Difference: ResearchJournalForAdamOppenheimer (19 vs. 20)

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Research Journal: Adam Oppenheimer


Friday, July 17th

  • Implemented a code that is able to optimize an exponential profile to a given time series data to model a flare
    • The exponential profile used has 4 degrees of freedom: F0, t0, Tr, and Td. These are determined through the scipy.stats.curve_fit function, which yields these coefficients
    • It was tested on some simulated flares and on an actual flare zoned in on from 3C 279
  • Wrote a code that is able to determine the quiescent flux level for a given time signal
    • This code is a modified version of the pseudocode present in Meyer et al. (2019) on how to determine the quiescent flux leve
    • There are 2 major alterations to the code: the first alteration is that the array of test QFs that is supposed to go from the min value to the mean value was truncated at a certain point to ensure that there are enough data points in the time signal to create an even distribution. This was done by hand today but will be automated in the future
    • The 2nd alteration is that instead of using the ratio of posterior probabilities as indicated in Wolpert (1996) as done in the paper, a short term solution was used which is determining how centered the peak of the CDF is for these curves. This is done due to an inability to extend the method done in Wolpert (1996) to the signals used due to a lack of all of the necessary parameters to use that method. This will be investigated further in the future to determine the likely next step; this will probably be an implementation of chi squared or the Wolpert method


Thursday, July 16th

  • Modified, expanded, and finalized the txt file that was produced for the flare data of Ton 599
    • Added notes at the top including the many conversions required for the data, the original form of the data, and the wavelength bands that the data was collected in.
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