Zobrazeno 1 - 10
of 316 012
pro vyhledávání: '"FOSTER, A."'
Autor:
Grant, Catherine E., Bautz, Marshall W., Miller, Eric D., Foster, Richard F., LaMarr, Beverly, Malonis, Andrew, Prigozhin, Gregory, Schneider, Benjamin, Leitz, Christopher, Falcone, Abraham D.
The Arcus Probe mission concept provides high-resolution soft X-ray and UV spectroscopy to reveal feedback-driven structure and evolution throughout the universe with an agile response capability ideal for probing the physics of time-dependent phenom
Externí odkaz:
http://arxiv.org/abs/2412.16344
Autor:
Chakraborty, Priyanka, Sarkar, Arnab, Smith, Randall, Ferland, Gary J., McDonald, Michael, Forman, William, Vogelsberger, Mark, Torrey, Paul, Garcia, Alex M., Bautz, Mark, Foster, Adam, Miller, Eric, Grant, Catherine
We report the detection of the [O III] auroral line in 42 galaxies within the redshift range of $3 < z < 10$. These galaxies were selected from publicly available JWST data releases, including the JADES and PRIMALsurveys, and observed using both the
Externí odkaz:
http://arxiv.org/abs/2412.15435
Autor:
Chichura, P. M., Rahlin, A., Anderson, A. J., Ansarinejad, B., Archipley, M., Balkenhol, L., Benabed, K., Bender, A. N., Benson, B. A., Bianchini, F., Bleem, L. E., Bouchet, F. R., Bryant, L., Camphuis, E., Carlstrom, J. E., Chang, C. L., Chaubal, P., Chokshi, A., Chou, T. -L., Coerver, A., Crawford, T. M., Daley, C., de Haan, T., Dibert, K. R., Dobbs, M. A., Doohan, M., Doussot, A., Dutcher, D., Everett, W., Feng, C., Ferguson, K. R., Fichman, K., Foster, A., Galli, S., Gambrel, A. E., Gardner, R. W., Ge, F., Goeckner-Wald, N., Gualtieri, R., Guidi, F., Guns, S., Halverson, N. W., Hivon, E., Holder, G. P., Holzapfel, W. L., Hood, J. C., Hryciuk, A., Huang, N., Kéruzoré, F., Khalife, A. R., Kim, J., Knox, L., Korman, M., Kornoelje, K., Kuo, C. -L., Levy, K., Lowitz, A. E., Lu, C., Maniyar, A., Marrone, D. P., Martsen, E. S., Menanteau, F., Millea, M., Montgomery, J., Nakato, Y., Natoli, T., Noble, G. I., Omori, Y., Padin, S., Pan, Z., Paschos, P., Phadke, K. A., Pollak, A. W., Prabhu, K., Quan, W., Rahimi, M., Reichardt, C. L., Rouble, M., Ruhl, J. E., Schiappucci, E., Sobrin, J. A., Stark, A. A., Stephen, J., Tandoi, C., Thorne, B., Trendafilova, C., Umilta, C., Veitch-Michaelis, J., Vieira, J. D., Vitrier, A., Wan, Y., Whitehorn, N., Wu, W. L. K., Young, M. R., Zagorski, K., Zebrowski, J. A.
We present improvements to the pointing accuracy of the South Pole Telescope (SPT) using machine learning. The ability of the SPT to point accurately at the sky is limited by its structural imperfections, which are impacted by the extreme weather at
Externí odkaz:
http://arxiv.org/abs/2412.15167
Autor:
Zarharan, Majid, Hashemi, Maryam, Behroozrazegh, Malika, Eetemadi, Sauleh, Pilehvar, Mohammad Taher, Foster, Jennifer
We introduce FarExStance, a new dataset for explainable stance detection in Farsi. Each instance in this dataset contains a claim, the stance of an article or social media post towards that claim, and an extractive explanation which provides evidence
Externí odkaz:
http://arxiv.org/abs/2412.14008
The quantum chromodynamics (QCD) axion arises as the pseudo-Goldstone mode of a spontaneously broken abelian Peccei-Quinn (PQ) symmetry. If the scale of PQ symmetry breaking occurs below the inflationary reheat temperature and the domain wall number
Externí odkaz:
http://arxiv.org/abs/2412.08699
GEANT4 is a particle physics simulation tool used to develop and optimize radiation detectors. While C++ based examples exist, Python's growing popularity necessitates the development of a more accessible Python bindings interface. This work demonstr
Externí odkaz:
http://arxiv.org/abs/2412.05593
Self-improvement is a mechanism in Large Language Model (LLM) pre-training, post-training and test-time inference. We explore a framework where the model verifies its own outputs, filters or reweights data based on this verification, and distills the
Externí odkaz:
http://arxiv.org/abs/2412.02674
Autor:
Huang, Audrey, Block, Adam, Foster, Dylan J., Rohatgi, Dhruv, Zhang, Cyril, Simchowitz, Max, Ash, Jordan T., Krishnamurthy, Akshay
Recent work in language modeling has raised the possibility of self-improvement, where a language models evaluates and refines its own generations to achieve higher performance without external feedback. It is impossible for this self-improvement to
Externí odkaz:
http://arxiv.org/abs/2412.01951
Machine unlearning is gaining increasing attention as a way to remove adversarial data poisoning attacks from already trained models and to comply with privacy and AI regulations. The objective is to unlearn the effect of undesired data from a traine
Externí odkaz:
http://arxiv.org/abs/2412.00761
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