Search results for "Computer Science::Computers and Society"
showing 10 items of 50 documents
"Table 1" of "Measurement of the t anti-t production cross-section in p anti-p collisions using dilepton events"
2008
TOP TOPBAR production cross section for top quark mass 175 GeV.
"Table 1" of "Measurement of the t anti-t production cross section in p anti-p collisions at s**(1/2) = 1.96-TeV"
2008
The combined result for the TOP TOPBAR production cross section at top quark mass of 175 GeV.. The second DSYS error is the uncertainty on the luminosity.
"Table 2" of "Measurement of the t anti-t production cross section in p anti-p collisions at s**(1/2) = 1.96-TeV"
2008
The cross section for TOP TOPBAR production at the world average top quark mass of 172.6 GeV.. Errors contain both statistics and systematics.
"Table 12" of "Search for light scalar top quark pair production in final states with two leptons with the ATLAS detector in sqrt(s) = 7 TeV proton-p…
2012
Distribution of the Jet Multiplicity for all events in the Top Control Region.
"Table 10" of "Measurements of the charge asymmetry in top-quark pair production in the dilepton final state at $\sqrt{s}=8$ TeV with the ATLAS detec…
2017
The top-antitop asymmetry dependence on the transverse momentum of the top-antitop system ($p_T^{t\bar{t}}$) in the fiducial volume.
"Table 2" of "Measurement of the t anti-t production cross-section in p anti-p collisions using dilepton events"
2008
TOP TOPBAR production cross section for the current Tevatron average top quark mass 170.9 GeV.. Error contains both statistics and systematics.
Fitting random cash management models to data
2019
Abstract Organizations use cash management models to control balances to both avoid overdrafts and obtain a profit from short-term investments. Most management models are based on control bounds which are derived from the assumption of a particular cash flow probability distribution. In this paper, we relax this strong assumption to fit cash management models to data by means of stochastic and linear programming. We also introduce ensembles of random cash management models which are built by randomly selecting a subsequence of the original cash flow data set. We illustrate our approach by means of a real case study showing that a small random sample of data is enough to fit sufficiently goo…
"Table 2" of "Comprehensive measurements of $t$-channel single top-quark production cross sections at $\sqrt{s} = 7$ TeV with the ATLAS detector"
2021
Detailed list of the contribution of each source of uncertainty to the total uncertainty on the measured values of $\sigma(tq)$, $\sigma(\bar{t}q)$, $R_t$, and $\sigma(tq+\bar{t}q)$. The evaluation of the systematic uncertainties has a statistical uncertainty of $0.3\,\%$. Uncertainties contributing less than $1.0\,\%$ are marked with "$<1$" in the paper. To provide numerical values for this table in HEPdata, these uncertainties are approximated with $\pm 0.5\,\%$. This approximation is applied to all measurements for the following uncertainties$:$ JES statistical, JES physics modeling, JES mixed detector and modeling, JES close-by-jets, JES pileup, $b$-JES, jet vertex fraction, mistag e…
"Table 1" of "Comprehensive measurements of $t$-channel single top-quark production cross sections at $\sqrt{s} = 7$ TeV with the ATLAS detector"
2014
Predicted and observed events yields for the 2-jet and 3-jet channels considered in this measurement. The multijet background is estimated using data-driven techniques (see Sec. VB); an uncertainty of $50\%$ is applied. All the other expectations are derived using theoretical cross sections and their uncertainties (see Secs. VA and VC in the paper).
The MORA project
2018
The MORA (Matter's Origin from the RadioActivity of trapped and oriented ions) project aims at measuring with unprecedented precision the D correlation in the nuclear beta decay of trapped and oriented ions. The D correlation offers the possibility to search for new CP-violating interactions, complementary to searches done at the LHC and with Electric Dipole Moments. Technically, MORA uses an innovative in-trap orientation method which combines the high trapping efficiency of a transparent Paul trap with laser orientation techniques. The trapping, detection, and laser setups are under development, for first tests at the Accelerator laboratory, JYFL, in the coming years.