## 1st Abstract

Title (1st Abstract) | An empirical study on distances and evolution of supernova remnants: insights from $Sigma D$ data distribution |

First Author | Branislav Vukotić |

Affiliation | Astronomical Observatory, Belgrade, Serbia |

Presentation options | |

Session | 7. SNRs as probes and drivers of galaxy structure |

1st Abstract | For the selected sample of calibrators, with radio surface brightness ($Sigma$) and linear diameter ($D$) data, we reconstruct the probability density function of the data in the $Sigma D$ plane, called $Sigma D$ pdf map. The $Sigma D$ pdf map is calculated with bootstrap approach by resampling the calibrating sample data. Unlike standard linear fit based calibrations our method gives more robust results. A probability density distribution for $D$ is obtained for each particular $Sigma$ value. This also gives a probability distribution of the corresponding statistical distance. We calculate distances for extragalactic and Galactic SNR calibrating samples and compare the results with standard, fit based approaches. In addition, utilizing the $Sigma D$ pdf map we quantify the data grouping in the $Sigma D$ plane which can be very useful tool for the studies on $Sigma D$ evolution of supernova remnants. |

## Account

First Name | Branislav |

Last Name | Vukotić |

Institution | Astronomical Observatory, Belgrade |

Country | Serbia |