Zobrazeno 11 - 20
of 107 752
pro vyhledávání: '"Bird, A"'
Imaging mass cytometry (IMC) is a relatively new technique for imaging biological tissue at subcellular resolution. In recent years, learning-based segmentation methods have enabled precise quantification of cell type and morphology, but typically re
Externí odkaz:
http://arxiv.org/abs/2402.04446
Autor:
Yang, Xiang-Ming, Bird, Sarah A., Li, Jiadong, Tian, Hai-Jun, Qiu, Dan, Li, Jia-Peng, Li, Cheng-Yuan, Liu, Gao-Chao, Zhang, Peng, Zhang, Ju-Yong, Chen, Zhi-Ping
We present a comprehensive investigation on the mass function (MF) of a snake-like stellar structure in the solar neighbourhood, building on our previous discovery. To ensure the reliability of the data, we reselect the member stars of the Stellar ``
Externí odkaz:
http://arxiv.org/abs/2402.04130
Autor:
LaChance, Patrick, Croft, Rupert, Ni, Yueying, Chen, Nianyi, Di Matteo, Tiziana, Bird, Simeon
We present mock JWST observations for more than 215,000 different galaxies from the Astrid simulation with $3 \leq z \leq 6$. The mock observations are made using the BPASS stellar SED model, and a simple dust model. They are then viewed through NIRC
Externí odkaz:
http://arxiv.org/abs/2401.16608
Autor:
Lin, Jun, Guo, Rui, Bird, Sarah A., Tian, Haijun, Liu, Chao, Flynn, Chris, Liu, Gaochao, Cui, Sheng
We select 1,052,469 (754,635) thin disk stars from {\it Gaia} eDR3 and LAMOST DR7 in the range of Galactocentric radius $R$ (guiding center radius $R_\mathrm{g}$) from 8 to 11\,kpc to investigate the asymmetries between the North and South of the dis
Externí odkaz:
http://arxiv.org/abs/2401.04688
Autor:
Monari, Dennis, Larkin, Jack, Machado, Pedro, Bird, Jordan J., Ihianle, Isibor Kennedy, Yahaya, Salisu Wada, Tash, Farhad Fassihi, Hasan, Md Mahmudul, Lotfi, Ahmad
Invasive signal crayfish have a detrimental impact on ecosystems. They spread the fungal-type crayfish plague disease (Aphanomyces astaci) that is lethal to the native white clawed crayfish, the only native crayfish species in Britain. Invasive signa
Externí odkaz:
http://arxiv.org/abs/2401.06157
Autor:
Dadiani, Ekaterine, Di Matteo, Tiziana, Chen, Nianyi, Lachance, Patrick, Shen, Yue, Chen, Yu-Ching, Croft, Rupert, Ni, Yueying, Bird, Simeon
We study dual AGN host galaxy morphologies at $z=2$ using the ASTRID simulation, selecting black hole (BH) pairs with small separation ($\Delta r<30\rm{kpc}$), high mass ($M_{\text{BH,12}}>10^7M_\odot$), and luminosity ($L_{\text{bol,12}}>10^{43}\rm{
Externí odkaz:
http://arxiv.org/abs/2312.14263
Autor:
Fardeen, James, McGill, Peter, Perkins, Scott E., Dawson, William A., Abrams, Natasha S., Lu, Jessica R., Ho, Ming-Feng, Bird, Simeon
Primordial Black Holes (PBHs) could explain some fraction of dark matter and shed light on many areas of early-universe physics. Despite over half a century of research interest, a PBH population has so far eluded detection. The most competitive cons
Externí odkaz:
http://arxiv.org/abs/2312.13249
Autor:
Chen, Nianyi, Mukherjee, Diptajyoti, Di Matteo, Tiziana, Ni, Yueying, Bird, Simeon, Croft, Rupert
The elusive massive black hole (MBH) seeds stand to be revealed by the Laser Space Antenna Interferometer through mergers. As an aftermath of galaxy mergers, MBH coalescence is a vastly multi-scale process connected to galaxy formation. We introduce
Externí odkaz:
http://arxiv.org/abs/2312.09183
Explainability is an aspect of modern AI that is vital for impact and usability in the real world. The main objective of this paper is to emphasise the need to understand the predictions of Computer Vision models, specifically Convolutional Neural Ne
Externí odkaz:
http://arxiv.org/abs/2312.05975
Autor:
Jones, Amy M., Beaton, Rachael L., Cherinka, Brian A., Masters, Karen L., Lucatello, Sara, Diamond-Stanic, Aleksandar M., Bird, Sarah A., Blanton, Michael R., Cunha, Katia, Farr, Emily E., Feuillet, Diane, Frinchaboy, Peter M., Hagen, Alex, Kinemuchi, Karen, Lundgren, Britt, Marinelli, Mariarosa L., Myers, Adam D., Roman-Lopes, Alexandre, Ross, Ashley J., Sanchez-Gallego, Jose R., Schmidt, Sarah J., Sobeck, Jennifer, Stassun, Keivan G., Tayar, Jamie, Vargas-Magana, Mariana, Wilson, J. C., Zasowski, Gail
The Sloan Digital Sky Survey (SDSS) is one of the largest international astronomy organizations. We present demographic data based on surveys of its members from 2014, 2015 and 2016, during the fourth phase of SDSS (SDSS-IV). We find about half of SD
Externí odkaz:
http://arxiv.org/abs/2311.08970