1. 25-Sep-2007Hinode Intro to MSU SG1 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 corona Coordinated observations among three telescopes

2. 25-Sep-2007Hinode Intro to MSU SG2 Hinode Fields of View 320arcsec 160arcsec SOT XRT 360arcsec 512arcsec EIS 800arcsec 2000arcsec Maximum size of FOV is shown here.

3. 25-Sep-2007Hinode Intro to MSU SG3 Optical Path X-Ray Mirror Shutter & filter wheels Visible Light Optic Focus Mechanism

4. 25-Sep-2007Hinode Intro to MSU SG4 Focal Plane Filter Wheels

5. 25-Sep-2007Hinode Intro to MSU SG5 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

6. 25-Sep-2007Hinode Intro to MSU SG6 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

7. 25-Sep-2007Hinode Intro to MSU SG7 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.

8. 25-Sep-2007Hinode Intro to MSU SG8 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.

9. 25-Sep-2007Hinode Intro to MSU SG9 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.

10. 25-Sep-2007Hinode Intro to MSU SG10 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 = -> 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

11. 25-Sep-2007Hinode Intro to MSU SG11 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

12. 25-Sep-2007Hinode Intro to MSU SG12 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

13. 25-Sep-2007Hinode Intro to MSU SG13 Advanced Topics Removing spacecraft jitter Removing CCD contamination spots IDL> xrt_prep, index_in, data_in, index_prep, data_prep, /norm, /float IDL> ssw_path, '/ssw/hinode/xrt/idl/util/jitter' IDL> xrt_jitter, index_prep, jitter_offset IDL> data_out = image_translate(data_prep, jitter_offset, /interp)

14. 25-Sep-2007Hinode Intro to MSU SG14 End Presentation