| Autor: |
Grayling, M., Gutiérrez, C. P., Sullivan, M., Wiseman, P., Vincenzi, M., González-Gaitán, S., Tucker, B. E., Galbany, L., Kelsey, L., Lidman, C., Swann, E., Carollo, D., Glazebrook, K., Lewis, G. F., Möller, A., Hinton, S. R., Smith, M., Uddin, S. A., Abbott, T. M. C., Aguena, M., Avila, S., Bertin, E., Bhargava, S., Brooks, D., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Costanzi, M., da Costa, L. N., De Vicente, J., Desai, S., Diehl, H. T., Doel, P., Everett, S., Ferrero, I., Fosalba, P., Frieman, J., García-Bellido, J., Gaztanaga, E., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hoyle, B., Kuehn, K., Kuropatkin, N., Lima, M., MacCrann, N., Marshall, J. L., Martini, P., Miquel, R., Morgan, R., Palmese, A., Paz-Chinchón, F., Plazas, A. A., Romer, A. K., Sánchez, C., Sanchez, E., Scarpine, V., Serrano, S., Sevilla-Noarbe, I., Soares-Santos, M., Suchyta, E., Tarle, G., Thomas, D., To, C., Varga, T. N., Walker, A. R., Wilkinson, R. D. |
| Rok vydání: |
2021 |
| Předmět: |
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| Druh dokumentu: |
Working Paper |
| DOI: |
10.1093/mnras/stab1478 |
| Popis: |
We present DES14X2fna, a high-luminosity, fast-declining type IIb supernova (SN IIb) at redshift $z=0.0453$, detected by the Dark Energy Survey (DES). DES14X2fna is an unusual member of its class, with a light curve showing a broad, luminous peak reaching $M_r\simeq-19.3$ mag 20 days after explosion. This object does not show a linear decline tail in the light curve until $\simeq$60 days after explosion, after which it declines very rapidly (4.38$\pm$0.10 mag 100 d$^{-1}$ in $r$-band). By fitting semi-analytic models to the photometry of DES14X2fna, we find that its light curve cannot be explained by a standard $^{56}$Ni decay model as this is unable to fit the peak and fast tail decline observed. Inclusion of either interaction with surrounding circumstellar material or a rapidly-rotating neutron star (magnetar) significantly increases the quality of the model fit. We also investigate the possibility for an object similar to DES14X2fna to act as a contaminant in photometric samples of SNe Ia for cosmology, finding that a similar simulated object is misclassified by a recurrent neural network (RNN)-based photometric classifier as a SN Ia in $\sim$1.1-2.4 per cent of cases in DES, depending on the probability threshold used for a positive classification. |
| Databáze: |
arXiv |
| Externí odkaz: |
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