scholarly journals The GeoModel tool suite for detector description

2021 ◽  
Vol 251 ◽  
pp. 03007
Author(s):  
Marilena Bandieramonte ◽  
Riccardo Maria Bianchi ◽  
Joseph Boudreau ◽  
Andrea Dell’Acqua ◽  
Vakhtang Tsulaia

The GeoModel class library for detector description has recently been released as an open-source package and extended with a set of tools to allow much of the detector modeling to be carried out in a lightweight development environment, outside of large and complex software frameworks. These tools include the mechanisms for creating persistent representation of the geometry, an interactive 3D visualization tool, various command-line tools, a plugin system, and XML and JSON parsers. The overall goal of the tool suite is a fast geometry development cycle with quick visual feedback. The tool suite can be built on both Linux and Macintosh systems with minimal external dependencies. It includes useful command-line utilities: gmclash which runs clash detection, gmgeantino which generates geantino maps, and fullSimLight which runs GEANT4 simulation on geometry imported from GeoModel description. The GeoModel tool suite is presently in use in both the ATLAS and FASER experiments. In ATLAS it will be the basis of the LHC Run 4 geometry description.

Author(s):  
Dawei Xu ◽  
Lin Wang ◽  
Xin Wang ◽  
Dianquan Li ◽  
Jianpeng Duan ◽  
...  

2020 ◽  
Author(s):  
Petra Gospodnetic ◽  
Markus Rauhut ◽  
Hans Hagen

State of the art surface inspection planning requires an expert approach with a lot of trial and error. Because of the lack of available aiding tools, an engineer building inspection systems must rely heavily on his or her experience. In this work we proposed an interactive 3D visualization tool to help an engineer determine good viewpoints. It can be used both as a standalone tool for manual viewpoint placement or as an interface to the inspection planning algorithms giving the engineer a possibility to evaluate and modify automatically generated plans.


2018 ◽  
Vol 30 (7) ◽  
pp. 1268 ◽  
Author(s):  
Guodao Sun ◽  
Puyong Huang ◽  
Yipeng Liu ◽  
Ronghua Liang

2018 ◽  
Vol 477 (2) ◽  
pp. 1495-1507 ◽  
Author(s):  
T Dykes ◽  
A Hassan ◽  
C Gheller ◽  
D Croton ◽  
M Krokos

2019 ◽  
Author(s):  
Stefan Kurtenbach ◽  
J. William Harbour

AbstractWhile there are sophisticated resources available for displaying NGS data, including the Integrative Genomics Viewer (IGV) and the UCSC genome browser, exporting regions and assembling figures for publication remains challenging. In particular, customizing track appearance and overlaying track replicates is a manual and time-consuming process. Here, we present SparK, a tool which auto-generates publication-ready, high-resolution, true vector graphic figures from any NGS-based tracks, including RNA-seq, ChIP-seq, and ATAC-seq. Novel functions of SparK include averaging of replicates, plotting standard deviation tracks, and highlighting significantly changed areas. SparK is written in Python 3, making it executable on any major OS platform. Using command line prompts to generate figures allows later changes to be made very easy. For instance, if the genomic region of the plot needs to be changed, or tracks need to be added or removed, the figure can easily be re-generated within seconds without the manual process of re-exporting and re-assembling everything. After plotting with SparK, changes to the output SVG vector graphic files are simple to make, including text, lines, and colors. SparK is publicly available on GitHub: https://github.com/harbourlab/SparK.


2018 ◽  
pp. 31-63 ◽  
Author(s):  
Lukáš Herman ◽  
Tomáš Řezník ◽  
Zdeněk Stachoň ◽  
Jan Russnák

Various widely available applications such as Google Earth have made interactive 3D visualizations of spatial data popular. While several studies have focused on how users perform when interacting with these with 3D visualizations, it has not been common to record their virtual movements in 3D environments or interactions with 3D maps. We therefore created and tested a new web-based research tool: a 3D Movement and Interaction Recorder (3DmoveR). Its design incorporates findings from the latest 3D visualization research, and is built upon an iterative requirements analysis. It is implemented using open web technologies such as PHP, JavaScript, and the X3DOM library. The main goal of the tool is to record camera position and orientation during a user’s movement within a virtual 3D scene, together with other aspects of their interaction. After building the tool, we performed an experiment to demonstrate its capabilities. This experiment revealed differences between laypersons and experts (cartographers) when working with interactive 3D maps. For example, experts achieved higher numbers of correct answers in some tasks, had shorter response times, followed shorter virtual trajectories, and moved through the environment more smoothly. Interaction-based clustering as well as other ways of visualizing and qualitatively analyzing user interaction were explored.


Author(s):  
Matthias Wieczorek ◽  
André Aichert ◽  
Pascal Fallavollita ◽  
Oliver Kutter ◽  
Ahmad Ahmadi ◽  
...  

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