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MKT J170456.2−482100: the first transient discovered byMeerKAT

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Zenodo2019-11-20 更新2026-04-07 收录
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These are the data files required to make Figures 2, 4, 5, 6, 8, 10, 11, and 12 of the manuscript:<br> https://doi.org/10.1093/mnras/stz3027<br> or Open-Access on ArXiv:<br> https://arxiv.org/abs/1911.07713 The code that uses these files to make the plots can be found here (DOI). Please make sure to cite these data correctly! The required citations for these data are: <strong>ASAS_data.tsv</strong> is ASAS data from their catalogue and therefore are not covered by our licence. If you make use of these data please cite ASAS appropriately according to their guidelines. <strong>KELT_S36_lc_027056_V01_west_tfa.dat</strong> and <strong>KELT_S36_lc_027057_V01_east_tfa.dat</strong> are data sets from KELT and therefore are not covered by our licence. If you make use of these data please cite KELT by citing Pepper et al. 2007. <strong>ASASSN.csv</strong> is ASAS-SN data from their catalogue and therefore are not covered by our licence. If you make use of these data please cite ASAS-SN appropriately according to their guidelines (when using ASAS-SN light curves in publications cite: Shappee et al. (2014) and Kochanek et al. (2017)). <strong>TYC_optical_semesters.npy</strong>, <strong>TYC_optical_binned.npy</strong>, and <strong>TYC_optical_binned_noOutliers.npy</strong> also make use of the above ASAS, KELT, and ASAS-SN. If you use these data please cite ASAS, KELT, and ASAS-SN as above, as well as our work. <strong>TYC_MeerKAT_fluxes.npy</strong> and <strong>TYC_local_RMS.npy</strong> are the data as presented in Table A1 in our manuscript. Therefore, please cite our work if you make use of these data. <strong>TYC_SED_datapoints.txt</strong> and <strong>TYC_SED_model.txt</strong> are the data and model used to make the SED of TYC 8332-2529-1. Please cite our work and the references therein for the datapoints, and our work and McDonald et al. 2012 and McDonald et al. 2017 if you make use of the model. <strong>TYC_MeerKAT_ScaledFlux.npy</strong> is presented in Figures 2 and 10 of our manuscript, please cite our work if you make use of these data <strong>SALT_radial_velocities.npy</strong> and <strong>LCO_radial_velocities.npy</strong> are presented in Table 2 of our manuscript, please cite our work if you make use of these data <strong>TYC_LS_periods.npy</strong> and <strong>TYC_LS_periodErrors.npy</strong> are the results of the Lomb-Scargle analysis of the optical observations and are presented in Figure 4 of our manuscript, please cite our work if you make use of these data More information about the format of these data and how to use them can be found in the GitHub repo (DOI).

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2019-11-20
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