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Merge pull request #16 from lsst-dm/tickets/DM-52200
DM-52200: Add missing tech note DOIs for RTN-095 & PSTN-019
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‎configs/ctn-001.yaml‎

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title: LSSTCam and LSSTComCam Focal Plane Layouts
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handle: CTN-001
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site_url: https://ctn-001.lsst.io
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abstract: |-
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This document includes figures depicting the layouts of the LSST Camera and
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LSST Commissioning Camera, highlighting the arrangement and identification of
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science, wavefront, and guider sensors, as well as their individual readout
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image segments.
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doi: 10.71929/rubin/2584019
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osti_id: 2584019
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date: 2025-03-15
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authors:
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- plazasa
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- digelsw
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- roodmana
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- broughtona
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- CameraTeam
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relationships:
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References:
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- 10.71929/RUBIN/2561361
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- 10.71929/rubin/2571927
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- 10.71929/rubin/2583999
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IsOriginalFormOf:
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- 10.5281/zenodo.14984001

‎configs/dmtn-015.yaml‎

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title: Flavors of Coadds
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handle: DMTN-015
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site_url: https://dmtn-015.lsst.io
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abstract: |-
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A glossary of different kinds of coadded images, with brief descriptions of the algorithms behind them.
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date: 2016-05-31
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doi: 10.71929/rubin/2583432
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osti_id: 2583432
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authors:
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- boschjf
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relationships:
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References:
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- 10.1086/300689
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- 10.1086/305984
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- 10.1086/660137
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- 10.3847/1538-4357/836/2/188

‎configs/dmtn-021.yaml‎

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title: Implementation of Image Difference Decorrelation
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handle: DMTN-021
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site_url: https://dmtn-021.lsst.io
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date: 2016-06-14
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abstract: |-
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Herein, we describe a method for decorrelating image differences produced by
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the Alard and Lupton (1998) method of PSF matching. Inspired by the recent
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work of Zackay et al. (2016) and the prior work of Kaiser [2004], this
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proposed method uses a single post-subtraction convolution of an image
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difference to remove the neighboring pixel covariances in the image difference
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that result from the convolution of the template image by the PSF matching
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kernel. We describe the method in detail, analyze its effects on image
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differences (both real and simulated) as well as on detections and photometry
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of detected sources in decorrelated image differences. We also compare the
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decorrelated image differences with those resulting from a basic
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implementation of Zackay et al. (2016). We describe the implementation of the
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new correction in the LSST image differencing pipeline, and discuss potential
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issues and areas of future research.
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doi: 10.71929/rubin/2586490
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osti_id: 2586490
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authors:
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- reissdj
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- luptonrh
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relationships:
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IsOriginalFormOf:
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- 10.5281/zenodo.192833
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References:
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- 10.1051/aas:2000214
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- 10.1086/305984
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- 10.3847/0004-637X/830/1/27
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- 10.3847/1538-4357/836/2/188
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- 10.3847/1538-4357/ab042c
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- 10.48550/arXiv.1901.09999
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- 10.5281/zenodo.192833
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- 10.71929/rubin/2570545
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- 10.71929/rubin/2583432

‎configs/dmtn-031.yaml‎

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title: Pessimistic Pattern Matching for LSST
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handle: DMTN-031
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site_url: https://dmtn-031.lsst.io
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date: 2018-06-07
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abstract: |-
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The current reference catalog matcher used by LSST for astrometry has been
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found to not be adequately robust and fails to find matches on several current
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datasets. This document describes a potential replacement algorithm, and
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compares its performance with the current implementation.
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doi: 10.71929/rubin/2586578
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osti_id: 2586578
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authors:
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- morrisoncb
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relationships:
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References:
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- 10.1051/0004-6361/201629512
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- 10.1071/AS07028
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- 10.3847/0004-637X/832/2/155
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- 10.71929/rubin/2570545

‎configs/dmtn-036.yaml‎

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title: "jointcal: Simultaneous Astrometry & Photometry for thousands of Exposures with Large CCD Mosaics"
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handle: DMTN-036
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site_url: https://dmtn-036.lsst.io
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date: 2017-09-18
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abstract: |-
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The jointcal package simultaneously optimizes the astrometric and photometric
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calibrations of a set of astronomical images. In principle and often in
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practice, this approach produces distortion and thoroughput models which are
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more precise than when fitted independently. This is especially true when the
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images are deeper than the astrometric reference catalogs. In the "Astromatic"
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software suite, this simultaneous astrometry functionality is fulfilled by
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"SCAMP". The code we describe here has similar aims, but follows a slightly
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different route. Jointcal is built on top of the the LSST Data Management
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software stack.
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doi: 10.71929/rubin/2586685
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osti_id: 2586685
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authors:
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- parejkojk
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- astierp
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- boschjf
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relationships:
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References:
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- 10.1002/asna.19592850507
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- 10.1051/0004-6361/201629512
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- 10.1086/524677
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- 10.1088/0067-0049/205/2/20
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- 10.1088/1538-3873/aa6c55
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- 10.1137/0710036
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- 10.71929/rubin/2570545

‎configs/dmtn-080.yaml‎

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title: Coaddition Artifact Rejection and CompareWarp
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handle: DMTN-080
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site_url: https://dmtn-080.lsst.io
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abstract: |-
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LSST images will be contaminated with transient artifacts, such as optical
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ghosts, satellite trails, and cosmic rays, and with transient astronomical
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sources, such as asteroid ephemerides. We developed and tested an algorithm
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to find and reject these artifacts during coaddition, in order to produce
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clean coadds to be used for deep detection and preliminary object
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characterization. This algorithm, CompareWarpAssembleCoadd, uses the time-
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series of PSF-matched warped images to identify transient artifacts. It
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detects artifact candidates on the image differences between each PSF-matched
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warp and a static sky model. These artifact candidates include both true
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transient artifacts and difference-image false positives such as difficult-
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subtract-sources and variable sources such as stars and quasars. We use the
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feature that true transients appear at a given position in the difference
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images in only a small fraction (configurable) of visits, whereas variable
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sources and difficult-to-subtract sources appear in most difference images. In
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this report, we present a description of the method and an evaluation using
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Hyper SuprimeCam PDR1 data.
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doi: 10.71929/rubin/2583441
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osti_id: 2583441
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date: 2018-08-31
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authors:
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- alsayyady
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relationships:
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References:
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- 10.1002/asna.200410285
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- 10.1016/j.ascom.2016.04.002
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- 10.1093/pasj/psx080
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- 10.71929/rubin/2583432
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IsOriginalFormOf:
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- 10.5281/zenodo.2605417

‎configs/dmtn-093.yaml‎

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title: Design of the LSST Alert Distribution System
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handle: DMTN-093
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site_url: https://dmtn-093.lsst.io
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date: 2024-08-23
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abstract: |-
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We describe the proposed design and implementation of the LSST Alert
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Distribution System, which provides rapid dissemination of alerts to community
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alert brokers. At time of writing, this service is still under development;
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this “living document” describes current thinking, but is expected to evolve
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over the course of LSST construction.
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doi: 10.71929/rubin/2586493
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osti_id: 2586493
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authors:
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- pattersonmt
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- bellme
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- swinbankjd
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- nelsons
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- smartbm

‎configs/dmtn-101.yaml‎

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title: Verifying LSST Calibration Data Products
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handle: DMTN-101
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site_url: https://dmtn-101.lsst.io
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date: 2025-01-16
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abstract: |-
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A description of plans for verifying LSST's Calibration Data Products. This
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document covers our approach to verification element LVV-57, addressing
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requirement DMS-REQ-0130.
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doi: 10.71929/rubin/2586569
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osti_id: 2586569
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authors:
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- luptonrh
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- plazasa
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- watersc
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relationships:
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References:
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- 10.1051/0004-6361/201935508
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- 10.1086/668891
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- 10.71929/RUBIN/2561361
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- 10.71929/rubin/2571927
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- 10.71929/rubin/2571930

‎configs/dmtn-190.yaml‎

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title: Consistent galaxy colors with Gaussian-Aperture and PSF photometry
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handle: DMTN-190
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site_url: https://dmtn-190.lsst.io
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abstract: |-
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Gaussian-Aperture and PSF photometry algorithm measures consistent colors for
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extended sources such as galaxies that are largely independent of seeing. This
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technote briefly presents the mathematical description of the algorithm and
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focuses on its implementation in the Rubin Science Pipelines. This document
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also serves as a reference for several of the analytical calculations that are
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tested in the unit tests.
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doi: 10.71929/rubin/2583849
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osti_id: 2583849
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date: 2022-02-23
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authors:
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- kannawadia
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relationships:
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References:
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- 10.1093/mnras/stt244
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- 10.1093/mnras/stv2140
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- 10.71929/rubin/2570545

‎configs/dmtn-197.yaml‎

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title: Streak Masking in DM Image Processing
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handle: DMTN-197
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site_url: https://dmtn-197.lsst.io
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date: 2021-07-15
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abstract: |-
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Streaks caused by satellites are a persistent problem in optical images, and
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their occurrence will likely increase in the coming years. Many Hyper Suprime-
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Cam images are already affected by streaks, and the same is expected for Rubin
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Observatory data. In the LSST Data Release Production (DRP), most streaks and
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other artifacts are already detected and masked by the algorithm
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CompareWarpAssembleCoadd. However, some streaks are not caught at this stage
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and can contaminate the final coadds and detection catalogs. To find and mask
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these, we adopt a morphologically-based method for detecting streaks, which
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uses the Kernel-Based Hough Transform to detect straight lines. Once the lines
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are detected, the streak profile is fit and the affected portion of the image
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is masked out. This algorithm, maskStreaks, is included in the meas_algorithms
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package and is used in CompareWarpAssembleCoadd to remove streaks from coadds.
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Similar implementation in the Alert Production Pipeline is possible but has
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not been implemented.
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doi: 10.71929/rubin/2586496
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osti_id: 2586496
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authors:
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- saundersc
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relationships:
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References:
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- 10.1016/j.patcog.2007.04.003
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- 10.1145/361237.361242
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- 10.71929/rubin/2583441

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