utat-ss / architect Goto Github PK

The ground sample distance is the smallest unit of terrain that our system can resolve.

Many lens manufacturers often list a transmitted wavefront error for a particular lens. It may or may not be possible to estimate this error using the tool.

Consider:

• What is transmitted wavefront error?
• Can we compute a net transmitted wavefront error across all our components?

pylint_runner and an actual pre-commit call produces more pylint issues than pre-commit run --all-files. Maybe need to make pre-commit recur?

Maybe planes for 3D surface plots too.

Component-specific requirement for VPH grism

Build a pipeline that computes the total cost of the payload given the unit costs of components. Will need to create a cost attribute for component classes.

We need a pipeline to assess our required slew rate given our sensor and optical parameters. The slew rate is the rate at which the satellite must roll backwards to keep the framerate in-line with our ground scanline, and is an important requirement we impose on the ADCS team.

To do

• Derive slew rate as a function of sensor parameters, ground sample distance, and orbital altitude in SDD
• Implement pipeline

Would allow for a cleaner integration of LaTeX directives.

This is an issue with docformatter. Might need to change settings.

Compute net operating temperature from the component with the smallest operating range. Will need to create new attribute for components to capture operating ranges.

• Must be exportable to csv, latex format
• Latex export must make use of siunitx package for recording of units

• Move "at a glance" installation steps into body of instructions
• Add emojis
• Add note about where our poetry install command instructions differ from documentation
• Add commands for both Windows and MacOS for every command mentioned

Wish to analyze the effect of all parameters on VPH grism efficiency through high-dimensional plots

Create a pipeline that computes the size of the datacube captured by the system

Will need to decompose input array into a set of 1D data arrays, then plot each individually in a single plot

Something's wrong with the units. Consider looking into the following:

• Perform dimensional analysis to confirm validity of final SNR equations
• Look into how valid the assumptions made in the SNR derivation are for the payload
• Confirm where the extra wavelength term in the Resonon paper comes from

When light meets the surface of our components, it may be

1. Transmitted (ideal)
2. Absorbed (bad)
3. Reflected (very bad)

Reflected light becomes stray light in our system, which may map itself incorrectly onto our sensor and produce erroneous readings. We wish to quantify how much reflected light we expect to generate given our component selection and their optical coating properties if applicable.

'mypy' is not recognized as an internal or external command, operable program or batch file.

Net spectral resolution. Should account for optical and sensor limited spectral resolution.

We need a pipeline that computes:

• The total payload mass as a function of the mass of each component
• The net volume envelope in x, y, z as a function of component volume envelopes (should account for spacing between components)

We need a pipeline that computes an optical density requirement for our bandpass filter given how much stray light we are willing to accept that enters the optical system outside of our wavelength range of interest.

To be considered:

• How does SNR change as a function of optical density?
• What optical density is required for a given SNR requirement?

Problem with poetry and Kaleido: plotly/Kaleido#15

A.k.a the pointing constraint. This is the maximum deviation from our target angle we can accept before one terrain scanline blends into another between frames

Also:

• Compute slew rate requirement

https://github.com/DanielNoord/pydocstringformatter

The light that is diffracted by the grism is diffracted at different angles, and is focused on the sensor by the focusing lens at different positions along the lens. What we need to know is, given the properties of the grism, focusing lens, and sensor, what is the distribution of wavelengths as a function of position along the sensor face?

i.e. aperture blockage