utat-ss / architect

Systems engineering tool built by the University of Toronto Aerospace Team
The Unlicense
7 stars 1 forks source link

Tradebook for spectral resolution v/s beam diameter #128

Open abeerfatima opened 9 months ago

dosubot[bot] commented 9 months ago

🤖

I'm sorry, but I'm not familiar with a specific "Tradebook" related to spectral resolution versus image diameter. However, I can provide you with some general information on the topic.

Spectral resolution refers to the ability of an imaging system to distinguish between different wavelengths or colors of light. It is typically measured in terms of the number of spectral bands or the bandwidth of each band.

Image diameter, on the other hand, refers to the size or spatial extent of the captured image. It is usually measured in terms of the number of pixels or the physical dimensions of the image.

In general, there is no direct trade-off between spectral resolution and image diameter. These two parameters are independent of each other and can be adjusted separately in an imaging system.

However, it's worth noting that increasing the spectral resolution of an imaging system often requires more complex and expensive hardware, such as additional spectral filters or detectors. This can potentially limit the available resources for capturing a larger image diameter.

Conversely, increasing the image diameter may require a larger sensor or more pixels, which can affect the overall cost and complexity of the system. However, it does not directly impact the spectral resolution.

In summary, spectral resolution and image diameter are separate parameters in an imaging system, and there is no inherent trade-off between them. The choice of spectral resolution and image diameter depends on the specific requirements and constraints of the application.