Tootfinder

TIGER: A Topology-Agnostic, Hierarchical Graph Network for Event Reconstruction
Nathalie Soybelman, Francesco A. Di Bello, Nilotpal Kakati, Eilam Gross
https://arxiv.org/abs/2510.08162

TIGER: A Topology-Agnostic, Hierarchical Graph Network for Event Reconstruction
Event reconstruction at the LHC, the task of assigning observed physics objects to their true origins, is a central challenge for precision measurements and searches. Many existing machine learning approaches address this problem but rely on a single event topology, restricting their applicability to realistic analyses where multiple signal and background processes with different structures are present. To overcome this, we present TIGER, a novel hierarchical graph network that is fundamentally…

DARKK - Traitor (Louder Than Karl Festival)
https://youtu.be/n2l1tpyPvTs

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Mauro Picotto:
🎵 Lizard
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https://eightballrecords.bandcamp.com/track/lizard-picotto-remix
https://open.spotify.com/track/4t12tfpnld2b3XwXsNfEgt

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Joseph Haydn, Neal Davies, Gabrieli Ensemble & Paul McCreesh:
🎵 The Creation: Straight Opening Her Fertile Womb
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Automatizing the search for mass resonances using BumpNet
Jean-Fran\c{c}ois Arguin, Georges Azuelos, \'Emile Baril, Ilan Bessudo, Fannie Bilodeau, Maryna Borysova, Shikma Bressler, Samuel Calvet, Julien Donini, Etienne Dreyer, Michael Kwok Lam Chu, Eva Mayer, Ethan Meszaros, Nilotpal Kakati, Bruna Pascual Dias, Jos\'ephine Potdevin, Amit Shkuri, Muhammad Usman

Automatizing the search for mass resonances using BumpNet
Physics Beyond the Standard Model (BSM) has yet to be observed at the Large Hadron Collider (LHC), motivating the development of model-agnostic, machine learning-based strategies to probe more regions of the phase space. As many final states have not yet been examined for mass resonances, an accelerated approach to bump-hunting is desirable. BumpNet is a neural network trained to map smoothly falling invariant-mass histogram data to statistical significance values. It provides a unique, automat…

Replaced article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- NLI4DB: A Systematic Review of Natural Language Interfaces for Databases
Mengyi Liu, Jianqiu Xu

Supersolidity in Optically Trapped Polariton Condensates
P. N. Kozhevin, A. D. Liubomirov, R. V. Cherbunin, M. A. Chukeev, I. Yu. Chestnov, A. V. Kavokin, A. V. Nalitov
https://arxiv.org/abs/2507.14585

Supersolidity in Optically Trapped Polariton Condensates
Superfluids under specific conditions can exhibit spontaneous breaking of continuous translation symmetries and form exotic spatially ordered states of matter known as supersolids. Despite its early theoretical prediction, it took over half-a-centrury to experimentally demonstrate the supersolid phase in ultracold atomic Bose-Einstein condensates, forming due to long-range interatomic interactions. Here we propose as a promising new platform for supersolidity exciton-polariton superfluids, conf…

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Barış Manço:
🎵 Uzun Ince Bir Yoldayım
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https://open.spotify.com/track/45N7o5LwIDP4BquDkuaTYf