Inversion can be tuned to take into account various constraints and type of data:
Symbol | Definition | Comments | units | |
N | data set size | |||
i | fault and slip data of index | 1 ≤ i ≤ N | ||
Ra(i) | actual rake for data i | undirectly known through Ro(i) and, eventually, Rr(i) | degrees | |
Ro(i) | observed rake for data i | what is actually measured | degrees | Ro(i) = Ra(i) if the measurement is perfect |
Rr(i) | half rake range for data i | 0 ≤ Rr(i) ≤ 180 | degrees | Ro(i)-Rr(i) ≤ Ra(i) ≤ Ro(i)+Rr(i) |
Rp(i) | predicted rake for data i | computed for a given stress tensor | degrees | |
E(i) | individual error, E(i), on the fault and slip data i | computed for a given stress tensor | degrees | 0 ≤ E(i) ≤ 180 |
F | misfit function on the data set | computed for a given stress tensor | degrees | 0 ≤ F ≤ 180 |
The fault plane error, E(i), is the error on the fault and slip data i computed for a given stress tensor and can be either of:
For focal mechanisms, E(i) can be computed from either the first or the second nodal plane, or taken as the average of these two calculations.
The misfit, F, of the stress tensor with respect to the global fault and slip data set can be either of:
If only a percentage of the full data set is required to be fit,
then letting P represents the corresponding number of retained data,
the individual fault plane errors are sorted in ascending order:
E(1) ≤ E(2) ≤ ... ≤ E(i) ≤ ... ≤ E(P) ≤ ... ≤ E(N)
and the misfit becomes:
These parameters are set within the subroutine sfsinv
@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ @ subroutine sfsinv @========================================== ------------------------------------------- INVERSION PARAMETERS ------------------------------------------- switch name of current set up 1 1st fault plane 1 rake difference 1 Average on % best ------------------------------------------- fault plane choice 1st fault plane .........101 ------------------------------------------- fault plane error rake difference .........201 slip sense .........202 rake range difference.........203 ------------------------------------------- global error Average on % best .........301 Maximum on % best .........302 --------------------------------- % of data to explain ..........10 100.0 ------------------------------------------- EXIT ..........................99 @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
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