25-Sep-2007Hinode Intro to MSU SG1 3 high-performance telescopes EUV Imaging Spectrometer (EIS)...
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Transcript of 25-Sep-2007Hinode Intro to MSU SG1 3 high-performance telescopes EUV Imaging Spectrometer (EIS)...
![Page 1: 25-Sep-2007Hinode Intro to MSU SG1 3 high-performance telescopes EUV Imaging Spectrometer (EIS) Diagnostics of the coronal thermal properties and dynamics.](https://reader036.fdocuments.in/reader036/viewer/2022062715/56649d7e5503460f94a60dc5/html5/thumbnails/1.jpg)
25-Sep-2007 Hinode Intro to MSU SG 1
3 high-performance telescopes
EUV Imaging Spectrometer (EIS) Diagnostics of the coronal thermal
properties and dynamics
Solar Optical Telescope (SOT)High resolution observations of magnetic and velocity fields at the photosphere
X-Ray Telescope (XRT)High resolution imaging of the coronaCoordinated observations among three telescopes
![Page 2: 25-Sep-2007Hinode Intro to MSU SG1 3 high-performance telescopes EUV Imaging Spectrometer (EIS) Diagnostics of the coronal thermal properties and dynamics.](https://reader036.fdocuments.in/reader036/viewer/2022062715/56649d7e5503460f94a60dc5/html5/thumbnails/2.jpg)
25-Sep-2007 Hinode Intro to MSU SG 2
Hinode Fields of View
320arcsec
160arcsec
SOT
XRT
360arcsec
512arcsec
EIS
800arcsec
2000arcsec
Maximum size of FOV is shown here.
![Page 3: 25-Sep-2007Hinode Intro to MSU SG1 3 high-performance telescopes EUV Imaging Spectrometer (EIS) Diagnostics of the coronal thermal properties and dynamics.](https://reader036.fdocuments.in/reader036/viewer/2022062715/56649d7e5503460f94a60dc5/html5/thumbnails/3.jpg)
25-Sep-2007 Hinode Intro to MSU SG 3
Optical PathX-Ray Mirror Shutter & filter
wheels
Visible Light Optic
Focus Mechanism
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25-Sep-2007 Hinode Intro to MSU SG 4
Focal Plane Filter Wheels
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25-Sep-2007 Hinode Intro to MSU SG 5
Observational Constraints
Three basic types of XRT observations, which must be optimized subject to our data rate (~ 0.5 Gbyte/day)
• Thermal structure & energetics– 3-7 filters used per target region– May limit cadence or FOV to stay within the
data rate.• Dynamics
– Fast cadence with 1 or 2 filters– May limit context images or FOV to stay
within the data rate• Morphology / Topology
– Large FOV, combine long and short exposures– May limit number of filters, cadence or FOV
![Page 6: 25-Sep-2007Hinode Intro to MSU SG1 3 high-performance telescopes EUV Imaging Spectrometer (EIS) Diagnostics of the coronal thermal properties and dynamics.](https://reader036.fdocuments.in/reader036/viewer/2022062715/56649d7e5503460f94a60dc5/html5/thumbnails/6.jpg)
25-Sep-2007 Hinode Intro to MSU SG 6
What kind of images will you find?
• Full-Sun synoptic images, 2-4 times per day, several filters
• Partial-Sun images, throughout the day• Field of view 384x384, 512x512, and some
1024x384• Active regions, coronal holes, quiet sun,
variety of targets• Sometimes a single filter at high cadence• Sometimes many filters for temperatures,
DEMs• And with occasional full-Sun images for
context
![Page 7: 25-Sep-2007Hinode Intro to MSU SG1 3 high-performance telescopes EUV Imaging Spectrometer (EIS) Diagnostics of the coronal thermal properties and dynamics.](https://reader036.fdocuments.in/reader036/viewer/2022062715/56649d7e5503460f94a60dc5/html5/thumbnails/7.jpg)
25-Sep-2007 Hinode Intro to MSU SG 7
What format? What level of preparation?
• FITS format, with time/date/filter/pointing info in the header
• Level-0 data have complete header info, but no preparation• No corrections for dark current, exposure
time, jitter: They’re Raw.• Preparation software are available in
SolarSoft• Typically available a few days after the
image was made.
![Page 8: 25-Sep-2007Hinode Intro to MSU SG1 3 high-performance telescopes EUV Imaging Spectrometer (EIS) Diagnostics of the coronal thermal properties and dynamics.](https://reader036.fdocuments.in/reader036/viewer/2022062715/56649d7e5503460f94a60dc5/html5/thumbnails/8.jpg)
25-Sep-2007 Hinode Intro to MSU SG 8
Finding the Data: VSO
• VSO• http://sdac.virtualsolar.org/cgi-bin/search• Check ‘Instrument/Source/Provider’ and
select ‘Generate VSO Search Form’• Select date & time interval• Check ‘SAO’ (for now) and ‘XRT’ and hit
‘Search’• Use the checkboxes to choose the data you
want• The “All above” or “All below” options
may be useful.
![Page 9: 25-Sep-2007Hinode Intro to MSU SG1 3 high-performance telescopes EUV Imaging Spectrometer (EIS) Diagnostics of the coronal thermal properties and dynamics.](https://reader036.fdocuments.in/reader036/viewer/2022062715/56649d7e5503460f94a60dc5/html5/thumbnails/9.jpg)
25-Sep-2007 Hinode Intro to MSU SG 9
Finding the Data: SOT website
• SOT website at LMSAL• http://sot.lmsal.com/sot-data• Choose ‘Planned’ for a link to what’s planned in
the next day or so. Descriptive, but the data aren’t there.
• Choose ‘Recent’ for a link to recently acquired data.
• Select ‘XRT’• Click on an image for a link to more data from
that set.• These are automatically generated, so the results
of this method are hard to predict. I haven’t had much luck with them, but I’m impatient.
![Page 10: 25-Sep-2007Hinode Intro to MSU SG1 3 high-performance telescopes EUV Imaging Spectrometer (EIS) Diagnostics of the coronal thermal properties and dynamics.](https://reader036.fdocuments.in/reader036/viewer/2022062715/56649d7e5503460f94a60dc5/html5/thumbnails/10.jpg)
25-Sep-2007 Hinode Intro to MSU SG 10
Finding the Data: xrt_cat• xrt_cat in SolarSoft• Take advantage of MSU’s data archive• On jefferson:
IDL> t0 = '2007-03-26T17:00:00' IDL> t1 = '2007-03-26T18:10:00'
IDL> xrt_cat, t0, t1, catx, ofiles
IDL> help, catx CATX STRUCT = -> <Anonymous> Array[126]IDL> help, ofiles OFILES STRING = Array[126]IDL> print, ofiles(0:1)/disk/data/HINODE/xrt/level0/2007/03/26//H1700/XRT20070326_170036.9.fits/disk/data/HINODE/xrt/level0/2007/03/26//H1700/XRT20070326_170050.1.fits
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25-Sep-2007 Hinode Intro to MSU SG 11
Reading the Data on jefferson• Two choices
IDL> mreadfits, ofiles, index, data
IDL> read_xrt, ofiles, index, data, /force
IDL> ss = where(catx.naxis1 eq 512 and catx.naxis2 eq 512)IDL> read_xrt, ofiles(ss), index, data
• Example of selecting only images of a certain size
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25-Sep-2007 Hinode Intro to MSU SG 12
Prepping the Data on jefferson• An example
IDL> ss = where(catx.naxis1 eq 512 and catx.naxis2 eq 512)
IDL> read_xrt, ofiles(ss), index, data IDL> xrt_prep, index, data index_out, data_out, /norm, /float
[or]
IDL> xrt_prep, ofiles, ss, index_out, data_out, /norm, /float
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25-Sep-2007 Hinode Intro to MSU SG 13
Advanced Topics• Removing spacecraft jitter
• Removing CCD contamination spots
IDL> xrt_prep, index_in, data_in, index_prep, data_prep, /norm, /floatIDL> ssw_path, '/ssw/hinode/xrt/idl/util/jitter'
IDL> xrt_jitter, index_prep, jitter_offsetIDL> data_out = image_translate(data_prep, jitter_offset, /interp)
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25-Sep-2007 Hinode Intro to MSU SG 14
End Presentation