The VST telescope control software in the ESO VLT environment

The VST (VLT Survey Telescope) is a 2.6 m Alt-Az telescope to be installed at Mount Paranal in Chile, in the European Southern Observatory (ESO) site. The VST is a wide-field imaging facility planned to supply databases for the ESO Very Large Telescope (VLT) science and carry out stand-alone observations in the UV to I spectral range. This paper will focus mainly on control software aspects, describing the VST software architecture in the context of the whole ESO VLT control concept. The general architecture and the main components of the control software will be described.Comment: 3 pages, 2 figures, ICALEPCS 2001 Conference, PSN#THAP05

Integration of the VIMOS control system

The VIRMOS consortium of French and Italian Institutes (PI: O. Le Fevre, co-PI: G. Vettolani) is manufacturing two wide field imaging multi-object spectrographs for the European Southern Observatory Very Large Telescope (VLT), with emphasis on the ability to carry over spectroscopic surveys of large numbers of sources: the VIsible Multi-Object Spectrograph, VIMOS, and the Near InfraRed Multi-Object Spectrograph, NIRMOS. There are 52 motors to be controlled in parallel in the spectrograph, making VIMOS a complex machine to be handled. This paper will focus on the description of the control system, designed in the ESO VLT standard control concepts, and on some integration issues and problem solving strategies.Comment: 3 pages, 3 figures, ICALEPCS 2001 Conference, PSN#TUBT00

A Neural Tool for Ground-Based Telescope Tracking control

Neural Network models (NN) have emerged as important components for applications of adaptive control theories. Their basic generalization capability, based on acquired knowledge, together with execution rapidity and correlation ability between input stimula, are basic attributes to consider NN as an extremely powerful tool for on-line control of complex systems. By a control system point of view, not only accuracy and speed, but also, in some cases, a high level of adaptation capability is required in order to match all working phases of the whole system during its lifetime. This is particularly remarkable for a new generation ground-based telescope control system. Infact, strong changes in terms of system speed and instantaneous position error tolerance are necessary, especially in case of trajectory disturb induced by wind shake. The classical control scheme adopted in such a system is based on the Proportional Integral (PI) filter, already applied and implemented on a large amount of new generation telescopes, considered as a standard in this technological environment. In this paper we introduce the concept of a new approach, the Neural Variable Structure Proportional Integral, (NVSPI), related to the implementation of a standard Multi Layer Perceptron (MLP) network in new generation ground-based Alt-Az telescope control systems. Its main purpose is to improve adaptive capability of the Variable Structure Proportional Integral model, (VSPI), an already innovative control scheme recently introduced by authors [1], based on a modified version of classical PI control model, in terms of flexibility and accuracy of the dynamic response range also in presence of wind noise effects. The realization of a powerful well tested and validated telescope model simulation system allowed the possibility to directly compare performances of the two control schemes on simulated tracking trajectories, revealing extremely encouraging results in terms of NVSPI control robustness and reliability

Ground-based telescope pointing and tracking optimization using a neural controller

Neural network models (NN) have emerged as important components for applications of adaptive control theories. Their basic generalization capability, based on acquired knowledge, together with execution rapidity and correlation ability between input stimula, are basic attributes to consider NN as an extremely powerful tool for on-line control of complex systems. By a control system point of view, not only accuracy and speed, but also, in some cases, a high level of adaptation capability is required in order to match all working phases of the whole system during its lifetime. This is particularly remarkable for a new generation ground-based telescope control system. Infact, strong changes in terms of system speed and instantaneous position error tolerance are necessary, especially in case of trajectory disturb induced by wind shake. The classical control scheme adopted in such a system is based on the proportional integral (PI) filter, already applied and implemented on a large amount of new generation telescopes, considered as a standard in this technological environment. In this paper we introduce the concept of a new approach, the neural variable structure proportional integral, (NVSPI), related to the implementation of a standard multi layer perceptron network in new generation ground-based Alt-Az telescope control systems. Its main purpose is to improve adaptive capability of the Variable structure proportional integral model, an already innovative control scheme recently introduced by authors [Proc SPIE (1997)], based on a modified version of classical PI control model, in terms of flexibility and accuracy of the dynamic response range also in presence of wind noise effects. The realization of a powerful well tested and validated telescope model simulation system allowed the possibility to directly compare performances of the two control schemes on simulated tracking trajectories, revealing extremely encouraging results in terms of NVSPI control robustness and reliability. © 2003 Elsevier Science Ltd. All rights reserved

THE ROLE OF CD133 IN THE IDENTIFICATION AND MAINTENANCE OF CANCER STEM CELLS DERIVED FROM HUMAN GLIOBLASTOMA

Glioblastoma multiforme (GBM) is the most common and lethal type of brain tumor in adults. There are some evidences that it is maintained by a population of cells, namely cancer stem cells, able to self-renew and propagate the tumor. Despite recent advances in surgical and therapeutic treatment, no tangible improvements have been made to prolong the patients\u2019 survival. The role of the cell surface CD133 as a cancer stem cell marker in brain tumors has been widely investigated, since it identifies cells within glioblastomas able to initiate neurosphere growth and form heterogeneous tumors when transplanted in immune-compromised mice. However, evidences of CD133-negative cells exhibiting similar properties have been reported, making definitive conclusions on the correlation between tumor-initiating capabilities of glioma stem cells and CD133 expression difficult to drawn. Moreover, the functional role of CD133 in cancer stem/progenitor cells is not known. We analyzed the efficiency of CD133 in the identification and isolation of glioblastoma stem cells and we investigated its functional role, studying the biological effects of CD133 down-regulation in GBM-derived neurospheres in vitro and in vivo. We observed that CD133 is homogenously expressed in the cytoplasm of the cells composing the neurospheres, while its expression on the cell surface is highly variable. Cloning of single CD133-positive and CD133-negative cells demonstrated that CD133 shuttles dynamically between the plasmamembrane and the cell cytoplasm and no hierarchical relation can be established. Knockdown of CD133 by lentiviral-mediated short hairpin RNAs (shRNA) reduces the self-renewal and tumorigenic capacity of the GBM-derived neurosphere cells. Taken together, our data suggest that cell surface CD133 is not useful for the isolation of glioblastoma stem cells, since a complex regulation of its expression in terms of protein levels and cellular localization exists. However, CD133 may contribute to the maintenance and the tumorigenic potential of glioblastoma stem cells. This implies that CD133 could be used as a therapeutic target in glioblastomas, regardless of its expression on cell surface

The active optics software for the VST telescope

The VST (VLT Survey Telescope) active optics software must basically provide the analysis of the image coming from the wavefront sensor (a 10x10 subpupils Shack Hartmann device) and the calculation of primary mirror forces and secondary mirror displacements to correct the aberrations of the optical system, instrinsic or originated for thermal and gravity reasons. After the telescope commissioning the VST will be operated by ESO. In this framework, INAF-OAC staff was committed to design and realize the software in a VLT-compliant way. This will smoothen the integration, operation and maintenance of the telescope in the Paranal observatory

Software reverse engineering and development: the VST TCS case

The 2.6 m VST telescope is going to be installed at Cerro Paranal (Chile) as a powerful instrument for optical surveys. It is a joint project between the INAF - Osservatorio Astronomico di Capodimonte (OAC) and ESO. This paper deals with Telescope Control Software (TCS) technical aspects and software engineering design and development strategies

Shapley Supercluster Survey: Construction of the photometric catalogues and i-band data release

The Shapley Supercluster Survey is a multi-wavelength survey covering an area of ∼23 deg² (∼260 Mpc² at z = 0.048) around the supercluster core, including nine Abell and two poor clusters, having redshifts in the range 0.045–0.050. The survey aims to investigate the role of the cluster-scale mass assembly on the evolution of galaxies, mapping the effects of the environment from the cores of the clusters to their outskirts and along the filaments. The optical (ugri) imaging acquired with OmegaCAM on the VLT Survey Telescope is essential to achieve the project goals providing accurate multi-band photometry for the galaxy population down to m∗ + 6. We describe the methodology adopted to construct the optical catalogues and to separate extended and point-like sources. The catalogues reach average 5σ limiting magnitudes within a 3 arcsec diameter aperture of ugri = [24.4,24.6,24.1,23.3] and are 93 per cent complete down to ugri = [23.8,23.8,23.5,22.0] mag, corresponding to ∼m∗ r + 8.5. The data are highly uniform in terms of observing conditions and all acquired with seeing less than 1.1 arcsec full width at half-maximum. The median seeing in r band is 0.6 arcsec, corresponding to 0.56 kpc h⁻¹ 70 at z = 0.048. While the observations in the u, g and r bands are still ongoing, the i-band observations have been completed, and we present the i-band catalogue over the whole survey area. The latter is released and it will be regularly updated, through the use of the Virtual Observatory tools. This includes 734 319 sources down to i = 22.0 mag and it is the first optical homogeneous catalogue at such a depth, covering the central region of the Shapley supercluster