Poster abstract details

We report on ongoing work to reduce low-frequency noise in BiSON data in order to detect low-order p modes and possibly even g modes. Here we simulate artificial data to provide a calibration that reduces the systematic low-frequency noise created by atmospheric extinction.
The BiSON network consists of 6 stations set over a range of longitudes. As a result, contemporaneous observation from as many as four stations is regularly achieved. The resonant-scattering spectrometers, used in all stations, reference the solar potassium Fraunhofer line to laboratory atomic transitions to produce calibrated velocities. A station may have up to 32 channels of raw data, each one sensing a different section of the solar line. The BiSON network may therefore be considered as a single instrument with over one hundred individual channels.
The latest incarnation of the “BiSON simulation tool” includes the effects of limb darkening, differential atmospheric extinction and Doppler imaging in an optically thick vapour cell. We create an artificial data set to explore the relationship between the data channels and investigate the calibration of individual channels using the information provided by all available channels to reduce noise in the key areas of the frequency power spectrum.