ACT (DR6.02) Pspipe Spectra and Cov

This folder contains the power spectra and covariance matrices for the DR6 data. binning_50 corresponds to the binning used in the likelihood, they are the main power spectrum to consider and the one we report null test for. binning_20 corresponds to the binning used for plotting in the paper. We also provide some extra power spectra file used in the paper, EB and TB with optimal weighting, and BB with a wider binning.

The released spectra have been corrected for leakage, corrected for aberration, and calibrated using the best-fit calibration and polarization efficiency parameters.

Script for creating the data release

The power spectra and covariance matrices were generated after running the full pipeline. The script used to produce the data release can be found in PSpipe v1.0: https://github.com/simonsobs/PSpipe/blob/master/project/ACT_DR6/python/postlikelihood/spectra_release.py

File structure

We provide:

- array-band power spectra, which are the primary power spectra used in the likelihood computation
- frequency power spectra, which correspond to the coaddition of the different auto- and cross-array-band power spectra observing in nearly the same frequency band
- combined power spectra, which correspond to the coaddition of all ACT DR6 data

File format

The file format differs depending on the type of spectrum:

- array-band format is: bin_center, Dl(data), sigma(Dl(data)), Dl(best_fit), Dl(best_fit_foreground)
- frequency format is: bin_center, Dl(data), sigma(Dl(data)), Dl(data_fg_sub)
- combined format is: bin_center, Dl(data_fg_sub), sigma(Dl(data))

Dl(data_fg_sub) indicates that, before combining the different auto- and cross-array-band power spectra, their best-fit foreground model was subtracted. For each power spectrum, we provide an associated nbins × nbins covariance matrix.

The file dataset_trace.pkl serves to keep track of how files have been combined, for example the command

Import pickle
with open('dataset_trace.pkl', 'rb') as f:
   trace = pickle.load(f)
   print(trace["EE", "90x90"])
Will print which auto and cross array-band x-spectrum was used for creating the 90 GHz x 90 GHZ ACT DR6 EE power spectrum.

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