J/ApJ/885/85ivo://CDS.VizieR/J/ApJ/885/85doi:10.26093/cds/vizier.18850085CDSMuthukrishna D.Parkinson D.Tucker B.E.2023-12-14T01:23:35Z2023-10-27T13:22:14ZCDS support team

CDS, Observatoire de Strasbourg, 11 rue de l'Universite, F-67000 Strasbourg, France

cds-question@unistra.frsupernovaeredshiftedspectroscopyvisible-astronomyWe present DASH (Deep Automated Supernova and Host classifier), a novel software package that automates the classification of the type, age, redshift, and host galaxy of supernova spectra. DASH makes use of a new approach that does not rely on iterative template-matching techniques like all previous software, but instead classifies based on the learned features of each supernova's type and age. It has achieved this by employing a deep convolutional neural network to train a matching algorithm. This approach has enabled DASH to be orders of magnitude faster than previous tools, being able to accurately classify hundreds or thousands of objects within seconds. We have tested its performance on 4yr of data from the Australian Dark Energy Survey (OzDES). The deep learning models were developed using TensorFlow and were trained using over 4000 supernova spectra taken from the CfA Supernova Program and the Berkeley SN Ia Program as used in SNID (Supernova Identification software). Unlike template-matching methods, the trained models are independent of the number of spectra in the training data, which allows for DASH's unprecedented speed. We have developed both a graphical interface for easy visual classification and analysis of supernovae and a Python library for the autonomous and quick classification of several supernova spectra. The speed, accuracy, user-friendliness, and versatility of DASH present an advancement to existing spectral classification tools. We have made the code publicly available on GitHub and PyPI (pip install astrodash) to allow for further contributions and development. The package documentation is available at http://astrodash.readthedocs.io/2019ApJ...885...85Mhttps://cdsarc.cds.unistra.fr/viz-bin/cat/J/ApJ/885/85CatalogResearchIsServedByTAP VizieR generic serviceIsServedByConesearch servicerelated-toJ/AJ/135/1598 : Optical spectroscopy of type Ia supernovae (Matheson+, 2008)J/AJ/143/126 : Spectroscopy of 462 nearby Type Ia supernovae (Blondin+, 2012)J/MNRAS/425/1789 : Berkeley supernova Ia program. I. (Silverman+, 2012)J/AJ/147/99 : Spectroscopy of 73 stripped core-collapse SNe (Modjaz+, 2014)J/ApJ/827/90 : Spectroscopy of SNe Ib, IIb and Ic (Liu+, 2016)J/ApJ/832/108 : Spectral properties of Type Ic & Ic-bl SNe (Modjaz+, 2016)J/ApJS/230/20 : Machine learning technique for CoNFIG gal. (Aniyan+, 2017)J/MNRAS/472/273 : OzDES DR1 (Childress+, 2017)http://heracles.astro.berkeley.edu/sndb/info : SNDB home pagehttp://people.lam.fr/blondin.stephane/software/snid/index.html : SNID accesshttp://github.com/nyusngroup/SESNtemple/tree/master/SNIDtemplates : Liu &https://cds.unistra.fr/vizier-org/licences_vizier.htmlhttps://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/ApJ/885/85https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/ApJ/885/85http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/ApJ/885/85https://vizier.cds.unistra.fr/viz-bin/votable?-source=J/ApJ/885/85https://vizier.iucaa.in/viz-bin/votable?-source=J/ApJ/885/85http://vizieridia.saao.ac.za/viz-bin/votable?-source=J/ApJ/885/85GETtext/xml+votablehttps://tapvizier.cds.unistra.fr/TAPVizieR/tapCone search capability for table J/ApJ/885/85/table2 (*Classification of supernovae released in the past 3yr of ATels by OzDES)https://vizier.cds.unistra.fr/viz-bin/conesearch/J/ApJ/885/85/table2?https://vizier.iucaa.in/viz-bin/conesearch/J/ApJ/885/85/table2?http://vizieridia.saao.ac.za/viz-bin/conesearch/J/ApJ/885/85/table2?GETtext/xml+votable180.050000true36.9257389-4.31492610.0055555555555555565/4422 4436 8868 8983 9026 6/17669 17671 17677 17679-17680 17682-17683 17686 17692 17694 17712 17735 17741 17750-17752 17756-17757 35383 35385 35387-35390 35476 35480 35926-35927 35931 35956-35957 36098 36128https://cdsarc.cds.unistra.fr/viz-bin/moc/J/ApJ/885/85?format=asciiOpticaldefaultJ/ApJ/885/85/table2*Classification of supernovae released in the past 3yr of ATels by OzDESNameSupernova name (DESYYANaaaa)meta.id;meta.maincharSimbadSimbad column added by the CDSmeta.ref.urlcharCl-ATelATel classification given by OzDES (1)src.spTypecharCl-DASHDASH classificationsrc.spTypecharProb[0.34/1] DASH softmax regression probabilitystat.probabilityfloatRelDASH reliabilitymeta.code.qualcharMatch?Agreement on the type of the SN by ATel and DASH? (x=disagree)meta.codechar_RARight Ascension (J2000) from SIMBAD (not part of the original data)degpos.eq.ra;meta.mainnullablerecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintz[0.018/0.63] Redshift determined by MARZ software (Hinton+ 2016A&C....15...61H)src.redshiftfloat_DEDeclination (J2000) from SIMBAD (not part of the original data)degpos.eq.dec;meta.mainnullable