Source lineage
IRIS Solar UV Data
Foundation for ingest, metadata indexing, quicklook generation, and event-candidate workflows.
Project + profile
About Astrolyte
Astrolyte is built by Ikbar Faiz as a focused expression of data engineering work inside observational astrophysics.
Profile
About Ikbar Faiz
Astrolyte is built by Ikbar Faiz as a focused expression of data engineering work inside observational astrophysics.
The work is centered on data engineering: designing ingestion paths, preserving raw truth, structuring metadata, publishing processed artifacts, and making validation visible enough that the system can be trusted, reused, and extended over time.
Context
Why this work sits in the profile
This project is an attempt to move beyond one-off analysis and toward reusable systems for observational data. The aim is not only to study the data, but to keep raw truth, metadata, and derived outputs coherent over time.
Project
What Astrolyte is trying to prove
Astrolyte is less about presenting a polished frontend and more about showing that observational data work can be structured like a real engineering surface.
The point is to show that raw truth, metadata indexing, processed artifacts, validation signals, and reusable outputs can live in one coherent system instead of being scattered across notebooks, ad-hoc scripts, and detached result folders.
Astrolyte treats the interface as the visible surface of that engineering work: ingest stays explicit, structure stays legible, and downstream products remain tied back to source context.
Lineage
Three workflow lineages
The public Astrolyte surface still comes from the same three project roots, but the page now frames them as evidence inside a broader builder profile.
Source lineage
Rubin Sampling
Foundation for schema standardization, parquet artifacts, live-data transformation, and evaluation.
Source lineage
T CrB Project
Foundation for reproducible workflow, overlap validation, clean outputs, and archive-aware raw-image context.