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Related papers: The Bologna Open Clusters Chemical Evolution proje…

200 papers

Open Clusters are born and evolve along the Milky Way plane, on them is imprinted the history of the Galactic disc, including the chemical and dynamical evolution. Chemical and dynamical properties of open clusters can be derived from…

Context. The inner disc, linking the thin disc with the bulge, has been somehow neglected in the past because of intrinsic difficulties in its study, due, e.g., to crowding and high extinction. Open clusters located in the inner disc are…

The Collaborative Analysis Versioning Environment System (CAVES) project concentrates on the interactions between users performing data and/or computing intensive analyses on large data sets, as encountered in many contemporary scientific…

Data Analysis, Statistics and Probability · Physics 2007-05-23 Dimitri Bourilkov

The present-day globular cluster populations of galaxies reflect the cumulative effects of billions of years of galaxy evolution via such processes as mergers, tidal stripping, accretion, and in some cases the partial or even complete…

Astrophysics · Physics 2007-05-23 Michael J. West

Dynamical evolution plays a key role in shaping the current properties of star clusters and star cluster systems. A detailed understanding of the effects of evolutionary processes is essential to be able to disentangle the properties which…

Astrophysics of Galaxies · Physics 2015-05-14 Enrico Vesperini

It has been suggested that circumstellar disks evolve from dense, actively accreting structures to low-mass, replenished remnants. During this transition, grains may assemble into planetesimals, or the disk may be cleared by newborn…

Astrophysics · Physics 2007-05-23 Ray Jayawardhana

Two-dimensional surface photometry is presented for a sample of 351 late-type galaxies with $0.12 < z < 0.65$. These objects are drawn from the Canadian Network for Observational Cosmology (CNOC) cluster survey and are either…

Astrophysics · Physics 2009-10-28 D. Schade , R. G. Carlberg , H. K. C. Yee , O. Lopez-Cruz , E. Ellingson

Machine learning is a powerful technique, becoming increasingly popular in astrophysics. In this paper, we apply machine learning to more than a thousand globular cluster (GC) models simulated as part of the 'MOCCA-Survey Database I'…

Astrophysics of Galaxies · Physics 2019-03-13 Ammar Askar , Abbas Askar , Mario Pasquato , Mirek Giersz

We consider several patchy particle models that have been proposed in literature and we investigate their candidate crystal structures in a systematic way. We compare two different algorithms for predicting crystal structures: (i) an…

Computational Physics · Physics 2015-06-05 Emanuela Bianchi , Guenther Doppelbauer , Laura Filion , Marjolein Dijkstra , Gerhard Kahl

Biclustering is a data mining technique which searches for local patterns in numeric tabular data with main application in bioinformatics. This technique has shown promise in multiple areas, including development of biomarkers for cancer,…

Machine Learning · Computer Science 2021-05-05 Paweł Renc , Patryk Orzechowski , Aleksander Byrski , Jarosław Wąs , Jason H. Moore

This paper is a brief update on developments in the BioDynaMo project, a new platform for computer simulations for biological research. We will discuss the new capabilities of the simulator, important new concepts simulation methodology as…

Neural and Evolutionary Computing · Computer Science 2018-01-22 Leonard Johard , Lukas Breitwieser , Alberto Di Meglio , Marco Manca , Manuel Mazzara , Max Talanov

I simulate the evolution of a stellar system hosting two stellar populations whose initial set up is defined according to the two main scenarios proposed for the origin of multiple populations in Galactic globular clusters: (i) formation of…

Astrophysics of Galaxies · Physics 2021-02-17 A. Sollima

Simulations of dense stellar systems currently face two major hurdles, one astrophysical and one computational. The astrophysical problem lies in the fact that several major stages in binary evolution, such as common envelope evolution, are…

Astrophysics · Physics 2007-05-23 Piet Hut

Optical computing devices can be implemented based on controlled generation of soliton trains in single and multicomponent Bose-Einstein condensates (BEC). Our concepts utilize the phenomenon that the frequency of soliton trains in BEC can…

Quantum Physics · Physics 2014-11-19 Florian Pinsker

Globular clusters are collisional systems, meaning that the stars inside them interact on timescales much shorter than the age of the Universe. These frequent interactions transfer energy between stars and set up observable trends that tell…

Astrophysics of Galaxies · Physics 2020-03-18 Laura L. Watkins , Roeland P. van der Marel , Andrea Bellini , Mattia Libralato , Jay Anderson

This paper reports on the development of a novel CMOS device employing lead-sensing bacteria to assay lead in drinking water. The objective of the PlomBOX project is to develop a low-cost sensor ({\pounds}10) which can expedite access to…

This volume contains the accepted papers at the third Workshop on Membrane Computing and Biologically Inspired Process Calculi, held in Bologna on 5th September 2009. The papers are devoted to both membrane computing and biologically…

Computational Engineering, Finance, and Science · Computer Science 2009-12-02 Gabriel Ciobanu

We report experimental results on the dynamics and phase evolution of Bose-Einstein condensates in 1D optical lattices. The dynamical behaviour is studied by adiabatically loading the condensate into the lattice and subsequently switching…

Condensed Matter · Physics 2007-05-23 O. Morsch , M. Cristiani , J. H. Müller , D. Ciampini , E. Arimondo

Context. Star formation and, in particular, high-mass star formation are key astrophysical processes that are far from being fully understood. Unfortunately, progress in these fields is slow because observations are hard to interpret as…

With the increasing number of samples, the manual clustering of COVID-19 and medical disease data samples becomes time-consuming and requires highly skilled labour. Recently, several algorithms have been used for clustering medical datasets…

Neural and Evolutionary Computing · Computer Science 2021-09-21 Bryar A. Hassan , Tarik A. Rashid , Hozan K. Hamarashid
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