arxiv.org/abs/1507.01214v1
The Kilo Degree survey (KiDS) is a large-scale optical imaging survey carried out with the VLT Survey Telescope (VST), which is the ideal tool for galaxy evolution studies. We expect to observe millions of galaxies for which we extract the structural...
arxiv.org/abs/2601.15585v1
Next-generation surveys such as the Euclid survey, the Legacy Survey of Space and Time (LSST), and the China Space Station Telescope (CSST) survey are expected to discover ~10^5 galaxy-galaxy scale strong gravitational lenses. This motivates the deve...
arxiv.org/abs/astro-ph/9908120v2
Spectrophotometric observation of the gravitationally microlensed quasar Q2237+0305 during a High Magnification Event (HME) is potentially a very powerful tool for probing the structure of the quasars accretion disc on scales of less than 10^-8 arc...
arxiv.org/abs/1010.4088v1
We introduce a series of generalized clustering coefficients based on String formalism given by Aoyama, using adjacent matrix in networks. We numerically evaluate Milgram condition proposed in order to explore q-th degrees of separation in scale free...
arxiv.org/abs/1606.08712v1
The method of the envelope Hamiltonian [K. Toyota, U. Saalmann, and J. M. Rost, New J. Phys. {\bf 17}, 073005~(2015)] is applied to further study a detachment dynamics of a model negative ion in one-dimension in high-frequency regime. This method is...
arxiv.org/abs/0803.1460v1
Tracks and isochrones have been computed in the range of initial masses 0.15 - 20 Mo for a grid of 39 chemical compositions with the metal content Z between 0.0001 and 0.070, and helium content Y between 0.23 and 0.46. The Padova stellar evolution...
arxiv.org/abs/0911.2419v1
We extend our theoretical computations for low-mass stars to intermediate-mass and massive stars, for which few databases exist in the literature. Evolutionary tracks and isochrones are computed from 2.50 to 20 solar masses for agrid of 37 chemical...
arxiv.org/abs/2510.06101v1
Distilling the thinking traces of a Large Language Model (LLM) with reasoning capabilities into a smaller model has been proven effective. Yet, there is a scarcity of work done on how model performances scale with the quantity of distillation data. I...
arxiv.org/abs/2201.07311v1
This datasheet describes the Pile, a 825 GiB dataset of human-authored text compiled by EleutherAI for use in large-scale language modeling. The Pile is comprised of 22 different text sources, ranging from original scrapes done for this project, to t...
arxiv.org/abs/1811.11958v1
Supervised learning is limited both by the quantity and quality of the labeled data. In the field of medical record tagging, writing styles between hospitals vary drastically. The knowledge learned from one hospital might not transfer well to another...
arxiv.org/abs/2112.04478v2
Image-based visual-language (I-VL) pre-training has shown great success for learning joint visual-textual representations from large-scale web data, revealing remarkable ability for zero-shot generalisation. This paper presents a simple but strong ba...
arxiv.org/abs/astro-ph/0305077v1
We present unequivocal evidence for a huge (~80 x 100 x 100 Mpc^3) super-structure at redshift z=0.27 in the 3-D distribution of radio galaxies from the TONS08 sample, confirming tentative evidence for such a structure from the 7C redshift survey (...
github.com/baichuan-inc/Baichuan-7B
A large-scale 7B pretraining language model developed by BaiChuan-Inc. (⭐ 5678)
arxiv.org/abs/2306.03926v3
The widely used Milky Way dust reddening map, the Schlegel, Finkbeiner, & Davis (1998; SFD) map, was found to contain extragalactic large-scale structure (LSS) imprints (Chiang & Ménard 2019). Such contamination is inherent in maps based on infrared...
arxiv.org/abs/2107.10080v1
Clusters of galaxies -- with their turbulent magnetic fields and abundant matter content -- are a promising class of potential neutrino sources. Cosmic rays accelerated within the large-scale shocks,Active GalacticNuclei (AGN), or both can be confine...
github.com/rishikksh20/CoaT-pytorch
CoaT: Co-Scale Conv-Attentional Image Transformers (⭐ 16)
github.com/mlpc-ucsd/CoaT
(ICCV 2021 Oral) CoaT: Co-Scale Conv-Attentional Image Transformers (⭐ 235)
arxiv.org/abs/2601.00221v1
The increasing complexity and interconnectedness of systems across various fields have led to a growing interest in studying complex networks, particularly Scale-Free (SF) networks, which best model real-world systems. This paper investigates the inf...
www.reddit.com/r/seogrowth/comments/qwsdin/seo_is_easy_the_exact_process_we_use_to_scale_our/
Hey guys! Let's face it: most SEO content on the internet is too impractical. Sure, all that theory is all fine, but it rarely answers the million dollar question: **How can you grow your website to...
www.reddit.com/r/marketing/comments/hqg6im/seo_is_easy_the_exact_process_we_use_to_scale_our/
Hey guys! There's a TON of content out there on SEO - guides, articles, courses, videos, scams, people yelling about it on online forums, etc etc.. Most of it, however, is super impractical. If you ...