Table 6.
J-PLUS classification.
| ID | RA | Dec | Class_star | PredictClass | Probability |
|---|---|---|---|---|---|
| 26016–5 | 255.46835 | 22.76001 | 0.9990 | STAR | 92.96% |
| 26016–15 | 255.30506 | 22.76083 | 0.9990 | STAR | 99.91% |
| 26016–16 | 255.36753 | 22.76113 | 0.9990 | STAR | 99.20% |
| 26016–22 | 255.27928 | 22.76202 | 0.9536 | GALAXY | 79.71% |
| 26016–29 | 255.45243 | 22.76157 | 0.9814 | GALAXY | 76.31% |
| 26016–33 | 255.39194 | 22.76157 | 0.9780 | GALAXY | 93.95% |
| 26016–50 | 255.16394 | 22.76439 | 0.0460 | STAR | 64.35% |
| 26016–55 | 255.66306 | 22.76168 | 1.0000 | STAR | 99.49% |
| 26016–63 | 254.86508 | 22.76506 | 0.7656 | QSO | 86.82% |
| 26016–64 | 254.75625 | 22.76496 | 0.9663 | STAR | 84.58% |
Notes. This table contains the top ten objects located inside the 12 contours. ID is the object identity from J-PLUS (http://archive.cefca.es/catalogues/jplus-dr1/navigator.html). RA and Dec are the right ascension and declination of the objects. The class_star column comes from the J-PLUS catalog, denoting the probability of stars. The PredictClass column presents our classification. The last column provides the probabilities of the predicted class. The sum of the probabilities for the three classes is equal to 100%. In this work, we developed a SVM algorithm with a one-versus-one strategy and a Gaussian kernel equal to 0.75. The table is uploaded with the paper.
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