Sargeant, H. M.; Bickel, V. T.; Honniball, C. I.; Martinez, S. N.; Ro-gaski, A.; Bell, S. K.; Czaplinski, E. C.; Farrant, B. E.; Harrington, E. M.; Tolometti, G. D.et al.; Kring, D. A.: Determining the Bearing Capacity of Permanently Shadowed Regions of the Moon using Boulder Tracks. 50th Lunar and Planetary Science Conference, The Woodlands, Texas, USA (2019)
Bickel, V. T.; Honniball, C. I.; Martinez, S.; Rogaski, A.; Sargeant, H. M.; Bell, S. K.; Czaplinski, E.; Farrant, B. E.; Harrington, E. M.; Tolometti, G. D.et al.; Kring, D. A.: Analysis of Lunar Boulder Tracks: Implications for Trafficability of Pyroclastic Deposits and Permanently Shadowed Regions. AGU Fall Meeting, Washington, D.C., USA (2018)
Bickel, V. T.; Valantinas, A.: The Search for Lunar Present-day Tectonic Activity using LO and LRO Images. 52nd Lunar and Planetary Science Conference , online (2021)
Gao, A.; Daubar, I. J.; Wexler, D.; Wagstaff, K. L.; Bickel, V. T.; Doran, G.: Using machine learning to complement new martian crater inventories. 52nd Lunar and Planetary Science Conference , online (2021)
Moseley, B.; Bickel, V. T.; López-Francos, I. G.; Rana, L.; Olivares-Mendez, M.; Wingo, D.; Zuniga, A.; Subtil, N.: Low-light image enhancement of permanently shadowedlunar regions with physics-based machine learning. Third Workshop on Machine Learning and the Physical Sciences (NeurIPS) , Vancouver, Canada (2020)
Bickel, V. T.; Law, E.S.; Day, B.H.: A Big Lunar Data Application: Deep Learning-Driven Rockfall Detection and Mapping with NASA's Moon Trek. NASA Exploration Science Forum 2019, Mountain View, CA, USA (2019)
Bickel, V. T.; Manconi, A.; Loew, S.; Mall, U.: Entering Schrödinger’s Pyroclastic Vent and PSR: A Trafficability Analysis for the next Generation of Lunar Exploration Rovers. EGU General Assembly 2019, Vienna, Austria (2019)
Mall, U.; Kloskowski, D.; Schmidt, H.; Bickel, V. T.; Basilevsky, A.; Bugiolacchi, R.: On the variability of lunar soil properties – bearing capacity. EGU General Assembly 2019, Vienna, Austria (2019)
Bickel, V. T.; Honniball, C. I.; Martinez, S. N.; Rogaski, A.; Sargeant, H. M.; Bell, S. K.; Czaplinski, E. C.; Farrant, B. E.; Harrington, E. M.; Tolometti, G. D.et al.; Kring, D. A.: Analysis of Lunar Boulder Tracks: Implications for Rover Mobility on Pyroclastic Deposits. 50th Lunar and Planetary Science Conference, The Woodlands, Texas, USA (2019)
Farrant, B. E.; Bell, S. K.; Czaplinski, E. C.; Harrington, E. M.; Tolometti, G. D.; Bickel, V. T.; Honniball, C. I.; Martinez, S. N.; Rogaski, A.; Sargeant, H. M.et al.; Kring, D. A.; .: Geologic Map and Potential Rover Traverses for Human-Assisted Sample Return Missions to the Schrödinger Basin, Lunar Farside. 50th Lunar and Planetary Science Conference, The Woodlands, Texas, USA (2019)
Bickel, V. T.; Lanaras, C.; Manconi, A.; Loew, S.; Mall, U.: Automated Detection and Mapping of lunar Rockfalls using a CNN. 1st Swiss “Workshop on Machine Learning for Environmental and Geosciences” (MLEG2019), Dübendorf, Switzerland (2019)
Bickel, V. T.; Lanaras, C.; Manconi, A.; Loew, S.; Mall, U.: Automated detection of lunar rockfalls using a Convolutional Neural Network. AGU Fall Meeting, Washington, D.C., USA (2018)
Bickel, V. T.; Manconi, A.; Amann, F.: Quantitative validation of DIC algorithms for slope instability detection and monitoring. European Geosciences Union: General Assembly 2018, Vienna, Austria (2018)
Bickel, V. T.; Manconi, A.; Loew, S.; Mall, U.: Automatic Detection of Rockfalls with Deep Neural Networks: Lessons learned on the Moon and Mars. ESA Living Planet Symposium, Milan, Italy (2018)
Mall, U.; Schmidt , H.; Kloskowski, D.; Bickel, V. T.; Bugiolacchi, R.: Lunar Rock Boulders as a Tool in comparative Planetology to investigate Rock Weathering. 7th European Lunar Symposium , Manchester, U.K. (2018)
Sargeant, H. M.; Bickel, V. T.; Honniball, C. I.; Martinez, S. N.; Rogaski, A.; Bell, S. K.; Czaplinski, E. C.; Farrant, B. E.; Harrington, E. M.; Tolometti, G. D.: Determining the Trafficability of Pyroclastic Deposits and Permanently Shadowed Regions of the Moon Using Boulder Tracks. Lunar ISRU 2019, Columbia, Maryland, USA (2018)
Application deadline 1 October 2024. PhD projects in planetary science, solar and stellar physics, solar magnetism, heliophysics, helioseismology, asteroseismology, ...
First Light for Sunrise III: the first tests with real sunlight were successful. The balloon-borne solar observatory should be ready for launch at the end of May.
In analyzing solar observations from the 19th century, scientists are turning to amateur researchers for help. The project will allow to better understand the history of our star.
Astronomical teamwork: By combining data from Solar Orbiter and SDO, a group of researchers has unambiguously determined the magnetic field at the solar surface.
Application deadline 1 October 2023. PhD projects in planetary science, solar and stellar physics, solar magnetism, heliophysics, helioseismology, asteroseismology, ...
Philipp Löschl has co-authored an excellent publication on Solar Orbiter data which has been awarded best Solar Physics paper of 2022 (Gherardo Valori et al. 2022)