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Physical Sciences and Mathematics Commons

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Astrophysics and Astronomy

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2022

Galaxies, statistics

Articles 1 - 4 of 4

Full-Text Articles in Physical Sciences and Mathematics

Galaxy And Mass Assembly: Galaxy Zoo Spiral Arms And Star Formation Rates, R Porter-Temple, Benne Holwerda, A M. Hopkins, L E. Porter, C Henry, T Geron, B Simmons, K Masters, S Kruk Aug 2022

Galaxy And Mass Assembly: Galaxy Zoo Spiral Arms And Star Formation Rates, R Porter-Temple, Benne Holwerda, A M. Hopkins, L E. Porter, C Henry, T Geron, B Simmons, K Masters, S Kruk

Faculty Scholarship

Understanding the effect spiral structure has on star formation properties of galaxies is important to complete our picture of spiral structure evolution. Previous studies have investigated connections between spiral arm properties and star formation, but the effect that the number of spiral arms has on this process is unclear. Here, we use the Galaxy And Mass Assembly (GAMA) survey paired with the citizen science visual classifications from the Galaxy Zoo project to explore galaxies’ spiral arm number and how it connects to the star formation process. We use the votes from the GAMA-Kilo Degree Survey Galaxy Zoo classification to investigate …


Galaxy And Mass Assembly (Gama): Self-Organizing Map Application On Nearby Galaxies, Benne W. Holwerda, Dominic Smith, Lori Porter, Chris Henry, Ren Porter-Temple, Kyle Cook, Kevin A. Pimbblet, Andrew M. Hopkins, Maciej Bilicki, Sebastian Turner, Viviana Acquaviva, Lingyu Wang, Angus H. Wright, Lee S. Kelvin, Meiert W. Grootes May 2022

Galaxy And Mass Assembly (Gama): Self-Organizing Map Application On Nearby Galaxies, Benne W. Holwerda, Dominic Smith, Lori Porter, Chris Henry, Ren Porter-Temple, Kyle Cook, Kevin A. Pimbblet, Andrew M. Hopkins, Maciej Bilicki, Sebastian Turner, Viviana Acquaviva, Lingyu Wang, Angus H. Wright, Lee S. Kelvin, Meiert W. Grootes

Faculty Scholarship

Galaxy populations show bimodality in a variety of properties: stellar mass, colour, specific star-formation rate, size, and Sérsic index. These parameters are our feature space. We use an existing sample of 7556 galaxies from the Galaxy and Mass Assembly (GAMA) survey, represented using five features and the K-means clustering technique, showed that the bimodalities are the manifestation of a more complex population structure, represented by between two and six clusters. Here we use Self-Organizing Maps (SOM), an unsupervised learning technique that can be used to visualize similarity in a higher dimensional space using a 2D representation, to map these 5D …


North Ecliptic Pole Merging Galaxy Catalogue, W. J. Pearson, L. E. Suelves, S. C.-C. Ho, N. Oi, S. Brough, Benne Holwerda, A. M. Hopkins, T.-C. Huang, H. S. Hwang, L. S. Kelvin, S. J. Kim, Á. R. López-Sánchez, K. Małek, C. Pearson, A. Poliszczuk, A. Pollo, V. Rodriguez-Gomez, H. Shim, Y. Toba, L. Wang May 2022

North Ecliptic Pole Merging Galaxy Catalogue, W. J. Pearson, L. E. Suelves, S. C.-C. Ho, N. Oi, S. Brough, Benne Holwerda, A. M. Hopkins, T.-C. Huang, H. S. Hwang, L. S. Kelvin, S. J. Kim, Á. R. López-Sánchez, K. Małek, C. Pearson, A. Poliszczuk, A. Pollo, V. Rodriguez-Gomez, H. Shim, Y. Toba, L. Wang

Faculty Scholarship

Aims. We aim to generate a catalogue of merging galaxies within the 5.4 sq. deg. North Ecliptic Pole over the redshift range 0.0 < z < 0.3. To do this, imaging data from the Hyper Suprime-Cam are used along with morphological parameters derived from these same data.

Methods. The catalogue was generated using a hybrid approach. Two neural networks were trained to perform binary merger non-merger classifications: one for galaxies with z < 0.15 and another for 0.15 ≤ z < 0.30. Each network used the image and morphological parameters of a galaxy as input. The galaxies that were identified as merger candidates by the network were then visually checked by experts. The resulting mergers will be used to calculate the merger fraction as a function of redshift and compared with literature results.

Results. We found that 86.3% of galaxy mergers at z < 0.15 and 79.0% of mergers at 0.15 ≤ z < 0.30 are expected to be correctly identified by the networks. Of the 34 264 galaxies classified by the neural networks, 10 195 were found to be merger candidates. Of these, 2109 were visually identified to be merging galaxies. We find that the merger fraction increases with redshift, consistent with literature results from observations and simulations, and that there is a mild star-formation rate enhancement in the merger population of a factor of 1.102 ± 0.084.


The Subaru Hsc Weak Lensing Mass-Observable Scaling Relations Of Spectroscopic Galaxy Groups From The Gama Survey, Divya Rana, Surhud More, Hironao Miyatake, Takahiro Nishimichi, Masahiro Takada, Aaron S G Robotham, Andrew M. Hopkins, Benne Holwerda Jan 2022

The Subaru Hsc Weak Lensing Mass-Observable Scaling Relations Of Spectroscopic Galaxy Groups From The Gama Survey, Divya Rana, Surhud More, Hironao Miyatake, Takahiro Nishimichi, Masahiro Takada, Aaron S G Robotham, Andrew M. Hopkins, Benne Holwerda

Faculty Scholarship

We utilize the galaxy shape catalogue from the first-year data release of the Subaru Hyper Suprime-Cam (HSC) survey to study the dark matter content of galaxy groups in the Universe using weak lensing. We use galaxy groups from the Galaxy Mass and Assembly galaxy survey in approximately 100 sq. degrees of the sky that overlap with the HSC survey as lenses. We restrict our analysis to the 1587 groups with at least five members. We divide these groups into six bins each of group luminosity and group member velocity dispersion and measure the lensing signal with a signal-to-noise ratio of …