Searching for codes credited to 'Tasse, C'
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[ascl:1303.022]
ionFR: Ionospheric Faraday rotation
Sotomayor-Beltran, C.;
Sobey, C.;
Hessels, J. W. T.;
de Bruyn, G.;
Noutsos, A.;
Alexov, A.;
Anderson, J.;
Asgekar, A.;
Avruch, I. M.;
Beck, R.;
Bell, M. E.;
Bell, M. R.;
Bentum, M. J.;
Bernardi, G.;
Best, P.;
Birzan, L.;
Bonafede, A.;
Breitling, F.;
Broderick, J.;
Brouw, W. N.;
Brueggen, M.;
Ciardi, B.;
de Gasperin, F.;
Dettmar, R.-J.;
van Duin, A.;
Duscha, S.;
Eisloeffel, J.;
Falcke, H.;
Fallows, R. A.;
Fender, R.;
Ferrari, C.;
Frieswijk, W.;
Garrett, M. A.;
Griessmeier, J.;
Grit, T.;
Gunst, A. W.;
Hassall, T. E.;
Heald, G.;
Hoeft, M.;
Horneffer, A.;
Iacobelli, M.;
Juette, E.;
Karastergiou, A.;
Keane, E.;
Kohler, J.;
Kramer, M.;
Kondratiev, V. I.;
Koopmans, L. V. E.;
Kuniyoshi, M.;
Kuper, G.;
van Leeuwen, J.;
Maat, P.;
Macario, G.;
Markoff, S.;
McKean, J. P.;
Mulcahy, D. D.;
Munk, H.;
Orru, E.;
Paas, H.;
Pandey-Pommier, M.;
Pilia, M.;
Pizzo, R.;
Polatidis, A. G.;
Reich, W.;
Roettgering, H.;
Serylak, M.;
Sluman, J.;
Stappers, B. W.;
Tagger, M.;
Tang, Y.;
Tasse, C.;
ter Veen, S.;
Vermeulen, R.;
van Weeren, R. J.;
Wijers, R. A. M. J.;
Wijnholds, S. J.;
Wise, M. W.;
Wucknitz, O.;
Yatawatta, S.;
Zarka, P.
ionFR calculates the amount of ionospheric Faraday rotation for a specific epoch, geographic location, and line-of-sight. The code uses a number of publicly available, GPS-derived total electron content maps and the most recent release of the International Geomagnetic Reference Field. ionFR can be used for the calibration of radio polarimetric observations; its accuracy had been demonstrated using LOFAR pulsar observations.
[ascl:1502.006]
Montblanc: GPU accelerated Radio Interferometer Measurement Equations in support of Bayesian Inference for Radio Observations
Montblanc, written in Python, is a GPU implementation of the Radio interferometer measurement equation (RIME) in support of the Bayesian inference for radio observations (BIRO) technique. The parameter space that BIRO explores results in tens of thousands of computationally expensive RIME evaluations before reduction to a single X2 value. The RIME is calculated over four dimensions, time, baseline, channel and source and the values in this 4D space can be independently calculated; therefore, the RIME is particularly amenable to a parallel implementation accelerated by Graphics Programming Units (GPUs). Montblanc is implemented for NVIDIA's CUDA architecture and outperforms MeqTrees (ascl:1209.010) and OSKAR.