SS
S. Seitz
astro-ph.COastro-ph.GAastro-phastro-ph.IMastro-ph.SRastro-ph.HEastro-ph.EPcs.LG
On Valency
published · living versionsW_67vmgbjs·v1 · currentpublished
The Pan-STARRS1 Surveys
with K. C. Chambers, E. A. Magnier, N. Metcalfe, H. A. Flewelling +121
1 version
W_ggnhn9y4·v1published
Preprints & journals
121 papers in the corpus · 1996–2026Euclid Quick Data Release (Q1). The Strong Lensing Discovery Engine F -- Bright and low-redshift strong lenses2603.28580v1 · L. R. Ecker, M. Fabricius, S. Seitz et al.2026 · 1 citationarXiv
C3NN-SBI: Learning Hierarchies of -Point Statistics from Cosmological Fields with Physics-Informed Neural Networks2602.16768v1 · Kai Lehman, Zhengyangguang Gong, David Gebauer et al.2026 · 0 citationsarXiv
Simulation-based inference with the integrated 3PCF2510.13805v3 · David Gebauer, Anik Halder, Stella Seitz et al.2025 · 0 citationsJCAP06(2026)036
C3NN: Cosmological Correlator Convolutional Neural Network -- an interpretable machine learning tool for cosmological analyses2402.09526v1 · Zhengyangguang Gong, Anik Halder, Annabelle Bohrdt et al.2024 · 0 citationsarXiv
Time Delay Cosmography: Analysis of Quadruply Lensed QSO SDSSJ1433 from Wendelstein Observatory2312.09311v1 · G. Queirolo, S. Seitz, A. Riffeser et al.2023 · 1 citationMon Not R Astron Soc (2025) 170-202
Beyond 3$\times$2-point cosmology: the integrated shear and galaxy 3-point correlation functions2305.17132v1 · Anik Halder, Zhengyangguang Gong, Alexandre Barreira et al.2023 · 0 citationsarXiv
Cosmology from the integrated shear 3-point correlation function: simulated likelihood analyses with machine-learning emulators2304.01187v2 · Zhengyangguang Gong, Anik Halder, Alexandre Barreira et al.2023 · 18 citationsJCAP07(2023)040
CLASH-VLT: Abell~S1063. Cluster assembly history and spectroscopic catalogue2109.03305v2 · A. Mercurio, P. Rosati, A. Biviano et al.2021 · 46 citationsA&A 656, A147 (2021)
Dark Energy Survey Year 3 results: Galaxy-halo connection from galaxy-galaxy lensing2106.08438v2 · G. Zacharegkas, C. Chang, J. Prat et al.2021 · 37 citationsarXiv
Synthetic Galaxy Clusters and Observations Based on Dark Energy Survey Year 3 Data2102.10414v2 · T. N. Varga, D. Gruen, S. Seitz et al.2021 · 3 citationsarXiv
The integrated 3-point correlation function of cosmic shear2102.10177v2 · Anik Halder, Oliver Friedrich, Stella Seitz et al.2021 · 41 citationsarXiv
The KMOS^3D Survey: data release and final survey paper1909.11096v1 · E. Wisnioski, N.M. Forster Schreiber, M. Fossati et al.2019 · 158 citationsarXiv
Dark Energy Survey Year 1 Results: Wide field mass maps via forward fitting in harmonic space1905.12682v1 · B. Mawdsley, D. Bacon, C. Chang et al.2019 · 12 citationsarXiv
Dark Energy Survey Year 1 results: Validation of weak lensing cluster member contamination estimates from P(z) decomposition1812.05116v1 · T. N. Varga, J. DeRose, D. Gruen et al.2018 · 42 citationsarXiv
M31 PAndromeda Cepheid sample observed in four HST bands1807.08753v1 · Mihael Kodric, Arno Riffeser, Stella Seitz et al.2018 · 6 citationsarXiv
The Wendelstein Weak Lensing (WWL) pathfinder: Accurate weak lensing masses for Planck clusters1806.10614v1 · Romy Louise Rehmann, Daniel Gruen, Stella Seitz et al.2018 · 3 citationsarXiv
Cepheids in M31 - The PAndromeda Cepheid sample1806.07895v1 · Mihael Kodric, Arno Riffeser, Ulrich Hopp et al.2018 · 26 citationsarXiv
Dark Energy Survey Year 1 Results: Weak Lensing Mass Calibration of redMaPPer Galaxy Clusters1805.00039v2 · T. McClintock, T. N. Varga, D. Gruen et al.2018 · 237 citationsarXiv
Improving Weak Lensing Mass Map Reconstructions using Gaussian and Sparsity Priors: Application to DES SV1801.08945v2 · N. Jeffrey, F. B. Abdalla, O. Lahav et al.2018 · 51 citationsarXiv
Density split statistics: joint model of counts and lensing in cells1710.05162v4 · O. Friedrich, D. Gruen, J. DeRose et al.2017 · 97 citationsPhys. Rev. D 98, 023508 (2018)
NGC 307 and the Effects of Dark-Matter Haloes on Measuring Supermassive Black Holes in Disc Galaxies1709.08956v1 · Peter Erwin, Jens Thomas, Roberto P. Saglia et al.2017 · 11 citationsarXiv
Mass distribution in the core of MACS J1206: robust modeling from an exceptionally large sample of central multiple images1707.00690v2 · G. B. Caminha, C. Grillo, P. Rosati et al.2017 · 75 citationsA&A 607, A93 (2017)
CLASH: Accurate Photometric Redshifts with 14 HST bands in Massive Galaxy Cluster Cores1705.02265v2 · A. Molino, N. Ben'itez, B. Ascaso et al.2017 · 55 citationsMonthly Notices of the Royal Astronomical Society, Volume 470, Issue 1, p.95-113. 08/2017
Falling outer rotation curves of star-forming galaxies at 0.6 < z < 2.6 probed with KMOS^3D and SINS/ZC-SINF1703.05491v1 · P. Lang, N.M. Forster Schreiber, R. Genzel et al.2017 · 112 citationsarXiv
The evolution of the Tully-Fisher relation between z~2.3 and z~0.9 with KMOS^3D1703.04321v2 · H. Ubler, N.M. Forster Schreiber, R. Genzel et al.2017 · 106 citationsarXiv
A Very Large (") Strong Gravitational Lens Selected with the Sunyaev-Zel'dovich Effect: PLCK G287.0+32.9 ( = 0.38)1702.05090v2 · Adi Zitrin, Stella Seitz, Anna Monna et al.2017 · 26 citationsarXiv
The Pan-STARRS1 Surveys1612.05560v4 · K. C. Chambers, E. A. Magnier, N. Metcalfe et al.2016 · 1,319 citationsarXivon Valency
Correcting cosmological parameter biases for all redshift surveys induced by estimating and reweighting redshift distributions1607.00383v2 · Markus Michael Rau, Ben Hoyle, Kerstin Paech et al.2016 · 9 citationsarXiv
Precise strong lensing mass profile of the CLASH galaxy cluster MACS 21291605.08784v2 · A. Monna, S. Seitz, I. Balestra et al.2016 · 29 citationsarXiv
Separating Galaxies from the Cluster Dark Matter Halo in Abell 6111602.08491v2 · A. Monna, S. Seitz, M. J. Geller et al.2016 · 21 citationsMonthly Notices of the Royal Astronomical Society 465 (4): 4589-4601 (2016)
Stacking for machine learning redshifts applied to SDSS galaxies1602.06294v2 · Roman Zitlau, Ben Hoyle, Kerstin Paech et al.2016 · 25 citationsarXiv
Comparing Dark Energy Survey and HST-CLASH observations of the galaxy cluster RXC J2248.7-4431: implications for stellar mass versus dark matter1601.00589v2 · A. Palmese, O. Lahav, M. Banerji et al.2016 · 18 citationsarXiv
CLASH-VLT: A Highly Precise Strong Lensing Model of the Galaxy Cluster RXC J2248.7-4431 (Abell S1063) and Prospects for Cosmography1512.04555v1 · G. B. Caminha, C. Grillo, P. Rosati et al.2015 · 147 citationsA&A 587, A80 (2016)
The Detection and Statistics of Giant Arcs Behind CLASH Clusters1511.04002v1 · Bingxiao Xu, Marc Postman, Massimo Meneghetti et al.2015 · 28 citationsarXiv
CLASH-VLT: Dissecting the Frontier Fields Galaxy Cluster MACS J0416.1-2403 with Spectra of Member Galaxies1511.02522v2 · I. Balestra, A. Mercurio, B. Sartoris et al.2015 · 127 citationsarXiv
Tuning target selection algorithms to improve galaxy redshift estimates1508.06280v2 · Ben Hoyle, Kerstin Paech, Markus Michael Rau et al.2015 · 7 citationsarXiv
Performance of internal Covariance Estimators for Cosmic Shear Correlation Functions1508.00895v2 · O. Friedrich, S. Seitz, T. F. Eifler et al.2015 · 67 citationsMonthly Notices of the Royal Astronomical Society, 2016, Volume 456, Issue 3, p.2662-2680
Weak lensing by galaxy troughs in DES Science Verification data1507.05090v2 · D. Gruen, O. Friedrich, A. Amara et al.2015 · 93 citationsarXiv
Anomaly detection for machine learning redshifts applied to SDSS galaxies1503.08214v2 · Ben Hoyle, Markus Michael Rau, Kerstin Paech et al.2015 · 66 citationsarXiv
Accurate photometric redshift probability density estimation - method comparison and application1503.08215v2 · Markus Michael Rau, Stella Seitz, Fabrice Brimioulle et al.2015 · 59 citationsarXiv
Data augmentation for machine learning redshifts applied to SDSS galaxies1501.06759v2 · Ben Hoyle, Markus Michael Rau, Christopher Bonnett et al.2015 · 39 citationsarXiv
Characterization and correction of charge-induced pixel shifts in DECam1501.02802v3 · Daniel Gruen, Gary M. Bernstein, Mike Jarvis et al.2015 · 78 citationsJournal of Instrumentation, 10, 05, C05032 (2015)
Environment-based selection effects of Planck clusters1501.02840v1 · Ralf Kosyra, Daniel Gruen, Stella Seitz et al.2015 · 2 citationsarXiv
Cosmic variance of the galaxy cluster weak lensing signal1501.01632v1 · D. Gruen, S. Seitz, M. R. Becker et al.2015 · 58 citationsarXiv
Constraining the galaxy mass content in the core of A383 using velocity dispersion measurements for individual cluster members1412.0023v1 · A. Monna, S. Seitz, A. Zitrin et al.2014 · 36 citationsarXiv
Brightest X-ray clusters of galaxies in the CFHTLS wide fields: Catalog and optical mass estimator1411.3326v1 · M. Mirkazemi, A. Finoguenov, M. J. Pereira et al.2014 · 23 citationsarXiv
Properties of M31. V: 298 Eclipsing Binaries from PAndromeda1411.1115v1 · C.-H. Lee, J. Koppenhoefer, S. Seitz et al.2014 · 20 citationsarXiv
Feature importance for machine learning redshifts applied to SDSS galaxies1410.4696v4 · Ben Hoyle, Markus Michael Rau, Roman Zitlau et al.2014 · 59 citationsarXiv
The KMOS^3D Survey: design, first results, and the evolution of galaxy kinematics from 0.7<z<2.71409.6791v2 · E. Wisnioski, N.M. Forster Schreiber, S. Wuyts et al.2014 · 580 citationsarXiv
The 64 Mpixel wide field imager for the Wendelstein 2m Telescope: Design and Calibration1408.2519v1 · Ralf Kosyra, Claus Goessl, Ulrich Hopp et al.2014 · 26 citationsarXiv
Career total: 247 works. 121 are in this corpus.Showing the 50 most recent.
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