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H. Podlech

Publications and source records attributed to H. Podlech.

3 recordsLinked to original sources

Hopfield Network based Control and Diagnostics System for Accelerators

A recurrent artificial neural network known as Hopfield network is used for pattern storage. Here we have applied this associative memory type network for pattern recognition for predictive controls and diagnostics in accelerator based systems. This system will be usefull for control systems and data acquisition system based on artificial intelligence at accelerator facilities. In this publication we have discussed the role of Hopfield network as pattern recognition and auto encoder for denoising the images of ion beams obtained using CCD based optical systems.

physics.acc-ph

Machine learning for analysis of plasma driven Ion source

Recently, neural networks have found many applications in different fields including Genetics, Pharmacy, Astrophysics and High Energy Physics [1-3]. In the field of accelerator physics it has been used for control systems [4]. In this paper we present the results based on machine learning techniques motivated to predict the behaviour of ion source in terms of composition of the ion beam while using hydrogen gas to produce $H^+$ ions. In the framework of the stellarator type Figure-8 Storage Ring (F8SR) project, a volume type ion source was designed for the low energy ion beam transport experiments. In a first step the functioning of this ion source was studied and the results were published, but only small number of measurements were analysed as the main requirement for the on going experiment was fulfilled. Though at a later stage, more number of measurements were recorded with larger parameter space to investigate the properties of extracted ion beams from this source further. With recent interests and improved techniques in the applications of machine learning algorithms data analysis using neural network has been applied to study the ion beams from this ion source.

physics.acc-ph

"Safe" Coulomb Excitation of 30Mg

We report on the first radioactive beam experiment performed at the recently commissioned REX-ISOLDE facility at CERN in conjunction with the highly efficient gamma spectrometer MINIBALL. Using 30Mg ions accelerated to an energy of 2.25 MeV/u together with a thin nat-Ni target, Coulomb excitation of the first excited 2+ states of the projectile and target nuclei well below the Coulomb barrier was observed. From the measured relative de-excitation gamma ray yields the B(E2; 0+ -> 2+) value of 30Mg was determined to be 241(31) e2fm4. Our result is lower than values obtained at projectile fragmentation facilities using the intermediate-energy Coulomb excitation method, and confirms the theoretical conjecture that the neutron-rich magnesium isotope 30Mg lies still outside the ``island of inversion''.

nucl-ex