2004
DOI: 10.1002/asna.200310203
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E3D, the Euro3D visualization tool II: Mosaics, VIMOS data and large IFUs of the future

Abstract: Abstract. In this paper, we describe the capabilities of E3D, the Euro3D visualization tool, to handle and display data created by large Integral Field Units (IFUs) and by mosaics consisting of multiple pointings. The reliability of the software has been tested with real data, originating from the PMAS instrument in mosaic mode and from the VIMOS instrument, which features the largest IFU currently available. The capabilities and limitations of the current software are examined in view of future large IFUs, wh… Show more

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Cited by 10 publications
(10 citation statements)
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“…We produced maps of the dynamics for the galaxies in our sample by using e3d , the Euro3D visualization tool (Sánchez, Becker & Kelz 2004a), and a code for the fitting and analysis of kinematics (e.g. Sánchez et al 2004b, 2005).…”
Section: Properties From Spatially Resolved Kinematicmentioning
confidence: 99%
“…We produced maps of the dynamics for the galaxies in our sample by using e3d , the Euro3D visualization tool (Sánchez, Becker & Kelz 2004a), and a code for the fitting and analysis of kinematics (e.g. Sánchez et al 2004b, 2005).…”
Section: Properties From Spatially Resolved Kinematicmentioning
confidence: 99%
“…Although initially written to reduce PMAS data, it was slightly modified to reduce data from other IFUs, such as VIMOS (e.g. Sánchez et al 2004a). The expected locations of the spectra were traced on a continuum-lamp exposure obtained before each target exposure.…”
Section: Observations and Data Reductionmentioning
confidence: 99%
“…A 3σ clipping algorithm was used to remove possible cosmic rays. The different PMAS pointings were mosaiced into a single frame, using the Euro3D data format, as described in Sánchez et al (2004a).…”
Section: Observations and Data Reductionmentioning
confidence: 99%
“…Different packages solve this problem by using a single data format for internal implementation and provide users with an importing functionality that converts existing commonly used data formats into the internal file format (e.g. Sanchez (2004); Sanchez et al (2004); Kissler-Patig et al (2004); Becciani et al (2010)). This may not be an efficient solution for large datasets due to storage and processing requirements.…”
Section: Challenges For Visualization Researchersmentioning
confidence: 99%