Table 1
Hyper flux estimation for the injected test source (Fig. 2) using different polynomial fits to model the background.
| Polynomial | Hyper flux | Difference | rms |
| order | (Jy) | (%) | (mJy) |
|
|
|||
| 1 | 1.451 | 73 | 11.2 |
| 2 | 1.075 | 28 | 7.6 |
| 3 | 1.062 | 26 | 7.3 |
| 4 | 1.003 | 19 | 6.8 |
Notes. The reference flux of the injected source is 0.840 Jy. The fourth-order polynomial improves the flux estimation up to ≃55% with respect to the first-order polynomial. Also the residual background rms around the source is lower in the fourth-order polynomial approximation of the background.
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