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. Author manuscript; available in PMC: 2024 Oct 23.
Published in final edited form as: Supercond Sci Technol. 2017;30(3):10.1088/1361-6668/30/3/033005. doi: 10.1088/1361-6668/30/3/033005

Table 3.

Limited datasets and the scaling parameters that can be determined from theme.

Types of datasets Parameters determined
Core parameters
C a Bc2(0,0) Tc(0) η s bc2(ε) p q
1 Ic(B,T,ε) (unified Tε apparatus)
2 Ic(B,T)) fixed ε (dedicated T rig)
3 Ic(B,ε) fixed T (dedicated ε rig) ()
4 Ic(T) fixed B,ε (dedicated T rig)
5 Ic(ε) fixed B,T (dedicated ε rig)
6 Ic(B) fixed T,ε (routine Ic testing) ()
7 Ic fixed B,T,ε (routine Ic testing)

Notes: Indicates parameters that can be accurately determined from the indicated dataset.

Blank: Indicates parameters that must be supplied, either with values from other datasets, or with default values (from section 5.5).

() Indicates there is often insufficient data at low magnetic fields and temperatures to determine p, in which case it must be assigned a default value. This is particularly the case for high-Jc conductors if data are available only at liquid helium temperatures where transport current heating effects usually prevent measurements at low enough fields to determine p (examples of the lack of sufficient low-field data are seen in the master pinning-force curves illustrated in Part 2, both in section 5 and in the master scaling curves in appendix A). Fortunately, tests show that the precise default values for p (and q) do not effectively change the RMS error (ΔRMSE=0.02%), as long as p and q are fixed in a reasonable range p=0.4 to 0.5, or q=1.5 to 2.5, and used with corresponding core parameter values.

a

Definition: CK(0,0).