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Generating Stellar Spectra Using Neural Networks
Gebran, Marwan
A new generative technique is presented in this paper that uses Deep Learning to reconstruct stellar spectra based on a set of stellar parameters. Two different Neural Networks were trained allowing the generation of new spectra. First, an autoencoder is trained on a set of BAFGK synthetic data calculated using ATLAS9 model atmospheres and SYNSPEC…
Separating the Spectral Counterparts in NGC 1275/Perseus Cluster in X-Rays
Fedorova, Elena; Zadorozhna, Lidiia; Tugay, Anatolii +3 more
We present a model-independent method for separating the spectral counterparts of the active galactic nucleus (AGN) NGC 1275 from the surrounding emission of the Perseus cluster, as observed by Suzaku/XIS cameras. The Perseus cluster emission extends to higher energies than typically observed in AGN environments, reaching up to 9–10 keV. This nece…
The Complex Structure of the Abell 548–Abell 3367 Region
Henriksen, Mark J.; Ahmed, Layla
Archival XMM and ROSAT X-Ray data are used to investigate the structure of the Abell 548–Abell 3367 region. Based on previous optical studies, this is a region likely to be rich in structure, although studies are in disagreement regarding the connection between Abell 3367 and Abell 548. We use the available archival X-Ray data together with kinema…