This non-oscillatory portion of the data was fit and subtracted off. The data were Fourier transformed using a program written by Dr. M. Shayegan. This algorithm uses a Hamming window to eliminate aliasing due to the truncation of the field sweeps at 23 T. Experience with this program showed that nonetheless peaks in Fourier intensity at frequencies less than about 30 T were very susceptible to the details of the background fit. For this reason, it is thought that the lowest-frequency peaks observed in the Fourier transforms of Ref. [79] (labeled alpha there) are probably spurious ones, due to suboptimal background fits. Removal of these alpha frequencies from Table II in Ref. [79] improves the agreement between the Dresselhaus-Leung model[65] and the data. A similar comment could be made with respect to Table I in Ref. [245]. Fortunately, the quantitative data analysis in Ref. [79,245] relies on the highest SdH frequency and not the lowest ones, and so is unaffected by the spurious low frequencies. In the analysis reported here, the background was carefully fit and subtracted before the data was fed to the Fourier transform program.
Figure: The transverse magnetoresistance of a C4CsBi0.6
(stage 1, alpha-phase) sample at 1.2 K with a current of 1 mA. The
current is applied in the graphite planes; the magnetic field is along the
graphite c-axis.