Kavli Affiliate: Sarah Church | First 5 Authors: Gaspar Galaz, David T. Frayer, Matias Blaña, J. Christopher Howk, Thomas Puzia | Summary: We report on results from GBT/ARGUS $^{12}$CO(1-0) observations for the giant low surface brightness galaxy Malin 1, which allow us to determine an upper limit for its CO mass, and hence its molecular […]
Kavli Affiliate: Lee McCuller | First 5 Authors: Lee McCuller, , , , | Summary: The Michelson interferometer is a cornerstone of experimental physics. Its applications range from providing first impressions of wave interference in educational settings to probing spacetime at minuscule precision scales. Interferometer precision provides a unique view of the fundamental medium of […]
Kavli Affiliate: Kejia Lee | First 5 Authors: Mingyu Ge, Yuan-Pei Yang, Fangjun Lu, Shiqi Zhou, Long Ji | Summary: Fast radio bursts (FRBs) are short pulses observed in radio frequencies usually originating from cosmological distances. The discovery of FRB 200428 and its X-ray counterpart from the Galactic magnetar SGR J1935+2154 suggests that at least […]
Kavli Affiliate: Kejia Lee | First 5 Authors: Mingyu Ge, Yuan-Pei Yang, Fangjun Lu, Shiqi Zhou, Long Ji | Summary: Fast radio bursts (FRBs) are short pulses observed in radio frequencies usually originating from cosmological distances. The discovery of FRB 200428 and its X-ray counterpart from the Galactic magnetar SGR J1935+2154 suggests that at least […]
Kavli Affiliate: Joshua Frieman | First 5 Authors: John Zhang, Joshua Frieman, , , | Summary: We explore a model introduced by Cyr-Racine, Ge, and Knox (arXiv:2107.13000(2)) that resolves the Hubble tension by invoking a “mirror world" dark sector with energy density a fixed fraction of the “ordinary" sector of Lambda-CDM. Although it reconciles cosmic […]
Kavli Affiliate: Ran Wang | First 5 Authors: Guanyu Gao, Yuqi Dong, Ran Wang, , | Summary: Deep Neural Network (DNN) based video analytics empowers many computer vision-based applications to achieve high recognition accuracy. To reduce inference delay and bandwidth cost for video analytics, the DNN models can be deployed on the edge nodes, which […]
Kavli Affiliate: Ran Wang | First 5 Authors: Guanyu Gao, Yuqi Dong, Ran Wang, Xin Zhou, | Summary: Deep Neural Network (DNN)-based video analytics significantly improves recognition accuracy in computer vision applications. Deploying DNN models at edge nodes, closer to end users, reduces inference delay and minimizes bandwidth costs. However, these resource-constrained edge nodes may […]
Kavli Affiliate: Robert Cameron | First 5 Authors: Veronika Witzke, Alexander I. Shapiro, Nadiia M. Kostogryz, Robert Cameron, Benjamin V. Rackham | Summary: The reliable characterization of planetary atmospheres with transmission spectroscopy requires realistic modeling of stellar magnetic features, since features that are attributable to an exoplanet atmosphere could instead stem from the host star’s […]
Kavli Affiliate: Tom Abel | First 5 Authors: Sihan Yuan, Boryana Hadzhiyska, Tom Abel, , | Summary: Novel summary statistics beyond the standard 2-point correlation function (2PCF) are necessary to capture the full astrophysical and cosmological information from the small-scale (r < 30Mpc/h) galaxy clustering. However, the analysis of beyond-2PCF statistics on small scales is […]
Kavli Affiliate: Tom Abel | First 5 Authors: Sihan Yuan, Boryana Hadzhiyska, Tom Abel, , | Summary: Novel summary statistics beyond the standard 2-point correlation function (2PCF) are necessary to capture the full astrophysical and cosmological information from the small-scale (r < 30Mpc/h) galaxy clustering. However, the analysis of beyond-2PCF statistics on small scales is […]