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The Next Generation Virgo Cluster Survey (NGVS). II. A Catalog of Galaxies in the Virgo Cluster
Laura Ferrarese, Patrick Cote, Lauren A. MacArthur, Joel C. Roediger, John P. Blakeslee, Michele Cantiello, Jean-Charles Cuillandre, Puragra Guhathakurta, Stephen Gwyn, Max M. Kurzner, Eric W. Peng, Matthew Santos, Eleanore B. Todd, Elisa Toloba, Pierre-Alain Duc, Patrick R. Durrell, Nicholas Fantin, Yuting Feng, Ariane Lancon, Sungsoon Lim, Chengze Liu, Deborah Lokhorst, Alessia Longobardi, Simona Mei, J. Christopher Mihos, Sanjaya Paudel, Thomas H. Puzia, Anand Raichoor, Ruben Sanchez-Janssen, Kaixiang Wang, Hongxin Zhang, Alessandro Boselli, Michael L. Balogh, Samuel Boissier, Eric Emsellem, J. J. Kavelaars, Alan W. McConnachie, Cameron R. Morgan, Chelsea Spengler, James E. Taylor, Matthew A. Taylor, Toby Brown, Sebastien Fabbro, Raphael Gavazzi, Hendrik Hildebrandt, Rashi Jain, Andres Jordan, Rory Smith, Solveig Thompson, Haruka Yoshino, Wim van Driel, Ludovic van Waerbeke, Tyrone E. Woods, Jade Yeung
https://arxiv.org/abs/2607.18414 https://arxiv.org/pdf/2607.18414 https://arxiv.org/html/2607.18414
arXiv:2607.18414v1 Announce Type: new
Abstract: The Next Generation Virgo Cluster Survey (NGVS) is a deep, high resolution imaging campaign that used the 1 deg$^2$ MegaCam instrument on the Canada-France-Hawaii Telescope to carry out a comprehensive optical survey of the Virgo cluster, from its core to its virial radius. The NGVS covers a contiguous area of 104 deg$^2$ (8.63 Mpc$^2$ at the 16.5 Mpc distance of Virgo) in the $u^*$-,$g$-,$i$-, and $z$-band, with additional limited coverage in $r$. In this paper, we present the final catalog of Virgo galaxies across the entire NGVS area. The catalog includes 3680 galaxies considered to be $bona~fide$ members of the cluster, spanning a factor of 2.5 million in luminosity, from $g = 8.42$ mag to $g = 24.41$ mag ($M_g = -22.67$ mag to $M_g = -6.68$ mag). With 2100 previously uncataloged galaxies, the NGVS catalog augments the number of known Virgo members by a factor 2.3. The catalog is complete down to $g = 18.6$ mag ($M_g=-12.5$ mag, corresponding to a stellar mass $M_* \sim 1.6\times10^7~M_{\odot}$ for an old stellar population) and 50% complete at $g = 22.0$ mag ($M_g=-9.1$ mag, $M_* \sim 6.2\times10^5~M_{\odot}$), three magnitudes deeper than the venerable Virgo Cluster Catalog (VCC), which for over 40 years has served as the reference standard for Virgo. Photometric and structural parameters are derived for all NGVS galaxies and presented in a series of tables, alongside nuclear and morphological classification, as well as stellar masses and, when available, radial velocities.
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IMA Webinar: “Native #Copper in the Munich Subsurface: A Natural Laboratory for Unusual Redox Chemistry under Low-Temperature, Alkaline Conditions”
Dr. Donjš Aßbichler, LMU München.
"The formation of native copper in a remarkable low-temperature geological setting beneath Munich, highlighting its broader relevance to ore mineralogy, redox processes, and subsurface geochemistry."

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The Real Reason Behind $1M Pledge To Fix WH Lawn - Joe.My.God.
https://www.joemygod.com/2026/06/the-real-reason-behind-1m-pledge-to-fix-wh-lawn/

Crosslisted article(s) found for cs.PF. https://arxiv.org/list/cs.PF/new
[1/1]:
- Energy-Efficient On-Device RAG on a Mobile NPU: System Design and Benchmark on Snapdragon X Elite
Zhiyuan Cheng, Longying Lai
https://arxiv.org/abs/2606.11257 https://mastoxiv.page/@arXiv_csCL_bot/116730488820684308
- TileFuse: A Fused Mixed-Precision Kernel Library for Efficient Quantized LLM Inference on AMD NPUs
Wesley Pang, Gregory Hyegang Jun, Feiyang Liu, Deming Chen
https://arxiv.org/abs/2606.11357 https://mastoxiv.page/@arXiv_csDC_bot/116730303808083247
- XPR: An Extensible Cross-Platform Point-Based Differentiable Renderer
Rhyner, Durvasula, Kovalev, Jia, Zhao, Mrutunjayya, Ahuja, Panneer, Giannoula, Vijaykumar
https://arxiv.org/abs/2606.11529 https://mastoxiv.page/@arXiv_csGR_bot/116730305576192171
- Beyond Per-Token Pricing: A Concurrency-Aware Methodology for LLM Infrastructure Cost Estimation
Chitral Patil
https://arxiv.org/abs/2606.11690 https://mastoxiv.page/@arXiv_csDC_bot/116730304985870885
- From Fork-Join to Asynchronous Tasks: Parallelizing Tiled Cholesky Decomposition with OpenMP and HPX
Alexander Strack, Alexander Van Craen, Dirk Pfl\"uger
https://arxiv.org/abs/2606.11937 https://mastoxiv.page/@arXiv_csDC_bot/116730405487451638
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Crosslisted article(s) found for physics.comp-ph. https://arxiv.org/list/physics.comp-ph/new
[1/1]:
- Hybrid Two-Level Transport Method with Solution Decomposition in Macro and Micro Components
Caleb A. Shaw, Dmitriy Y. Anistratov
https://arxiv.org/abs/2607.01346 https://mastoxiv.page/@arXiv_mathNA_bot/116854910030264363
- Predicting Novel Stable Materials for Experimental Synthesis
Yuqi An, Sihong Zhu, Joseph Montoya, Xingyu Guo, Zhenbin Wang
https://arxiv.org/abs/2607.01713 https://mastoxiv.page/@arXiv_condmatmtrlsci_bot/116854978846171607
- An Optimisation Framework for the Well-Conditioned Training of Physics-Informed Neural Networks
Joseph Webb, Sadok Jerad, Coralia Cartis
https://arxiv.org/abs/2607.02194 https://mastoxiv.page/@arXiv_csLG_bot/116855143607520453
- Efficient Large-Scale STEM-EELS Simulations With Torched-TACAW
Martin Osmera, Jo\~ao Vaz, Paul M. Zeiger, J\'an Rusz
https://arxiv.org/abs/2607.02236 https://mastoxiv.page/@arXiv_condmatmtrlsci_bot/116855081674592173
- Grounded autonomous research: a fault-tolerant LLM pipeline from corpus to manuscript in frontier...
Haonan Huang
https://arxiv.org/abs/2607.02329 https://mastoxiv.page/@arXiv_csAI_bot/116855126306616827
- Beyond Adam: SOAP and Muon for Faster, Label-Efficient Training of Machine Learning Interatomic P...
Harari, Zimmermann, Kulseng, Zichi, Tan, Descoteaux, Kozinsky
https://arxiv.org/abs/2607.02499 https://mastoxiv.page/@arXiv_csLG_bot/116855152847861336
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🇺🇦 #NowPlaying on #BBC6Music's #ThePeoplesParty with #FemiKoleoso
Allysha Joy, muk, Dhanya Langer, Shanice Ruby Bennett, Käthe Johanning, Konstantin Döben, Tim Sensbach, Fabiano Lima & Modha:
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#AllyshaJoy #muk #DhanyaLanger #ShaniceRubyBennett #KätheJohanning