Software development for microstrip tracking detectors of the BM@N experiment / The development of a new conditions database prototype for ATLAS within the CREST project / Numerical study of the electron hydration process and the gas condensate filtration through a porous medium

Seminars

Laboratory of Information Technologies

Date and Time: Monday, 22 May 2023, at 11:00 AM

Venue: room 310, Laboratory of Information Technologies

  1. Seminar topic: “Software development for microstrip tracking detectors of the BM@N experiment”

    Speaker: Dmitry Baranov

    Abstract:

    The report provides a brief overview of software develoment for simulation and data processing concerning microstrip detectors of the tracking system in the BM@N experiment for the experimental runs have already been performed.

  2. Seminar topic: “The development of a new conditions database prototype for ATLAS within the CREST project”

    Speaker: Mikhail Mineev

    Authors: E.Alexandrov, A.Formica, M.Mineev, N.Ozturk, S.Roe, M.Vogel

    Abstract:

    The CREST project is a new realization of the Conditions DB for the ATLAS experiment. The data access was realized with a pure REST API with JSON support. The CREST development was focused on the optimization of the DB structure and the data access. The components written by one of the authors (CrestApi, crest_cmd and utilities) are considered in details.

  3. Seminar topic: “Numerical study of the electron hydration process and the gas condensate filtration through a porous medium”

    Speaker: Alina Volokhova

    Abstract:

    Methods, software packages and results of numerical study of two mathematical models of evolutionary physical processes described by initial-boundary value problems for systems of nonlinear partial differential equations have been presented. Numerical investigation of both models requires the massive calculations in a wide range of model parameters to find conditions for adequate reproduction of the time-dependent characteristics observed in the experiment. The reasonable agreement of numerical results with the corresponding experimental data confirms the adequacy of the approaches used and the prospects for their further use and development.