Tootfinder

As usual we watched the "Stoertebekker" stage play at Ralswiek on Rügen Island. The stage setups and wardrobes were as awesome as always. They really try to improve on that every year and come up with clever mechanisms to transform the building for the various acts of the play. The script this year left room for desire ;) Nevertheless a happing worth attending
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Constraining fuzzy dark matter with the 21-cm power spectrum from Cosmic Dawn and Reionization
Shihang Liu, Yilin Liu, Bowen Peng, Mengzhou Xie, Zelong Liu, Bohua Li, Yi Mao
https://arxiv.org/abs/2508.10176

Constraining fuzzy dark matter with the 21-cm power spectrum from Cosmic Dawn and Reionization
The 21-cm signals from Cosmic Dawn and the Epoch of Reionization contain valuable information on cosmological structure formation dominated by dark matter. Measurements of the 21-cm power spectrum can thus probe certain dark matter candidates. Here we investigate the impacts of fuzzy dark matter (FDM) on the 21-cm signals, taking into account both the linear matter power spectrum and the halo mass function (HMF) in FDM cosmologies. The full FDM dynamics are implemented in reionization simulatio…

Improving Document Retrieval Coherence for Semantically Equivalent Queries
Stefano Campese, Alessandro Moschitti, Ivano Lauriola
https://arxiv.org/abs/2508.07975 https://…

Improving Document Retrieval Coherence for Semantically Equivalent Queries
Dense Retrieval (DR) models have proven to be effective for Document Retrieval and Information Grounding tasks. Usually, these models are trained and optimized for improving the relevance of top-ranked documents for a given query. Previous work has shown that popular DR models are sensitive to the query and document lexicon: small variations of it may lead to a significant difference in the set of retrieved documents. In this paper, we propose a variation of the Multi-Negative Ranking loss for …

Starobinsky in Stereo: SKA-CMB Synergy in SBI
Benedikt Schosser, Caroline Heneka, Bj\"orn Malte Sch\"afer
https://arxiv.org/abs/2508.10094 https://

Starobinsky in Stereo: SKA-CMB Synergy in SBI
Modern machine learning techniques can unlock the vast cosmological information encoded in forthcoming Square Kilometre Array (SKA) observations. We show that tomographic 21 cm data from the reionisation era can yield stringent tests of inflationary models - here illustrated with Starobinsky $R+R^2$ inflation. Using a simulation-based inference (SBI) framework, we compare neural summaries (convolutional network and vision transformer) with a traditional power spectrum summary and perform a full…

Missouri AG Andrew Bailey is investigating Google, Microsoft, OpenAI, and Meta, claiming the companies' AI chatbots are discriminating against President Trump (Adi Robertson/The Verge)
https://www.theverge.com/news/704851/misso

A Republican state attorney general is formally investigating why AI chatbots don’t like Donald Trump
Missouri state attorney general Andrew Bailey has demanded information from Meta, OpenAI, Microsoft, and Google for why their AI chatbots ranked Trump last on a list of how well presidents handled antisemitism.

Improved Approximation Guarantees and Hardness Results for MNL-Driven Product Ranking
Danny Segev, Gidi Steinberg
https://arxiv.org/abs/2509.09180 https://…

Improved Approximation Guarantees and Hardness Results for MNL-Driven Product Ranking
In this paper, we address open computational questions regarding the market share ranking problem, recently introduced by Derakhshan et al. (2022). Their modelling framework incorporates the extremely popular Multinomial Logit (MNL) choice model, along with a novel search-based consider-then-choose paradigm. In a nutshell, the authors devised a Pandora's-Box-type search model, where different customer segments sequentially screen through a ranked list of products, one position after the other, …

Probing Direct Waves in Black Hole Ringdowns
Naritaka Oshita, Sizheng Ma, Yanbei Chen, Huan Yang
https://arxiv.org/abs/2509.09165 https://arxiv.org/pdf/250…

Probing Direct Waves in Black Hole Ringdowns
Merger gravitational waves from binary black hole coalescence carry rich information about the underlying spacetime dynamics. We analyze merger waves from comparable-mass and extreme-mass-ratio binaries, obtained from numerical relativity and black-hole perturbation theory, respectively, and argue that they are dominated by the prompt wave emissions as the black holes collide. This signal, which we refer to as the direct wave, is modulated by the plunging motion and selectively screened by the …

Balancing Privacy and Efficiency: Music Information Retrieval via Additive Homomorphic Encryption
William Zerong Wang, Dongfang Zhao
https://arxiv.org/abs/2508.07044 https://

Balancing Privacy and Efficiency: Music Information Retrieval via Additive Homomorphic Encryption
In the era of generative AI, ensuring the privacy of music data presents unique challenges: unlike static artworks such as images, music data is inherently temporal and multimodal, and it is sampled, transformed, and remixed at an unprecedented scale. These characteristics make its core vector embeddings, i.e, the numerical representations of the music, highly susceptible to being learned, misused, or even stolen by models without accessing the original audio files. Traditional methods like cop…

Sensitivity toward dark matter annihilation imprints on 21-cm signal with SKA-Low: A convolutional neural network approach
Pravin Kumar Natwariya, Kenji Kadota, Atsushi J. Nishizawa
https://arxiv.org/abs/2508.08251

Sensitivity toward dark matter annihilation imprints on 21-cm signal with SKA-Low: A convolutional neural network approach
This study investigates the sensitivity of the radio interferometers to identify imprints of spatially inhomogeneous dark matter annihilation signatures in the 21-cm signal during the pre-reionization era. We focus on the upcoming low-mode survey of the Square Kilometre Array (SKA-Low) telescope. Using CNNs, we analyze simulated 3D 21-cm differential brightness temperature maps generated via the DM21cm code, which is based on 21cmFAST and DarkHistory, to distinguish between spatially homogeneou…

Tracing Large Scale Structure Morphology with Multiwavelength Line Intensity Maps
Manas Mohit Dosibhatla, Suman Majumdar, Chandra Shekhar Murmu, Samit Kumar Pal, Saswata Dasgupta, Satadru Bag
https://arxiv.org/abs/2508.09112

Tracing Large Scale Structure Morphology with Multiwavelength Line Intensity Maps
Line intensity mapping (LIM) is an emerging technique for probing the large scale structure (LSS) in the post-reionisation era. This captures the integrated flux of a particular spectral line emission from multiple sources within a patch of the sky without resolving them. Mapping different galaxy line emissions, such as the HI $21$-cm and CO rotational lines via LIM, can reveal complementary information about the bias with which the line emitters trace the underlying matter distribution and how…