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pro vyhledávání: '"À Bravo"'
Obstructed atomic phases, with their realizations in systems of diverse dimensionality, have recently arisen as one of the topological states with greatest potential to show higher-order phenomena. In this work we report a special type of obstruction
Externí odkaz:
http://arxiv.org/abs/2412.09561
Autor:
Bravo, Alexia, Schneider, Adam C., Casewell, Sarah, Rothermich, Austin, Faherty, Jacqueline K., French, Jenni R., Bickle, Thomas P., Meisner, Aaron M., Kirkpatrick, J. Davy, Kuchner, Marc J., Burgasser, Adam J., Marocco, Federico, Debes, John H., Sainio, Arttu, Gramaize, Léopold, Kiwy, Frank, Jalowiczor, Peter A., Abdullahi, Awab
We conducted a search for new ultracool companions to nearby white dwarfs using multiple methods, including the analysis of colors and examination of images in both the optical and the infrared. Through this process, we identified fifty-one previousl
Externí odkaz:
http://arxiv.org/abs/2412.04597
Recently, a solution to the long-standing issue of general covariance in canonical quantum gravity has been proposed, leading to the proposal of two black hole solutions. From the above, a fundamental question arises: which solution is superior? Note
Externí odkaz:
http://arxiv.org/abs/2412.01448
Visual framing analysis is a key method in social sciences for determining common themes and concepts in a given discourse. To reduce manual effort, image clustering can significantly speed up the annotation process. In this work, we phrase the clust
Externí odkaz:
http://arxiv.org/abs/2412.01296
Image classification tasks are among the most prominent examples that can be reliably solved by classical machine learning models. In this study, we compare the performance of randomized classical and quantum neural networks as well as classical and
Externí odkaz:
http://arxiv.org/abs/2411.19276
Autor:
Popesso, P., Marini, I., Dolag, K., Lamer, G., Csizi, B., Biffi, V., Robothan, A., Bravo, M., Biviano, A., Vladutesku-Zopp, S., Lovisari, L., Ettori, S., Angelinelli, M., Driver, S., Toptun, V., Dev, A., Mazengo, D., Merloni, A., Zhang, Y., Comparat, J., Ponti, G., Mroczkowski, T., Bulbul, E.
This study examines the average X-ray properties of massive halos at z< 0.2, covering the largest halo mass range to date, from Milky Way-like halos to massive clusters. The analysis is based on stacking in the eFEDS area of the GAMA galaxy group sam
Externí odkaz:
http://arxiv.org/abs/2411.17120
Autor:
Mun, Marcie, Wisnioski, Emily, Harborne, Katherine E., Lagos, Claudia D. P., Valenzuela, Lucas M., Remus, Rhea-Silvia, Mendel, J. Trevor, Battisti, Andrew J., Ellison, Sara L., Foster, Caroline, Bravo, Matias, Brough, Sarah, Croom, Scott M., Gao, Tianmu, Grasha, Kathryn, Gupta, Anshu, Mai, Yifan, Mailvaganam, Anilkumar, Muller, Eric G. M., Sharma, Gauri, Sweet, Sarah M., Taylor, Edward N., Zafar, Tayyaba
We investigate the internal and external mechanisms that regulate and quench star formation (SF) in galaxies at $z \sim 0.3$ using MAGPI observations and the EAGLE, Magneticum, and IllustrisTNG cosmological simulations. Using SimSpin to generate mock
Externí odkaz:
http://arxiv.org/abs/2411.17882
We study the conditions under which a TTF class in a module category over a ring is silting. Using the correspondence between idempotent ideals over a ring and TTF classes in the module category, we focus on finding the necessary and sufficient condi
Externí odkaz:
http://arxiv.org/abs/2411.17581
Autor:
Popesso, P., Biviano, A., Marini, I., Dolag, K., Vladutescu-Zopp, S., Csizi, B., Biffi, V., Lamer, G., Robothan, A., Bravo, M., Lovisari, L., Ettori, S., Angelinelli, M., Driver, S., Toptun, V., Dev, A., Mazengo, D., Merloni, A., Comparat, J., Ponti, G., Mroczkowski, T., Bulbul, E., Grandis, S., Bahar, E.
By using eROSITA data in the eFEDS area, we provide a measure of the hot gas fraction vs. halo mass relation over the largest halo mass range, from Milky Way-sized halos to massive clusters, and to the largest radii ever probed so far in local system
Externí odkaz:
http://arxiv.org/abs/2411.16555
Autor:
Popesso, P., Marini, I., Dolag, K., Lamer, G., Csizi, B., Vladutescu-Zopp, S., Biffi, V., Robothan, A., Bravo, M., Tempel, E., Yang, X., Li, Q., Biviano, A., Lovisari, L., Ettori, S., Angelinelli, M., Driver, S., Toptun, V., Dev, A., Mazengo, D., Merloni, A., Mroczkowski, T., Comparat, J., Zhang, Y., Ponti, G., Bulbul, E.
Hydrodynamical simulation predictions are often compared with observational data without fully accounting for systematics and biases specific to observational techniques. Using the magnetohydrodynamical simulation Magneticum, we generate mock eROSITA
Externí odkaz:
http://arxiv.org/abs/2411.16546