Table A.3.
Spectral fitting methods applied to IOM spectra.
| % Positive Identifications for 10,000 Fits | ||||
|---|---|---|---|---|
| IOM Name | ID Individual - Linear | ID Individual - K-S | ID as IOM - Linear | ID as IOM - K-S |
| Cold Bokkeveld | 92.19 | 51.65 | 100 | 100 |
| DOM08006 | 93.7 | 94.35 | 100 | 99.99 |
| GRO95577 | 41.88 | 27.47 | 100 | 99.99 |
| QUE97008 | 100 | 99.86 | 100 | 99.86 |
| Tag_UA_11h | 92.06 | 68.85 | 100 | 99.97 |
| Tagish_CCL | 48.08 | 23.52 | 100 | 99.99 |
| Tagish_DM | 99.4 | 95.32 | 100 | 99.98 |
| Tagish_Lake | 94.38 | 95.72 | 100 | 100 |
| ALH83100 | 45.82 | 21.19 | 100 | 99.98 |
| ALH85013 | 46.14 | 31.01 | 100 | 100 |
| Bells | 59.86 | 22.14 | 100 | 100 |
| GRO95566 | 30.77 | 19.72 | 100 | 99.99 |
| LEW85311 | 38.49 | 31.42 | 100 | 100 |
| MET01070 | 36.32 | 35.63 | 100 | 99.99 |
| Mighei | 45.91 | 40.21 | 100 | 99.94 |
| Murchison | 42.2 | 23.05 | 100 | 99.99 |
| Orgueil | 53.87 | 28.43 | 100 | 100 |
| Y86720 | 95.42 | 99.32 | 95.42 | 99.32 |
Notes. Results of our two spectral fitting methods, linear least-squares (linear) and Kolmogorov-Smirnov (K-S), when applied to IOM spectra with 10,000 randomly generated noise profiles simulating OVIRS noise. “ID individual” refers to cases in which the noise-added laboratory spectrum is best fit with its noise-free counterpart (i.e., an exact match); “ID as IOM” refers to cases where the noise-added laboratory spectrum is best fit with another IOM spectrum (as opposed to a different laboratory endmember, e.g., a calcite), which is true nearly 100% of the time.
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