activity
20152023
most citedOptical continuum photometric reverberation mapping of the Seyfert-1 galaxy Mrk509

25 citations · 63 across the 5 of their papers we have counts for

collaborators

6 papers

astro-ph.IM2023★ 7 cited

A Gaussian process cross-correlation approach to time delay estimation in active galactic nuclei

F. Pozo Nuñez, N. Gianniotis, K. L. Polsterer

We present a probabilistic cross-correlation approach to estimate time delays in the context of reverberation mapping (RM) of Active Galactic Nuclei (AGN). We reformulate the tradi…

astro-ph.IM2021★ 7 cited

Disentangling the optical AGN and Host-galaxy luminosity with a probabilistic Flux Variation Gradient

N. Gianniotis, F. Pozo Nuñez, K. L. Polsterer

We present a novel Probabilistic Flux Variation Gradient (PFVG) approach to to separate the contributions of active galactic nuclei (AGN) and host galaxies in the context of photom…

astro-ph.GA2019★ 25 cited

Optical continuum photometric reverberation mapping of the Seyfert-1 galaxy Mrk509

F. Pozo Nuñez, N. Gianniotis, J. Blex +6

We present the results of a two year optical continuum photometric reverberation mapping campaign carried out on the nucleus of the Seyfert-1 galaxy Mrk509. Specially designed narr…

cs.NE2019★ 21 cited

Efficient Optimization of Echo State Networks for Time Series Datasets

Jacob Reinier Maat, Nikos Gianniotis, Pavlos Protopapas

Echo State Networks (ESNs) are recurrent neural networks that only train their output layer, thereby precluding the need to backpropagate gradients through time, which leads to sig…

astro-ph.IM2016★ 3 cited

Modelling multimodal photometric redshift regression with noisy observations

S. D. Kügler, N. Gianniotis

In this work, we are trying to extent the existing photometric redshift regression models from modeling pure photometric data back to the spectra themselves. To that end, we develo…

astro-ph.IM2015

Featureless Classification of Light Curves

Sven Dennis Kügler, Nikos Gianniotis, Kai Lars Polsterer

In the era of rapidly increasing amounts of time series data, classification of variable objects has become the main objective of time-domain astronomy. Classification of irregular…