Appendix 1 Some Astrophysical Reminders
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Planetas Extrasolares
Local Extrasolar Planets Universidad Andres Bello ESO Vitacura 4 June 2015 Foto: Dante Joyce Minniti Pullen The big picture 1. Increase human resources and networks for national Astronomy 2. Develop new areas of research and do quality science 3. Promote science in Chile Universidad Andres Bello ESO Vitacura 4 June 2015 Dante Minniti The Pioneers Wolfgang Gieren Maria Teresa Ruiz Grzegorz Pietrzynski Dante Minniti School on Extrasolar Planets and Brown Dwarfs Santiago, 2003 Invited Lecturers: Michel Mayor, Scott Tremaine, Gill Knapp, France Allard Universidad Andres Bello ESO Vitacura 4 June 2015 Dante Minniti It is all about time... Telescope time is the most precious... Universidad Andres Bello ESO Vitacura 4 June 2015 Dante Minniti The Pioneers Wolfgang Gieren Maria Teresa Ruiz Grzegorz Pietrzynski Dante Minniti The first exoplanet for us: M. Konacki, G. Torres, D. D. Sasselov, G. Pietrzynski, A. Udalski, S. Jha, M. T. Ruiz, W. Gieren, & D. Minniti, “A Transiting Extrasolar Giant Planet Around the Star OGLE-TR-113'', 2004, ApJ, 609, L37” Universidad Andres Bello ESO Vitacura 4 June 2015 Dante Minniti The Pioneers Paul Butler Debra Fischer Dante Minniti The First Planets from the N2K Consortium Fischer et al., ``A Hot Saturn Planet Orbiting HD 88133, from the N2K Consortium", 2005, The Astrophysical Journal, 620, 481 Sato, et al., ``The N2K Consortium. II. A Transiting Hot Saturn around HD 149026 with a Large Dense Core", 2005, The Astrophysical Journal, 633, 465 Universidad Andres Bello ESO Vitacura 4 June 2015 Dante Minniti The Pioneers -
Hunting Down Stars with Unusual Infrared Properties Using Supervised Machine Learning
. Magnificent beasts of the Milky Way: Hunting down stars with unusual infrared properties using supervised machine learning Julia Ahlvind1 Supervisor: Erik Zackrisson1 Subject reader: Eric Stempels1 Examiner: Andreas Korn1 Degree project E in Physics { Astronomy, 30 ECTS 1Department of Physics and Astronomy { Uppsala University June 22, 2021 Contents 1 Background 2 1.1 Introduction................................................2 2 Theory: Machine Learning 2 2.1 Supervised machine learning.......................................3 2.2 Classification...............................................3 2.3 Various models..............................................3 2.3.1 k-nearest neighbour (kNN)...................................3 2.3.2 Decision tree...........................................4 2.3.3 Support Vector Machine (SVM)................................4 2.3.4 Discriminant analysis......................................5 2.3.5 Ensemble.............................................6 2.4 Hyperparameter tuning.........................................6 2.5 Evaluation.................................................6 2.5.1 Confusion matrix.........................................6 2.5.2 Precision and classification accuracy..............................7 3 Theory: Astronomy 7 3.1 Dyson spheres...............................................8 3.2 Dust-enshrouded stars..........................................8 3.3 Gray Dust.................................................9 3.4 M-dwarf.................................................. 10 3.5 post-AGB -