Recent searches

No recent searches

Search options

Only available when logged in.
sigmoid.social is one of the many independent Mastodon servers you can use to participate in the fediverse.
A social space for people researching, working with, or just interested in AI!

Administered by:

Server stats:

572
active users

sigmoid.social: AboutProfiles directoryPrivacy policy

Mastodon: AboutGet the appKeyboard shortcutsView source codev4.4.3

#clusters

0 posts0 participants0 posts today
Fabrizio Musacchio

's automatic Wiki-links connect notes, but these relationships often remain hidden without a visual layer. To address this, I built a local tool that generates interactive visualizations of note connections, revealing and structural patterns for more intuitive navigation and insight. Feel free to play around with it. If you notice any issues, please let me know.

🌍 fabriziomusacchio.com/blog/202
🚀 github.com/FabrizioMusacchio/D

@devontechnologies

*
Tiago F. R. Ribeiro

Redução de Dimensionalidade com Grafos Ajustados Localmente

LocalMAP é um novo algoritmo de redução de dimensionalidade que ajusta dinamicamente o grafo de similaridade dos dados, tornando os ‘clusters’ mais separáveis e confiáveis, especialmente em grandes conjuntos de dados, superando limitações de métodos tradicionais.

📎arxiv.org/pdf/2412.15426
👨‍💻 github.com/williamsyy/LocalMAP

#LocalMAP#Clusters#MachineLearning
Dendrobatus Azureus

Want to play with Kubernetes? Gyptazy shows a fun way to do it.

Excerpt:

Talos Linux is an operating system built specifically for Kubernetes, focusing on security, immutability, and minimalism, designed to work across a variety of environments, including cloud platforms, bare metal servers, and virtualization platforms, providing a versatile solution for modern infrastructure needs.

gyptazy.com/talos-linux-howto-

#bash #csh #ksh #sh # #programming #POSIX #Talos #clusters #cluster

Daniel Fischer

#Jet reorientation in central #galaxies of #clusters and #groups - insights from #VLBA and #Chandra data: arxiv.org/abs/2312.02283 -> 'Death Star' #BlackHoles in Action: chandra.harvard.edu/photo/2024 -> chandra.si.edu/press/24_releas -> nasa.gov/image-article/spotted

arXiv.orgJet reorientation in central galaxies of clusters and groups: insights from VLBA and Chandra dataRecent observations of galaxy clusters and groups with misalignments between their central AGN jets and X-ray cavities, or with multiple misaligned cavities, have raised concerns about the jet - bubble connection in cooling cores, and the processes responsible for jet realignment. To investigate the frequency and causes of such misalignments, we construct a sample of 16 cool core galaxy clusters and groups. Using VLBA radio data we measure the parsec-scale position angle of the jets, and compare it with the position angle of the X-ray cavities detected in Chandra data. Using the overall sample and selected subsets, we consistently find that there is a 30% - 38% chance to find a misalignment larger than $ΔΨ= 45^{\circ}$ when observing a cluster/group with a detected jet and at least one cavity. We determine that projection may account for an apparently large $ΔΨ$ only in a fraction of objects ($\sim$35%), and given that gas dynamical disturbances (as sloshing) are found in both aligned and misaligned systems, we exclude environmental perturbation as the main driver of cavity - jet misalignment. Moreover, we find that large misalignments (up to $\sim90^{\circ}$) are favored over smaller ones ($45^{\circ}\leqΔΨ\leq70^{\circ}$), and that the change in jet direction can occur on timescales between one and a few tens of Myr. We conclude that misalignments are more likely related to actual reorientation of the jet axis, and we discuss several engine-based mechanisms that may cause these dramatic changes.
TrendingLive feeds
About