Transients Classification Tools

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Transients Classification Tools TKP meeting 4 Dec 2012, Amsterdam Gosia Pietka, Rob Fender, Adam Stewart, Teo Muñoz-Darias

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TraP process flow Data Imaging Source Finder Initial classification based on the radio information Classification based on radio + optical data No further observa.ons Fast ToO Slow ToO Slow Fast Not exciting Request for more observations Optical, X-ray, radio follow up

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Van der Laan Synchrotron Bubble Model − ℎ∝ ≫1 ≪1 ℎ ℎ ≈1

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Flux as a function of time

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Phase 1: Slope

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Phase 1: Slope

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Phase 1: Slope (Pietka & Fender in prep.) Peak radio luminosity [erg/s] vs rising rate of the lightcurve Slow Fast

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Probability distribu:on of source classiﬁca:on a

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Phase 2: Slope + Rise Time

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Phase 2: Slope + Rise Time (Pietka & Fender in prep.) Fast Fast Slow Slow

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Phase 2: Slope + Rise Time Fast Fast

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Phase 2: Slope + Rise Time

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Phase 3: Slope + Rise Time + Decline time

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Flux vs time for different types of objects Flux (Jy) Time(day) XRB SN Blazar

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Flux density at different frequencies

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TraP process flow Data Imaging Source Finder Initial classification based on the radio information Classification based on radio + optical data No further observa.ons Fast ToO Slow ToO Optical, X-ray, radio follow up Slow Fast Not exciting Request for more observations

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●  RADIO/OPTICAL IDENTIFICATION of point sources (Stewart, Muñoz-Darias & Fender in prep.) "   Diagrams using Optical/IR/Radio fluxes and colours o  The simpler the better o  Quick identification of the nature of the transients: follow up? "  (simultaneous) Radio (few GHz), Optical (V/R bands): ★  Supernovae, Gamma Ray Burst ★  X-ray binaries, CVs, different ﬂavours of pulsars ★  Active stars ( many thanks to Manuel Güdel) ★  QSOs - Radio (e.g. PKS) and optically selected (SLOAN)

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Colour magnitude diagram

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Conclusion •  Radio informa.on: ü Slope ü Rise .me ü Decline .me •  Radio + op.cal •  Extrapola.on of the results to the lower frequencies data, based on the van der Laan model

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Conclusion