Zobrazeno 1 - 10
of 76 009
pro vyhledávání: '"Curtis, P."'
Autor:
Saxena, Aayush, Cameron, Alex J., Katz, Harley, Bunker, Andrew J., Chevallard, Jacopo, D'Eugenio, Francesco, Arribas, Santiago, Bhatawdekar, Rachana, Boyett, Kristan, Cargile, Phillip A., Carniani, Stefano, Charlot, Stephane, Curti, Mirko, Curtis-Lake, Emma, Hainline, Kevin, Ji, Zhiyuan, Johnson, Benjamin D., Jones, Gareth C., Kumari, Nimisha, Laseter, Isaac, Maseda, Michael V., Robertson, Brant, Simmonds, Charlotte, Tacchella, Sandro, Ubler, Hannah, Williams, Christina C., Willott, Chris, Witstok, Joris, Zhu, Yongda
The UV continuum slope of galaxies, $\beta$, is a powerful diagnostic. Understanding the redshift evolution of $\beta$ and its dependence on key galaxy properties can shed light on the evolution of galaxy physical properties over cosmic time. In this
Externí odkaz:
http://arxiv.org/abs/2411.14532
Autor:
Rinaldi, P., Bonaventura, N., Rieke, G. H., Alberts, S., Caputi, K. I., Baker, W. M., Baum, S., Bhatawdekar, R., Bunker, A. J., Carniani, S., Curtis-Lake, E., D'Eugenio, F., Egami, E., Ji, Z., Hainline, K., Helton, J. M., Lin, X., Lyu, J., Johnson, B. D., Ma, Z., Maiolino, R., Pérez-González, P. G., Rieke, M., Robertson, B. E., Shivaei, I., Stone, M., Sun, Y., Tacchella, S., Übler, H., Williams, C. C., Willmer, C. N. A., Willott, C., Zhang, J., Zhu, Y.
We analyze 99 photometrically selected Little Red Dots (LRDs) at z ~ 4-8 in the GOODS fields, leveraging ultra-deep JADES NIRCam short-wavelength (SW) data. We examine the morphology of 30 LRDs; the remaining 69 are predominantly compact, i.e. are st
Externí odkaz:
http://arxiv.org/abs/2411.14383
We present radial profiles of luminosity-weighted age, $age_L$, and $\Delta \Sigma_{SFR}$ for various populations of high- and low- mass central and satellite galaxies in the TNG100 cosmological simulation. Using these profiles, we investigate the im
Externí odkaz:
http://arxiv.org/abs/2411.13666
Autor:
Liu, Tingting, Giorgi, Salvatore, Aich, Ankit, Lahnala, Allison, Curtis, Brenda, Ungar, Lyle, Sedoc, João
As AI chatbots become more human-like by incorporating empathy, understanding user-centered perceptions of chatbot empathy and its impact on conversation quality remains essential yet under-explored. This study examines how chatbot identity and perce
Externí odkaz:
http://arxiv.org/abs/2411.12877
Autor:
Strutz, Dominik, Curtis, Andrew
Monitoring the seismic activity of volcanoes is crucial for hazard assessment and eruption forecasting. The layout of each seismic network determines the information content of recorded data about volcanic earthquakes, and experimental design methods
Externí odkaz:
http://arxiv.org/abs/2411.11015
Autor:
Bazavov, Alexei, Clarke, David A., Davies, Christine, DeTar, Carleton, El-Khadra, Aida X., Gámiz, Elvira, Gottlieb, Steven, Grebe, Anthony V., Hostetler, Leon, Jay, William I., Jeong, Hwancheol, Kronfeld, Andreas S., Lahert, Shaun, Laiho, Jack, Lepage, G. Peter, Lynch, Michael, Lytle, Andrew T., McNeile, Craig, Neil, Ethan T., Peterson, Curtis T., Simone, James N., Sitison, Jacob W., Van de Water, Ruth S., Vaquero, Alejandro
We present complete results for the hadronic vacuum polarization (HVP) contribution to the muon anomalous magnetic moment $a_\mu$ in the short- and intermediate-distance window regions, which account for roughly 10% and 35% of the total HVP contribut
Externí odkaz:
http://arxiv.org/abs/2411.09656
Autor:
Huo, Zepeng, Fries, Jason Alan, Lozano, Alejandro, Valanarasu, Jeya Maria Jose, Steinberg, Ethan, Blankemeier, Louis, Chaudhari, Akshay S., Langlotz, Curtis, Shah, Nigam H.
With the rise of medical foundation models and the growing availability of imaging data, scalable pretraining techniques offer a promising way to identify imaging biomarkers predictive of future disease risk. While current self-supervised methods for
Externí odkaz:
http://arxiv.org/abs/2411.09361
Autor:
Mosegaard, Klaus, Curtis, Andrew
Bayesian inference is used to estimate continuous parameter values given measured data in many fields of science. The method relies on conditional probability densities to describe information about both data and parameters, yet the notion of conditi
Externí odkaz:
http://arxiv.org/abs/2411.13570
Autor:
Zwane, Sicelukwanda, Cheney, Daniel, Johnson, Curtis C., Luo, Yicheng, Bekiroglu, Yasemin, Killpack, Marc D., Deisenroth, Marc Peter
Soft robots offer more flexibility, compliance, and adaptability than traditional rigid robots. They are also typically lighter and cheaper to manufacture. However, their use in real-world applications is limited due to modeling challenges and diffic
Externí odkaz:
http://arxiv.org/abs/2411.07342
Autor:
Atha, Deegan, Lei, Xianmei, Khattak, Shehryar, Sabel, Anna, Miller, Elle, Noca, Aurelio, Lim, Grace, Edlund, Jeffrey, Padgett, Curtis, Spieler, Patrick
Off-road environments pose significant perception challenges for high-speed autonomous navigation due to unstructured terrain, degraded sensing conditions, and domain-shifts among biomes. Learning semantic information across these conditions and biom
Externí odkaz:
http://arxiv.org/abs/2411.06632