Proton Calorimetry/Meetings/2020/12/16: Difference between revisions
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=== [[ELogs/SaadShaikh|Saad Shaikh]] === | === [[ELogs/SaadShaikh|Saad Shaikh]] === | ||
*Performed further tests at UCL with DDC232 in plastic PELI case in D109 and D27. | |||
**Plastic housing appears to significantly improve shielding from external electronic noise. | |||
**Two runs appended to [http://www.hep.ucl.ac.uk/pbt/wiki/Proton_Calorimetry/Experimental_Runs/2020/Nov27 Nov 27 dataset]. | |||
*Tested frame rate of live ROOT fit with and without graph display: 12Hz without display, 5.5Hz with (canvas size dependent). | *Tested frame rate of live ROOT fit with and without graph display: 12Hz without display, 5.5Hz with (canvas size dependent). | ||
**Will start working on framework to capture data, average and perform fit and then upload results to web server. | **Will start working on framework to capture data, average and perform fit and then upload results to web server. | ||
| Line 25: | Line 28: | ||
*Current goals of the display visualised in CanvasJS | *Current goals of the display visualised in CanvasJS | ||
**Dynamically updating bars with a "fitted Bragg Curve" on top of the bars | **Dynamically updating bars with a "fitted Bragg Curve" on top of the bars | ||
**Randomly generated (hardcoded, not file read) values currently, just to be able to create a quick visual | **Randomly generated (hardcoded, not file-read) values currently, just to be able to create a quick visual | ||
**HTML Canvas issues such as axis labelling and adjusting scales have been removed with this CanvasJS version | **HTML Canvas issues such as axis labelling and adjusting scales have been removed with this CanvasJS version | ||
*Next Steps: | *Next Steps: | ||
**Get the CanvasJS model to display the data outputted from the Java file | **Get the CanvasJS model to display the data outputted from the Java file | ||
**Once successfully displaying the java-written values, test the display with Saad and the Photodiodes - check the display is behaving as expected | **Once successfully displaying the java-written values, test the display with Saad and the Photodiodes - check the display is behaving as expected (important: y-axis should remain static) | ||
Latest revision as of 09:40, 4 January 2021
Minutes for UCL Proton Calorimetry Meetings, 16th December
Present
Simon Jolly, Raffaella Radogna, Saad Shaikh, Fern Pannell
Raffaella Radogna
Saad Shaikh
- Performed further tests at UCL with DDC232 in plastic PELI case in D109 and D27.
- Plastic housing appears to significantly improve shielding from external electronic noise.
- Two runs appended to Nov 27 dataset.
- Tested frame rate of live ROOT fit with and without graph display: 12Hz without display, 5.5Hz with (canvas size dependent).
- Will start working on framework to capture data, average and perform fit and then upload results to web server.
- Nexys Video boards have been modified to allow separation of JTAG programming and DPTI interface. Can now use libFTDI for data transfer and see signals with ILA.
- Will get back to debugging USB interface.
- Now able to configure Nexys Video via SD card without Vivado, using 200GB SD card Fern provided.
- New DDC232 board prototypes due to arrive on Friday 18th, will collect and test after Christmas break.
Fern Pannell
- Chart.js is intended as the JavaScript library with which to generate the final display
- Slicker aesthetics than HTML Canvas and CanvasJS
- Commercial licensing more appropriate
- CanvasJS will be used for the intermediate development stage
- Moving away from the current HTML Canvas prototype towards a Chart.js model, via a CanvasJS interim product
- Substantial documentation and online support with CanvasJS compared to Chart.js, making the transition easier
- Subtle differences (so far) between CanvasJS and Chart.js, suggesting the move between these two libraries will be relatively straightforward.
- Current goals of the display visualised in CanvasJS
- Dynamically updating bars with a "fitted Bragg Curve" on top of the bars
- Randomly generated (hardcoded, not file-read) values currently, just to be able to create a quick visual
- HTML Canvas issues such as axis labelling and adjusting scales have been removed with this CanvasJS version
- Next Steps:
- Get the CanvasJS model to display the data outputted from the Java file
- Once successfully displaying the java-written values, test the display with Saad and the Photodiodes - check the display is behaving as expected (important: y-axis should remain static)