2019
DOI: 10.1016/j.rpor.2019.07.009
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Determination of an inflection point for a dosimetric analysis of unflattened beam using the first principle of derivatives by python code programming

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Cited by 9 publications
(11 citation statements)
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“…The characteristics of the beam profile were measured at depths of 12, 20, and 200 mm when the SSD was set as 100 cm and the field size was 10 × 10 cm 2 . A flattening filter to enhance the flatness of the X‐ray photon beam was not used 32 . At each depth, the position of the ion chamber was changed at intervals of 2 mm along the X‐axis and Z‐axis directions, and the dose at each location was measured.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The characteristics of the beam profile were measured at depths of 12, 20, and 200 mm when the SSD was set as 100 cm and the field size was 10 × 10 cm 2 . A flattening filter to enhance the flatness of the X‐ray photon beam was not used 32 . At each depth, the position of the ion chamber was changed at intervals of 2 mm along the X‐axis and Z‐axis directions, and the dose at each location was measured.…”
Section: Resultsmentioning
confidence: 99%
“…A flattening filter to enhance the flatness of the X-ray photon beam was not used. 32 At each depth, the position of the ion chamber was changed at intervals of 2 mm along the X-axis and Z-axis directions, and the dose at each location was measured. The measurement results are shown in Figure 16 and Table 5.…”
Section: Quality Assurance Measurement Resultsmentioning
confidence: 99%
“…This stage then preprocesses the data to be analyzed using python programming language using pandas and matplotlib libraries. The use of python programming is essential because it follows mathematical concepts and principles [22].…”
Section: Process Research Methods and Research Designmentioning
confidence: 99%
“…Let ( ) be a function, which is continuous at a point , ( ) can have a finite or infinite derivative at that point. If, when passing through , the function changes the direction of convexity, then is called a point of inflection [17].…”
Section: B Inflection Points and Second Derivativementioning
confidence: 99%
“…Second derivative [17], [18] of a function ( ). If is a point of inflection, and the function has a second derivative in some neighborhood of , which is continuous at the point itself, then, ( ) .…”
Section: B Inflection Points and Second Derivativementioning
confidence: 99%