Synthetic galaxy images and spectra from the Illustris simulation
نویسندگان
چکیده
منابع مشابه
Principal Component Analysis of Synthetic Galaxy Spectra
We analyse synthetic galaxy spectra from the evolutionary models of Bruzual & Charlot and Fioc & Rocca-Volmerange using the method of Principal Component Analysis (PCA). We explore synthetic spectra with different ages, star formation histories and metalicities, and identify the Principal Components (PCs) of variance in the spectra due to these different model parameters. The PCA provides a mor...
متن کاملLarge-scale mass distribution in the Illustris simulation
Observations at low redshifts thus far fail to account for all of the baryons expected in the Universe according to cosmological constraints. A large fraction of the baryons presumably resides in a thin and warm–hot medium between the galaxies, where they are difficult to observe due to their low densities and high temperatures. Cosmological simulations of structure formation can be used to ver...
متن کاملThe mass profile of the Milky Way to the virial radius from the Illustris simulation
We use particle data from the Illustris simulation, combined with individual kinematic constraints on the mass of the Milky Way (MW) at specific distances from the Galactic Centre, to infer the radial distribution of the MW’s dark matter halo mass. Our method allows us to convert any constraint on the mass of the MWwithin a fixed distance to a full circular velocity profile to the MW’s virial r...
متن کاملGenerating the synthetic CT (sCT) and synthetic MR (sMR: sT1w/sT2w) images of the brain using atlas based method
Introduction: Radiation therapy planning (RTP) is one of the clinical applications in which both CT scan and MRI are used. MR and CT images are applied to determine the target volume and calculation of dose distribution, respectively. In addition, using two imaging modalities increases the department workload and cost. In this study, an algorithm was presented to create synthet...
متن کاملGalaxy Zoo Challenge: Classify Galaxy Morphologies from Images
Image classi cation has been an important subject in computer vision. The recent kaggle challenge provides an interesting dataset of galaxy images. The goal is to build a predictive algorithm to extract indicators for the galaxy morphologies as viewed in human eyes. This provides a chance to test how state-of-the-art computer vision and machine learning methods can be applied to understand a da...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Monthly Notices of the Royal Astronomical Society
سال: 2015
ISSN: 1365-2966,0035-8711
DOI: 10.1093/mnras/stu2592