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[{ALLOW edit EISMainUsers}]
[{ALLOW view Anonymous}]
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For the present worksheets we will analyze a data-set taken on 2006 December 9 at 11:30. Worksheet 1 described how to download this file. If it's still in your working directory, then do:
For the present worksheets we will analyze a data-set taken on 2006 December 9 at 11:30. After the file has been downloaded (Worksheet 1), we set
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If you defined the $HINODE_DATA directory and moved the file there, then you can do:
(if you have downloaded the file to a directory different to the current working directory you will need to add the full file path). The standard call to eis_prep is:
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{{{
IDL> filename=eis_find_file('9-dec-2006 11:30')
}}}
The standard call to eis_prep is:
{{{
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{{{
eis_l1_20061209_113031.fits
eis_l1_20061209_113031.fits\\
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}}}
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TIP: it is a good idea to compress these files with gzip.
TIP: it is a good idea to compress these files with gzip and move them to a directory called /level1.
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(If you defined the $HINODE_DATA environment variable in Worksheet 1, then use the eis_ingest.pro routine to transfer the files into your data directory.)
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Full details of the various keyword inputs to eis_prep are given in [EIS Software Note #1|ftp://sohoftp.nascom.nasa.gov/solarsoft/hinode/eis/doc/eis_notes/01_EIS_PREP/eis_swnote_01.pdf], where detailed descriptions of the various steps performed by eis_prep are given.
Full details of the various keyword inputs to eis_prep are given in EIS Note #1, where detailed descriptions of the various steps performed by eis_prep are given.
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One feature of eis_prep is that bad pixels in the data are flagged as 'missing'. These bad pixels can be due to cosmic ray hits, saturated pixels, dust particles on the detector, hot pixels and warm pixels. The latter are by far the most numerous, and are described in more detail in [EIS Software Note #6|ftp://sohoftp.nascom.nasa.gov/solarsoft/hinode/eis/doc/eis_notes/06_HOT_WARM_PIXELS/eis_swnote_06.pdf]. Bad pixels are flagged only in the error file and are assigned a value of -100. The bad pixels in the level-1 file are replaced by a value interpolated from neighbouring pixels. More details about the effect of missing data on EIS data analysis and interpolation methods are given in [EIS Software Note #13|ftp://sohoftp.nascom.nasa.gov/solarsoft/hinode/eis/doc/eis_notes/13_INTERPOLATION/eis_swnote_13.pdf].
One featue of eis_prep is that bad pixels in the data are flagged as 'missing'. These bad pixels can be due to cosmic ray hits, saturated pixels, dust particles on the detector, hot pixels and warm pixels. The latter are by far the most numerous, and described in more detail in EIS Note #6. Bad pixels are flagged only in the error file and are assigned a value of -100. The bad pixels in the level-1 file are replaced by a value interpolated from neighbouring pixels. More details about the effect of missing data on EIS data analysis and interpolation methods are given in EIS Note #13.
This page (revision-13) was last changed on 07-Dec-2016 14:14 by Peter YoungTop