This page centralizes documentation relating to the module loading, integration, and quality control/assurance testing of the Inner System, part of ATLAS' Inner Tracker Pixels Phase II upgrade project.

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Inner Pixel: Loading, integration, and testing

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Quick access resources for module loading & integration

Module mechanical drawings (AT2-IP-EP-0009 v4)
Dummy Heaters information including drawings, dimensions, soldering procedures, and testing
Quad module properties

3D-printed dummy ring properties

Access the Electronic Logbook & its documentation
On-site access during COVID-19

Module loading pages

Building 33: Module loading equipment

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Consumable components for mixing and dispensing SE4445
- A list of consumables required for mixing SE4445, storing it in syringes, and dispensing it with the Janome robot.
- The linked page includes the information required to place orders for each item.

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Glue dispensing equipment
- Page describing the air dispenser, PC, and

Janome robot

- Janome robot for glue dispensing. The page labels the equipment. The operations instructions are obsolete.

Please follow the

- Please follow the latest instructions here.
- In addition, we now have an edge finder we can mount on the robot.

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Quad & triplet pick up plates
- CMM measurements from October 23 & 29, 2020; February 25, 2021

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- Pickup Plates w- grooves.pdf

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- REF-000112056 RD53a Ring_Triplet top view only.pdf

height150 View file

- some dimensions from PF-256-102-70.pdf

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- view

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- of PF-256-102-30 PICK UP PLATE SGL-TPL with 20mm slides.pdf

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- view

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- of PF-256-102-30 PICK UP PLATE SGL-TPL with 22mm slides.pdf

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Equipment manuals
- Nordson EFD Ultimus V dispenser [PDF] [Confluence page]
- Checking the temperature of a syringe with the IR camera [Confluence]
- Janome Points software [Confluence]
- ITk pixel module QC cooling unit [Confluence]
Datasheets
- Adhesives

Further documentation and resources

Datasets	Tables of wet and dry dispensing datasets collected after October 2020
Related presentations	Contains copies of lab notes and documents in addition to links for relevant presentations between August 2018 and February 2020
Module mounting glue options	Glue discussion material from 2018 Table of glue candidate properties [Confluence I] [Confluence II] LHCb glue List of good candidates (working list) dated 2018

Building 33: Operating procedures

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Mixing SE4445 cartridges for storage
This page describes how to set up and mix SE4445 into smaller syringes for later use in the B33 cleanroom complex gowning area.

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Building 33 - Glue freezer monitoring setup
- Page describing the setup of the LabJack 7 + thermocouples, as well as monitoring software, PC setup, network setup.
  - Frozen glue log [archived]
Dispensing SE4445
- Step-by-step procedure for using the Nordson dispenser and robot in B33 to deposit SE4445 in a star pattern.

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- Advanced

: Programming

- programming concepts

in

- for the Janome Points

for the glue dispensing robot

- software
  - We can only predict so many eventualities: This page describes how to create your own custom Janome Points program file. It breaks down some key concepts (like Janome jargon "Point Job," "PTP," and "palette") as well as how to set up the Janome Points programme.
Running the CMM
- Describes how to operate the CMM in the small clean room in B33
Rework procedure
- Using fishing line and ethanol, we can remove heaters from staves. [Confluence]

Analyzing glue dispensing performance

	Coverage	Glue layer thickness
Purpose	Determine the area of the glue layer beneath a module as a percentage of the module area	Determine the thickness of the layer of glue underneath the module
Target range	75-85%	75-125 microns (ATLAS specification: 100⁺¹⁰⁰ _-50 microns)
Measurement strategy	Extract glue layer area from images collected of samples on a clean, solid, high-contrast background. Please note that a ruler or other clearly known dimension must be in the image frame to provide a pixel-real world coordinates calibration source.	Height gauge measurements
Analysis resources	Charlie created a MATLAB script for measuring coverage in images of dispensed samples collected on a clean white background. Alternatively, we can extract these areas with image processing tools like ImageJ.	Hannah and Rachel prepared Python-based scripts to analyze csv files containing height gauge measurement results. The (messy) scripts are available on GitLab: https://gitlab.cern.ch/hherde/slacpixelsanalysis