Zobrazeno 1 - 10
of 24 942
pro vyhledávání: '"Das A. K."'
Given a graph $G=(V,E)$, a function $f:V\to \{0,1,2\}$ is said to be a \emph{Roman Dominating function} (RDF) if for every $v\in V$ with $f(v)=0$, there exists a vertex $u\in N(v)$ such that $f(u)=2$. A Roman Dominating function $f$ is said to be an
Externí odkaz:
http://arxiv.org/abs/2411.13141
In this paper, we study collision-free graph exploration in an anonymous pot labeled network. Two identical mobile agents, starting from different nodes in $G$ have to explore the nodes of $G$ in such a way that for every node $v$ in $G$, at least on
Externí odkaz:
http://arxiv.org/abs/2410.17542
Autor:
Ghosh, Soumik, Das, Subir K.
While the kinetics of domain growth, even for conserved order-parameter dynamics, is widely studied for short-range inter-particle interactions, systems having long-range interactions are receiving attention only recently. Here we present results, fo
Externí odkaz:
http://arxiv.org/abs/2410.13447
Autor:
Schulze, Steve, Gal-Yam, Avishay, Dessart, Luc, Miller, Adam A., Woosley, Stan E., Yang, Yi, Bulla, Mattia, Yaron, Ofer, Sollerman, Jesper, Filippenko, Alexei V., Hinds, K-Ryan, Perley, Daniel A., Tsuna, Daichi, Lunnan, Ragnhild, Sarin, Nikhil, Brennan, Sean J., Brink, Thomas G., Bruch, Rachel J., Chen, Ping, Das, Kaustav K., Dhawan, Suhail, Fransson, Claes, Fremling, Christoffer, Gangopadhyay, Anjasha, Irani, Ido, Jerkstrand, Anders, Knezevic, Nikola, Kushnir, Doron, Maeda, Keiichi, Maguire, Kate, Ofek, Eran, Omand, Conor M. B., Qin, Yu-Jing, Sharma, Yashvi, Sit, Tawny, Srinivasaragavan, Gokul P., Strothjohann, Nora L., Takei, Yuki, Waxman, Eli, Yan, Lin, Yao, Yuhan, Zheng, WeiKang, Zimmerman, Erez A., Bellm, Eric C., Coughlin, Michael W., Masci, Frank. J., Purdum, Josiah, Rigault, Mickael, Wold, Avery, Kulkarni, Shrinivas R.
The cores of stars are the cosmic furnaces where light elements are fused into heavier nuclei. The fusion of hydrogen to helium initially powers all stars. The ashes of the fusion reactions are then predicted to serve as fuel in a series of stages, e
Externí odkaz:
http://arxiv.org/abs/2409.02054
Conditional Tabular Generative Adversarial Networks (CTGAN) and their various derivatives are attractive for their ability to efficiently and flexibly create synthetic tabular data, showcasing strong performance and adaptability. However, there are c
Externí odkaz:
http://arxiv.org/abs/2409.01628
Autor:
Rodriguez, Antonio C., El-Badry, Kareem, Suleimanov, Valery, Pala, Anna F., Kulkarni, Shrinivas R., Gaensicke, Boris, Mori, Kaya, Rich, R. Michael, Sarkar, Arnab, Bao, Tong, de Oliveira, Raimundo Lopes, Ramsay, Gavin, Szkody, Paula, Graham, Matthew, Prince, Thomas A., Caiazzo, Ilaria, Vanderbosch, Zachary P., van Roestel, Jan, Das, Kaustav K., Qin, Yu-Jing, Kasliwal, Mansi M., Wold, Avery, Groom, Steven L., Reiley, Daniel, Riddle, Reed
We present volume-limited samples of cataclysmic variables (CVs) and AM CVn binaries jointly selected from SRG/eROSITA eRASS1 and \textit{Gaia} DR3 using an X-ray + optical color-color diagram (the ``X-ray Main Sequence"). This tool identifies all CV
Externí odkaz:
http://arxiv.org/abs/2408.16053
Autor:
Srinivasaragavan, Gokul P., Yang, Sheng, Anand, Shreya, Sollerman, Jesper, Ho, Anna Y. Q., Corsi, Alessandra, Cenko, S. Bradley, Perley, Daniel, Schulze, Steve, Sanchez-Fleming, Marquice, Pope, Jack, Sarin, Nikhil, Omand, Conor, Das, Kaustav K., Fremling, Christoffer, Andreoni, Igor, Bruch, Rachel, Burdge, Kevin B., De, Kishalay, Gal-Yam, Avishay, Gangopadhyay, Anjasha, Graham, Matthew J., Jencson, Jacob E., Karambelkar, Viraj, Kasliwal, Mansi M., Kulkarni, S. R., Martikainen, Julia, Sharma, Yashvi S., Tzanidakis, Anastasios, Yan, Lin, Yao, Yuhan, Bellm, Eric C., Groom, Steven L., Masci, Frank J., Nir, Guy, Purdum, Josiah, Smith, Roger, Sravan, Niharika
We study a magnitude-limited sample of 36 Broad-lined Type Ic Supernovae (SNe Ic-BL) from the Zwicky Transient Facility Bright Transient Survey (detected between March 2018 and August 2021), which is the largest systematic study of SNe Ic-BL done in
Externí odkaz:
http://arxiv.org/abs/2408.14586
Federated Learning (FL) is a distributed machine learning paradigm facilitating participants to collaboratively train a model without revealing their local data. However, when FL is deployed into the wild, some intelligent clients can deliberately de
Externí odkaz:
http://arxiv.org/abs/2407.15402
The diversity in disease profiles and therapeutic approaches between hospitals and health professionals underscores the need for patient-centric personalized strategies in healthcare. Alongside this, similarities in disease progression across patient
Externí odkaz:
http://arxiv.org/abs/2407.14960
Via molecular dynamics simulations we study ICE formation in the TIP4P/Ice model that is known to describe structure and dynamics in various phases of WATER accurately. For this purpose well equilibrated configurations from different initial temperat
Externí odkaz:
http://arxiv.org/abs/2407.06954