Tootfinder

Diffraction and Scattering Modeling for Laser Power Beaming in Lunar Environment
Yanni Jiwan-Mercier, Bar{\i}\c{s} D\"onmez, G\"une\c{s} Karabulut-Kurt, S\'ebastien Loranger
https://arxiv.org/abs/2507.13982

Diffraction and Scattering Modeling for Laser Power Beaming in Lunar Environment
Reliable energy delivery is a critical requirement for long-term lunar missions, particularly in regions with limited solar access, such as polar craters and during extended lunar nights. Optical Power Beaming (OPB) using high-power lasers offers a promising alternative to conventional solar power, but the effects of suspended lunar dust on beam propagation remain poorly understood. This study introduces a detailed simulation model that incorporates both diffraction and height-dep…

An effective version of Chebotarev's density theorem
Sourabhashis Das, Habiba Kadiri, Nathan Ng
https://arxiv.org/abs/2508.09480 https://arxiv.org/pdf/…

An effective version of Chebotarev's density theorem
Chebotarev's density theorem asserts that the prime ideals are equidistributed among the conjugacy classes of the Galois group of any normal extension of number fields. An effective version of this theorem was first established by Lagarias and Odlyzko in 1977. In this article, we present an explicit refinement of their statement that applies to all non-rational fields, with every implicit constant expressed explicitly in terms of the field invariants. Additionally, we provide a sharper bound fo…

Piscine en ruine, paillotes abandonnées… On a retrouvé le Club Med des « Bronzés » en Côte d’Ivoire - Le Parisien
https://www.leparisien.fr/culture-loisirs/ci…

Piscine en ruine, paillotes abandonnées… On a retrouvé le Club Med des « Bronzés » en Côte d’Ivoire
Alors que le Splendid vient de perdre brutalement Michel Blanc, nous sommes retournés dans le village vacances où a été tourné en 1978 le premier long métrage de la troupe, « Les Bronzés », au bord de l’Atlantique, en Côte d’Ivoire, inoccupé depuis vingt ans.

#Blakes7 Series D, Episode 05 - Animals
SERVALAN: Every time you see him, you're going to hate him.
DAYNA: No!
SERVALAN: In the end you'll tell me you'll hate him and when I believe you I'll stop.
DAYNA: I'll never hate him.
SERVALAN: You will.

On some sharp estimates of Toeplitz operator in some spaces of Hardy-Lizorkin type of analytic functions in the polydisk
R. F. Shamoyan, E. B. Tomashevskaya
https://arxiv.org/abs/2507.10837

On some sharp estimates of Toeplitz operator in some spaces of Hardy-Lizorkin type of analytic functions in the polydisk
We provide some new sharp assertions on the action of Toeplitz $T_φ$ operator in new $F^{p,q}_α$ type spaces of analytic functions of several complex variables extending previously known assertions proved by various authors.

NFL Offseason Winners and Losers: Bucs Hype Train Soars, Cowboys Are All About Drama https://www.si.com/nfl/nfl-offseason-winners-and-losers-bucs-hype-cowboys-drama

"AI means nobody need attend a uni lecture or course in order to write a winning term paper. Why bother doing research in any job when you can just scrape the Internet? Read a book? That’s for losers. Just order up an instant summary and analysis. The applications of LLMs are stunning. Endless. And we are only in the formative stages."
-- Garth Turner
We ae doomed

Started watching this on Hulu and it's precisely my kind of dark humor.
Creator Kat Sadler described the show as “a family sitcom about trauma, but it’s more about us being narcissistic losers who are pathetically obsessed with what people think about us.”
#streaming #tvshows

Classification non supervis{\'e}es d'acquisitions hyperspectrales cod{\'e}es : quelles v{\'e}rit{\'e}s terrain ?
Trung-tin Dinh (IRAP, LAAS-PHOTO, UT3, LAAS), Herv\'e Carfantan (IRAP), Antoine Monmayrant (LAAS-PHOTO), Simon Lacroix (LAAS-RIS)
https://arxiv.org/abs/2508.03753…

Classification non supervis{é}es d'acquisitions hyperspectrales cod{é}es : quelles v{é}rit{é}s terrain ?
We propose an unsupervised classification method using a limited number of coded acquisitions from a DD-CASSI hyperspectral imager. Based on a simple model of intra-class spectral variability, this approach allow to identify classes and estimate reference spectra, despite data compression by a factor of ten. Here, we highlight the limitations of the ground truths commonly used to evaluate this type of method: lack of a clear definition of the notion of class, high intra-class variability, and e…

Series B, Episode 04 - Horizon
JENNA: I said, "Cally's right when she says we're out of condition."
RO: [Into intercom] Guard. Strangers in Theta Section. Take them.
GUARD: Yes, sir. [To other guards and a native] Theta Section, quickly.
https://blake.torpidity.net/m/204/162