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Table 1

Spectral indices.

ID αX04/10/16$\[\alpha_{X}^{04 / 10 / 16}\]$ αX26/10/16$\[\alpha_{X}^{26 / 10 / 16}\]$ αX11/04/18$\[\alpha_{X}^{11 / 04 / 18}\]$ αC10/06/18$\[\alpha_{C}^{10 / 06 / 18}\]$ α2018 αX07/05/22$\[\alpha_{X}^{07 / 05 / 22}\]$ αCX04/07/22$\[\alpha_{C X}^{04 / 07 / 22}\]$ α2022
F6 0.01 ± 0.06 −0.02 ± 0.07 −0.09 ± 0.03 0.01 ± 0.04 −0.26 ± 0.05 −0.15 ± 0.02 −0.17 ± 0.12
F7 0.43 ± 0.04 0.48 ± 0.12 0.82 ± 0.08 0.79 ± 0.17 0.79 ± 0.24 1.08 ± 0.09 0.90 ± 0.04 0.92 ± 0.21
F19 −0.75 ± 0.27 −0.36 ± 0.17 −0.21 ± 0.19 −0.51 ± 0.12 −0.75 ± 0.14 −0.61 ± 0.15 −0.32 ± 0.06 −0.35 ± 0.15
F3 0.46 ± 0.17 0.83 ± 0.11 0.74 ± 0.17 0.54 ± 0.12 0.56 ± 0.17 0.40 ± 0.04 0.85 ± 0.10 0.84 ± 0.19
Dong19 0.56 ± 0.42 0.64 ± 0.10 0.88 ± 0.10 1.18 ± 0.05 0.68 ± 0.18 0.59 ± 0.10 0.80 ± 0.14 0.80 ± 0.18
F4 0.91 ± 0.21 0.60 ± 0.45 1.24 ± 0.13 1.02 ± 0.18 0.50 ± 0.16 0.66 ± 0.15 0.82 ± 0.19
F5 0.66 ± 0.06 0.54 ± 0.22 0.40 ± 0.08 0.82 ± 0.23 0.60 ± 0.17 0.89 ± 0.40 0.87 ± 0.12 0.85 ± 0.20
F8 0.25 ± 0.14 0.69 ± 0.32 0.96 ± 0.32 0.44 ± 0.41 0.48 ± 0.06 1.10 ± 0.08 0.67 ± 0.54
Dong96 0.98 ± 0.74 0.50 ± 0.21 0.87 ± 0.15 0.73 ± 0.21 1.51 ± 0.15 0.76 ± 0.14 0.79 ± 0.23
F1 0.58 ± 0.46 0.70 ± 0.61 −0.52 ± 0.50 0.62 ± 0.35 1.02 ± 0.33 0.71 ± 0.22 0.34 ± 0.14 0.93 ± 0.37
F18 −0.45 ± 0.32(*) 0.04 ± 0.29 −0.02 ± 0.13 −0.39 ± 0.15 −0.32 ± 0.49
F26 −1.01 ± 0.14 0.07 ± 0.29 −0.20 ± 0.17 −0.22 ± 0.15
F2 0.34 ± 0.49 0.94 ± 0.19 0.71 ± 0.76 0.58 ± 0.23 −0.07 ± 0.32 0.49 ± 0.18 0.45 ± 0.34
F9 0.72 ± 0.41 0.95 ± 0.26 0.78 ± 0.36(*) 1.17 ± 0.36 0.63 ± 0.34 0.81 ± 0.24 1.03 ± 0.42
F12 −0.27 ± 0.51 0.22 ± 0.38 0.59 ± 0.37 0.32 ± 0.38
B1 0.92 ± 0.49 0.70 ± 0.53
F14 −1.59 ± 0.47 0.70 ± 0.62
F55 −1.15 ± 0.90 −0.86 ± 0.81

Notes. (*)These values were obtained using the peak flux from each sub-image. Due to relatively high S/N, the Gaussian fits did not match the synthesised beam in some sub-images, which resulted in a flux overestimation while performing the least-squares fit.

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