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@ih64
ih64
opened on Oct 18, 2018

Background estimation and subtraction is intimately related to science cases like source detection and measurement. I would like to understand how it is implemented in the stack, and how choices in configuration parameters impact the background model it gives.

Following discussions from Alex Drlica-Wagner and Jim Bosch, a notebook that mimics the detection-background subtraction-detection-background subtraction iterative process in processCcd can be helpful in guiding users through inner workings of the stack and flesh out bg estimation.

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Project : Intro To Background Models · Issue #146 · LSSTScienceCollaborations/StackClub · GitHub
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    Project : Intro To Background Models #146
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    Project : Intro To Background Models#146
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    ih64
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    Source DetectionTopic area, to help people find projects to work onprojectProjects that Stack Club members are working on, defined in the top comment and discussed thereafter
    Description
    @ih64
    ih64
    opened on Oct 18, 2018
    Background estimation and subtraction is intimately related to science cases like source detection and measurement. I would like to understand how it is implemented in the stack, and how choices in configuration parameters impact the background model it gives.
    Following discussions from Alex Drlica-Wagner and Jim Bosch, a notebook that mimics the detection-background subtraction-detection-background subtraction iterative process in processCcd can be helpful in guiding users through inner workings of the stack and flesh out bg estimation.
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Project : Intro To Background Models · Issue #146 · LSSTScienceCollaborations/StackClub · GitHub
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      Project : Intro To Background Models #146
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      Project : Intro To Background Models#146
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      ih64
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      Source DetectionTopic area, to help people find projects to work onprojectProjects that Stack Club members are working on, defined in the top comment and discussed thereafter
      Description
      @ih64
      ih64
      opened on Oct 18, 2018
      Background estimation and subtraction is intimately related to science cases like source detection and measurement. I would like to understand how it is implemented in the stack, and how choices in configuration parameters impact the background model it gives.
      Following discussions from Alex Drlica-Wagner and Jim Bosch, a notebook that mimics the detection-background subtraction-detection-background subtraction iterative process in processCcd can be helpful in guiding users through inner workings of the stack and flesh out bg estimation.
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, 'i');
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(function(){
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var __m = "*";
var __re = new RegExp('^' + ".*" + '
Project : Intro To Background Models · Issue #146 · LSSTScienceCollaborations/StackClub · GitHub
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        Project : Intro To Background Models #146
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        Project : Intro To Background Models#146
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        ih64
        Labels
        Source DetectionTopic area, to help people find projects to work onprojectProjects that Stack Club members are working on, defined in the top comment and discussed thereafter
        Description
        @ih64
        ih64
        opened on Oct 18, 2018
        Background estimation and subtraction is intimately related to science cases like source detection and measurement. I would like to understand how it is implemented in the stack, and how choices in configuration parameters impact the background model it gives.
        Following discussions from Alex Drlica-Wagner and Jim Bosch, a notebook that mimics the detection-background subtraction-detection-background subtraction iterative process in processCcd can be helpful in guiding users through inner workings of the stack and flesh out bg estimation.
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try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '
Project : Intro To Background Models · Issue #146 · LSSTScienceCollaborations/StackClub · GitHub
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          Project : Intro To Background Models #146
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          Source DetectionTopic area, to help people find projects to work onprojectProjects that Stack Club members are working on, defined in the top comment and discussed thereafter
          Description
          @ih64
          ih64
          opened on Oct 18, 2018
          Background estimation and subtraction is intimately related to science cases like source detection and measurement. I would like to understand how it is implemented in the stack, and how choices in configuration parameters impact the background model it gives.
          Following discussions from Alex Drlica-Wagner and Jim Bosch, a notebook that mimics the detection-background subtraction-detection-background subtraction iterative process in processCcd can be helpful in guiding users through inner workings of the stack and flesh out bg estimation.
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, 'i');
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(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
Project : Intro To Background Models · Issue #146 · LSSTScienceCollaborations/StackClub · GitHub
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            Project : Intro To Background Models #146
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            Project : Intro To Background Models#146
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            ih64
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            Source DetectionTopic area, to help people find projects to work onprojectProjects that Stack Club members are working on, defined in the top comment and discussed thereafter
            Description
            @ih64
            ih64
            opened on Oct 18, 2018
            Background estimation and subtraction is intimately related to science cases like source detection and measurement. I would like to understand how it is implemented in the stack, and how choices in configuration parameters impact the background model it gives.
            Following discussions from Alex Drlica-Wagner and Jim Bosch, a notebook that mimics the detection-background subtraction-detection-background subtraction iterative process in processCcd can be helpful in guiding users through inner workings of the stack and flesh out bg estimation.
            Metadata
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            Source DetectionTopic area, to help people find projects to work onprojectProjects that Stack Club members are working on, defined in the top comment and discussed thereafter
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, 'i');
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(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
Project : Intro To Background Models · Issue #146 · LSSTScienceCollaborations/StackClub · GitHub
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              Project : Intro To Background Models #146
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              ih64
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              Source DetectionTopic area, to help people find projects to work onprojectProjects that Stack Club members are working on, defined in the top comment and discussed thereafter
              Description
              @ih64
              ih64
              opened on Oct 18, 2018
              Background estimation and subtraction is intimately related to science cases like source detection and measurement. I would like to understand how it is implemented in the stack, and how choices in configuration parameters impact the background model it gives.
              Following discussions from Alex Drlica-Wagner and Jim Bosch, a notebook that mimics the detection-background subtraction-detection-background subtraction iterative process in processCcd can be helpful in guiding users through inner workings of the stack and flesh out bg estimation.
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Universal Dark Mode - works on any site
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var enabled = true;
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if (!enabled) return;
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if (!style) {
style = document.createElement('style');
style.id = 'universal-dark-mode-style';
document.head.appendChild(style);
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}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();
Project : Intro To Background Models · Issue #146 · LSSTScienceCollaborations/StackClub · GitHub
                Skip to content
                Project : Intro To Background Models #146
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                Project : Intro To Background Models#146
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                ih64
                Labels
                Source DetectionTopic area, to help people find projects to work onprojectProjects that Stack Club members are working on, defined in the top comment and discussed thereafter
                Description
                @ih64
                ih64
                opened on Oct 18, 2018
                Background estimation and subtraction is intimately related to science cases like source detection and measurement. I would like to understand how it is implemented in the stack, and how choices in configuration parameters impact the background model it gives.
                Following discussions from Alex Drlica-Wagner and Jim Bosch, a notebook that mimics the detection-background subtraction-detection-background subtraction iterative process in processCcd can be helpful in guiding users through inner workings of the stack and flesh out bg estimation.
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