Search Results for author: Kenji Bekki

Found 2 papers, 1 papers with code

Estimating galaxy masses from kinematics of globular cluster systems: a new method based on deep learning

no code implementations30 Jan 2021 Rajvir Kaur, Kenji Bekki, Ghulam Mubashar Hassan, Amitava Datta

Then we use the CNN to predict the total masses of galaxies (i. e., test the CNN) for the totally unknown dataset that is not used in training the CNN.

A new way to constrain the densities of intra-group medium in groups of galaxies with convolutional neural networks

1 code implementation8 Aug 2020 Austin X. Shen, Kenji Bekki

One of the key parameters for the strength of RP is the density of intra-group medium ($\rho_{\rm igm}$), which is difficult to estimate if the X-ray emission from it is too weak to be observed.

Astrophysics of Galaxies

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