File:Gaussian beam w40mm lambda30mm.png
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Summary
| Description |
English: This is a plot of the instantaneous intensity of a Gaussian beam as a function of r and x.
Author: Eric Toombs Source: computer rendering via matplotlib This plot was created with Matplotlib. |
| Date | 25 July 2011 (original upload date) |
| Source | Transferred from en.wikipedia by Ronhjones |
| Author | Etoombs at en.wikipedia |
Licensing
Etoombs at en.wikipedia, the copyright holder of this work, hereby publishes it under the following license:
This file is licensed under the Creative Commons Attribution 3.0 Unported license.
Attribution:
- You are free:
- to share – to copy, distribute and transmit the work
- to remix – to adapt the work
- Under the following conditions:
- attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
Original upload log
The original description page was here. All following user names refer to en.wikipedia.
Upload date | User | Bytes | Dimensions | Comment
- 2011-07-25 07:20 (UTC) | Etoombs | 469446 (bytes) | 1450×786 | Sign error. Just compare the two images yourself to see what I changed.
- 2011-07-25 06:52 (UTC) | Etoombs | 437214 (bytes) | 1420×662 | This is a plot of the instantaneous intensity of a Gaussian beam as a function of r and z. Author: Eric Toombs Source: computer rendering via matplotlib
File history
Click on a date/time to view the file as it appeared at that time.
| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 23:43, 13 January 2012 | | 1,450 × 786 (458 KB) | Ronhjones | (Original text) : Sign error. Just compare the two images yourself to see what I changed. |
| 23:43, 13 January 2012 |  | 1,420 × 662 (427 KB) | Ronhjones | (Original text) : This is a plot of the instantaneous intensity of a Gaussian beam as a function of r and z. Author: Eric Toombs Source: computer rendering via matplotlib |
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