Zobrazeno 1 - 10
of 47 912
pro vyhledávání: '"Schlegel, A"'
Der Wandel von konventionellen Antriebskonzepten hin zu Alternativen wie der Brennstoffzellentechnologie vollzieht sich in einem sehr dynamischen Umfeld. Entsprechend komplex gestaltet sich die Problemstellung, eine Fabrik zum gegenwärtigen Zeitpunk
Autor:
Boch, Ralph, Hempel, Nadja, Hofmann, Florian, Jaeger-Erben, Melanie, Lersch, Barbara, Schlegel, Adrian
Der Umgang mit Ressourcen baut im aktuellen Produktions- und Konsumsystem auf preiswerten Naturverbrauch und globale soziale Missstände. Um tiefgreifende Lösungen für die dringendsten Herausforderungen des 21. Jahrhunderts zu erreichen, ist eine U
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A79659
https://tud.qucosa.de/api/qucosa%3A79659/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A79659/attachment/ATT-0/
We present X-ray spectroscopy of the SU UMa-type dwarf nova (DN) Z Cha using the EPIC and RGS instruments onboard the XMM-Newton Observatory. The quiescent system can be modeled by collisional equilibrium or nonequilibrium plasma models, yielding a k
Externí odkaz:
http://arxiv.org/abs/2410.14526
Autor:
Dwivedi, Vijay Prakash, Schlegel, Viktor, Liu, Andy T., Nguyen, Thanh-Tung, Kashyap, Abhinav Ramesh, Wei, Jeng, Yin, Wei-Hsian, Winkler, Stefan, Tan, Robby T.
Large Language Models (LLMs) have demonstrated remarkable performance across various domains, including healthcare. However, their ability to effectively represent structured non-textual data, such as the alphanumeric medical codes used in records li
Externí odkaz:
http://arxiv.org/abs/2410.13351
Autor:
Qu, Frank J., Hang, Qianjun, Farren, Gerrit, Bolliet, Boris, Aguilar, Jessica Nicole, Ahlen, Steven, Alam, Shadab, Brooks, David, Cai, Yan-Chuan, Calabrese, Erminia, Claybaugh, Todd, de la Macorra, Axel, Devlin, Mark J., Doel, Peter, Embil-Villagra, Carmen, Ferraro, Simone, Font-Ribera, Andreu, Forero-Romero, Jaime E., Gaztañaga, Enrique, Gluscevic, Vera, Gontcho, Satya Gontcho A, Gutierrez, Gaston, Howlett, Cullan, Kehoe, Robert, Kim, Joshua, Kremin, Anthony, Lambert, Andrew, Landriau, Martin, Guillou, Laurent Le, Levi, Michael, Louis, Thibaut, Meisner, Aaron, Miquel, Ramon, Moustakas, John, Newman, Jeffrey A., Niz, Gustavo, Peacock, John, Percival, Will, Poppett, Claire, Prada, Francisco, Pérez-Ràfols, Ignasi, Rossi, Graziano, Sanchez, Eusebio, Schlegel, David, Sehgal, Neelima, Shaikh, Shabbir, Sherwin, Blake, Sifón, Cristóbal, Schubnell, Michael, Sprayberry, David, Tarlé, Gregory, Weaver, Benjamin Alan, Wollack, Edward J., Zou, Hu
We measure the growth of cosmic density fluctuations on large scales and across the redshift range $0.3
Externí odkaz:
http://arxiv.org/abs/2410.10808
Autor:
Byström, Amanda, Koposov, Sergey E., Lilleengen, Sophia, Li, Ting S., Bell, Eric, Silva, Leandro Beraldo e, Carrillo, Andreia, Chandra, Vedant, Gnedin, Oleg Y., Han, Jiwon Jesse, Medina, Gustavo E., Najita, Joan, Riley, Alexander H., Thomas, Guillaume, Valluri, Monica, Aguilar, Jessica N., Ahlen, Steven, Prieto, Carlos Allende, Brooks, David, Claybaugh, Todd, Cole, Shaun, Dawson, Kyle, de la Macorra, Axel, Font-Ribera, Andreu, Forero-Romero, Jaime E., Gaztañaga, Enrique, Gontcho, Satya Gontcho A, Kremin, Anthony, Lambert, Andrew, Landriau, Martin, Guillou, Laurent Le, Levi, Michael E., Meisner, Aaron, Miquel, Ramon, Moustakas, John, Prada, Francisco, Pérez-Ràfols, Ignasi, Rossi, Graziano, Sanchez, Eusebio, Schlegel, David, Schubnell, Michael, Sprayberry, David, Tarlé, Gregory, Weaver, Benjamin A., Zou, Hu
The Large Magellanic Cloud (LMC) is a Milky Way (MW) satellite that is massive enough to gravitationally attract the MW disc and inner halo, causing significant motion of the inner MW with respect to the outer halo. In this work, we probe this intera
Externí odkaz:
http://arxiv.org/abs/2410.09149
Autor:
Payerne, C., Doumerg, W. d'Assignies, Yèche, C., Ruhlmann-Kleider, V., Raichoor, A., Lang, D., Aguilar, J. N., Ahlen, S., Bianchi, D., Brooks, D., Claybaugh, T., Cole, S., de la Macorra, A., Dey, B., Doel, P., Font-Ribera, A., Forero-Romero, J. E., Gontcho, S. Gontcho A, Gutierrez, G., Honscheid, K., Juneau, S., Lambert, A., Landriau, M., Guillou, L. Le, Levi, M. E., Magneville, C., Manera, M., Meisner, A., Miquel, R., Moustakas, J., Newman, J. A., Palanque-Delabrouille, N., Percival, W., Prada, F., Pérez-Ràfols, I., Rossi, G., Sanchez, E., Schlegel, D., Schubnell, M., Sprayberry, D., Tarlé, G., Weaver, B. A., Zou, H.
In this paper, we investigate the possibility of selecting high-redshift Lyman-Break Galaxies (LBG) using current and future broadband wide photometric surveys, such as UNIONS or the Vera C. Rubin LSST, using a Random Forest algorithm. This work is c
Externí odkaz:
http://arxiv.org/abs/2410.08062
Autor:
Siudek, M., Pucha, R., Mezcua, M., Juneau, S., Aguilar, J., Ahlen, S., Brooks, D., Circosta, C., Claybaugh, T., Cole, S., Dawson, K., de la Macorra, A., Dey, Arjun, Dey, Biprateep, Doel, P., Font-Ribera, A., Forero-Romero, J. E., Gaztañaga, E., Gontcho, S. Gontcho A, Gutierrez, G., Honscheid, K., Howlett, C., Ishak, M., Kehoe, R., Kirkby, D., Kisner, T., Kremin, A., Lambert, A., Landriau, M., Guillou, L. Le, Manera, M., Martini, P., Meisner, A., Miquel, R., Moustakas, J., Newman, J. A., Niz, G., Pan, Z., Percival, W. J., Poppett, C., Prada, F., Rossi, G., Saintonge, A., Sanchez, E., Schlegel, D., Scholte, D., Schubnell, M., Seo, H., Speranza, F., Sprayberry, D., Tarle, G., Weaver, B. A., Zou, H.
Aims. We present an extensive catalog of the physical properties of more than a million galaxies within the Dark Energy Spectroscopic Instrument (DESI), one of the largest spectroscopic surveys to date. Spanning over a full variety of target types, i
Externí odkaz:
http://arxiv.org/abs/2409.19066
Autor:
Klein, Lukas, Lüth, Carsten T., Schlegel, Udo, Bungert, Till J., El-Assady, Mennatallah, Jäger, Paul F.
Explainable AI (XAI) is a rapidly growing domain with a myriad of proposed methods as well as metrics aiming to evaluate their efficacy. However, current studies are often of limited scope, examining only a handful of XAI methods and ignoring underly
Externí odkaz:
http://arxiv.org/abs/2409.16756
We introduce a novel mesh-free and direct method for computing the shape derivative in PDE-constrained shape optimization problems. Our approach is based on a probabilistic representation of the shape derivative and is applicable for second-order sem
Externí odkaz:
http://arxiv.org/abs/2409.15967