cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Adoption of AI Technology in the Music Mixing Workflow: An Investigation
Creators: name: Vanka, Soumya Sai
name: Safi, Maryam
name: Rolland, Jean-Baptiste
name: Fazekas, George
Publisher: name: arXiv
Year: 2023
Subjects: subject: Human-Computer Interaction (cs.HC)
subject: Artificial Intelligence (cs.AI)
subject: Sound (cs.SD)
subject: Audio and Speech Processing (eess.AS)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: The integration of artificial intelligence (AI) technology in the music industry is driving a significant change in the way music is being composed, produced and mixed. This study investigates the current state of AI in the mixing workflows and its adoption by different user groups. Through semi-structured interviews, a questionnaire-based study, and analyzing web forums, the study confirms three user groups comprising amateurs, pro-ams, and professionals. Our findings show that while AI mixing tools can simplify the process and provide decent results for amateurs, pro-ams seek precise control and customization options, while professionals desire control and customization options in addition to assistive and collaborative technologies. The study provides strategies for designing effective AI mixing tools for different user groups and outlines future directions.
Reduced-Precision Floating-Point Arithmetic in Systolic Arrays with Skewed Pipelines
Creators: name: Filippas, D.
name: Peltekis, C.
name: Dimitrakopoulos, G.
name: Nicopoulos, C.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Hardware Architecture (cs.AR)
subject: FOS: Computer and information sciences

description: The acceleration of deep-learning kernels in hardware relies on matrix multiplications that are executed efficiently on Systolic Arrays (SA). To effectively trade off deep-learning training/inference quality with hardware cost, SA accelerators employ reduced-precision Floating-Point (FP) arithmetic. In this work, we demonstrate the need for new pipeline organizations to reduce latency and improve energy efficiency of reduced-precision FP operators for the chained multiply-add operation imposed by the structure of the SA. The proposed skewed pipeline design reorganizes the pipelined operation of the FP multiply-add units to enable new forwarding paths for the exponent logic, which allow for parallel execution of the pipeline stages of consecutive PEs. As a result, the latency of the matrix multiplication operation within the SA is significantly reduced with minimal hardware cost, thereby yielding an energy reduction of 8% and 11% for the examined state-of-the-art CNNs.
description: IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS) 2023
Acceleration Services: Driving Transformation in Higher Education Institutions
Creators: name: Alcober, Jesus
Publisher: name: Zenodo
Year: 2023
Subjects: acceleration services, HEI transformation,

description: Higher Education Institutions (HEIs) play a crucial role in enhancing society, economy, and technology. As the world evolves, HEIs need to adapt and embrace institutional change to effectively address changing societal needs, technological advancements, and global concerns. This presentation highlights the significance of acceleration services in supporting HEIs' transformation efforts, driving innovation, research and teaching quality, multidisciplinary collaboration, and HEI social impact.
Modelling the Type Ic SN 2004aw: a Moderately Energetic Explosion of a Massive C+O Star without a GRB
Creators: name: Mazzali, P. A.
name: Sauer, D. N.
name: Pian, E.
name: Deng, J.
name: Prentice, S.
name: Ami, S. Ben
name: Taubenberger, S.
name: Nomoto, K.
Publisher: name: arXiv
Year: 2017
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: An analysis of the Type Ic supernova (SN) 2004aw is performed by means of models of the photospheric and nebular spectra and of the bolometric light curve. SN2004aw is shown not to be ``broad-lined'', contrary to previous claims, but rather a ``fast-lined'' SN Ic. The spectral resemblance to the narrow-lined Type Ic SN1994I, combined with the strong nebular [O I] emission and the broad light curve, point to a moderately energetic explosion of a massive C+O star. The ejected 56Ni mass is ~0.2 Msun. The ejecta mass as constrained by the models is ~3-5 Msun, while the kinetic energy is estimated as KE ~3-6 e51 ergs. The ratio KE/Mej, the specific energy which influences the shape of the spectrum, is therefore ~1. The corresponding zero-age main-sequence mass of the progenitor star may have been ~23-28 Msun. Tests show that a flatter outer density structure may have caused a broad-lined spectrum at epochs before those observed without affecting the later epochs when data are available, implying that our estimate of KE is a lower limit. SN2004aw may have been powered by either a collapsar or a magnetar, both of which have been proposed for gamma-ray burst-supernovae. Evidence for this is seen in the innermost layers, which appear to be highly aspherical as suggested by the nebular line profiles. However, any engine was not extremely powerful, as the outer ejecta are more consistent with a spherical explosion and no gamma-ray burst was detected in coincidence with SN2004aw.
description: 13 pages, 15 figures, in press in MNRAS
Bengali Fake Review Detection using Semi-supervised Generative Adversarial Networks
Creators: name: Shawon, Md. Tanvir Rouf
name: Shahariar, G. M.
name: Shah, Faisal Muhammad
name: Alam, Mohammad Shafiul
name: Mahbub, Md. Shahriar
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computation and Language (cs.CL)
subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: This paper investigates the potential of semi-supervised Generative Adversarial Networks (GANs) to fine-tune pretrained language models in order to classify Bengali fake reviews from real reviews with a few annotated data. With the rise of social media and e-commerce, the ability to detect fake or deceptive reviews is becoming increasingly important in order to protect consumers from being misled by false information. Any machine learning model will have trouble identifying a fake review, especially for a low resource language like Bengali. We have demonstrated that the proposed semi-supervised GAN-LM architecture (generative adversarial network on top of a pretrained language model) is a viable solution in classifying Bengali fake reviews as the experimental results suggest that even with only 1024 annotated samples, BanglaBERT with semi-supervised GAN (SSGAN) achieved an accuracy of 83.59% and a f1-score of 84.89% outperforming other pretrained language models - BanglaBERT generator, Bangla BERT Base and Bangla-Electra by almost 3%, 4% and 10% respectively in terms of accuracy. The experiments were conducted on a manually labeled food review dataset consisting of total 6014 real and fake reviews collected from various social media groups. Researchers that are experiencing difficulty recognizing not just fake reviews but other classification issues owing to a lack of labeled data may find a solution in our proposed methodology.
Projective bundles and blow-ups of Projective spaces
Creators: name: Galkin, Sergey
name: Nagaraj, D. S.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Algebraic Geometry (math.AG)
subject: FOS: Mathematics

description: The aim of this note is to investigate the relation between two types of non-singular projective varieties of Picard rank 2, namely the Projective bundles over Projective spaces and certain Blow-up of Projective spaces.
description: Comments are welcome
Spread of premalignant mutant clones and cancer initiation in multilayered tissue
Creators: name: Foo, Jasmine
name: Gunnarsson, Einar Bjarki
name: Leder, Kevin
name: Storey, Kathleen
Publisher: name: arXiv
Year: 2020
Subjects: subject: Probability (math.PR)
subject: Populations and Evolution (q-bio.PE)
subject: FOS: Mathematics
subject: FOS: Biological sciences
subject: 60G50, 60J27, 60K35, 92B05, 92C50, 92D25

description: Over 80% of human cancers originate from the epithelium, which covers the outer and inner surfaces of organs and blood vessels. In stratified epithelium, the bottom layers are occupied by stem and stem-like cells that continually divide and replenish the upper layers. In this work, we study the spread of premalignant mutant clones and cancer initiation in stratified epithelium using the biased voter model on stacked two-dimensional lattices. Our main result is an estimate of the propagation speed of a premalignant mutant clone, which is asymptotically precise in the cancer-relevant weak-selection limit. We use our main result to study cancer initiation under a two-step mutational model of cancer, which includes computing the distributions of the time of cancer initiation and the size of the premalignant clone giving rise to cancer. Our work quantifies the effect of epithelial tissue thickness on the process of carcinogenesis, thereby contributing to an emerging understanding of the spatial evolutionary dynamics of cancer.
description: 49 pages, 11 figures, accepted for publication in Annals of Applied Probability
Construction of a set of p-adic distributions
Creators: name: Rozikov, U. A.
name: Tugyonov, Z. T.
Publisher: name: arXiv
Year: 2017
Subjects: subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences
subject: 46S10, 82B26, 12J12

description: In this paper adapting to $p$-adic case some methods of real valued Gibbs measures on Cayley trees we construct several $p$-adic distributions on the set $\mathbb{Z}_p$ of $p$-adic integers. Moreover, we give conditions under which these $p$-adic distributions become $p$-adic measures (i.e. bounded distributions).
description: 9 pages, 2 figures
A Very Large ($θ_{E}\gtrsim40$") Strong Gravitational Lens Selected with the Sunyaev-Zel'dovich Effect: PLCK G287.0+32.9 ($z$ = 0.38)
Creators: name: Zitrin, Adi
name: Seitz, Stella
name: Monna, Anna
name: Koekemoer, Anton
name: Nonino, Mario
name: Gruen, Daniel
name: Balestra, Italo
name: Girardi, Marisa
name: Koppenhoefer, Johannes
name: Mercurio, Amata
Publisher: name: arXiv
Year: 2017
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: Since galaxy clusters sit at the high-end of the mass function, the number of galaxy clusters both massive and concentrated enough to yield particularly large Einstein radii poses useful constraints on cosmological and structure formation models. To date, less than a handful of clusters are known to have Einstein radii exceeding $\sim40$" (for a source at $z_{s}\simeq2$, nominally). Here, we report an addition to that list of the Sunyaev-Zel'dovich (SZ) selected cluster, PLCK G287.0+32.9 ($z=0.38$), the second-highest SZ-mass ($M_{500}$) cluster from the Planck catalog. We present the first strong lensing analysis of the cluster, identifying 20 sets of multiply-imaged galaxies and candidates in new \emph{Hubble Space Telescope} data, including a long, $l\sim22$" giant arc, as well as a quadruply-imaged, apparently bright (magnified to J$_{F110W}=$25.3 AB), likely high-redshift dropout galaxy at $z_{phot}=6.90$ [6.13--8.43] (95\% C.I.). Our analysis reveals a very large critical area (1.55 arcmin$^{2}$, $z_{s}\simeq2$), corresponding to an effective Einstein radius of $θ_{E}\sim42$". The model suggests the critical area will expand to 2.58 arcmin$^{2}$ ($θ_{E}\sim54$") for sources at $z_{s}\sim10$. Our work adds to recent efforts to model very massive clusters towards the launch of the James Webb Space Telescope, in order to identify the most useful cosmic lenses for studying the early Universe. Spectroscopic redshifts for the multiply-imaged galaxies and additional HST data will be necessary for refining the lens model and verifying the nature of the $z\sim7$ dropout.
description: Published in ApJL; 8 pages, 5 figures, 1 table; V2: accepted version
Reliable Spanners for Metric Spaces
Creators: name: Har-Peled, Sariel
name: Mendel, Manor
name: Oláh, Dániel
Publisher: name: arXiv
Year: 2020
Subjects: subject: Computational Geometry (cs.CG)
subject: Discrete Mathematics (cs.DM)
subject: FOS: Computer and information sciences
subject: G.2.2; C.2.1

description: A spanner is reliable if it can withstand large, catastrophic failures in the network. More precisely, any failure of some nodes can only cause a small damage in the remaining graph in terms of the dilation, that is, the spanner property is maintained for almost all nodes in the residual graph. Constructions of reliable spanners of near linear size are known in the low-dimensional Euclidean settings. Here, we present new constructions of reliable spanners for planar graphs, trees and (general) metric spaces.
description: 29 pages, Full version after review
High-Dimensional Materials and Process Optimization using Data-driven Experimental Design with Well-Calibrated Uncertainty Estimates
Creators: name: Ling, Julia
name: Hutchinson, Max
name: Antono, Erin
name: Paradiso, Sean
name: Meredig, Bryce
Publisher: name: arXiv
Year: 2017
Subjects: subject: Machine Learning (stat.ML)
subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: The optimization of composition and processing to obtain materials that exhibit desirable characteristics has historically relied on a combination of scientist intuition, trial and error, and luck. We propose a methodology that can accelerate this process by fitting data-driven models to experimental data as it is collected to suggest which experiment should be performed next. This methodology can guide the scientist to test the most promising candidates earlier, and can supplement scientific intuition and knowledge with data-driven insights. A key strength of the proposed framework is that it scales to high-dimensional parameter spaces, as are typical in materials discovery applications. Importantly, the data-driven models incorporate uncertainty analysis, so that new experiments are proposed based on a combination of exploring high-uncertainty candidates and exploiting high-performing regions of parameter space. Over four materials science test cases, our methodology led to the optimal candidate being found with three times fewer required measurements than random guessing on average.
Primary Observables for Top Quark Collider Signals
Creators: name: Bradshaw, Layne
name: Chang, Spencer
Publisher: name: arXiv
Year: 2023
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: At the HL-LHC and future high energy colliders, a sample of a billion top quarks will be produced, allowing precision searches for new physics in top quark decay and production. To aid in this endeavor, we characterize the independent three and four point on-shell amplitudes involving top quarks, under the assumption of $SU(3)_c\times U(1)_{em}$ invariance. The four point amplitudes factorize into primary and descendent amplitudes, where descendants are primaries multiplied by Mandelstam variables. By enumerating the allowed amplitudes, we can check for amplitude redundancies to find the number of independent terms and convert those into a Lagrangian which parameterizes these amplitudes. These results are then cross checked by utilizing the Hilbert series to count the number of independent Lagrangian operators. Interestingly, we find situations where the Hilbert series has cancellations which, if naïvely interpreted, would lead to the incorrect conclusion that that there are no primary operators at a given mass dimension. We characterize the four fermion ($ffff$) and two fermion, two gauge boson ($ffVV$) operators respectively up to dimension 12 and 13. Finally, by combining unitarity bounds on the coupling strengths and simple estimates of the branching ratio sensitivities, we highlight interesting amplitudes for top quark decay that should be studied more closely at the HL-LHC. Of those highlighted, there are both new charge current and flavor changing neutral current decays that occur at dimension 8 and 10 in SMEFT.
description: 37 pages, final published version in PRD
Convergence of Density Approximations for Stochastic Heat Equation
Creators: name: Chen, Chuchu
name: Cui, Jianbo
name: Hong, Jialin
name: Sheng, Derui
Publisher: name: arXiv
Year: 2020
Subjects: subject: Probability (math.PR)
subject: Numerical Analysis (math.NA)
subject: FOS: Mathematics

description: This paper investigates the convergence of density approximations for stochastic heat equation in both uniform convergence topology and total variation distance. The convergence order of the densities in uniform convergence topology is shown to be exactly $1/2$ in the nonlinear case and nearly $1$ in the linear case. This result implies that the distributions of the approximations always converge to the distribution of the origin equation in total variation distance. As far as we know, this is the first result on the convergence of density approximations to the stochastic partial differential equation.
Yoga in rehabilitation: The lived experiences of women’s health patients. A systematic review.
Creators: name: Depa, Nicole
name: Furness, James
name: Kemp-Smith, Kevin
name: Abery, Philip
name: Cordie Elliott
name: Tayah Cross
Publisher: name: OSF Registries
Year: 2023
Subjects: subject: Medicine and Health Sciences
subject: Social and Behavioral Sciences
subject: Engineering
subject: Alternative Therapy
subject: Complementary Therapy
subject: Experiences
subject: Motivation
subject: Perception
subject: Physical Therapy
subject: Physiotherapy
subject: Psyschosocial
subject: Rehabilitation
subject: Well-being
subject: Wellbeing
subject: Yoga

description: Within the realm of women's health, it is crucial to recognise and promote the empowerment and overall wellbeing of women in our society. Among the various conditions within women’s health, some common conditions include endometriosis, pregnancy, menopause, and cancer. Currently, there are numerous conventional therapies used by women to manage their symptoms. Some of which include medications, surgery, chemotherapy, targeted radiation, immunotherapy, and traditional exercise. However, these conventional therapies are often associated with significant challenges such as over-prescription of medications, misuse of pharmaceutical interventions, and harmful side effects. Therefore, it is important to offer an alternative therapy such as yoga, as it is a holistic approach which may foster spiritual wellbeing, connection, optimism, and positive readiness. Although conventional therapies are commonly integrated into patient care, yoga has demonstrated its viability as a rehabilitation method within therapeutic healthcare. This systematic review aims to provide an update on the published literature by focusing on the qualitative experiences of female patients within the rehabilitative context. Highlighting the key domains in which they feel yoga is beneficial to them and their overall health. Another aim is to understand the perceptions, motivations, and experiences of women who are incorporating yoga into their treatment.
Commissioning of the novel Continuous Angle Multi-Energy Analysis Spectrometer at the Paul Scherrer Institut
Creators: name: Lass, Jakob
name: Jacobsen, Henrik
name: Krighaar, Kristine M. L.
name: Graf, Dieter
name: Groitl, Felix
name: Herzog, Frank
name: Yamada, Masako
name: Kägi, Christian
name: Müller, Raphael
name: Bürge, Roman
name: Schild, Marcel
name: Lehmann, Manuel S.
name: Bollhalder, Alex
name: Keller, Peter
name: Bartkowiak, Marek
name: Filges, Uwe
name: Greuter, Urs
name: Theidel, Gerd
name: Rønnow, Henrik M.
name: Niedermayer, Christof
name: Mazzone, Daniel G.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Instrumentation and Detectors (physics.ins-det)
subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: We report on the commissioning results of the cold neutron multiplexing secondary spectrometer CAMEA (\textbf{C}ontinuous \textbf{A}ngle \textbf{M}ulti-\textbf{E}nergy \textbf{A}nalysis) at the Swiss Spallation Neutron Source (SINQ) at the Paul Scherrer Institut, Switzerland. CAMEA is optimized for an efficient data acquisition of scattered neutrons in the horizontal scattering plane, allowing for detailed and rapid mapping of low-energy excitations under extreme sample environment conditions.
Integrating by parts at finite density
Creators: name: Österman, Juuso
name: Schicho, Philipp
name: Vuorinen, Aleksi
Publisher: name: arXiv
Year: 2023
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Theory (hep-th)
subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: Both nonzero temperature and chemical potentials break the Lorentz symmetry present in vacuum quantum field theory by singling out the rest frame of the heat bath. This leads to complications in the application of thermal perturbation theory, including the appearance of novel infrared divergences in loop integrals and an apparent absence of four-dimensional integration-by-parts (IBP) identities, vital for high-order computations. Here, we propose a new strategy that enables the use of IBP techniques in the evaluation of Feynman integrals, in particular vacuum or bubble diagrams, in the limit of vanishing temperature $T$ but nonzero chemical potentials $μ$. The central elements of the new setup include a contour representation for the temporal momentum integral, the use of a small but nonzero $T$ as an IR regulator, and the systematic application of both temporal and spatial differential operators in the generation of linear relations among the loop integrals of interest. The relations we derive contain novel inhomogeneous terms featuring differentiated Fermi-Dirac distribution functions, which severely complicate calculations at nonzero temperature, but are shown to reduce to solvable lower-dimensional objects as $T$ tends to zero. Pedagogical example computations are kept at the one- and two-loop levels, but the application of the new method to higher-order calculations is discussed in some detail.
description: 48 pages, 1 figure, structural revisions and clarifications added, matches published version (v3)
Combinatorial distance geometry in normed spaces
Creators: name: Swanepoel, Konrad J.
Publisher: name: arXiv
Year: 2017
Subjects: subject: Metric Geometry (math.MG)
subject: Combinatorics (math.CO)
subject: FOS: Mathematics
subject: 52C10 (primary), 46B20, 52A20, 52A21 (secondary)

description: We survey problems and results from combinatorial geometry in normed spaces, concentrating on problems that involve distances. These include various properties of unit-distance graphs, minimum-distance graphs, diameter graphs, as well as minimum spanning trees and Steiner minimum trees. In particular, we discuss translative kissing (or Hadwiger) numbers, equilateral sets, and the Borsuk problem in normed spaces. We show how to use the angular measure of Peter Brass to prove various statements about Hadwiger and blocking numbers of convex bodies in the plane, including some new results. We also include some new results on thin cones and their application to distinct distances and other combinatorial problems for normed spaces.
description: 43 pages, 4 figures, New Trends in Intuitive Geometry, Springer, to appear
Effect of Graphene Interface on Potassiation in a Graphene- Selenium Heterostructure Cathode for Potassium-ion Batteries
Creators: name: Sharma, Vidushi
name: Datta, Dibakar
Publisher: name: arXiv
Year: 2023
Subjects: subject: Applied Physics (physics.app-ph)
subject: Chemical Physics (physics.chem-ph)
subject: FOS: Physical sciences

description: Selenium (Se) cathodes are an exciting emerging high energy density storage system for Potassium ion batteries(KIB), where potassiation reactions are less understood. Here, we present an atomic-level investigation of KxSe cathode enclosed in hexagonal lattices of carbon(C) characteristic of multilayered graphene matrix and multiwalled carbon nanotubes (MW-CNTs). Microstructural changes directed by graphene substrate in KxSe cathode are contrasted with graphene-free cathode. Graphene's binding affinity for long-chain polyselenides (Se-Se-Se = -2.82 eV and Se-Se = -2.646 eV) and ability to induce reactivity between Se and K are investigated. Furthermore, intercalation voltage for graphene enclosed KxSe cathode reaction intermediates are calculated with K2Se as the final discharged product. Our results indicate a single-step reaction near a voltage of 1.55 V between K and Se cathode. Our findings suggest that operating at higher voltages (~2V) could result in the formation of reaction intermediates where intercalation/deintercalation of K could be a challenge, and therefore cause irreversible capacity losses in the battery. Primary issues are the high binding energy of long-chain polyselenides with graphene that discourage K storage and Se-Se bond dissociation at low K concentrations. A comparison with graphene-free cathode highlights the substantial changes a van der Waals (vdW) graphene interface can bring in atomic-structure and electrochemistry of the KxSe cathode.
description: 7 Figures and 1 Table
Gas Accretion and Star-Formation Rates with IFUs and Background Quasars
Creators: name: Bouché, Nicolas F.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: Star-forming galaxies (SFGs) are forming stars at a regular pace, forming the so-called main sequence (MS). However, all studies of their gas content show that their gas reservoir ought to be depleted in 0.5-2 Gyr. Thus, SFGs are thought to be fed by the continuous accretion of intergalactic gas in order to sustain their star-formation activity. However, direct observational evidence for this accretion phenomenon has been elusive. Theoretically, the accreted gas coming from the intergalactic medium is expected to orbit about the halo, delivering not just fuel for star-formation but also angular momentum to the galaxy. This accreting material is thus expected to form a gaseous structure that should be co-rotating with the host once at $r<0.3\;R_{\rm vir}$ or $r<10-30$ kpc. Because of the rough alignment between the star-forming disk and this extended gaseous structure, the accreting material can be most easily detected with the combination of background quasars and integral field units (IFUs). In this chapter, accretion studies using this technique are reviewed.
description: Invited review to appear in Gas Accretion onto Galaxies, Astrophysics and Space Science Library, eds. A. J. Fox & R. Dav\'e, in press (version matching proofs)
Pentaquark states with hidden charm
Creators: name: Bijker, Roelof
Publisher: name: arXiv
Year: 2017
Subjects: subject: Nuclear Theory (nucl-th)
subject: High Energy Physics - Experiment (hep-ex)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: Nuclear Experiment (nucl-ex)
subject: FOS: Physical sciences

description: I develop an extension of the usual three-flavor quark model to four flavors (u, d, s and c), and discuss the classification of pentaquark states with hidden charm. This work is motivated by the recent observation of such states by the LHCb Collatoration at CERN.
description: 6 pages, 1 figure, 3 table, plenary talk at XL Symposium on Nuclear Physics, Cocoyoc, Mexico, January 5-8, 2017. To be published in Journal of Physics: Conference Series
A new family of semi-implicit Finite Volume / Virtual Element methods for incompressible flows on unstructured meshes
Creators: name: Boscheri, Walter
name: Chiozzi, Andrea
name: Carlino, Michele Giuliano
name: Bertaglia, Giulia
Publisher: name: arXiv
Year: 2023
Subjects: subject: Numerical Analysis (math.NA)
subject: Computational Engineering, Finance, and Science (cs.CE)
subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Mathematics
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: We introduce a new family of high order accurate semi-implicit schemes for the solution of non-linear hyperbolic partial differential equations on unstructured polygonal meshes. The time discretization is based on a splitting between explicit and implicit terms that may arise either from the multi-scale nature of the governing equations, which involve both slow and fast scales, or in the context of projection methods, where the numerical solution is projected onto the physically meaningful solution manifold. We propose to use a high order finite volume (FV) scheme for the explicit terms, ensuring conservation property and robustness across shock waves, while the virtual element method (VEM) is employed to deal with the discretization of the implicit terms, which typically requires an elliptic problem to be solved. The numerical solution is then transferred via suitable L2 projection operators from the FV to the VEM solution space and vice-versa. High order time accuracy is achieved using the semi-implicit IMEX Runge-Kutta schemes, and the novel schemes are proven to be asymptotic preserving and well-balanced. As representative models, we choose the shallow water equations (SWE), thus handling multiple time scales characterized by a different Froude number, and the incompressible Navier-Stokes equations (INS), which are solved at the aid of a projection method to satisfy the solenoidal constraint of the velocity field. Furthermore, an implicit discretization for the viscous terms is devised for the INS model, which is based on the VEM technique. Consequently, the CFL-type stability condition on the maximum admissible time step is based only on the fluid velocity and not on the celerity nor on the viscous eigenvalues. A large suite of test cases demonstrates the accuracy and the capabilities of the new family of schemes to solve relevant benchmarks in the field of incompressible fluids.
Charge partitioning and anomalous hole doping in Rh-doped Sr2IrO4
Creators: name: Chikara, S.
name: Fabbris, G.
name: Terzic, J.
name: Cao, G.
name: Khomskii, D.
name: Haskel, D.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences
subject: J.2

description: The simultaneous presence of sizable spin-orbit interactions and electron correlations in iridium oxides has led to predictions of novel ground states including Dirac semimetals, Kitaev spin liquids, and superconductivity. Electron and hole doping studies of spin-orbit assisted Mott insulator Sr2IrO4 are being intensively pursued due to extensive parallels with the La2CuO4 parent compound of Cuprate superconductors. In particular, the mechanism of charge doping associated with replacement of Ir with Rh ions remains controversial with profound consequences for the interpretation of electronic structure and transport data. Using x-ray absorption near edge structure (XANES) measurements at the Rh L, K- and Ir L- edges we observe anomalous evolution of charge partitioning between Rh and Ir with Rh doping. The partitioning of charge between Rh and Ir sites progresses in a way that holes are initially doped into the Jeff=1/2 band at low x only to be removed from it at higher x values. This anomalous hole doping naturally explains the re-entrant insulating phase in the phase diagram of Rh doped Sr2IrO4 and ought to be considered when searching for superconductivity and other emergent phenomena in iridates doped with 4d elements
description: Accepted to be published in PRB Rapid Communications, https://journals.aps.org/prb/accepted/75073OcbL8cE901092c69c34262f259d8151b3cff
Molecular Gas Properties on Cloud Scales Across the Local Star-forming Galaxy Population
Creators: name: Sun, Jiayi
name: Leroy, Adam K.
name: Schinnerer, Eva
name: Hughes, Annie
name: Rosolowsky, Erik
name: Querejeta, Miguel
name: Schruba, Andreas
name: Liu, Daizhong
name: Saito, Toshiki
name: Herrera, Cinthya N.
name: Faesi, Christopher
name: Usero, Antonio
name: Pety, Jérôme
name: Kruijssen, J. M. Diederik
name: Ostriker, Eve C.
name: Bigiel, Frank
name: Blanc, Guillermo A.
name: Bolatto, Alberto D.
name: Boquien, Médéric
name: Chevance, Mélanie
name: Dale, Daniel A.
name: Deger, Sinan
name: Emsellem, Eric
name: Glover, Simon C. O.
name: Grasha, Kathryn
name: Groves, Brent
name: Henshaw, Jonathan
name: Jimenez-Donaire, Maria J.
name: Kim, Jenny J.
name: Klessen, Ralf S.
name: Kreckel, Kathryn
name: Lee, Janice C.
name: Meidt, Sharon
name: Sandstrom, Karin
name: Sardone, Amy E.
name: Utomo, Dyas
name: Williams, Thomas G.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: Using the PHANGS-ALMA CO (2-1) survey, we characterize molecular gas properties on ${\sim}$100 pc scales across 102,778 independent sightlines in 70 nearby galaxies. This yields the best synthetic view of molecular gas properties on cloud scales across the local star-forming galaxy population obtained to date. Consistent with previous studies, we observe a wide range of molecular gas surface densities (3.4 dex), velocity dispersions (1.7 dex), and turbulent pressures (6.5 dex) across the galaxies in our sample. Under simplifying assumptions about sub-resolution gas structure, the inferred virial parameters suggest that the kinetic energy of the molecular gas typically exceeds its self-gravitational binding energy at ${\sim}$100 pc scales by a modest factor (1.3 on average). We find that the cloud-scale surface density, velocity dispersion, and turbulent pressure (1) increase towards the inner parts of galaxies, (2) are exceptionally high in the centers of barred galaxies (where the gas also appears less gravitationally bound), and (3) are moderately higher in spiral arms than in inter-arm regions. The galaxy-wide averages of these gas properties also correlate with the integrated stellar mass, star formation rate, and offset from the star-forming main sequence of the host galaxies. These correlations persist even when we exclude regions with extraordinary gas properties in galaxy centers, which contribute significantly to the inter-galaxy variations. Our results provide key empirical constraints on the physical link between molecular cloud populations and their galactic environment.
description: 9 pages + appendices, ApJL in press. Data tables available at https://www.canfar.net/storage/list/phangs/RELEASES/Sun_etal_2020b
Versatile Strain-Tuning of Modulated Long-Period Magnetic Structures
Creators: name: Fobes, David M.
name: Luo, Yongkang
name: Leon-Brito, N.
name: Bauer, E. D.
name: Fanelli, V. R.
name: Taylor, M. A.
name: Debeer-Schmitt, L. M.
name: Janoschek, M.
Publisher: name: arXiv
Year: 2017
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: We report a detailed small-angle neutron scattering (SANS) study of the skyrmion lattice phase of MnSi under compressive and tensile strain. In particular, we demonstrate that tensile strain applied in the skyrmion lattice plane, perpendicular to the magnetic field, acts to destabilize the skyrmion lattice phase. This experiment was enabled by our development of a versatile strain cell, unique in its ability to select the application of either tensile or compressive strain in-situ by using two independent helium-actuated copper pressure transducers, whose design has been optimized for magnetic SANS on modulated long-period magnetic structures and vortex lattices, and is compact enough to fit in common sample environments, such as cryostats and superconducting magnets.
description: 5 pages, 4 figures
Decompositions of moduli spaces of vector bundles and graph potentials
Creators: name: Belmans, Pieter
name: Galkin, Sergey
name: Mukhopadhyay, Swarnava
Publisher: name: arXiv
Year: 2020
Subjects: subject: Algebraic Geometry (math.AG)
subject: Geometric Topology (math.GT)
subject: Quantum Algebra (math.QA)
subject: Symplectic Geometry (math.SG)
subject: FOS: Mathematics

description: We propose a conjectural semiorthogonal decomposition for the derived category of the moduli space of stable rank 2 bundles with fixed determinant of odd degree, independently formulated by Narasimhan. We discuss some evidence for, and furthermore propose semiorthogonal decompositions with additional structure. We also discuss two other decompositions. One is a decomposition of this moduli space in the Grothendieck ring of varieties, which relates to various known motivic decompositions. The other is the critical value decomposition of a candidate mirror Landau-Ginzburg model given by graph potentials, which in turn is related under mirror symmetry to Munoz's decomposition of quantum cohomology. This corresponds to an orthogonal decomposition of the Fukaya category. We will explain how these decompositions can be seen as evidence for the conjectural semiorthogonal decomposition.
description: 32 pages; the initial arXiv submission has been split into 3 pieces and new results were added, the other 2 pieces will appear soon
Low-Power Data Streaming in Systolic Arrays with Bus-Invert Coding and Zero-Value Clock Gating
Creators: name: Peltekis, C.
name: Filippas, D.
name: Dimitrakopoulos, G.
name: Nicopoulos, C.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Hardware Architecture (cs.AR)
subject: FOS: Computer and information sciences

description: Systolic Array (SA) architectures are well suited for accelerating matrix multiplications through the use of a pipelined array of Processing Elements (PEs) communicating with local connections and pre-orchestrated data movements. Even though most of the dynamic power consumption in SAs is due to multiplications and additions, pipelined data movement within the SA constitutes an additional important contributor. The goal of this work is to reduce the dynamic power consumption associated with the feeding of data to the SA, by synergistically applying bus-invert coding and zero-value clock gating. By exploiting salient attributes of state-of-the-art CNNs, such as the value distribution of the weights, the proposed SA applies appropriate encoding only to the data that exhibits high switching activity. Similarly, when one of the inputs is zero, unnecessary operations are entirely skipped. This selectively targeted, application-aware encoding approach is demonstrated to reduce the dynamic power consumption of data streaming in CNN applications using Bfloat16 arithmetic by 1%-19%. This translates to an overall dynamic power reduction of 6.2%-9.4%.
description: International Conference on Modern Circuits and Systems Technologies (MOCAST)
Combined threshold and transverse momentum resummation for inclusive observables
Creators: name: Muselli, Claudio
name: Forte, Stefano
name: Ridolfi, Giovanni
Publisher: name: arXiv
Year: 2017
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We present a combined resummation for the transverse momentum distribution of a colorless final state in perturbative QCD, expressed as a function of transverse momentum pt and the scaling variable x. Its expression satisfies three requirements: it reduces to standard transverse momentum resummation to any desired logarithmic order in the limit pt-> 0 for fixed x, up to power suppressed corrections in pt; it reduces to threshold resummation to any desired logarithmic order in the limit x-> 1 for fixed pt, up to power suppressed correction in 1-x; upon integration over transverse momentum it reproduces the resummation of the total cross cross at any given logarithmic order in the threshold x->1 limit. Its main ingredient, and our main new result, is a modified form of transverse momentum resummation, which leads to threshold resummation upon integration over pt, and for which we provide a simple closed-form analytic expression in Fourier-Mellin (b,N) space. We give explicit coefficients up to NNLL order for the specific case of Higgs production in gluon fusion in the effective field theory limit. Our result allows for a systematic improvement of the transverse momentum distribution through threshold resummation which holds for all pt, and elucidates the relation between transverse momentum resummation and threshold resummation at the inclusive level, specifically by providing within perturbative QCD a simple derivation of the main consequence of the so-called collinear anomaly of SCET.
description: TIF-UNIMI-2016-11. Final version, to be published in JHEP. Modified references to the collinear anomaly; typos corrected in eqs 2.16, 2.18, 2.25, 3.7
Local alpha-removal strength in the mean-field approximation
Creators: name: Nakatsukasa, Takashi
name: Hinohara, Nobuo
Publisher: name: arXiv
Year: 2023
Subjects: subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: The local alpha strength is proposed to quantify the possibility to form an alpha particle at a specific location inside the nucleus. It also provides the strength of ground and excited states in the residual nuclei after the removal of the alpha particle. We use the Hartree-Fock-plus-BCS (HF+BCS) method in the calculation of the local alpha strengths for Sn isotopes. The local alpha strengths are easily calculable and the results are consistent with recent experimental data for Sn isotopes.
description: 11 pages, 10 figures
Projection Free Rank-Drop Steps
Creators: name: Cheung, Edward
name: Li, Yuying
Publisher: name: arXiv
Year: 2017
Subjects: subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: The Frank-Wolfe (FW) algorithm has been widely used in solving nuclear norm constrained problems, since it does not require projections. However, FW often yields high rank intermediate iterates, which can be very expensive in time and space costs for large problems. To address this issue, we propose a rank-drop method for nuclear norm constrained problems. The goal is to generate descent steps that lead to rank decreases, maintaining low-rank solutions throughout the algorithm. Moreover, the optimization problems are constrained to ensure that the rank-drop step is also feasible and can be readily incorporated into a projection-free minimization method, e.g., Frank-Wolfe. We demonstrate that by incorporating rank-drop steps into the Frank-Wolfe algorithm, the rank of the solution is greatly reduced compared to the original Frank-Wolfe or its common variants.
Raw data and GWAS results
Creators: name: Sabag, Idan
Publisher: name: figshare
Year: 2024
Subjects: classificationCode: 300406
subject: Crop and pasture improvement (incl. selection and breeding)
classificationCode: 300403
subject: Agronomy

description: This folder contains the manuscript's phenotypic data and genomic information as well as GWAS results for all models and all time points.
Magnetism-induced band-edge shift as mechanism for magnetoconductance in CrPS$_4$ transistors
Creators: name: Wu, Fan
name: Gibertini, Marco
name: Watanabe, Kenji
name: Taniguchi, Takashi
name: Gutiérrez-Lezama, Ignacio
name: Ubrig, Nicolas
name: Morpurgo, Alberto F.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: Transistors realized on 2D antiferromagnetic semiconductor CrPS$_4$ exhibit large magnetoconductance, due to magnetic-field-induced changes in magnetic state. The microscopic mechanism coupling conductance and magnetic state is not understood. We identify it by analyzing the evolution of the parameters determining the transistor behavior -- carrier mobility and threshold voltage -- with temperature and magnetic field. For temperatures T near the Néel temperature $T_N$, the magnetoconductance originates from a mobility increase due to the applied magnetic field that reduces spin fluctuation induced disorder. For $T << T_N$, instead, what changes is the threshold voltage, so that increasing the field at fixed gate voltage increases the density of accumulated electrons. The phenomenon is explained by a conduction band-edge shift correctly predicted by \emph{ab-initio} calculations. Our results demonstrate that the bandstructure of CrPS$_4$ depends on its magnetic state and reveal a mechanism for magnetoconductance that had not been identified earlier.
The extragalactic background light revisited and the cosmic photon-photon opacity
Creators: name: Franceschini, Alberto
name: Rodighiero, Giulia
Publisher: name: arXiv
Year: 2017
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: In addition to its relevant astrophysical and cosmological significance, the Extragalactic Background Light (EBL) is a fundamental source of opacity for cosmic high energy photons, as well as a limitation for the propagation of high-energy particles in the Universe. We review our previously published determinations of the EBL photon density in the Universe and its evolution with cosmic time, in the light of recent surveys of IR sources at long wavelengths. We exploit deep survey observations by the Herschel Space Observatory and the Spitzer telescope, matched to optical and near-IR photometric and spectroscopic data, to re-estimate number counts and luminosity functions longwards of a few microns, and the contribution of resolved sources to the EBL. These new data indicate slightly lower photon densities in the mid- and far-infrared and sub-millimeter compared to previous determinations. This implies slightly lower cosmic opacity for photon-photon interactions. The new data do not modify previously published EBL modeling in the UV-optical and near-IR up to several microns, while reducing the photon density at longer wavelengths. This improved model of the EBL alleviates some tension that had emerged in the interpretation of the highest-energy TeV observations of local \textit{blazar}s, reducing the case for new physics beyond the standard model (like violations of the Lorenz Invariance, LIV, at the highest particle energies), or for exotic astrophysics, that had sometimes been called for to explain it. Applications of this improved EBL model on current data are considered, as well as perspectives for future instrumentation, the Cherenkov Telescope Array (CTA) in particular.
description: 19 pages, tables included, to appear in Astronomy and Astrophysics
Optimal Investment on Series FACTS Devices Considering Contingencies
Creators: name: Zhang, Xiaohu
name: Tomsovic, Kevin
name: Dimitrovski, Aleksandar
Publisher: name: arXiv
Year: 2017
Subjects: subject: Optimization and Control (math.OC)
subject: FOS: Mathematics

description: Series FACTS devices are capable of relieving congestion and reducing generation costs in the power system. This paper proposes a planning model to optimally allocate TCSCs in the transmission network considering the base case and $N-1$ contingencies. We consider a single target year and select three distinct load patterns to accommodate the yearly load profile. A reformulation technique is utilized to linearize the nonlinear power flow constraint introduced by a TCSC. Numerical case studies based on the IEEE 118-bus system demonstrate the high performance of the proposed planning model.
description: Preprint of DOI: 10.1109/NAPS.2016.7747948, North American Power Symposium (NAPS), 2016