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Hi there 👋

  • 🔭 I am an astronomer interested in (big) data science working on dust.
  • 📫 My personal website is the most up to date info about me.
  • 📙 Here is a copy of my CV.
  • 📃 My publications can be found on ADS.

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Andrew Saydjari's Projects

bayestar icon bayestar

Bayesian photometric parallax. Infers distances, reddenings, stellar types, and line-of-sight extinction profiles.

cloudclean.jl icon cloudclean.jl

Image infilling algorithm with focus on statistically accuracy

cloudcoverr.jl icon cloudcoverr.jl

Pipeline for debiasing and improving error bar estimates for photometry on top of structured/filamentary background.

desi_retriever icon desi_retriever

Quick way of fetching DESI spectra in Python without logging to NERSC

dhc icon dhc

Package to compute translationally and rotationally invariant wavelet-based statistics on images.

dustmaps icon dustmaps

A uniform interface for a number of 2D and 3D maps of interstellar dust reddening/extinction.

eqws.jl icon eqws.jl

Public package to compute translationally and rotationally invariant wavelet-based statistics on images.

fitsio.jl icon fitsio.jl

Flexible Image Transport System (FITS) file support for Julia

gspice icon gspice

GSPICE: Gaussian Pixelwise Conditional Estimation

kryburycompress.jl icon kryburycompress.jl

Compression method for storing large covariance matrices, which is also fast when they are built from low-rank factors.

legacypipe icon legacypipe

Image reduction pipeline for the DESI Legacy Imaging Surveys, using the Tractor framework

lowrankops.jl icon lowrankops.jl

Type/method defintions for speeding up matrix computations for matrices built from low rank components.

lsd icon lsd

Large Survey Database

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