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LSST school workshop: Getting ready to do science with LSST data
Advances in astronomical image processing - Solving the problems of image coaddition and image subtraction (8976) - Mercredi 14 juin 2017 10:00 - 10:30

Advances in astronomical image processing - Solving the problems of image coaddition and image subtraction

While co-addition and subtraction of astronomical images stand at the heart of observational astronomy, the existing solutions for them lack rigorous argumentation, are not achieving maximal sensitivity and are often slow. Moreover, there is no widespread agreement on how they should be done, and often different methods are used for different scientific applications.

I am going to present rigorous solutions to these problems, deriving them from the most basic statistical principles. These solutions are proved optimal, under well defined and practically acceptable assumptions, and in many cases improve substantially the sensitivity, robustness and speed of both coaddition and subtraction.

For coaddition, I will present a coadd image that is:

a) sufficient for any further statistical decision or measurement on the underlying constant sky, making the entire data set redundant.

b) improves both survey speed (by 5-20%) and effective spatial resolution of past and future astronomical surveys.

c) improves substantially imaging through turbulence applications.

d) much faster than many of the currently used coaddition solutions.

For subtraction, I will present a subtraction image that is:

a) optimal for transient detection under the assumption of spatially uniform noise.

b) sufficient for any further statistical decision on the differences between the images, including the identification of cosmic rays and other image artifacts.

c) Free of subtraction artifacts, potentially allowing (for the first time) robust automatic transient detection in real time, opening new avenues for scientific exploration.

d) more sensitive than previous transient detection methods

e) orders of magnitude faster than past subtraction methods.

Mr. Barak ZACKAY (Weizmann Institute of Science)

Toutes les vidéos de l'évenement LSST school workshop: Getting ready to do science with LSST data (35 videos)

00:57:52.63

2017-06-12

09:05 - 10:30 : Point sources and astrometry

00:19:33.76

2017-06-12

11:00 - 11:30 : Point sources and astrometry (cont.)

00:53:58.55

2017-06-12

11:30 - 12:30 : Extended sources and galaxy photometry

00:42:27.54

2017-06-12

14:00 - 15:00 : Extended sources and galaxy photometry (cont.)

00:40:20.86

2017-06-12

15:00 - 15:30 : Image differencing

01:21:04.24

2017-06-12

16:00 - 17:30 : Image differencing (cont.)

00:47:16.06

2017-06-13

09:20 - 10:00 : PSF parameter estimation

00:39:50.93

2017-06-13

09:20 - 10:00 : Efficient multi-band deblending

00:36:08.77

2017-06-13

11:10 - 11:50 : LSST DM Processing of Crowded Fields

00:24:52.80

2017-06-13

11:50 - 12:15 : Improved Point Source Detection in Crowded Fields using Probabili...

00:35:12.33

2017-06-13

14:00 - 14:45 : Hyper Suprime-Cam Subaru Strategic Program

00:47:18.80

2017-06-13

14:45 - 15:30 : HSC data meets LSST code

00:30:32.70

2017-06-13

16:00 - 16:40 : Photometry extraction and validation using the HSC pipeline of HS...

00:49:15.71

2017-06-13

16:40 - 17:20 : Reprocessing CFHT data with the LSST DM software stack

00:39:19.51

2017-06-13

17:20 - 18:00 : Reprocessing CFHT Deep fields with the stack

00:33:20.11

2017-06-14

09:00 - 09:30 : Joint astrometry

00:29:58.54

2017-06-14

09:30 - 10:00 : Creating DCR-matched templates for image differencing

00:32:01.48

2017-06-14

10:00 - 10:30 : Advances in astronomical image processing - Solving the problems ...

00:32:11.88

2017-06-14

11:00 - 11:30 : LSST DM stack image differencing on CFHT images

00:34:11.44

2017-06-14

14:00 - 14:35 : Dark Energy Survey - Status, Science, and Algorithmic Advancement...

00:32:37.68

2017-06-14

14:35 - 15:10 : Forward Global Calibration of the Dark Energy Survey [remote pres...

00:36:19.72

2017-06-14

15:10 - 15:45 : Photometric Calibration: lessons from CFHTLS

00:24:44.83

2017-06-14

16:10 - 16:40 : PHOTOMETRYPIPELINE: An automated pipeline for calibrated photomet...

00:27:32.14

2017-06-15

09:00 - 09:30 : LSST Data Management Overview

00:41:45.78

2017-06-15

09:30 - 10:10 : What LSST Will Deliver: Images, Catalogs, Alerts, Services

00:33:17.41

2017-06-15

10:10 - 10:40 : Qserv: A distributed shared-nothing database for the LSST catalog

00:31:42.47

2017-06-15

11:10 - 11:40 : Scaling cloud for LSST catalog at IN2P3

00:44:12.37

2017-06-15

11:40 - 12:20 : LHC experiments : Petabytes to papers

00:34:58.27

2017-06-15

12:20 - 12:50 : Exploring Spark and MongoDb for LSST

00:40:06.94

2017-06-15

14:00 - 14:40 : Euclid - An update on the mission and its processing plan

00:32:55.31

2017-06-15

14:40 - 15:20 : The Dark Energy Survey Data Management System [remote presentatio...

00:33:43.47

2017-06-15

15:50 - 16:20 : Weak Lensing Data processing for the CFHTLenS and KiDS surveys [r...

00:35:11.10

2017-06-15

16:20 - 17:00 : Lessons from a Large Survey: The First Decade of Pan-STARRS Obser...

00:16:24.21

2017-06-15

17:00 - 17:10 : CosmoHub demonstration [spontaneous contribution]

00:04:11.44

2017-06-15

17:10 - 17:20 : Workshop: Wrap up

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