1,447,416 research outputs found
Specifieke Aspecten TunnelOntwerp (SATO)
No full textSATO omvat aspecten van het ontwerp van tunnels. In SATO wordt per deel op een aspect van het ontwerp van tunnels en aquaducten ingegaan. Deel 2 omvat de dwars- en langsprofielen in tunnels en aquaducten. In deel 3 worden bouwmethoden omschreven en deel 4 omvat toegepaste rekenmethoden. Details van tunnels zijn in deel 5 vastgelegd, kostenramingen in deel 6. De opbouw en eisen aan elektromechanische installaties zijn in deel 7 van SATO opgenomen. Tot slot zijn de aspecten van afgezonken tunnels tijdens de uitvoering in deel 8 vastgelegd
SimpleBounce: A simple package for the false vacuum decay
No full textWe present SimpleBounce, a C++ package for finding the bounce solution for the false vacuum decay. This package is based on a flow equation which is proposed by the author R. Sato (2020) and solves Coleman–Glaser–Martin’s reduced problem (S. R. Coleman et al. 1978): the minimization problem of the kinetic energy while fixing the potential energy. The bounce configuration is obtained by a scale transformation of the solution of this problem. For models with 1–8 scalar field(s), the bounce action can be calculated with O(0.1) % accuracy in O(0.1) s. This package is available at http://github.com/rsato64/SimpleBounce
Machine-learning the Sato-Tate conjecture
No full textWe apply some of the latest techniques from machine-learning to the arithmetic of hyperelliptic curves. More precisely we show that, with impressive accuracy and confidence (between 99 and 100 percent precision), and in very short time (matter of seconds on an ordinary laptop), a Bayesian classifier can distinguish between Sato–Tate groups given a small number of Euler factors for the L-function. Our observations are in keeping with the Sato-Tate conjecture for curves of low genus. For elliptic curves, this amounts to distinguishing generic curves (with Sato–Tate group SU(2)) from those with complex multiplication. In genus 2, a principal component analysis is observed to separate the generic Sato–Tate group USp(4) from the non-generic groups. Furthermore in this case, for which there are many more non-generic possibilities than in the case of elliptic curves, we demonstrate an accurate characterisation of several Sato–Tate groups with the same identity component. Throughout, our observations are verified using known results from the literature and the data available in the LMFDB. The results in this paper suggest that a machine can be trained to learn the Sato–Tate distributions and may be able to classify curves efficiently
Preprint: Machine-Learning the Sato-Tate Conjecture
No full textWe apply some of the latest techniques from machine-learning to the arithmetic of hyperelliptic curves. More precisely we show that, with impressive accuracy and confidence (between 99 and 100 percent precision), and in very short time (matter of seconds on an ordinary laptop), a Bayesian classifier can distinguish between Sato-Tate groups given a small number of Euler factors for the L-function. Our observations are in keeping with the Sato-Tate conjecture for curves of low genus. For elliptic curves, this amounts to distinguishing generic curves (with Sato-Tate group SU(2)) from those with complex multiplication. In genus 2, a principal component analysis is observed to separate the generic Sato-Tate group USp(4) from the non-generic groups. Furthermore in this case, for which there are many more non-generic possibilities than in the case of elliptic curves, we demonstrate an accurate characterisation of several Sato-Tate groups with the same identity component. Throughout, our observations are verified using known results from the literature and the data available in the LMFDB. The results in this paper suggest that a machine can be trained to learn the Sato-Tate distributions and may be able to classify curves much more efficiently than the methods available in the literature
Resolving a Replication That Failed: News on the Macy & Sato Model
No full textThe paper at hand aimes at identifying the assumptions that lead to the results presented in an article by Michael Macy and Yoshimichi Sato published in PNAS. In answer to a failed replication, the authors provided the source code of their model and here the results of carefully studying that code are presented. The main finding is that the simulation program implements an assumption that is most probably an unwilling, unintended, and unwanted implication of the code. This implied assumption is never mentioned in Macy and Sato's article and if the authors wanted to program what they describe in their article then it is due to a programming error. After introducing the reader to the discussion, data that stem from a new replication based on the assumptions extracted from the source code is compared with the results published in Macy and Sato's original article. The replicated results are sufficiently similar to serve as a strong indicator that this new replication implements the same relevant assumptions as the original model. Afterwards it is shown that a removal of the dubious assumption leads to results that are dramatically different from those published in Macy and Sato's PNAS article.Replication, Social Dilemma Situations, Trust, Simulation Methodology, Cooperation
"Robustness of the Separating Information Maximum Likelihood Estimation of Realized Volatility with Micro-Market Noise"
No full textFor estimating the realized volatility and covariance by using high frequency data, Kunitomo and Sato (2008a,b) have proposed the Separating Information Maximum Likelihood (SIML) method when there are micro-market noises. The SIML estimator has reasonable asymptotic properties; it is consistent and it has the asymptotic normality (or the stable convergence in the general case) when the sample size is large under general conditions including non-Gaussian processes and volatility models. We also show that the SIML estimator has the asymptotic robustness in the sense that it is consistent and it has the asymptotic normality when there are autocorrelations in the market noise terms and there are endogenous correlations between the signal and noise terms.
Carta de Daihachiro Sato a Ferran Sunyer
No full textCarta escrita per Daihachiro Sato, de la University of Saskatchewan Regina Campus, Division of Natural Sciences, (Regina, Canadà). Li parla d'una carta que ha rebut per un reenviament del professor Ralph P. Boas de la NorthWestern University
Carta de Daihachiro Sato a Ferran Sunyer
No full textCarta de Daihachiro Sato, per agrair-li l'enviament de les separates del seu treball sobre funcions enteres i dir que està content de conèixer-ne els interessants resultats. En nom de la seva dona, li agraeix també els segells d'Espanya que li ha enviat
Joseph Masahiro Sato: interviews on May 9 and 16, 1984
No full textTranscript (typescript, 26 pages) of two interviews with Joseph Masahiro Sato, a Japanese-American living in Utah in 1984. Mr. Sato (b. 1900) recalls his childhood in Japan, working in Tokyo, and getting a job on an ocean liner, then leaving ship in Texas to work there and in Denver, Colorad
Supercongruences Arising from Ramanujan-Sato Series
No full textRecently, the authors with Lea Beneish established a recipe for constructing Ramanujan-Sato series for 1/π, and used this to construct 11 explicit examples of Ramanujan-Sato series arising from modular forms for arithmetic triangle groups of non-compact type. Here, we use work of Chisholm, Deines, Long, Nebe and the third author to prove a general p-adic supercongruence theorem through an explicit connection to CM hypergeometric elliptic curves that provides p-adic analogues of these Ramanujan-Sato series. We further use this theorem to construct explicit examples related to each of our explicit Ramanujan-Sato series examples
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