanced and unbalanced panel estimations we infer that there are economies of scale in money demand by US business firms, because estimated sales elasticities are smaller than unity. In particular, they are lower than in previous empirical studies, suggesting that economies of scale in the demand for money are even bigger than formerly thought. In addition, it emerges that labor is not a substitute for money.Panel Data, Liquidity, Demand for Money, COMPUSTAT

    DISSECTING PREFERENCE HETEROGENEITY IN CONSUMER STATED CHOICES

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    This paper investigates alternative methods to account for preference heterogeneity in choice experiments. The main interest lies in assessing the different results obtainable when investigating heterogeneity in various ways. This comparison can be performed on the basis of model performance and, more interesting, by evaluating willingness to pay measures. Preference heterogeneity analysis relates to the methods used to search for it. Socioeconomic variables can be interacted with attributes and/or alternative-specific constants. Similarly one can consider different subsets of data (strata variables) and estimate a multinomial logit model for each of them. Heterogeneity in preferences can be investigated by including it in the systematic component of utility or in the stochastic one. Mixed logit and latent class models are examples of the first approach. The former, in its random variable specification, allows for random taste variations assuming a specific distribution of the attribute coefficients over the population and permit to capture additional heterogeneity by consenting parameters to vary across individuals both randomly and systematically with observable variables. In other words it accounts for heterogeneity in the mean and in the variance of the distribution of the random parameters due to individual characteristics. Latent class models capture heterogeneity by considering a discrete underlying distribution of tastes. The small number of mass points are the unobserved segments or behavioral groups within which preferences are assumed homogeneous. The probability of membership in a latent class can be additionally made a function of individual characteristics. Alternatively, heterogeneity can be incorporated in terms of the random component of utility. The covariance heterogeneity model adopts the second approach representing a generalization of the nested logit model and can be used to explain heteroscedastic error structures in the data. It allows the inclusive value parameter to be a function of choice alternative attributes and/or individual characteristics. An alternative method refers to an extension of the multinomial logit model in which the integration of unobserved heterogeneity is performed through random error components distributed according to a tree. An interesting improvement in modeling preference heterogeneity is related to its simultaneous inclusion in both systematic and stochastic parts. A valid example is the inclusion of an error component part in a random coefficient specification of the mixed multinomial logit model. The empirical data used for comparing the various methods tested relates to departure airport choice in a multi-airport region. The area of study includes two regions in central Italy, Marche and Emilia-Romagna, and four airports: Ancona, Rimini, Forlì and Bologna. A fractional factorial experimental design was adopted to construct a four alternative choice set and five hypothetical choice exercises in each questionnaire. The selection of the potentially most important attributes and their relative levels was developed on the basis of previous research.heterogeneity, airport choice, stated preferences, discrete choice model.

    Quality and Public Transport Service Contracts

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    Public authorities and transport operators are both involved in the provision of public transport services. There is a contrast between the social goals of the former and the private ones of the latter. Regulation plays an important role especially failing competition. Service contracts are the natural method to set bilateral After a brief description of the most important regulatory procedures, we focus our attention on the quality framework in service contracts. In recent years the inclusion of quality requirements in contracts is becoming common practice, especially when adopting price cap regulation. This paper suggests a criterion for service quality definition, measurement and integration in contracts for the production of socially valuable transport services. Using stated preferences methods and choice-based conjoint analysis to analyse customer preferences we estimate the passengers’ evaluation of different service features and calculate a service quality index. A case study demonstrates the procedure to follow for measuring service quality in local public transport.service quality, stated preferences, service contract.

    Adiabatic evolution on a spatial-photonic Ising machine

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    Combinatorial optimization problems are crucial for widespread applications but remain difficult to solve on a large scale with conventional hardware. Novel optical platforms, known as coherent or photonic Ising machines, are attracting considerable attention as accelerators on optimization tasks formulable as Ising models. Annealing is a well-known technique based on adiabatic evolution for finding optimal solutions in classical and quantum systems made by atoms, electrons, or photons. Although various Ising machines employ annealing in some form, adiabatic computing on optical settings has been only partially investigated. Here, we realize the adiabatic evolution of frustrated Ising models with 100 spins programmed by spatial light modulation. We use holographic and optical control to change the spin couplings adiabatically, and exploit experimental noise to explore the energy landscape. Annealing enhances the convergence to the Ising ground state and allows to find the problem solution with probability close to unity. Our results demonstrate a photonic scheme for combinatorial optimization in analogy with adiabatic quantum algorithms and enforced by optical vector-matrix multiplications and scalable photonic technology.Comment: 9 pages, 4 figure
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