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All Journal ComEngApp : Computer Engineering and Applications Journal Jurnal Ilmu Komputer dan Informasi ILMU KELAUTAN: Indonesian Journal of Marine Sciences Jurnal Neutrino : jurnal fisika dan aplikasinya Jurnal Pendidikan Fisika Indonesia Jurnal IPTEK Jurnal Fisika FLUX Journal of Mechanical Engineering Science and Technology Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JIPF (Jurnal Ilmu Pendidikan Fisika) Jurnal Penelitian Pendidikan IPA (JPPIPA) Spektra: Jurnal Fisika dan Aplikasinya JRST (Jurnal Riset Sains dan Teknologi) Eksakta : Berkala Ilmiah Bidang MIPA Kappa Journal Journal of Environmental Science and Sustainable Development Jurnal Ilmu Pendidikan Dasar Indonesia Jurnal Natural Time in Physics: Journal for Theoretical, Instrumentation, Material-Molecular, and Education Physics Aliansi : Jurnal Politik, Keamanan Dan Hubungan Internasional
Siagian, Ruben Cornelius
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Neuroscience Physics Social Sciences 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 Suarman Situmorang, Adi Suarman Alatif, Yahya Halim Aldi Cahya Muhammad Ariefka, Reza Aunzo, Jr., Rodulfo T. Budiman Nasution Fadhilah, Dimas Imam Firdaus, Anas Noor Goldbert Harmuda Duva Sinaga Harahap, Veryyon Hassan, Rohana Isnan, M Abdurrahman Ridwan Jaya, Pratama Jubaidah, Jubaidah Karim, Mohammad Alfin Kasim, Mohd Shahir Laeiq, Nazish Lubis, Putri Rahmadani Lulut Alfaris Malun, Nicholaus Ola Muhlis, Dasep Nasution, Habibi Azka Nurahman, Arip Nyuswantoro, Ukta Indra Nyuswantoro, Ukta Indra Nyuswantoro Pandara, Dolfie Paulus Pribadi, Pandu Purwanto, Romdhon Rahdiana, Nana Rajagukguk, Michael Haratua Rancak, Gendewa Tunas Ratna Rintaningrum, Ratna Rionaldy, Rizqy Sahroni, Taufik Roni Sahroni, Taufik Roni, Mr. Siahaan, Kevin William Andri Silalahi, Christeven Simamora, Ursulla Duti Oktria Sinaga, Juli Antasari Br Sinaga, Mardame Pangihutan Suhara, Ade Wardana, Febriansyah Wibowo, Arnowo Hari Wibowo, Firdaus Andi Wibowo, Rizky Tri winsyahputra Ritonga Yasin, Verdi Yulianto, Tomi