scholarly journals Simulation for Iron Calorimeter prototype detector of India-based Neutrino Observatory

2010 ◽  
Author(s):  
Tapasi Ghosh ◽  
Subhasis Chattopadhyay ◽  
Daniel Kaplan ◽  
Maury Goodman ◽  
Zack Sullivan
Keyword(s):  
Iron Calorimeter ◽  
Prototype Detector

scholarly journals Hadron energy response of the Iron Calorimeter detector at the India-based Neutrino Observatory

2013 ◽  
Vol 8 (11) ◽  
pp. P11003-P11003 ◽  
Author(s):  
M M Devi ◽  
A Ghosh ◽  
D Kaur ◽  
S M Lakshmi ◽  
S Choubey ◽  
...  
Keyword(s):  
Energy Response ◽  
Hadron Energy ◽  
Iron Calorimeter

Prototype detector for 6-keV x-rays using nine series arrays of tunnel junctions

1994 ◽  
Author(s):  
William C. Barber ◽  
Roger W. Bland ◽  
Robert T. Johnson ◽  
Kenneth E. Laws ◽  
Julie S. Lee ◽  
...  
Keyword(s):  
Tunnel Junctions ◽  
X Rays ◽  
Prototype Detector

scholarly journals MOON for spectroscopic studies of double beta decays and the present status of the MOON-1 prototype detector

2006 ◽  
Vol 39 ◽  
pp. 350-352 ◽  
Author(s):  
H Nakamura ◽  
H Ejiri ◽  
K Fushimi ◽  
K Ichihara ◽  
K Matsuoka ◽  
...  
Keyword(s):  
Present Status ◽  
Spectroscopic Studies ◽  
The Moon ◽  
Prototype Detector ◽  
Beta Decays

scholarly journals Improving the Photometry of the Pi of the Sky System

10.14311/1342 ◽  
2011 ◽  
Vol 51 (1) ◽  
Author(s):  
A. F. Żarnecki ◽  
K. Małek ◽  
M. Sokołowski
Keyword(s):  
Gamma Ray ◽  
Field Of View ◽  
Good Time ◽  
Calibration Algorithm ◽  
Sophisticated Instrument ◽  
The Stability ◽  
Robotic Telescope ◽  
Prototype Detector ◽  
Good Time Resolution ◽  
Supernovae Stars

The “Pi of the Sky” robotic telescope was designed to monitor a significant fraction of the sky with good time resolution and range. The main goal of the “Pi of the Sky” detector is to look for short timescale optical transients arising from various astrophysical phenomena, mainly for the optical counterparts of Gamma Ray Bursts (GRB). The system design, the observation methodology and the algorithms that have been developed make this detector a sophisticated instrument for looking for novae and supernovae stars and for monitoring blasars and AGNs activity. The final detector will consist of two sets of 12 cameras, one camera covering a field of view of 20◦ ×20◦. For data taken with the prototype detector at the Las Campanas Observatory, Chile, photometry uncertainty of 0.018–0.024 magnitudo for stars 7–10m was obtained. With a new calibration algorithm taking into account the spectral type of reference stars, the stability of the photometry algorithm can be significantly improved. Preliminary results from the BGInd variable are presented, showing that uncertainty of the order of 0.013 can be obtained.

scholarly journals Test-beam and laboratory characterisation of the TORCH prototype detector

2017 ◽  
Vol 845 ◽  
pp. 452-458
Author(s):  
A. Ros ◽  
N.H. Brook ◽  
L. Castillo-Garcia ◽  
T. Conneely ◽  
D. Cussans ◽  
...  
Keyword(s):  
Test Beam ◽  
Prototype Detector

Development of a dosimeter prototype with machine learning based 3-D dose reconstruction capabilities

2021 ◽  
Author(s):  
Grant Finneman ◽  
Owen Eichorn ◽  
Nathan Meskell ◽  
Timothy Caplice ◽  
Alexander Benson ◽  
...  
Keyword(s):  
Machine Learning ◽  
Treatment Plan ◽  
Active Material ◽  
Comprehensive Cancer Center ◽  
Cancer Center ◽  
Need For Treatment ◽  
Machine Learning Approach ◽  
Delivery Verification ◽  
Radiation Hard ◽  
Prototype Detector

Abstract A 3-D dosimeter fills the need for treatment plan and delivery verification required by every modern radiation-therapy method used today. This report summarizes a proof-of-concept study to develop a water-equivalent solid 3-D dosimeter that is based on novel radiation-hard scintillating material. The active material of the prototype dosimeter is a blend of radiation-hard peroxide-cured polysiloxane plastic doped with scintillating agent P-Terphenyl and wavelength-shifter BisMSB. The prototype detector was tested with 6 MV and 10 MV X-ray beams at Ohio State University’s Comprehensive Cancer Center. A 3-D dose distribution was successfully reconstructed by a neural network specifically trained for this prototype. This report summarizes the material production procedure, the material’s water equivalency investigation, the design of the prototype dosimeter and its beam tests, as well as the details of the utilized machine learning approach and the reconstructed 3-D dose distributions.

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