# Data center heat dissipation & detection

> Explore data center cooling, heat dissipation and detection in an interactive 3D model, with satellite and local sensing methods and cited evidence.

By Luis Cosío (@luiscosio), https://www.luiscos.io/. This is an educational model, not a validated predictor of detection performance. The research separates physical signals from tying them to a workload, and evidence strength from whether the evidence applies.

## Model and evidence

- [Overview and common questions](https://luiscosio.github.io/sieve/index.md): Scope, direct answers, evidence definitions and limitations.
- [Facility, heat and detection catalog](https://luiscosio.github.io/sieve/catalog.md): Mechanisms and limits for every selector, linked to sources.
- [Complete references](https://luiscosio.github.io/sieve/references.md): The complete 184-source IEEE-style bibliography.

## Field examples

- [Colossus 1 Landsat field example: method and limits](https://luiscosio.github.io/sieve/field-examples/colossus-landsat/method.md): Method and limitations for the archived observations.
- [Colossus 1 Landsat results](https://luiscosio.github.io/sieve/field-examples/colossus-landsat/dT_results.csv): Stored scene-level measurements. Temperature differences alone don’t prove compute heat.

## Optional

- [Complete text](https://luiscosio.github.io/sieve/llms-full.txt): Overview, catalog and bibliography in one document.
- [Author](https://www.luiscos.io/): Luis Cosío.