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cosmoSLICS covariance matrix #10

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@lbaumo

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  1. create text file of all file names and parse filenames similar to last step
  2. survey reconstruction: we do this once per realization (with seeds and LOS i think this comes to 124 realizations- double check). draw each tile randomly from a LOS (draw an integer from a vector), then use this to query the correct file path
  3. create shape noise realizations- do we need to do this? compare to virginia
  4. run mass maps - peak counts to create histograms
  5. compute covariance matrix
  6. take mean over realizations- calculate covariance matrix 1240x (once for each shape noise realization and once per each survey realization) THEN average

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