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hackdeblend's Introduction

hackdeblend

Hack 'de Blend: A Deblending Task Force Hack

Motivation

This repository is a space for developing and executing a bite-sized project contributing to the efforts of the LSST-DESC Deblending Task Force. A strong possibility is to use @esheldon's catalogs to explore the relationships between bias and other parameters. The files in question can be found at /global/projecta/projectdirs/lsst/groups/WL/users/esheldon/nbrsim-outputs/collated/ on NERSC.

People

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hackdeblend's People

Contributors

aimalz avatar

Stargazers

Erfan Nourbakhsh avatar

Watchers

David Kirkby avatar Erin Sheldon avatar Phil Marshall avatar James Cloos avatar Richard Dubois avatar  avatar Javier Sanchez avatar  avatar

hackdeblend's Issues

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Define the project

Here is a first attempt to define a suitable Sprint Week project based on the simulation files provided by @esheldon. Please add any suggestions or comments below, or define a separate project in a new issue.

The project is to Study the multiplicative biases of the MOF pipeline due to blending as a function of (1) nearest neighbor distance and (2) nearest neighbor flux.

In more detail, p.14 of @esheldon's Nov. 6 talk reports ~2% multiplicative biases using übserseg only, but does not show how biases depend on the properties of individual blends.

The type of plots we are aiming for could be compared with these ones from Samuroff++ 2017 (see also Simon Samuroff's talk from previous week):

image

image

Document the simulation data files

This issue to is record useful into about the simulation data files that @esheldon has provided at nersc in /global/projecta/projectdirs/lsst/groups/WL/users/esheldon/nbrsim-outputs/collated/

Loop over files

So far, we only read one file. We should try to read them all and just repeat (combine) the results from the different files.

Simulate selection effects

A next step is to see how the plots defined in #2 are affected by selection effects. @fjaviersanchez thinks magnitude cuts are the primary selection effect @esheldon wants to investigate, so I'll start with those. Other important ones would be cuts on size and SNR.

Create SNR vs size plot

We should try to filter out the stars. @esheldon said that since the stars have a pretty high SNR it should be clear from the plot snr vs size where these stars live.

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