Data Processing Pipeline For Tianlai Experiment

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Ada Coda
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tlpipe: Data processing pipeline for the Tianlai experiment

Post by Ada Coda » Tue Nov 17, 2020 12:26 pm

tlpipe: Data processing pipeline for the Tianlai experiment

Abstract: tlpipe processes the drift scan survey data from the Tianlai experiment; the Tainlai project is a 21cm intensity mapping experiment aimed at detecting dark energy by measuring the baryon acoustic oscillation (BAO) features in the large scale structure power spectrum. tlpipe performs offline data processing tasks such as radio frequency interference (RFI) flagging, array calibration, binning, and map-making, in addition to other tasks. It includes utility functions needed for the data analysis, such as data selection, transformation, visualization and others. tlpipe implements a number of new algorithms are implemented, including the eigenvector decomposition method for array calibration and the Tikhnov regularization for m-mode analysis.

Credit: Zuo, Shifan

Site: https://github.com/TianlaiProject/tlpipe
https://ui.adsabs.harvard.edu/abs/2020arXiv201110757Z

Bibcode: 2020ascl.soft11006Z

Preferred citation method: https://ui.adsabs.harvard.edu/abs/2020ascl.soft11006Z

ID: ascl:2011.006
Last edited by Ada Coda on Sun Nov 29, 2020 12:36 am, edited 1 time in total.
Reason: Updated code entry.

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