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Spectroscopic classification of four optical transients

ATel #11113; Subhash Bose, Ping Chen, Subo Dong (KIAA-PKU)
on 30 Dec 2017; 09:19 UT
Credential Certification: Subhash Bose (bose@pku.edu.cn)

Subjects: Optical, Supernovae

We report optical spectroscopic observations of transients ASASSN-17rh, ASASSN-17ro, ASASSN-17rr (ATel #11103) and ASASSN-17rm (2017jef) done on UT 2017-12-28, with DBSP mounted on the Hale 5m telescope at Palomar Observatory. The targets were discovered by All-Sky Automated Survey for Supernovae (ASAS-SN, Shappee et al. 2014). We used SNID (Blondin & Tonry, 2007, ApJ, 666, 1024) to identify the types and phases of SNe from spectra.

 
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 Survey Name | IAU Name   | Obsv. Date    | Spec. Type | Phase                 |  Redshift    | Notes  
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 ASASSN-17rh | AT 2017jdh | 2017-12-28.27 |   CV       |  ---                  |  0.0         | 
 ASASSN-17rm | SN 2017jef | 2017-12-28.52 |   Ia       |  Week before max.     |  0.028 (NED) |  (1)   
 ASASSN-17ro | SN 2017jeh | 2017-12-28.40 |   Ia       |  Few days before max. |  0.021 (NED) |  (2)  
 ASASSN-17rr | SN 2017jet | 2017-12-28.48 |   Ia-91T   |  Near max.            |  0.040       |  (3) 
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(1) The SNID estimated redshift is consistent with the redshift of the host 2MASX J15052096+1247036.
(2) The SNID estimated redshift is consistent with the redshift of the host CGCG 261-072.
(3) The redshift is estimated using the narrow lines from host, which is also consistent with the SNID estimated redshift. Our classification is consistent with that reported by Robin Leadbeater (2017jet)

This research uses data obtained through the Telescope Access Program (TAP), which has been funded by the National Astronomical Observatories of China, the Chinese Academy of Sciences, and the Special Fund for Astronomy from the Ministry of Finance. Observations obtained with the Hale Telescope at Palomar Observatory were obtained as part of an agreement between the National Astronomical Observatories, Chinese Academy of Sciences, and the California Institute of Technology.