Key parameters of different SED fits to the host of SN 2023tsz, with different SFH burst age parametrizations. The chosen burst age for the best fit (i.e. the lowest reduced chi-squared) is given with the model.
| Model . | log(SFR) (|${\rm M}_{\odot } \, {\rm yr}^{-1}$|) . | log(stellar mass) (|${\rm M}_{\odot }$|) . | log(sSFR) (|${\rm yr}^{-1}$|) . | |$\chi ^2$| . |
|---|---|---|---|---|
| Scenario 1 (burst age = 50 Myr) | –2.58 | 7.06 | –9.64 | 0.22 |
| Scenario 2 (burst age = 100 Myr) | –2.83 | 7.08 | –9.91 | 0.44 |
| Scenario 3 (burst age = 5 Myr) | –2.95 | 6.64 | –9.59 | 1.74 |
| Model . | log(SFR) (|${\rm M}_{\odot } \, {\rm yr}^{-1}$|) . | log(stellar mass) (|${\rm M}_{\odot }$|) . | log(sSFR) (|${\rm yr}^{-1}$|) . | |$\chi ^2$| . |
|---|---|---|---|---|
| Scenario 1 (burst age = 50 Myr) | –2.58 | 7.06 | –9.64 | 0.22 |
| Scenario 2 (burst age = 100 Myr) | –2.83 | 7.08 | –9.91 | 0.44 |
| Scenario 3 (burst age = 5 Myr) | –2.95 | 6.64 | –9.59 | 1.74 |
Key parameters of different SED fits to the host of SN 2023tsz, with different SFH burst age parametrizations. The chosen burst age for the best fit (i.e. the lowest reduced chi-squared) is given with the model.
| Model . | log(SFR) (|${\rm M}_{\odot } \, {\rm yr}^{-1}$|) . | log(stellar mass) (|${\rm M}_{\odot }$|) . | log(sSFR) (|${\rm yr}^{-1}$|) . | |$\chi ^2$| . |
|---|---|---|---|---|
| Scenario 1 (burst age = 50 Myr) | –2.58 | 7.06 | –9.64 | 0.22 |
| Scenario 2 (burst age = 100 Myr) | –2.83 | 7.08 | –9.91 | 0.44 |
| Scenario 3 (burst age = 5 Myr) | –2.95 | 6.64 | –9.59 | 1.74 |
| Model . | log(SFR) (|${\rm M}_{\odot } \, {\rm yr}^{-1}$|) . | log(stellar mass) (|${\rm M}_{\odot }$|) . | log(sSFR) (|${\rm yr}^{-1}$|) . | |$\chi ^2$| . |
|---|---|---|---|---|
| Scenario 1 (burst age = 50 Myr) | –2.58 | 7.06 | –9.64 | 0.22 |
| Scenario 2 (burst age = 100 Myr) | –2.83 | 7.08 | –9.91 | 0.44 |
| Scenario 3 (burst age = 5 Myr) | –2.95 | 6.64 | –9.59 | 1.74 |
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