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JH

J. K. Hoormann

astro-ph.COastro-ph.GAastro-ph.HEastro-ph.IM

On Valency

published · living versions
W_2zyqujkb·v1 · currentpublished
Rapidly evolving transients in the Dark Energy Survey
with M. Pursiainen, M. Childress, M. Smith, S. Prajs +77
1 version

Preprints & journals

24 papers in the corpus · 2009–2021
OzDES Reverberation Mapping Program: Lag recovery reliability for 6-year CIV analysis2101.06921v2 · Andrew Penton, Umang Malik, Tamara Davis et al.2021 · 17 citationsarXiv
The first Hubble diagram and cosmological constraints using superluminous supernova2004.12218v2 · C. Inserra, M. Sullivan, C. R. Angus et al.2020 · 26 citationsarXiv
Cosmological Constraints from Multiple Probes in the Dark Energy Survey.31107093 · Abbott, T M C, Alarcon, A, Allam, S et al.2019 · 107 citationsPhysical review letters. 2019;122(17):171301
CIV Black Hole Mass Measurements with the Australian Dark Energy Survey (OzDES)1902.04206v2 · J. K. Hoormann, P. Martini, T. M. Davis et al.2019 · 53 citationsarXiv
Quasar Accretion Disk Sizes from Continuum Reverberation Mapping in the DES Standard Star Fields1811.03638v2 · Zhefu Yu, Paul Martini, T. M. Davis et al.2018 · 63 citationsThe Astrophysical Journal Supplement Series, 246:16 (27pp), 2020
First Cosmology Results using Type Ia Supernovae from the Dark Energy Survey: Constraints on Cosmological Parameters1811.02374v4 · T. M. C. Abbott, S. Allam, P. Andersen et al.2018 · 273 citationshttps://ui.adsabs.harvard.edu/abs/2019ApJ...872L..30A
First Cosmology Results Using Type Ia Supernovae From the Dark Energy Survey: Analysis, Systematic Uncertainties, and Validation1811.02377v5 · D. Brout, D. Scolnic, R. Kessler et al.2018 · 133 citationsThe Astrophysical Journal, Volume 874, Issue 2, article id. 150, 29 pp. (2019)
First Cosmology Results using Type Ia Supernova from the Dark Energy Survey: Simulations to Correct Supernova Distance Biases1811.02379v4 · R. Kessler, D. Brout, C. B. D'Andrea et al.2018 · 90 citationshttps://ui.adsabs.harvard.edu/abs/2019MNRAS.485.1171K
Rapidly evolving transients in the Dark Energy Survey1803.04869v2 · M. Pursiainen, M. Childress, M. Smith et al.2018 · 160 citationsarXivon Valency
DES Science Portal: Computing Photometric Redshifts1708.05643v3 · Julia Gschwend, Aurelio Carnero Rosell, Ricardo Ogando et al.2017 · 26 citations2018A&C....25...58G
OzDES multifibre spectroscopy for the Dark Energy Survey: Three year results and first data release1708.04526v1 · M. J. Childress, C. Lidman, T. M. Davis et al.2017 · 94 citationsarXiv
Dark Energy Survey Year 1 Results: Redshift distributions of the weak lensing source galaxies1708.01532v2 · B. Hoyle, D. Gruen, G. M. Bernstein et al.2017 · 200 citationsarXiv
Dark Energy Survey Year 1 Results: Galaxy clustering for combined probes1708.01536v2 · J. Elvin-Poole, M. Crocce, A. J. Ross et al.2017 · 151 citationsPhys. Rev. D 98, 042006 (2018)
Testing General Relativity's No-Hair Theorem with X-Ray Observations of Black Holes1601.02055v1 · Janie K. Hoormann, Banafsheh Beheshtipour, Henric Krawczynski2016 · 25 citationsarXiv
X-Ray Polarimetry with the Polarization Spectroscopic Telescope Array (PolSTAR)1510.08358v1 · Henric S. Krawczynski, Daniel Stern, Fiona A. Harrison et al.2015 · 56 citationsarXiv
Role of ataxia telangiectasia mutated in insulin signalling of muscle-derived cell lines and mouse soleus.20003097 · Jeong, I, Patel, A Y, Zhang, Z et al.2010 · 16 citationsActa physiologica (Oxford, England). 2010;198(4):465-75
Career total: 49 works. 24 are in this corpus.

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