Fast interferometric data from the Very Large Array for Fast Radio Burst FRB 121102

Data products to support reproduction of the first interferometric localization of Fast Radio Burst 121102. First publication available at http://dx.doi.org/10.1038/nature20797 and data analysis recipes are available at http://github.com/caseyjlaw/FRB121102. The principle data products are nine tar files of fast-sampled interferometric data from the Very Large Array (download separately to avoid dataverse file size limit). Each observation segment includes 4 seconds (800 integrations) of visibilities centered on a radio burst from FRB 121102. Data is in science data model (SDM) format, which consists of a directory with metadata in XML files and binary data in the ASDMBinary subdirectory. Binary data were recorded with an integration time of 5 ms, frequencies at S-band (2.5-3.5 GHz; 256 channels), and dual-circular polarizations. Each file is identified by a unique name of the observation, plus the observation start time in MJD. Each visibility data set has an associated calibration file (telcal format; ending in \".GN\") that can be parsed to apply gain calibration. The Python package rtpipe (https://github.com/caseyjlaw/rtpipe) can perform all calibration and analysis of these data. This library is supported by sdmpy (https://github.com/demorest/sdmpy), a Python library to read SDM files, and pwkit (https://github.com/pkgw/pwkit), a Python interface to the CASA data analysis package. See also http://realfast.io for information on the project behind the data acquisition system and analysis software.