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UVIS Calibration Update
Greg Holsclaw Bill McClintock June 28, 2010
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Outline Performance update Flat-Field modifiers
Recent calibration observations An alternative approach to sensitivity updates Cassini SPICE kernel finder PDS updates Calibration paper topics
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Performance update Total signal vs spatial position for the last three Spica calibration scans
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Flat-field Modifiers At the last team meeting…
It was shown that there are significant declines in sensitivity at localized regions across the detector (the starburn, long-wave end of the clear aperture occ-slit in the FUV) It was decided that a corrector be created based on each UVIS stellar observation and made available to the team in a timely fashion Laura has made these flat-field modifiers available on the team website at: The use of the correctors in the cube generator calibration pipeline has been implemented
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Flat-field Modifiers These correctors provide adjustments for changes in the relative sensitivity in each column with respect to the average of several “reference” rows which are located in the region obscured by the occultation slit lens holder Corrector values are linearly interpolated for observations which occur between two calibrations. If an observation occurs after the last calibration, the last corrector is used
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Date: 2009-315 Spatial average
Loss-of sensitivity around Lyman-alpha looks like the FUV occultation slit. Spatial average Spectral average Reference rows starburn undercorrected Lyman-alpha
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Recent Observations There have been three calibrations since the last meeting: FUV2010_037_08_01_45_UVIS_126IC_ALPVIR001_PRIME FUV2010_088_18_22_56_UVIS_129IC_ALPVIR001_PRIME FUV2010_131_01_36_16_UVIS_131IC_ALPVIR001_PRIME The first two scans were complete. For the second observation, a flat-field modifier (for both EUV and FUV channels) was produced and placed on the website in a short time. The third observation exhibits some missing data in the middle of the slew. This complicates the automated processing, and I have not yet found a good solution to deal with this.
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An alternative approach to sensitivity updates
The FUV detector experienced a significant increase in sensitivity (>3x at 185 nm) at long wavelengths early in the mission This change in sensitivity as a function of wavelength and time was addressed by fitting an exponential function to the fractional change over time at each wavelength (in 21 pixel bins) Perhaps a better approach: Establish a reference spectrum of Spica based on SOLSTICE measurements (>130 nm) and early spectra of Spica from UVIS (<130nm) Similar to the approach used for the flat-field modifiers, linearly interpolate the change in sensitivity between calibrations Facilitates quick updates to the absolute response of the instrument
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Absolute spectra of Spica over time
Ratio of UVIS to SOLSTICE SOLSTICE Overall sensitivity decline The time-varying sensitivity is overestimating the adjustment for the most recent observations
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SPICE Kernel Finder - Intro
Kris Larsen had provided a convenient online tool to identify SPICE kernels for a given date This web-based tool allowed a single date to be input, and a list of kernel files were provided as links to their location at the NAIF site A more versatile tool would allow the required and most current kernels not just to be identified, but also downloaded automatically, organized, and a text file listing created to facilitate their use with cube generator This approach abstracts the user from the details of SPICE kernel naming conventions and time-consuming organization
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SPICE Kernel Finder - Overview
Objective: Using IDL, identify and download SPICE kernels relevant for a specific date Input: Year, day-of-year Action: identify and download required kernels Output: A text file listing the downloaded kernels which can then be used by cube generator with the “Load kernel batch” option
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SPICE Kernel Finder - Function
Cassini SPICE kernel repository: ftp://naif.jpl.nasa.gov/pub/naif/CASSINI/kernels/ A list of all files is obtained for each kernel type (ck, fk, ik, lsk, pck, sclk, spk) For kernels which are updated incrementally (fk, ik, lsk, pck, sclk) the latest version is selected For kernels which are relevant to a specific date range (ck, spk) the filenames are parsed and the appropriate file is selected based on the date Multiple c-kernels can satisfy a specific date. Therefore, the latest version is selected in this order of preference: c-smithed, reconstructed, predict
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SPICE Kernel Finder - Example
cassini_spice_kernel_list, 2005, 331, fkernel, local_kernel_path = 'C:\Greg_Holsclaw\Cassini\UVIS\SPICE\' Local_kernel_path specifies where kernels will be downloaded and stored locally (contains subdirectories lsk, sclk, pck, spk, ck, ik, fk) fkernel is an output string specifying the ASCII file containing the metakernel list for use with CG: ‘C:\Greg_Holsclaw\Cassini\UVIS\SPICE\2005_331.mk’ Contents of fkernel: lsk\naif0009.tls sclk\cas00144.tsc spk\de403s.bsp spk\060111R_SCPSE_05320_05348.bsp fk\cas_rocks_v18.tf fk\cas_status_v04.tf fk\cas_v40.tf ck\05305_05334ca_ISS.bc pck\cpck20May2010.tpc ik\cas_uvis_v06.ti
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SPICE Kernel Finder - Features
year and doy can be vectors Any Cassini instrument (or multiple instruments) can be specified using a keyword (instrument=‘uvis’) If all identified kernels exist locally, no internet connection is required (the default) A refresh of the NAIF kernel lists can be forced using a keyword (newlist=1) All ftp functions are accomplished using native IDL routines (version 6.3 and above), no external code or libraries are required
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PDS updates The team-endorsed approach to calibrating the data forces evil pixels to be effectively deleted from consideration (replaced with NaNs) For some heavily binned UVIS observations, the entire calibration matrix has a value of NaN To address this issue, the unbinned calibration matrix is now included with the PDS data Potential inclusion of the flat-field modifiers with the PDS calibration matrix
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Too many calibration topics for one paper?
Radiometric calibration At a minimum, the lab measurements of H2 emission Instrument characterization and time dependent sensitivity flat field, PSF, scattered light, backgrounds, polarization, linearity, etc Spica absolute flux 91.2 – 190 nm (extension of SOLSTICE to EUV using H2 emissions) Comparison with other investigators Spica light curve in the UV Data analysis approach forward model versus inverse approach, I/F derivation, deconvolution, etc Atlas of all stellar spectral irradiance measurements
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