Black hole mass estimates based on C IV are consistent with those based on the Balmer lines RJ Assef, KD Denney, CS Kochanek, BM Peterson, S Kozłowski, ... The Astrophysical Journal 742 (2), 93, 2011 | 170 | 2011 |
Photometric redshift estimation via deep learning-generalized and pre-classification-less, image based, fully probabilistic redshifts A D’Isanto, KL Polsterer Astronomy & Astrophysics 609, A111, 2018 | 162 | 2018 |
Radio Galaxy Zoo: host galaxies and radio morphologies derived from visual inspection JK Banfield, OI Wong, KW Willett, RP Norris, L Rudnick, SS Shabala, ... Monthly Notices of the Royal Astronomical Society 453 (3), 2326-2340, 2015 | 145 | 2015 |
LUCIFER: a multimode NIR instrument for the LBT W Seifert, I Appenzeller, H Baumeister, P Bizenberger, D Bomans, ... Instrument Design and Performance for Optical/Infrared Ground-based …, 2003 | 112 | 2003 |
LUCIFER1 commissioning at the LBT N Ageorges, W Seifert, M Jütte, V Knierim, M Lehmitz, A Germeroth, ... Ground-based and Airborne Instrumentation for Astronomy III 7735, 641-652, 2010 | 61 | 2010 |
Cataloguing the radio-sky with unsupervised machine learning: a new approach for the SKA era TJ Galvin, MT Huynh, RP Norris, XR Wang, E Hopkins, K Polsterer, ... Monthly Notices of the Royal Astronomical Society 497 (3), 2730-2758, 2020 | 47 | 2020 |
Return of the features-Efficient feature selection and interpretation for photometric redshifts A D’Isanto, S Cavuoti, F Gieseke, KL Polsterer Astronomy & Astrophysics 616, A97, 2018 | 38 | 2018 |
LUCIFER status report: summer 2008 H Mandel, W Seifert, R Hofmann, M Jütte, R Lenzen, N Ageorges, ... Ground-based and Airborne Instrumentation for Astronomy II 7014, 1329-1337, 2008 | 37* | 2008 |
Unveiling the rarest morphologies of the LOFAR Two-metre Sky Survey radio source population with self-organised maps RIJ Mostert, KJ Duncan, HJA Röttgering, KL Polsterer, PN Best, M Brienza, ... Astronomy & Astrophysics 645, A89, 2021 | 36 | 2021 |
The NIR spectrograph LUCIFER for the LBT W Seifert, I Appenzeller, H Baumeister, P Bizenberger, D Bomans, ... SPIE proceedings 4841, 962-973, 2003 | 33 | 2003 |
Automatic galaxy classification via machine learning techniques: Parallelized rotation/flipping INvariant Kohonen maps (PINK) KL Polsterer, F Gieseke, C Igel Astronomical data analysis software an systems XXIV (ADASS XXIV) 495, 2015 | 31 | 2015 |
Finding new high-redshift quasars by asking the neighbours KL Polsterer, PC Zinn, F Gieseke Monthly Notices of the Royal Astronomical Society 428 (1), 226-235, 2013 | 31 | 2013 |
A comparison of photometric redshift techniques for large radio surveys RP Norris, M Salvato, G Longo, M Brescia, T Budavari, S Carliles, ... Publications of the Astronomical Society of the Pacific 131 (1004), 108004, 2019 | 29 | 2019 |
The LUCIFER MOS: a full cryogenic mask handling unit for a near-infrared multi-object spectrograph P Buschkamp, R Hofmann, H Gemperlein, K Polsterer, N Ageorges, ... Ground-based and Airborne Instrumentation for Astronomy III 7735, 2572-2583, 2010 | 29 | 2010 |
Optical continuum photometric reverberation mapping of the Seyfert-1 galaxy Mrk509 F Pozo Nuñez, N Gianniotis, J Blex, T Lisow, R Chini, KL Polsterer, ... Monthly Notices of the Royal Astronomical Society 490 (3), 3936-3951, 2019 | 28 | 2019 |
Radio galaxy zoo: Knowledge transfer using rotationally invariant self-organizing maps TJ Galvin, M Huynh, RP Norris, XR Wang, E Hopkins, OI Wong, ... Publications of the Astronomical Society of the Pacific 131 (1004), 108009, 2019 | 25 | 2019 |
LUCI in the sky: performance and lessons learned in the first two years of near-infrared multi-object spectroscopy at the LBT P Buschkamp, W Seifert, K Polsterer, R Hofmann, H Gemperlein, ... Ground-based and Airborne Instrumentation for Astronomy IV 8446, 1918-1928, 2012 | 25 | 2012 |
Infrared Narrowband Tomography of the Local Starburst NGC 1569 with the Large Binocular Telescope/LUCIFER A Pasquali, A Bik, S Zibetti, N Ageorges, W Seifert, W Brandner, HW Rix, ... The Astronomical Journal 141 (4), 132, 2011 | 24 | 2011 |
Model-coupled autoencoder for time series visualisation N Gianniotis, SD Kügler, P Tiňo, KL Polsterer Neurocomputing 192, 139-146, 2016 | 19 | 2016 |
Improving the performance of photometric regression models via massive parallel feature selection KL Polsterer, F Gieseke, C Igel, T Goto Proceedings of the 23rd Annual Astronomical Data Analysis Software & Systems …, 2013 | 19 | 2013 |