Biennial Report 2005-2007 - Saha Institute of Nuclear Physics

92 Biennial Report 2005-073.1.2.8 Photons from Jet - plasma interaction in a collisional energy loss scenarioWe investigate photon production rate from jet-plasma interactions taking into account the energyloss of the jet. When a jet passes through quark gluon plasma it interacts with the mediumconstituents (quarks and gluons) and produces photons via Compton and annihilation processes.We show that this contribution dominates over the thermal photons beyond p T > 6 GeV.L Bhattacharya, P RoyHEP3.1.3 Spectroscopy in Mass-100 region3.1.3.1 Observation of Antimagnetic Rotation in 108 CdDuring two beamtimes with INGA, we have studied the high spin behaviour of 103,104,106,108,109 Agand 108 Cd nuclei. In 2005, we could establish that the states 108 Cd beyond I π = 14 + originates dueto Anti-magnetic rotation. This is only the second nucleus where anti-magnetic rotation has beenobserved. The phenomena was established by comparing the experimental B(E2) values with thevalues obtained from a semi-classical model based on Tilted Cranking.P Datta, S Chattopadhyay, S Bhattacharya, TK Ghosh, A Goswami, S Pal, M Saha Sarkar, HCJain, PK Joshi RK Bhowmik, R Kumar, N Madhavan, S Muralithar, PV Madhusudhana Rao, RPSinghHEP3.1.3.2 Observation of Magnatic Rotation in 108 AgThe high spin levels of the ground state band of 108 Ag was found to originate due to magneticrotation. This was inferred by measuring the lifetime of excited nuclear levels. These sub-picosecondlifetimes were measured through Doppler Shift Attenuation Method.S Roy, P Datta, S Chattopadhyay, S Bhattacharya, TK Ghosh, A Goswami, S Pal, M Saha Sarkar,HC Jain, PK Joshi RK Bhowmik, R Kumar, N Madhavan, S Muralithar, PV Madhusudhana Rao,RP SinghHEP3.2 Medical Imaging3.2.1.1 Retinomorphic Sensor Network for Image PreprocessingWork towards the implementation of our proposed retinal computational model in an Analog Networkhas been culminated in a Resistive network suitable for image processing tasks. This networkfunctionally mimics the very first stage of retinal computation and computes on the principle ofMinimum Heat Theorem proposed by Maxwell. These networks are very suitable for designingAnalog Neural Network in CMOS technology for the tasks of image processing. Outputs of sucha network are equivalent to convolution with an exponential filter. Combining four such networkswith different space constants we could mimic the functionality of retinal ganglion cells. Discretisingthis resultant continuous function which is a combination of four exponentials a filter is formed.Filter characteristics are varied by changing the weight and the space constants of the networks.