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      Electron scattering wings on lines in interacting supernovae

      1 , 2 , 1
      Monthly Notices of the Royal Astronomical Society
      Oxford University Press (OUP)

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          Late emission from supernovae - A window on stellar nucleosynthesis

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            Is Open Access

            WISeREP - An Interactive Supernova Data Repository

            We have entered an era of massive data sets in astronomy. In particular, the number of supernova (SN) discoveries and classifications has substantially increased over the years from few tens to thousands per year. It is no longer the case that observations of a few prototypical events encapsulate most spectroscopic information about SNe, motivating the development of modern tools to collect, archive, organize and distribute spectra in general, and SN spectra in particular. For this reason we have developed the Weizmann Interactive Supernova data REPository - WISeREP - an SQL-based database (DB) with an interactive web-based graphical interface. The system serves as an archive of high quality SN spectra, including both historical (legacy) data as well as data that is accumulated by ongoing modern programs. The archive provides information about objects, their spectra, and related meta-data. Utilizing interactive plots, we provide a graphical interface to visualize data, perform line identification of the major relevant species, determine object redshifts, classify SNe and measure expansion velocities. Guest users may view and download spectra or other data that have been placed in the public domain. Registered users may also view and download data that are proprietary to specific programs with which they are associated. The DB currently holds >8000 spectra, of which >5000 are public; the latter include published spectra from the Palomar Transient Factory, all of the SUSPECT archive, the Caltech-Core-Collapse Program, the CfA SN spectra archive and published spectra from the UC Berkeley SNDB repository. It offers an efficient and convenient way to archive data and share it with colleagues, and we expect that data stored in this way will be easy to access, increasing its visibility, usefulness and scientific impact.
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              Shock Breakout in Dense Mass Loss: Luminous Supernovae

              We examine the case where a circumstellar medium around a supernova is sufficiently opaque that a radiation dominated shock propagates in the circumstellar region. The initial propagation of the shock front into the circumstellar region can be approximated by a self-similar solution that determines the radiative energy in a shocked shell; the eventual escape of this energy gives the maximum luminosity of the supernova. If the circumstellar density is described by \rho=Dr^{-2} out to a radius R_w, where D is a constant, the properties of the shock breakout radiation depend on R_w and R_d\equiv\kappa Dv_{sh}/c, where \kappa is the opacity and v_{sh} is the shock velocity. If R_w>R_d, the rise to maximum light begins at ~ R_d/v_{sh}; the duration of the rise is also ~ R_d/v_{sh}; the outer parts of the opaque medium are extended and at low velocity at the time of peak luminosity; and a dense shell forms whose continued interaction with the dense mass loss gives a characteristic flatter portion of the declining light curve. If R_w

                Author and article information

                Journal
                Monthly Notices of the Royal Astronomical Society
                Oxford University Press (OUP)
                0035-8711
                1365-2966
                March 2018
                March 21 2018
                December 08 2017
                March 2018
                March 21 2018
                December 08 2017
                : 475
                : 1
                : 1261-1273
                Affiliations
                [1 ]Department of Astronomy, University of Virginia, PO Box 400325, Charlottesville, VA 22904, USA
                [2 ]Department of Physics and Astronomy, University of Nevada, Las Vegas, PO Box 454002, Las Vegas, NV 89154, USA
                Article
                10.1093/mnras/stx3163
                136b18de-b1b8-40cf-9f34-1ff9871d6eee
                © 2017
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