20 research outputs found
Measurement of the B --> K^* gamma Branching Fractions and Asymmetries
We report measurements of the radiative decay B --> K^*\gamma. The analysis
is based on a data sample containing 85.0*10^6 B meson pairs collected by the
Belle detector at the KEKB storage ring. We measure branching fractions of
Br(B^0 --> K^{*0}\gamma) = (4.01 \pm 0.21 \pm 0.17)*10^{-5} and Br(B^+ -->
K^{*+}\gamma) = (4.25 \pm 0.31 \pm 0.24)*10^{-5}, where the first and second
errors are statistical and systematic, respectively. The isospin asymmetry
between B^0 and B^+ decay widths is measured to be \Delta_{0+} = +0.012 \pm
0.044 \pm 0.026. We search for a partial rate asymmetry between CP conjugate
modes, and find A_{cp}(B --> K^*\gamma) = =0.015 \pm 0.044 \pm 0.012.Comment: 10 pages, 5 figures, submitted to Phys. Rev.
Search for the lepton-flavor-violating decays Bs0→e±μ∓ and B0→e±μ∓
A search for the lepton-flavor-violating decays Bs0→e±μ∓ and B0→e±μ∓ is performed with a data sample, corresponding to an integrated luminosity of 1.0 fb-1 of pp collisions at √s=7 TeV, collected by the LHCb experiment. The observed number of Bs0→e±μ∓ and B0→e±μ∓ candidates is consistent with background expectations. Upper limits on the branching fractions of both decays are determined to be B(Bs0→e±μ∓)101 TeV/c2 and MLQ(B0→e±μ∓)>126 TeV/c2 at 95% C.L., and are a factor of 2 higher than the previous bounds
Measurement of the Branching Fractions for and
We report improved measurements of branching fractions for charmless hadronic
two-body {\it B} meson decays containing an meson in the final state.
The results are based on a data sample of 78 fb collected on the
resonance by the Belle detector. We measure the branching
fractions and We give 90% confidence upper limits for and We also obtain the partial rate asymmetries for and
for Comment: 7 pages, 4 figures, tar.gz files submitted to PR
Study of the Hadronic Decays of \chi_c States
Hadronic decays of the P-wave spin-triplet charmonium states \chi_cJ
(J=0,1,2) are studied using a sample of \psi(2S) decays collected by the BES
detector operating at the BEPC storage ring. Branching fractions for the decays
\chi_c1 going to K_s^0 K^+ \pi^- + c.c., \chi_c0 going to K_s^0 K_s^0, \chi_c2
going to K_s^0 K_s^0, \chi_c0 going to \phi \phi, \chi_c2 going to \phi \phi
and \chi_cJ going to K^+ K^- K^+ K^- are measured for the first time, and those
for \chi_cJ going to \pi^+ \pi^- \pi^+ \pi^-, $ \chi_cJ going to \pi^+ \pi^-
K^+ K^-, \chi_cJ going to \pi^+ \pi^- p \bar{p} and \chi_cJ going to 3(\pi^+
\pi^-) are measured with improved precision. In addition, we determine the
masses of the \chi_c0 and \eta_c to be M_{\chi_{c0}}=3414.1 \pm 0.6(stat) \pm
0.8 (sys) MeV and M_{\eta_c}=2975.8 \pm 3.9(stat) \pm 1.2 (sys) MeV.Comment: 24 pages, 12 figures, 6 tables, use revtex, submitted to Phys. Rev.
Global data set of long-term summertime vertical temperature profiles in 153 lakes
peer reviewedClimate change and other anthropogenic stressors have led to long-term changes in the thermal structure, including surface temperatures, deepwater temperatures, and vertical thermal gradients, in many lakes around the world. Though many studies highlight warming of surface water temperatures in lakes worldwide, less is known about long-term trends in full vertical thermal structure and deepwater temperatures, which have been changing less consistently in both direction and magnitude. Here, we present a globally-expansive data set of summertime in-situ vertical temperature profiles from 153 lakes, with one time series beginning as early as 1894. We also compiled lake geographic, morphometric, and water quality variables that can influence vertical thermal structure through a variety of potential mechanisms in these lakes. These long-term time series of vertical temperature profiles and corresponding lake characteristics serve as valuable data to help understand changes and drivers of lake thermal structure in a time of rapid global and ecological change. © 2021, The Author(s)
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Charmonium spectroscopy from inclusive photons in J/psi and psi' decays
Comparing our precise measurements for the E1 transitions psi' ..-->.. ..gamma.. chi/sub J/ with theory has underscored the importance of including (i) spin and relativistic corrections, (ii) variations in the 2P and 1S wave function shapes resulting from corrections, and (iii) coupling to closed and open decay channels. Considering our best measured total widths, i.e., GAMMA/sub tot/(eta/sub c) and GAMMA/sub tot(chi/sub o/), it appears that higher order QCD corrections are important and large. Our measurements for the E1 rates chi/sub J/ ..-->.. ..gamma.. J/sub psi/ suffer from the large errors in GAMMA/sub tot/(chi/sub J/); our best value is for GAMMA(chi/sub o/ ..-->.. ..gamma.. J/psi), and the agreement here is slightly better with the corrected theories. Both the potential models and the lowest order QCD derived predictions are capable of consistency with our observed HFS, although QCD radiative corrections appear to go in the wrong direction (less splitting than measured). For the best measured M1 allowed pseudoscalar transition, J/psi ..-->.. ..gamma.. eta/sub c/, the naive potential model and dispersion theory predictions are roughly a factor of 2 large. Perhaps corrections to the M1 formula are important
Crop modelling for integrated assessment of risk to food production from climate change
The complexity of risks posed by climate change and possible adaptations for crop production has called for integrated assessment and modelling (IAM) approaches linking biophysical and economic models. This paper attempts to provide an overview of the present state of crop modelling to assess climate change risks to food production and to which extent crop models comply with IAM demands. Considerable progress has been made in modelling effects of climate variables, where crop models best satisfy IAM demands. Demands are partly satisfied for simulating commonly required assessment variables. However, progress on the number of simulated crops, uncertainty propagation related to model parameters and structure, adaptations and scaling are less advanced and lagging behind IAM demands. The limitations are considered substantial and apply to a different extent to all crop models. Overcoming these limitations will require joint efforts, and consideration of novel modelling approaches