Tootfinder

A chemical close-up of the main body of the Sagittarius dwarf galaxy
Alessio Liberatori, Deimer Antonio Alvarez Garay, Marco Palla, Alessio Mucciarelli, Michele Bellazzini, Donatella Romano
https://arxiv.org/abs/2506.02476

A chemical close-up of the main body of the Sagittarius dwarf galaxy
We present the chemical composition of a sample of 37 red giant branch (RGB) stars belonging to the main body of the remnant of the Sagittarius (Sgr) dwarf spheroidal galaxy. All stars were observed with the FLAMES-UVES high-resolution spectrograph. Twenty-three new targets are selected along the blue side of the RGB of Sgr, but outside the galaxy stellar nucleus, in order to avoid contamination by the stars of the metal-poor globular cluster M54. Additionally, we re-analyzed archival spectra o…

BWT for string collections
Davide Cenzato, Zsuzsanna Lipt\'ak, Nadia Pisanti, Giovanna Rosone, Marinella Sciortino
https://arxiv.org/abs/2506.01092 htt…

BWT for string collections
We survey the different methods used for extending the BWT to collections of strings, following largely [Cenzato and Lipták, CPM 2022, Bioinformatics 2024]. We analyze the specific aspects and combinatorial properties of the resulting BWT variants and give a categorization of publicly available tools for computing the BWT of string collections. We show how the specific method used impacts on the resulting transform, including the number of runs, and on the dynamicity of the transform with resp…

Femtosecond photocurrents by the Dresselhaus bulk spin-galvanic effect in an inversion-asymmetric ferromagnet
Junwei Tong, Zdenek Kaspar, Afnan Alostaz, Reza Rouzegar, Chihun In, Tim Titze, Maximilian Staabs, Genaro Bierhance, Yanzhao Wu, Holger Grisk, Jakob Walowski, Markus M\"unzenberg, Felicitas Gerhard, Johannes Kleinlein, Tobias Kie{\ss}ling, Charles Gould, Laurens W. Molenkamp, Xianmin Zhang, Daniel Steil, Tom S. Seifert, Tobias Kampfrath

Femtosecond photocurrents by the Dresselhaus bulk spin-galvanic effect in an inversion-asymmetric ferromagnet
We study ultrafast photocurrents in thin films of a model ferromagnetic metal with broken bulk inversion symmetry, the half-metallic Heusler compound NiMnSb, following excitation with an optical pump pulse with photon energy 1.55 eV. Remarkably, in terms of the direction of the sample magnetization M, all photocurrents are found to be a superposition of a component with Rashba- and Dresselhaus-type symmetry. We explain the Dresselhaus bulk photocurrent as follows: Pump-induced electron heating …

Report on NSF Workshop on Science of Safe AI
Rajeev Alur, Greg Durrett, Hadas Kress-Gazit, Corina P\u{a}s\u{a}reanu, Ren\'e Vidal
https://arxiv.org/abs/2506.22492

Report on NSF Workshop on Science of Safe AI
Recent advances in machine learning, particularly the emergence of foundation models, are leading to new opportunities to develop technology-based solutions to societal problems. However, the reasoning and inner workings of today's complex AI models are not transparent to the user, and there are no safety guarantees regarding their predictions. Consequently, to fulfill the promise of AI, we must address the following scientific challenge: how to develop AI-based systems that are not only accura…

A Generic Platform for Designing Fractional Chern Insulators: Electrostatically Engineered Rashba Materials
Bokai Liang, Wei Qin, Zhenyu Zhang
https://arxiv.org/abs/2506.22173

A Generic Platform for Designing Fractional Chern Insulators: Electrostatically Engineered Rashba Materials
We present a generic platform for designing topological flat bands through applying an artificially designed electrostatic superlattice potential to a thin film with Rashba spin-orbit coupling. Utilizing many-body exact diagonalization, we show that the lowest flat band can host fractional Chern insulator states at filling factor $n = 1/3$ and $2/3$. Notably, these fractional charge states present robustly in a broad regime of the parameter space. We further discuss the potential realistic mate…

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Last year, I had a US intern working with us and she now is looking for help that you- good reader of this account- could give.
(She needs academic survey participants)
Check out her flyer below, click the link, and please RT
http…

Research Study on Data Privacy and Collective Redress
A researcher at University College Dublin wants to conduct anonymous interviews to learn about why you would or would not participate in a legal action to rectify a data protection violation. This information can be used to help nonprofit organizations better represent you when organizations violate your data protection rights. Provide your email to receive more information. All personally identifiable information will be deleted following completion of the study.

On Friday, Trump’s border czar,
Tom Homan, said he plans to send the National Guard to Los Angeles
to combat protests against ICE that began this weekend following immigration raids in the city.
“We are making Los Angeles safer. Mayor Bass should be thanking us. She says they are going to mobilize—guess what?
We are already mobilizing.
We are going to bring the National Guard in tonight,”
Homan told Fox News.
California Governor Gavin Newsom respo…

LA protests live: National Guard to arrive within 24 hours after being deployed by Trump over immigration demos
Demonstrators clash with Immigration and Customs Enforcement (ICE) officials in hours-long stand-off

This https://arxiv.org/abs/2506.05008 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

Structure-Aware Radar-Camera Depth Estimation
Monocular depth estimation aims to determine the depth of each pixel from an RGB image captured by a monocular camera. The development of deep learning has significantly advanced this field by facilitating the learning of depth features from some well-annotated datasets \cite{Geiger_Lenz_Stiller_Urtasun_2013,silberman2012indoor}. Eigen \textit{et al.} \cite{eigen2014depth} first introduce a multi-scale fusion network for depth regression. Following this, subsequent improvements have come from r…

Implied Probabilities and Volatility in Credit Risk: A Merton-Based Approach with Binomial Trees
Jagdish Gnawali, Abootaleb Shirvani, Svetlozar T. Rachev
https://arxiv.org/abs/2506.12694

Implied Probabilities and Volatility in Credit Risk: A Merton-Based Approach with Binomial Trees
We explore credit risk pricing by modeling equity as a call option and debt as the difference between the firm's asset value and a put option, following the structural framework of the Merton model. Our approach proceeds in two stages: first, we calibrate the asset volatility using the Black-Scholes-Merton (BSM) formula; second, we recover implied mean return and probability surfaces under the physical measure. To achieve this, we construct a recombining binomial tree under the real-world (natu…

Coercive Field Reduction in Ultra-thin Al1-XScXN via Interfacial Engineering with a Scandium Electrode
Yinuo Zhang, Rajeev Kumar Rai, Giovanni Esteves, Yubo Wang, Deep M. Jariwala, Eric A. Stach, Roy H. Olsson III
https://arxiv.org/abs/2506.10169

Coercive Field Reduction in Ultra-thin Al1-XScXN via Interfacial Engineering with a Scandium Electrode
Aluminum scandium nitride (AlScN) ferroelectrics are promising for next-generation non-volatile memory applications due to their high remnant polarization as well as fast switching and scalability to nanometer thicknesses. As device dimensions shrink, the coercive field in ultra-thin ferroelectric films increases, which challenges low-voltage operation. We demonstrate that interfacial engineering through bottom electrode selection and strain management reduces this coercive field increase and i…