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Jump to navigationJump to search- 17:13, 18 October 2019 diff hist +2,714 ADMIT Products and Usage
- 17:05, 18 October 2019 diff hist +3,216 N ADMIT Products and Usage Created page with "== Intro/What is ADMIT? == The ALMA Data-Mining Toolkit (ADMIT) is an execution environment and set of tools for analyzing image data cubes. ADMIT is based on python and desi..."
- 16:52, 18 October 2019 diff hist +155 ALMAguides
- 15:16, 20 November 2018 diff hist +6 Automasking Guide
- 14:30, 20 November 2018 diff hist +4,175 Automasking Guide
- 16:40, 23 August 2018 diff hist +41 Automasking Guide →Base Parameters
- 16:39, 23 August 2018 diff hist -198 Automasking Guide →Make a Dirty Cube
- 16:37, 23 August 2018 diff hist -5 Automasking Guide →Make a Dirty Cube
- 13:42, 10 August 2018 diff hist +80 Automasking Guide
- 13:35, 10 August 2018 diff hist +4,419 Automasking Guide
- 15:11, 14 May 2018 diff hist 0 Automasking Guide →Growing the mask into low signal-to-noise regions
- 15:11, 14 May 2018 diff hist +3 Automasking Guide →Increasing the Pruning
- 15:10, 14 May 2018 diff hist +1 Automasking Guide →Turning off pruning
- 15:09, 14 May 2018 diff hist 0 Automasking Guide →Turning off pruning
- 15:09, 14 May 2018 diff hist 0 Automasking Guide →Turning Down sidelobethreshold
- 15:08, 14 May 2018 diff hist +6 Automasking Guide →Turning Down noisethreshold
- 15:01, 14 May 2018 diff hist +335 Automasking Guide →Base Parameters
- 14:58, 14 May 2018 diff hist +228 N File:Base parameters.png The black contours mark the final mask created using the base, 12m short baseline automasking parameters. On the left is the image and on the right is the residual of channel 6 of 15 of the cube created with the base parameters. current
- 14:55, 14 May 2018 diff hist +6,257 Automasking Guide →Base Parameters
- 14:21, 14 May 2018 diff hist -2 Automasking Guide →Growing the mask into low signal-to-noise regions
