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Table 1.

Overview of the considered mass models and their chi-square values for the corresponding best-fit models.

Model SN host weighting d.o.f. χimg2 χext2 χred2 χimg,S24,w2 χext,orig2 RMS (w)
S24 Y χimg2 only 110 111.3 1.01 111.3 37 105 0 . Mathematical equation: $ \overset{\prime \prime }{.} $39
Ew Y χext2-dominant 70 272 394 68 853 0.99 394 30 286 0 . Mathematical equation: $ \overset{\prime \prime }{.} $73
Sw Y χext2 ∼ χimg2 73 232 35 455 36 234 0.98 138.5 33 673 0 . Mathematical equation: $ \overset{\prime \prime }{.} $44
Ewo N χext2-dominant 70 151 357 69 198 0.97 361 30 406 0 . Mathematical equation: $ \overset{\prime \prime }{.} $70
Swo N χext2 ∼ χimg2 73 371 34 803 36 212 0.99 141 33 654 0 . Mathematical equation: $ \overset{\prime \prime }{.} $44

Notes. We note that only χimg,S24,w2, χext,orig2, and RMS (w) can be fairly compared across different models, as they are computed assuming the same observational uncertainties. The columns give from left to right the model acronym, whether the SN host image positions are included (Y) or not (N), the χ2 term weighting, the number of degrees of freedom (d.o.f.), the image position chi-square value, as obtained from the optimization, the chi-square value of the extended image, as obtained from the optimization, the total reduced chi-square defined as χ2/d.o.f., the image position chi-square, adopting the uncertainties of S24 and always including the multiple image positions of the SN host, the extended chi-square value, by adopting the original error map as defined in Eq. (4), and, finally, the root mean square (RMS) from all multiple image positions (to allow for a fair comparison across the five models).

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