Statistical evaluation of photon count rate data for nanoscale particle measurement in wastewaters

2012 ◽  
Vol 14 (1) ◽  
pp. 79-84 ◽  
Author(s):  
Josh Smeraldi ◽  
Rajagopalan Ganesh ◽  
Jana Safarik ◽  
Diego Rosso
Keyword(s):  
Count Rate ◽  
Statistical Evaluation ◽  
Rate Data ◽  
Nanoscale Particle ◽  
Photon Count ◽  
Particle Measurement

scholarly journals A new method for D2O to H2O leak detection and identification of leaky heat exchanger in PHWR by Cerenkov photon counting technique

2018 ◽  
Vol 33 (4) ◽  
pp. 325-333 ◽  
Author(s):  
Blangat Dileep ◽  
Ravi Mana ◽  
Karunakara Nerugundi ◽  
Sangameshwar Managanvi ◽  
Raj Tripathi
Keyword(s):  
Heat Exchanger ◽  
Low Power ◽  
Heat Exchangers ◽  
Count Rate ◽  
Liquid Scintillation ◽  
Leak Detection ◽  
Cherenkov Photon ◽  
Photon Count ◽  
Detection And Identification ◽  
Power Operation

In pressurized heavy water reactors, leaks from D2O primary coolant and moderator to H2O secondary coolant and other light-water systems in heat exchangers cannot be completely ruled out. High cost of D2O demands that its loss should be prevented to maximum extent possible. Traditionally D2O leak detection and identification of leaky heat exchanger is carried out by measurement of tritium activity in H2O. Since tritium emits low energy beta radiation, its concentration in H2O is measured by mixing it with liquid scintillation solution in a definite proportion in counting vial and counted in a Liquid Scintillation Analyzer. It is very sensitive method for leak detection, but identification of leaky heat exchanger is time consuming and may require low power operation or reactor shut down. In the new method, high energy beta emitting fission products, which emit Cherenkov photons in H2O, were used as the tracer. H2O was poured in 20 mL plastic vials without scintillator and counted on Liquid Scintillation Analyzer. D2O leak was identified by comparing the Cherenkov photon count rate with that of the blank. A discrimination ratio significantly higher than average Cherenkov photon count rate for all heat exchangers was used to identify the leaky one. The technique has advantageous over existing method of D2O leak detection, such as, (1) scintillation chemicals are not required (2) low power operation or reactor shut down is not required for identifying the leaky heat exchanger (3) no generation of radioactive chemical waste (4) on-power leak identification reduces generation of radioactive liquid waste.

scholarly journals Multi Simulation Platform for Time Domain Diffuse Optical Tomography: An Application to a Compact Hand-Held Reflectance Probe

2019 ◽  
Vol 9 (14) ◽  
pp. 2849 ◽  
Author(s):  
Edoardo Ferocino ◽  
Antonio Pifferi ◽  
Simon Arridge ◽  
Fabrizio Martelli ◽  
Paola Taroni ◽  
...  
Keyword(s):  
Time Domain ◽  
Count Rate ◽  
Breast Imaging ◽  
Optical Tomography ◽  
Diffuse Optical Tomography ◽  
Cost Effective ◽  
General Purpose ◽  
Simulation Platform ◽  
Photon Count ◽  
Optical Properties Of Tissue

Time Domain Diffuse Optical Tomography (TD-DOT) enables a full 3D reconstruction of the optical properties of tissue, and could be used for non-invasive and cost-effective in-depth body exploration (e.g., thyroid and breast imaging). Performance quantification is crucial for comparing results coming from different implementations of this technique. A general-purpose simulation platform for TD-DOT clinical systems was developed with a focus on performance assessment through meaningful figures of merit. The platform was employed for assessing the feasibility and characterizing a compact hand-held probe for breast imaging and characterization in reflectance geometry. Important parameters such as hardware gating of the detector, photon count rate and inclusion position were investigated. Results indicate a reduced error (<10%) on the absorption coefficient quantification of a simulated inclusion up to 2-cm depth if a photon count rate ≥ 106 counts per second is used along with a good localization (error < 1 mm down to 25 mm-depth).

scholarly journals Statistical Analysis of Count Rate Data for On-line Seawater Radioactivity Monitoring

2019 ◽  
Vol 44 (2) ◽  
pp. 64-71
Author(s):  
Dong-Myung Lee ◽  
Binh Do Cong ◽  
Jun-Ho Lee ◽  
In-Young Yeo ◽  
Cheol-Su Kim
Keyword(s):  
Statistical Analysis ◽  
Count Rate ◽  
Rate Data ◽  
Radioactivity Monitoring ◽  
On Line

scholarly journals Strong Plasmon Enhancement of the Saturation Photon Count Rate of Single Molecules

2020 ◽  
Vol 11 (5) ◽  
pp. 1962-1969 ◽  
Author(s):  
Yuyang Wang ◽  
Matěj Horáček ◽  
Peter Zijlstra
Keyword(s):  
Count Rate ◽  
Single Molecules ◽  
Photon Count ◽  
Plasmon Enhancement
Sign in / Sign up

Export Citation Format

Share Document