Consistent simulation of non-resonant diphoton production at hadron collisions with a custom-made parton shower

We have developed a Monte Carlo event generator for non-resonant diphoton ($\gamma\gamma$) production at hadron collisions in the framework of GR@PPA, which consistently includes additional one-jet production. The jet-matching method developed for initial-state jet production has been extended to the final state in order to regularize the final-state QED divergence in the $qg \rightarrow \gamma\gamma + q$ process. A QCD/QED-mixed parton shower (PS) has been developed to complete the matching. The PS has the capability of enforcing hard-photon radiation, and small-$Q^{2}$ photon radiations that are not covered by the PS are supplemented by using a fragmentation function. The generated events can be passed to general-purpose event generators in order to perform the simulations down to the hadron level. Thus, we can simulate the isolation requirements that must be applied in experiments at the hadron level. The simulation results are in reasonable agreement with the predictions from RESBOS and DIPHOX. The simulated hadron-level events can be further fed to detector simulations in order to investigate the detailed performance of experiments.Comment: 23 pages, 15 figure

GR@PPA 2.8: initial-state jet matching for weak boson production processes at hadron collisions

The initial-state jet matching method introduced in our previous studies has been applied to the event generation of single $W$ and $Z$ production processes and diboson ($W^{+}W^{-}$, $WZ$ and $ZZ$) production processes at hadron collisions in the framework of the GR@PPA event generator. The generated events reproduce the transverse momentum spectra of weak bosons continuously in the entire kinematical region. The matrix elements (ME) for hard interactions are still at the tree level. As in previous versions, the decays of weak bosons are included in the matrix elements. Therefore, spin correlations and phase-space effects in the decay of weak bosons are exact at the tree level. The program package includes custom-made parton shower programs as well as ME-based hard interaction generators in order to achieve self-consistent jet matching. The generated events can be passed to general-purpose event generators to make the simulation proceed down to the hadron level.Comment: 29 pages, 14 figures; minor changes to clarify the discussions, and corrections of typo

チョウザイシツ ニオケル カンジャ マチ ジカン ノ カイセキ

Queues in rash-hour type were considered. The process of compounding of medicines constitutes a few of flows in hospital pharmacy. With due regard to this process, the hospital pharmacy of medical department in Okayama University in Japan was modelled for computer simulation. A prescription is expressed in list-structure and the simulation program is made in FORTRAN language

FORTRAN プログラム ノ フローチャート サクセイ 2

Two significant improvements over the flowcharter, FORTFLOW, were made by drawing flowcharts on a X-Y plotter and by listing the cross-reference tables about statement numbers and variable names. The flowcharts on X-Y plotter were paged for the convenience of programmers. By providing the cross-reference tables, the programs in the flowcharts could be modified more easily

FORTRAN プログラム ノ フローチャート サクセイ 1

Flow charts are one of the most important documentations in system developments and maintenance of data processing system. The system for flow charting of FORTRAN programs, FORTFLOW, is prepared, which generate flow charts on a line printer. These charts are useful for program modifications, communications between members of system development group and decrease of development costs. This system helps especially an inexperienced user of a data processing system to understand a problem. FORTELOW are coded in FORTRAN language and are available for FORTRAN users by general purpose electronic computers

インシ ブンセキ ニオケル カンド ブンセキ ソフトウエア SAF F ノ カイハツ

Statistical software SAF/B and SAF/S have been developed so far sensitivity analysis in factor analysis in BASIC and S language by Tanaka, Odaka, and Castano-Tostado (1990) and Inoue, Odaka, Tanaka (1991). For all these versions, the main objective is to investigate how a small change of data affects the outcome of the analysis and to detect influential observations. For the similar purpose we are developing SAF/F in FORTRAN using the main frame FACOM M-380 of the Information Processing Center, Okayama University of Science. With this software sensitivity analysis can be carried out for the factor analysis of large data sets. This is a report of the first version of SAF/F