Zobrazeno 1 - 10
of 178 457
pro vyhledávání: '"Carr, A. A."'
Autor:
Li, Zhihui, Gronke, Max, Heckman, Timothy, Xu, Xinfeng, Henry, Alaina, Carr, Cody, Chisholm, John, Borthakur, Sanchayeeta, Marques-Chaves, Rui, Schaerer, Daniel, Leclercq, Floriane, Berg, Danielle A.
We conducted systematic radiative transfer (RT) modeling of the Mg II doublet line profiles for 33 low-redshift Lyman continuum (LyC) leakers, and Ly$\alpha$ modeling for a subset of six objects, using a multiphase, clumpy circumgalactic medium (CGM)
Externí odkaz:
http://arxiv.org/abs/2410.11152
Formal Concept Analysis (FCA) is an approach to creating a conceptual hierarchy in which a \textit{concept lattice} is generated from a \textit{formal context}. That is, a triple consisting of a set of objects, $G$, a set of attributes, $M$, and an i
Externí odkaz:
http://arxiv.org/abs/2410.04184
Autor:
Carr, Chris G., Donahue, Carly M., Viens, Loic, Beardslee, Luke B., McGhee, Elisa A., Danielson, Lisa R.
On 24 September 2023, the Origins, Spectral Interpretation, Resource Identification, and Security Regolith Explorer (OSIRIS-REx) Sample Return Capsule entered the Earth's atmosphere after successfully collecting samples from an asteroid. The known tr
Externí odkaz:
http://arxiv.org/abs/2410.03034
The perturbation analysis of linear solvers applied to systems arising broadly in machine learning settings -- for instance, when using linear regression models -- establishes an important perspective when reframing these analyses through the lens of
Externí odkaz:
http://arxiv.org/abs/2410.00878
Autor:
Xu, Xinfeng, Henry, Alaina, Heckman, Timothy, Carr, Cody, Strom, Allison L., Jones, Tucker, Berg, Danielle A., Chisholm, John, Erb, Dawn, James, Bethan L., Jaskot, Anne, Martin, Crystal L., Mingozzi, Matilde, Senchyna, Peter, Roy, Namrata, Scarlata, Claudia, Stark, Daniel P.
Galactic outflows provide important feedback effects to regulate the evolution of the host galaxies. Two primary diagnostics of galactic outflows are broad and/or blueshifted emission and absorption lines. Even though well-established methods exist t
Externí odkaz:
http://arxiv.org/abs/2409.19776
Autor:
Banzatti, Andrea, Salyk, Colette, Pontoppidan, Klaus M., Carr, John, Zhang, Ke, Arulanantham, Nicole, Cleeves, L. Ilsedore, Krijt, Sebastiaan, Najita, Joan, Oberg, Karin I., Pascucci, Ilaria, Blake, Geoffrey A., Munoz-Romero, Carlos E., Bergin, Edwin A., Cieza, Lucas A., Pinilla, Paola, Long, Feng, Mallaney, Patrick, Xie, Chengyan, collaboration, the JDISCS
This work aims at providing fundamental general tools for the analysis of water spectra as observed in protoplanetary disks with JWST-MIRI. We analyze 25 high-quality spectra from the JDISC Survey reduced with asteroid calibrators as presented in Pon
Externí odkaz:
http://arxiv.org/abs/2409.16255
Autor:
Flury, Sophia R., Jaskot, Anne E., Saldana-Lopez, Alberto, Oey, M. S., Chisholm, John, Amorín, Ricardo, Bait, Omkar, Borthakur, Sanchayeeta, Carr, Cody, Ferguson, Henry C., Giavalisco, Mauro, Hayes, Matthew, Heckman, Timothy, Henry, Alaina, Ji, Zhiyuan, Komarova, Lena, Leclercq, Floriane, Reste, Alexandra Le, McCandliss, Stephan, Marques-Chaves, Rui, Östlin, Göran, Pentericci, Laura, Ravindranath, Swara, Rutkowski, Michael, Scarlata, Claudia, Schaerer, Daniel, Thuan, Trinh, Trebitsch, Maxime, Vanzella, Eros, Verhamme, Anne, Wang, Bingjie, Worseck, Gábor, Xu, Xinfeng
One of the fundamental questions of cosmology is the origin and mechanism(s) responsible for the reionization of the Universe beyond $z\sim6$. To address this question, many studies over the past decade have focused on local ($z\sim0.3$) galaxies whi
Externí odkaz:
http://arxiv.org/abs/2409.12118
Autor:
Xu, Yuesheng, Carr, Arielle
The increasing complexity of deep learning models and the demand for processing vast amounts of data make the utilization of large-scale distributed systems for efficient training essential. These systems, however, face significant challenges such as
Externí odkaz:
http://arxiv.org/abs/2409.09242
Autor:
Carr, Elliot J.
Mathematically modelling diffusive and advective transport of particles in heterogeneous layered media is important to many applications in computational, biological and medical physics. While deterministic continuum models of such transport processe
Externí odkaz:
http://arxiv.org/abs/2409.08447
Deep learning is revolutionizing weather forecasting, with new data-driven models achieving accuracy on par with operational physical models for medium-term predictions. However, these models often lack interpretability, making their underlying dynam
Externí odkaz:
http://arxiv.org/abs/2409.06522