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Intelligent Communication, Control and Devices pp 1415–1425Cite as

Temperature- and Color-Based SDSS Stellar Spectral Classification Using Automated Scheme

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 624))

Abstract

Automated techniques minimize the complexity, saving time and efforts in the object classification and their analysis. Sloan Digital Sky Survey (SDSS) is one of the spectroscopic surveys releasing large data sets. Astronomers are looking for some automated techniques so that they can analyze these massive data sets which are now publicly available. We use Feed Forward Back Propagation (FFBP) Neural Network for automatic classification. Classification of stars is performed on the basis of two parameters that are temperature and color. 1500 SDSS spectra are classified into 4 spectral types, and around 2359 SDSS spectra are classified into 7 spectral types ranging from A to K and O to M type stars by using color and temperature, respectively.

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References

  1. Bazarghan, Mahdi and Gupta, Ranjan: Automated classification of sloan digital sky survey (SDSS) stellar spectra using artificial neural networks. In: Astrophysics and Space Science (2008)

    Google Scholar 

  2. J. Sánchez Almeida, C. Allende Prieto: Automated Unsupervised Classification of the Sloan Digital Sky Survey Stellar Spectra using k-means Clustering. In: The Astrophysical Journal (2013)

    Google Scholar 

  3. Kheirdastan, S. and Bazarghan, M.: SDSS-DR12 bulk stellar spectral classification: Artificial neural networks approach. In: Astrophysics and Space Science (2016)

    Google Scholar 

  4. Aihara, Hiroaki, et al.: The eighth data release of the Sloan Digital Sky Survey: first data from SDSS-III. In: The Astrophysical Journal Supplement (2011)

    Google Scholar 

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Authors and Affiliations

  1. Hindustan Institute of Technology and Management, Agra, Uttar Pradesh, India

    Amit Goyal, Jayash Kumar Sharma & Darpan Anand

  2. Amity University, Gwalior, Madhya Pradesh, India

    Manish Gupta

Authors
  1. Amit Goyal
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  2. Jayash Kumar Sharma
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  3. Darpan Anand
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  4. Manish Gupta
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Corresponding author

Correspondence to Amit Goyal .

Editor information

Editors and Affiliations

  1. Institute of Robotics Technology (R&D), University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India

    Rajesh Singh

  2. Department of Electronics & Instrumentation Engineering, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India

    Sushabhan Choudhury

  3. Department of Electronics & Instrumentation Engineering, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India

    Anita Gehlot

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© 2018 Springer Nature Singapore Pte Ltd.

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Cite this paper

Goyal, A., Sharma, J.K., Anand, D., Gupta, M. (2018). Temperature- and Color-Based SDSS Stellar Spectral Classification Using Automated Scheme. In: Singh, R., Choudhury, S., Gehlot, A. (eds) Intelligent Communication, Control and Devices. Advances in Intelligent Systems and Computing, vol 624. Springer, Singapore. https://doi.org/10.1007/978-981-10-5903-2_148

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  • DOI: https://doi.org/10.1007/978-981-10-5903-2_148

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-5902-5

  • Online ISBN: 978-981-10-5903-2

  • eBook Packages: EngineeringEngineering (R0)

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