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- All Subjects: Astronomy
- All Subjects: Stars
- Creators: Young, Patrick
- Creators: Butler, Nathaniel
- Creators: Jansen, Rolf
- Status: Published
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The Star Planet Activity Research CubeSat (SPARCS) will be a 6U CubeSat devoted to photometric monitoring of M dwarfs in the far-ultraviolet (FUV) and near-ultraviolet (NUV) (160 and 280 nm respectively), measuring the time-dependent spectral slope, intensity and evolution of M dwarf stellar UV radiation. The delta-doped detectors baselined for SPARCS have demonstrated more than five times the in-band quantum efficiency of the detectors of GALEX. Given that red:UV photon emission from cool, low-mass stars can be million:one, UV observation of thes stars are susceptible to red light contamination. In addition to the high efficiency delta-doped detectors, SPARCS will include red-rejection filters to help minimize red leak. Even so, careful red-rejection and photometric calibration is needed. As was done for GALEX, white dwarfs are used for photometric calibration in the UV. We find that the use of white dwarfs to calibrate the observations of red stars leads to significant errors in the reported flux, due to the differences in white dwarf and red dwarf spectra. Here we discuss the planned SPARCS calibration model and the color correction, and demonstrate the importance of this correction when recording UV measurements of M stars taken by SPARCS.
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First, performance assessment tests were run in order to prevent data backlog and optimize the way in which DDOTI reduces the data it collects. The results of these tests yielded a general framework regarding how DDOTI should reduce collected images depending on how many computer cores can be used. These tests also indicated that DDOTI’s alignment portion of the reduction code (ddoti_align) should be completed after every image is collected, while the other parts of the reduction software (ddoti_stack, ddoti_phot, ddoti_summary) should be run after every four images are collected.
Second, reductions created by DDOTI were inspected to determine if the telescope’s reduction software was working properly. Reductions were observed and indicated that two reduction related problems needed to be corrected by the research team before DDOTI would be ready for future scientific work. The first identified problem was that DDOTI’s reduction code was not properly correcting optical distortions for one of DDOTI’s two functional cameras. The second problem was that the reduction code was not correcting for atmospheric refraction. As a result, below zenith distances of approximately sixty degrees, ddoti_align was unable to align detected sources to their catalogue equivalents due to their distorted positions.
Third, code manuals were produced in both English and Spanish so that English and Spanish-speaking researchers working on DDOTI could understand how its reductions software reduces images. Functional flow chart diagrams were also produced only in English to graphically describe the flow of information through DDOTI’s reduction software.
These three contributions helped DDOTI to more accurately be able to observe GRBs. DDOTI’s improved reduction abilities were confirmed by a produced report about GRB 190129B after a 10-hour observation, and by the fact that DDOTI could accurately observed asteroid fields. In addition, code manuals and functional flow chart diagrams were all produced by the end of this project.
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