Radio frequency interference mitigation using deep convolutional neural networks

Author:

Akeret J.,Chang C.,Lucchi A.,Refregier A.

Publisher

Elsevier BV

Subject

Computer Science Applications,Astronomy and Astrophysics,Space and Planetary Science

Reference25 articles.

1. HIDE & SEEK: End-to-end packages to simulate and process radio survey data;Akeret;Astron. Comput.,2017

2. Paper-64 constraints on reionization: The 21 cm power spectrum at z=8.4;Ali;Astrophys. J.,2015

3. Radio frequency interference mitigation at the westerbork synthesis radio telescope: Algorithms, test observations, and system implementation;Baan;Astron. J.,2004

4. Canadian hydrogen intensity mapping experiment (chime) pathfinder;Bandura,2014

5. Battye, R., Brown, M., Browne, I., Davis, R., Dewdney, P., Dickinson, C., Heron, G., Maffei, B., Pourtsidou, A. and Wilkinson, P., 2012. Bingo: a single dish approach to 21 cm intensity mapping, arXiv preprint arXiv:1209.1041

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