Measurement of t(t)over-bar normalised multi-differential cross sections in pp collisions at root s=13 TeV, and simultaneous determination of the strong coupling strength, top quark pole mass, and parton distribution functions

Peer reviewe

An embedding technique to determine ττ backgrounds in proton-proton collision data

An embedding technique is presented to estimate standard model tau tau backgrounds from data with minimal simulation input. In the data, the muons are removed from reconstructed mu mu events and replaced with simulated tau leptons with the same kinematic properties. In this way, a set of hybrid events is obtained that does not rely on simulation except for the decay of the tau leptons. The challenges in describing the underlying event or the production of associated jets in the simulation are avoided. The technique described in this paper was developed for CMS. Its validation and the inherent uncertainties are also discussed. The demonstration of the performance of the technique is based on a sample of proton-proton collisions collected by CMS in 2017 at root s = 13 TeV corresponding to an integrated luminosity of 41.5 fb(-1).Peer reviewe

Measurement of the t(t)over-bar production cross section, the top quark mass, and the strong coupling constant using dilepton events in pp collisions at root s=13TeV

A measurement of the top quark-antiquark pair production cross section sigma(t (t) over bar) in proton-proton collisions at a centre-of-mass energy of 13 TeV is presented. The data correspond to an integrated luminosity of 35.9 fb(-1), recorded by the CMS experiment at the CERN LHC in 2016. Dilepton events (e(+/-) mu(-/+), mu(+) mu(-), e(+) e(-)) are selected and the cross section is measured from a likelihood fit. For a top quark mass parameter in the simulation of m(t)(MC) = 172.5 GeV the fit yields a measured cross section sigma(t (t) over bar) = 803 +/- 2 (stat) +/- 25 (syst) +/- 20 (lumi) pb, in agreement with the expectation from the standard model calculation at next-to-next-to-leading order. A simultaneous fit of the cross section and the top quark mass parameter in the POWHEG simulation is performed. The measured value of m(t)(MC) = 172.33 +/- 0.14 (stat)(-0.72)(+0.66) (syst) GeV is in good agreement with previous measurements. The resulting cross section is used, together with the theoretical prediction, to determine the top quark mass and to extract a value of the strong coupling constant with different sets of parton distribution functions.Peer reviewe

Abstract ARTICLE IN PRESS Journal of Quantitative Spectroscopy &

Stochastic radiative transfer model for mixture of discontinuous vegetation canopie

Opinions of Computer and Instructional Technologies Students about the Robotic Coding Course

Robotic coding from coding training improves high-level cognitive skills. The re-search aims to determine the opinions of the senior students who took up the cod-ing course in the information technologies teaching department about the robotic coding course. In this context, 41 senior year students studying in Cyprus and Russian Universities were interviewed. The qualitative research method was ap-plied. Semi-structured interview forms were created by taking experts’ opinions. Findings were analysed by the content analysis method. The answers obtained were determined; general views, perceived usefulness, gains, reinforcement out-side of school and professional contributions were analysed. According to the re-sults, pre-service teachers of the information technology departments should be oriented towards the preparation of robotics and courses in schools. They stated that there is a high demand from all school education levels for training in robotic courses

Retrieval of canopy height profiles from lidar measurements over coniferous forests”, IEEE Transactions on Geoscience and Remote Sensing, submitted in August 2004

Abstract -The current algorithm for retrieval of canopy height profiles (CHPs) from lidar waveforms is based on the simplifying assumptions of insignificance of the effects of multiple scattering and a uniform horizontal distribution of vegetated elements. These assumptions make it hardly applicable in the case of coniferous forests, characterized by a high degree of clumping and significant multiple scattering of radiation in the near-infrared spectrum. In this study, we modify the current algorithm to account for clumping of needles into shoots, multiple scattering of radiation between the needles of a shoot, shoots inclination and multiple scattering of radiation between shoots. The performance of the modified algorithm is evaluated with SLICER waveforms collected over the BOREAS old black spruce site in summer 1994

Analysis of interannual changes in northern vegetation activity observed in AVHRR data during

Abstract—This paper reports on the analysis of Pathfinder AVHRR land (PAL) data set that spans the period July 1981 to September 1994. The time series of normalized difference vegetation index (NDVI) data for land areas north of 45 N assembled by correcting the PAL data with spectral methods confirms the northerly greening trend and extension of the photosynthetically active growing season. Analysis of the channel reflectance data indicates that the interannual changes in red and near-infrared reflectances are similar to seasonal changes in the spring time period when green leaf area increases and photosynthetic activity ramps up. Model calculations and theoretical analysis of the sensitivity of NDVI to background reflectance variations confirm the hypothesis that warming driven reductions in snow cover extent and earlier onset of greening are responsible for the observed changes in spectral reflectances over vegetated land areas. Index Terms—AVHRR, interannual variability, normalized difference vegetation index (NDVI), vegetation dynamics. I

Utility of Leaf Area Index for Monitoring Phenology of Russian Forests

Retrievals of land surface phenology metrics depend on the choice of base variables selected to quantify the seasonal “greenness” profile of vegetation. Commonly used variables are vegetation indices, which curry signal not only from vegetation but also from the background of sparse foliage, they saturate over the dense foliage and are also affected by sensor bandwidth, calibration, and illumination/view geometry, thus introducing bias in the estimation of phenometrics. In this study we have intercompared the utility of LAI and other biophysical variables (FPAR) and radiometric parameters (NDVI and EVI2) for phenometrics retrievals. This study was implemented based on MODIS products at a resolution of 230 m over the entire extent of Russian forests. Free from artifacts of radiometric parameters, LAI exhibits a better utilization of its dynamic range during the course of seasonal variations and better sensitivity to the actual foliage “greenness” changes and its dependence on forest species. LAI-based retrievals feature a more conservative estimate of the duration of the growing season, including late spring (9.3 days) and earlier fall (8.9 days), compared to those retrieved using EVI2. In this study, we have tabulated typical values of the key phenometrics of 12 species in Russian forests. We have also demonstrated the presence of the latitudinal dependence of phenometrics over the extent of Russian forests