33 citations · 92 across the 9 of their papers we have counts for
9 papers
Using Multivariate Imputation by Chained Equations to Predict Redshifts of Active Galactic Nuclei
Spencer James Gibson, Aditya Narendra, Maria Giovanna Dainotti +5
Redshift measurement of active galactic nuclei (AGNs) remains a time-consuming and challenging task, as it requires follow up spectroscopic observations and detailed analysis. Henc…
North Ecliptic Pole merging galaxy catalogue
W. J. Pearson, L. E. Suelves, S. C. -C. Ho +17
We aim to generate a catalogue of merging galaxies within the 5.4 sq. deg. North Ecliptic Pole over the redshift range . To do this, imaging data from the Hyper Supr…
Predicting the redshift of gamma-ray loud AGNs using Supervised Machine Learning: Part 2
Aditya Narendra, Spencer James Gibson, Maria Giovanna Dainotti +4
Measuring the redshift of active galactic nuclei (AGNs) requires the use of time-consuming and expensive spectroscopic analysis. However, obtaining redshift measurements of AGNs is…
Environmental Effects on AGN activity via Extinction-free Mid-Infrared Census
Daryl Joe D. Santos, Tomotsugu Goto, Seong Jin Kim +20
How does the environment affect active galactic nucleus (AGN) activity? We investigated this question in an extinction-free way, by selecting 1120 infrared galaxies in the …
Optically-detected galaxy cluster candidates in the North Ecliptic Pole field based on photometric redshift from Subaru Hyper Suprime-Cam
T. -C. Huang, H. Matsuhara, T. Goto +23
Galaxy clusters provide an excellent probe in various research fields in astrophysics and cosmology. However, the number of galaxy clusters detected so far in the North Ecl…
Active galactic nuclei catalog from the AKARI NEP Wide field
Artem Poliszczuk, Agnieszka Pollo, Katarzyna Małek +12
Context. The North Ecliptic Pole (NEP) field provides a unique set of panchromatic data, well suited for active galactic nuclei (AGN) studies. Selection of AGN candidates is often…
An Active Galactic Nucleus Recognition Model based on Deep Neural Network
Bo Han Chen, Tomotsugu Goto, Seong Jin Kim +21
To understand the cosmic accretion history of supermassive black holes, separating the radiation from active galactic nuclei (AGNs) and star-forming galaxies (SFGs) is critical. Ho…
AGN selection in the AKARI NEP deep field with the fuzzy SVM algorithm
Artem Poliszczuk, Aleksandra Solarz, Agnieszka Pollo +14
The aim of this work is to create a new catalog of reliable AGN candidates selected from the AKARI NEP-Deep field. Selection of the AGN candidates was done by applying a fuzzy SVM…
Searching for previously unknown classes of objects in the AKARI-NEP Deep data with fuzzy logic SVM algorithm
Artem Poliszczuk, Aleksandra Solarz, Agnieszka Pollo
In this proceedings application of a fuzzy Support Vector Machine (FSVM) learning algorithm, to classify mid-infrared (MIR) sources from the AKARI NEP Deep field into three classes…