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All Journal International Journal of Educational Management and Innovation (IJEMI) Jurnal Simki Pedagogia International Journal on Education Insight Bincang Sains dan Teknologi Research in Physics Education Time in Physics: Journal for Theoretical, Instrumentation, Material-Molecular, and Education Physics TarbiyahMU Innovations in Multidisciplinary Education Journal Journal of Social and Community Development Contemporary Education and Community Engagement
Pribadi, Pandu
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Religion Humanities Computer Science & IT Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Mathematics Physics Social Sciences Transportation Other

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Exploring Celestial Object Characteristics: An In-depth Analysis of Quasars, Stars, and White Dwarfs Using the Sloan Digital Sky Survey (SDSS) Dataset Siagian, Ruben Cornelius; Nurahman, Arip; Sinaga, Goldberd Harmuda Duva; Ariefka, Reza; Pribadi, Pandu
TIME in Physics Vol. 2 No. 1 (2024): March
Publisher : Universitas Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/timeinphys.2024.v2i1p1-16

Abstract

This research utilizes the Sloan Digital Sky Survey (SDSS) dataset, examining 12,884 observations to explore quasars, stars, and white dwarf objects. Magnitude data and coordinates across five filter bands are analyzed, revealing unique features through statistical methods. The identification of 77,429 quasars with 15 dimensions enhances the dataset. Thorough analyses of stellar and white dwarf classes, coupled with visualization techniques, unveil variable relationships. Residual validation and Gaussian kernel density plots confirm significant class differences. Non-linear regression and a normal distribution mixture model depict complex variable relationships. A parallel coordinates plot aids in interpreting data patterns, while predictive modeling via regression exposes meaningful coefficients. Logistic regression effectively classifies astronomical objects in the SDSS training data. This research contributes to understanding celestial object characteristics, offering valuable insights for astronomers and astrophysicists in analyzing large-scale astronomical datasets.
Co-Authors Adi Irfan Marjuqi Adi Jufriansah Alfito, Dadi Ani Susanti Ariefka, Reza Arif Jamali Fiqry, Rizalul Goldbert Harmuda Duva Sinaga Herdiman, Herri Imama, Mohammad Luthfi Kartika , Ika Khairil Anwar krisdayanti, devi Nana Supriatna Nurahman, Arip Nurohman, Arip Rohili, Lili Rusliana, Iu Siagian, Ruben Cornelius Sulaeman, Maman Syarif Hidayat