CONRAD—A low level germanium test detector for the CONUS experiment von Hakenmüller, Janina, Heusser, Gerd

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Monte Carlo simulation of background components in low level Germanium spectrometry von Ackermann, Nicola, Bonet, Hannes, Buck, Christian, Chkvorets, Oleg, Hakenmüller, Janina, Heusser, Gerd, Laubenstein, Matthias, Lindner, Manfred, Maneschg, Werner, Schreiner, Jochen, Strecker, Herbert

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The Renchen L5-6 chondrite breccia – The first confirmed meteorite fall from Baden-Württemberg (Germany) von Bischoff, Addi, Barrat, Jean-Alix, Berndt, Jasper, Borovicka, Jiri, Burkhardt, Christoph, Busemann, Henner, Hakenmüller, Janina, Heinlein, Dieter, Hertzog, Jasmine, Kaiser, Jozef, Maden, Colin, Meier, Matthias M.M., Morino, Précillia, Pack, Andreas, Patzek, Markus, Reitze, Maximilian P., Rüfenacht, Miriam, Schmitt-Kopplin, Philippe, Schönbächler, Maria, Spurný, Pavel, Weber, Iris, Wimmer, Karl, Zikmund, Tomas

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The Stubenberg meteorite—An LL6 chondrite fragmental breccia recovered soon after precise prediction of the strewn field von Bischoff, Addi, Barrat, Jean‐Alix, Bauer, Kerstin, Burkhardt, Christoph, Busemann, Henner, Ebert, Samuel, Gonsior, Michael, Hakenmüller, Janina, Haloda, Jakub, Harries, Dennis, Heinlein, Dieter, Hiesinger, Harald, Hochleitner, Rupert, Hoffmann, Viktor, Kaliwoda, Melanie, Laubenstein, Matthias, Maden, Colin, Meier, Matthias M. M., Morlok, Andreas, Pack, Andreas, Ruf, Alexander, Schmitt‐Kopplin, Philippe, Schönbächler, Maria, Steele, Robert C. J., Spurný, Pavel, Wimmer, Karl

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Applications of Deep Learning to physics workflows von Agarwal, Manan, Alameda, Jay, Audenaert, Jeroen, Benoit, Will, Beveridge, Damon, Bhattacharya, Meghna, Chatterjee, Chayan, Chatterjee, Deep, Chen, Andy, Cholayil, Muhammed Saleem, Chou, Chia-Jui, Choudhary, Sunil, Coughlin, Michael, Dax, Maximilian, Desai, Aman, Di Luca, Andrea, Duarte, Javier Mauricio, Farrell, Steven, Feng, Yongbin, Goodarzi, Pooyan, Govorkova, Ekaterina, Graham, Matthew, Guiang, Jonathan, Gunny, Alec, Guo, Weichangfeng, Hakenmueller, Janina, Hawks, Ben, Hsu, Shih-Chieh, Jawahar, Pratik, Ju, Xiangyang, Katsavounidis, Erik, Kellis, Manolis, Khoda, Elham E, Lahbabi, Fatima Zahra, Lian, Van Tha Bik, Liu, Mia, Malanchev, Konstantin, Marx, Ethan, McCormack, William Patrick, McLeod, Alistair, Mo, Geoffrey, Moreno, Eric Anton, Muthukrishna, Daniel, Narayan, Gautham, Naylor, Andrew, Neubauer, Mark, Norman, Michael, Omer, Rafia, Pedro, Kevin, Peterson, Joshua, Pürrer, Michael, Raikman, Ryan, Raj, Shivam, Ricker, George, Robbins, Jared, Samani, Batool Safarzadeh, Scholberg, Kate, Schuy, Alex, Skliris, Vasileios, Soni, Siddharth, Sravan, Niharika, Sutton, Patrick, Villar, Victoria Ashley, Wang, Xiwei, Wen, Linqing, Wuerthwein, Frank, Yang, Tingjun, Yeh, Shu-Wei

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Applications of Deep Learning to physics workflows von Agarwal, Manan, Alameda, Jay, Audenaert, Jeroen, Benoit, Will, Beveridge, Damon, Bhattacharya, Meghna, Chatterjee, Chayan, Chatterjee, Deep, Chen, Andy, Muhammed Saleem Cholayil, Chou, Chia-Jui, Choudhary, Sunil, Coughlin, Michael, Dax, Maximilian, Desai, Aman, Andrea Di Luca, Duarte, Javier Mauricio, Farrell, Steven, Feng, Yongbin, Goodarzi, Pooyan, Govorkova, Ekaterina, Graham, Matthew, Guiang, Jonathan, Gunny, Alec, Guo, Weichangfeng, Hakenmueller, Janina, Hawks, Ben, Hsu, Shih-Chieh, Jawahar, Pratik, Ju, Xiangyang, Katsavounidis, Erik, Kellis, Manolis, Khoda, Elham E, Fatima Zahra Lahbabi, Van Tha Bik Lian, Liu, Mia, Malanchev, Konstantin, Marx, Ethan, McCormack, William Patrick, McLeod, Alistair, Mo, Geoffrey, Eric Anton Moreno, Muthukrishna, Daniel, Narayan, Gautham, Naylor, Andrew, Neubauer, Mark, Norman, Michael, Omer, Rafia, Pedro, Kevin, Peterson, Joshua, Pürrer, Michael, Ryan Raikman, Shivam Raj, Ricker, George, Robbins, Jared, Batool Safarzadeh Samani, Scholberg, Kate, Schuy, Alex, Skliris, Vasileios, Soni, Siddharth, Sravan, Niharika, Sutton, Patrick, Villar, Victoria Ashley, Wang, Xiwei, Wen, Linqing, Wuerthwein, Frank, Yang, Tingjun, Shu-Wei Yeh

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