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

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.

25-Sep-2007 Hinode Intro to MSU SG 3

Optical PathX-Ray Mirror Shutter & filter

wheels

Visible Light Optic

Focus Mechanism

25-Sep-2007 Hinode Intro to MSU SG 4

Focal Plane Filter Wheels

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

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

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.

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.

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.

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

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

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

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)

25-Sep-2007 Hinode Intro to MSU SG 14

End Presentation