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Related papers: The Bologna Open Clusters Chemical Evolution proje…

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This is the first of a series of papers that will introduce a user-friendly, detailed, and modular GALactic Chemical Evolution Model, GalCEM, that tracks isotope masses as a function of time in a given galaxy. The list of tracked isotopes…

We present PyCCE, an open-source Python library to simulate the dynamics of spin qubits in a spin bath, using the cluster-correlation expansion (CCE) method. PyCCE includes modules to generate realistic spin baths, employing coupling…

Quantum Physics · Physics 2021-07-14 Mykyta Onizhuk , Giulia Galli

We present two different projects. The first one is related to the development of a semi-analytic model to follow the formation, the evolution and chemical enrichment of cluster galaxies in a hierarchical dark matter model. The second…

Astrophysics · Physics 2007-05-23 Gabriella De Lucia , Guinevere Kauffmann , Simon D. M. White

We present the scientific goals and the very first results of the Bulge Cluster Origin (BulCO) survey. This survey has been specifically designed to perform an unprecedented chemical screening of stellar systems orbiting the Milky Way…

Globular clusters are stellar dynamical systems which evolve on stellar evolutionary and both internal and external dynamical timescales. Quantitative comparison of cluster properties with realistic evolutionary dynamical models is becoming…

Astrophysics · Physics 2007-05-23 Gerard Gilmore

The recent progress in instrumentation and telescope development has brought us different ways to observe protoplanetary disks, including interferometers, space missions, adaptive optics, polarimetry, and time- and spectrally-resolved data.…

Solar and Stellar Astrophysics · Physics 2016-12-21 A. Sicilia-Aguilar , A. Banzatti , A. Carmona , T. Stolker , M. Kama , I Mendigutía , A. Garufi , K. Flaherty , N. van der Marel , J. Greaves

Representing single stellar populations, globular clusters (GCs) are relatively easy to model, thus providing powerful tools for studying the evolution of galaxies. This has been demonstrated for the blue compact galaxy ESO338-IG04. GC…

Astrophysics · Physics 2016-08-30 G. Östlin

The following paper is on the emergence of observable complexity in urban networks visualized as product of essentially non-observable social processes. The methodology unfolded here draws on recent insight of econophysics in the strict…

Other Condensed Matter · Physics 2007-05-23 Rainer E. Zimmermann , Anna Soci

The need for scholarly open data is ever increasing. While there are large repositories of open access articles and free publication indexes, there are still a few examples of free citation networks and their coverage is partial. One of the…

Digital Libraries · Computer Science 2019-02-12 Angelo Di Iorio , Silvio Peroni , Francesco Poggi

In this thesis, we propose several modelling strategies to tackle evolving data in different contexts. In the framework of static clustering, we start by introducing a soft kernel spectral clustering (SKSC) algorithm, which can better deal…

Social and Information Networks · Computer Science 2014-11-24 Rocco Langone

Studying the internal dynamics of stellar clusters is conducted primarily through N-Body simulations. One of the major inputs into N-Body simulations is the binary star frequency and mass distribution, which is currently constrained by…

Solar and Stellar Astrophysics · Physics 2015-11-17 Peter Frinchaboy , Benjamin Thompson

Planning high-energy collision experiments for the next few decades requires extensive Monte Carlo simulations in order to accomplish physics goals of these experiments. Such simulations are essential for understanding fundamental physics…

High Energy Physics - Experiment · Physics 2016-09-16 S. V. Chekanov

The IACOB project is an ambitious long-term project which is contributing to step forward in our knowledge about the physical properties and evolution of Galactic massive stars. The project aims at building a large database of…

An adaptive Monte Carlo localization algorithm based on coevolution mechanism of ecological species is proposed. Samples are clustered into species, each of which represents a hypothesis of the robots pose. Since the coevolution between the…

Robotics · Computer Science 2007-05-23 Luo Ronghua , Hong Bingrong

We introduce an improved code for simulations of star clusters, called MOCCA. It combines the Monte Carlo method for star cluster evolution and the Fewbody code to perform scattering experiments. The Fewbody was added in order to track more…

Astrophysics of Galaxies · Physics 2015-06-05 Arkadiusz Hypki , Mirek Giersz

Context. Open clusters provide valuable information on stellar nucleosynthesis and the chemical evolution of the Galactic disc, as their age and distances can be measured more precisely with photometry than for field stars. Aims. Our aim is…

Star clusters are superb astrophysical laboratories containing cospatial and coeval samples of stars with similar chemical composition. We have initiated the Sejong Open cluster Survey (SOS) - a project dedicated to providing homogeneous…

Solar and Stellar Astrophysics · Physics 2015-06-16 Hwankyung Sung , Beomdu Lim , Michael S. Bessell , Jinyoung S. Kim , Hyenoh Hur , Moo-Young Chun , Byeong-Gon Park

With the continuous development of business process management technology, the increasing business process models are usually owned by large enterprises. In large enterprises, different stakeholders may modify the same business process…

Software Engineering · Computer Science 2023-03-31 Linyue Liu , Xi Guo , Chun Ouyang , Patrick C. K. Hung , Hong-Yu Zhang , Keqing He , Chen Mo , Zaiwen Feng

A long-term project, aiming at systematic search for variable stars in Galactic Open Clusters, was started at the Geneva Observatory in 2002. We have been observing regularly a sample of twenty-seven Galactic Open Clusters in the U, B, V…

Solar and Stellar Astrophysics · Physics 2015-05-13 Claudia Greco , Nami Mowlavi , Laurent Eyer , Maxime Spano , Mihaly Varadi , Gilbert Burki

Evolutionary multi-objective clustering (EMOC), a modern clustering technique, has been widely applied to extract patterns, allowing us to analyze different aspects of complex data by considering multiple criteria. In this article, we…

Machine Learning · Computer Science 2022-04-04 Cristina Y. Morimoto , Aurora Pozo , Marcílio C. P. de Souto