Anzahl der Publikationen: 12
2022
Orlando, Elena; Bottacini, Eugenio; Moiseev, A. A.; Bodaghee, Arash; Collmar, Werner; Ensslin, Torsten; Moskalenko, Igor V.; Negro, Michela; Profumo, Stefano; Digel, Seth W.; Thompson, David J.; Baring, Matthew G.; Bolotnikov, Aleksey; Cannady, Nicholas; Carini, Gabriella A.; Eberle, Vincent; Grenier, Isabelle A.; Harding, Alice K.; Hartmann, Dieter; Herrmann, Sven; Kerr, Matthew; Krivonos, Roman; Laurent, Philippe; Longo, Francesco; Morselli, Aldo; Philips, Bernard; Sasaki, Makoto; Shawhan, Peter; Shy, Daniel; Skinner, Gerry; Smith, Lucas D.; Stecker, Floyd W.; Strong, Andrew; Sturner, Steven; Tomsick, John A.; Wadiasingh, Zorawar; Woolf, Richard S.; Yates, Eric; Ziock, Klaus-Peter und Zoglauer, Andreas
(2022):
Exploring the MeV sky with a combined coded mask and Compton telescope: the Galactic Explorer with a Coded aperture mask Compton telescope (GECCO).
In: Journal of Cosmology and Astroparticle Physics, Nr. 7, 36
Guardiani, Matteo; Frank, Philipp; Kostic, Andrija; Edenhofer, Gordian; Roth, Jakob; Uhlmann, Berit und Ensslin, Torsten
(2022):
Causal, Bayesian, & non-parametric modeling of the SARS-CoV-2 viral load distribution vs. patient's age.
In: PLOS One
17(10), e0275011
2021
Bialy, Shmuel; Zucker, Catherine; Goodman, Alyssa; Foley, Michael M.; Alves, Joao; Semenov, Vadim A.; Benjamin, Robert; Leike, Reimar und Ensslin, Torsten
(2021):
The Per-Tau Shell: A Giant Star-forming Spherical Shell Revealed by 3D Dust Observations.
In: Astrophysical Journal Letters, Bd. 919, Nr. 1, L5
Zucker, Catherine; Goodman, Alyssa; Alves, Joao; Bialy, Shmuel; Koch, Eric W.; Speagle, Joshua S.; Foley, Michael M.; Finkbeiner, Douglas; Leike, Reimar; Ensslin, Torsten; Peek, Joshua E. G. und Edenhofer, Gordian
(2021):
On the Three-dimensional Structure of Local Molecular Clouds.
In: Astrophysical Journal, Bd. 919, Nr. 1, 35
2019
Steininger, Theo; Dixit, Jait; Frank, Philipp; Greiner, Maksim; Hutschenreuter, Sebastian; Knollmüller, Jakob; Leike, Reimar; Porqueres, Natalia; Pumpe, Daniel; Reinecke, Martin; Sraml, Matevz; Varady, Csongor und Ensslin, Torsten
(2019):
NIFTy 3-Numerical Information Field Theory: A Python Framework for Multicomponent Signal Inference on HPC Clusters.
In: Annalen der Physik, Bd. 531, Nr. 3, 1800290
2018
2016
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Sat Nov 23 23:35:36 2024 CET
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