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All Journal Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Journal of Applied Geospatial Information JIPF (Jurnal Ilmu Pendidikan Fisika) JRST (Jurnal Riset Sains dan Teknologi) JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Pendidikan Fisika dan Teknologi Abdimas Galuh: Jurnal Pengabdian Kepada Masyarakat TECHNO-SOCIO EKONOMIKA Community Development Journal: Jurnal Pengabdian Masyarakat ABDI SABHA (Jurnal Pengabdian kepada Masyarakat) Lensa: Jurnal Kependidikan Fisika Jurnal Natural Charm Sains : Jurnal Pendidikan Fisika Time in Physics: Journal for Theoretical, Instrumentation, Material-Molecular, and Education Physics
Goldbert Harmuda Duva Sinaga
Universitas HKBP Nommensen
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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 Adhi Wibowo Ady Frenly Simanullang Agoez Loeqman Agoez Loeqman Angin, Aunike Fedora Br Perangin Ariefka, Reza Arip Nurahman Arip Nurahman Budiman Nasution Era Novita Sijabat Ezra Octania Sianipar halawa, analiser Handoco, Ewin Hebron Pardede Herna Febrianty Sianipar Indah Indah Irving Josafat Alexander Jaya, Pratama Jono Barita Sianipar Jono Barita Sianipar Juliper Nainggolan Lubis, Rointan Lulut Alfaris Manalu, Sanyosep Rezeki Marbun, Juliaster Mariana Br Surbakti Mariana Br. Surbakti Martha Rianna Mia Endang Sari Sinaga Mila Susanty Sianipar Morianus Gowasa Muhlis, Dasep nainggolan, juliper Nurahman, Arip Pandu Pribadi Pardede, Hebron Parlindungan Sitorus Prasetyo, Retno Agung Pribadi, Pandu Purba, Bulus Tua M. Purba, Jhon Sufriadi Purwanto, Romdhon Rina Kristiana Sitepu Ronny Napitupulu Ruben Cornelius Siagian Ruben Cornelius Siagian Sahroni, Taufik Roni Saragi, Jandri Fan HT Siagian, Ruben Cornelius SIANTURI, TAMBOS AUGUST Sihotang, Limayiana Sinaga, Mardame Pangihutan Siska Yunita Hutagalung SITINJAK, ERNI KUSRINI Toga Simarmata Welmar Olfan Barat, Welmar Olfan