Heliophysics Events Knowledgebase Coverage Registry (HCR)
Observation Details
Overview Where Groups: Mode, FOV, # spectra in map Data Links
2008-10-14 12:49:06-13:21:28
HOP 88 Microflares
Physical mechanisms driving solar microflares and network dynamic fibrils; relevance for coronal heating and mass supply
x,y:-106",356"
Max FOV:162"x162"
Target:Active Region
Nearby Events
6302A Continuum Intensity162"x162"511 spectra
6302A Longitudinal Flux Density162"x162"511 spectra
6302A Transverse Flux Density162"x162"511 spectra
6302A Velocity 6301.5A162"x162"511 spectra
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Level 2 Summary
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Level 2 Monthly
SP Cubes 8 MB
SOTSP: HOP 88 Microflares
2008-10-14T12:49:06 to 2008-10-14T13:21:28
Science Goal: Physical mechanisms driving solar microflares and network dynamic fibrils; relevance for coronal heating and mass supply
Program: Fast map 164x164", Q65, 1 side
Target: Active Region
xcen=-106 ycen=356
Instrument: SOTSP
HOP/JOP: 88
Description: - FOV: 55"" x 111"" (512 x 1024 pxs, binning: 2 x 2 pxs) - spectral channels: sequentially in time BFI: G-band, Ca II H - cadence: 32s per filtergram (64s per sequence of 2 selected channels) - total run duration: 4.0 hours (08:00-12:00 UT) - minimum 5.5 hours (07:00-13:30 UT) - optimum

- FOV: 55" x 111" (512 x 1024 pxs, binning: 2 x 2 pxs) - spectral channels: sequentially in time BFI: G-band, Ca II H - cadence: 32s per filtergram (64s per sequence of 2 selected channels) - total run duration: 4.0 hours (08:00-12:00 UT) - minimum 5.5 hours (07:00-13:30 UT) - optimum

Annotations:
Hits: 43
Chief Observer
Frank
Related Links
Cites: HOP 88 Microflares     
Timeline: gif use
See also
Datasets
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wavelength: 6302A Continuum Intensity cadence: 0 min fov: 162,162 images: 511 JavaScript Landing Page
wavelength: 6302A Velocity 6301.5A cadence: 0 min fov: 162,162 images: 511 JavaScript Landing Page
wavelength: 6302A Transverse Flux Density cadence: 0 min fov: 162,162 images: 511 JavaScript Landing Page
wavelength: 6302A Longitudinal Flux Density cadence: 0 min fov: 162,162 images: 511 JavaScript Landing Page
Time Series (SP Datacubes)
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