moved file
changed filenames for reference design curves
renamed stuff
added several more optoins as pipeline.py gained functionality
significant additions to the pipeline, including preliminary injection and noise options, model selection options, etc
added a method that should project and plot signals onto the detector network
significant work on dominant polarization frame (dpf) rotations and conversions of A,B to the dpf. this has been somewhat tested, although the thorough tests are being written in methods_tests.py
added a bunch of tests for dpf manipulations. These are not bullet proof, and there appears to be a problem with log_posterior_elements() when working in the dominant polarization frame
futzing, including lowering the minimum snr bound
added functionality to compute the exact decomposition needed given freq_truth and num_pol_eff. Also added a get_amplitudes() method for hPrior, which takes optional arguments in case we want to recompute amplitudes. This is used in the extension hPrior_pareto(hPrior), which is a child class of hPrior that's built specifically for pareto distributions
added functionality to allow user to specify which theta,phi they want to set rather than always relying on healpix decompositions. However, full-sky healpix is still the default. Also added functions to rotate to and from the dominant polarization frame. This has been reasonably well tested, although there is evidence that it still doesn't work perfectly. Also added log_posterior_elements_dpf, which assumes dominant polarization frame and allows the user to project onto polarization subspaces in a natural way. This has NOT been tested at all. IMPORTANTLY, corrected a bug in which we didn't account for both sides of the frequency integral, and essentially missed a factor of 2 in our likelihoods. This dramatically improves detection, model_selection and localizations. However, the sky-coverage (pp) plots are still very off diagonal and we need to consider how to best implement the prior to get a diagonal pp plot