SUN/264.0

Starlink Project
Starlink User Note 264.0

Andrew G. Gibb & Tim Jenness

10 Jun 2014

Copyright © 2014 University ofBritish Columbia and the Science & Technology Facilities Council


ORAC-DR — SCUBA-2 Pipeline Data Reduction

Version 1.4.0

User’s Guide



Abstract

The Orac-dr data reduction pipeline is designed to reduce data from many different instruments. This document describes how to use Orac-dr to process data taken with the SCUBA-2 instrument on the James Clerk Maxwell Telescope.

Contents

1 Introduction
 1.1 Document conventions
2 SCUBA-2 Pipeline Variants
 2.1 Requirements for running the SCUBA-2 pipeline
 2.2 Important environment variables
 2.3 Getting help
3 Overview of the SCUBA-2 pipeline
 3.1 Science pipeline
 3.2 Quicklook (QL) pipeline
 3.3 Summit pipeline
4 Science pipeline processing of SCUBA-2 data
 4.1 Running the science pipeline at your home institution
 4.2 Pipeline products
 4.3 Calibration
 4.4 Customizing the map-making
 4.5 Running the science pipeline at EAO/JCMT
 4.6 Processing examples
5 Analysis of processed data
 5.1 Coadding/mosaicking multiple images
 5.2 Registering images to a common centre
 5.3 Comparing noise with integration-time calculator
6 Processing and analysis details
 6.1 Matched filter
 6.2 NEFD image calculation
 6.3 Source-fitting
 6.4 FCF calculations
  6.4.1 ARCSEC
  6.4.2 BEAM
  6.4.3 BEAMMATCH
 6.5 Error beam
References
A Running the SCUBA-2 pipeline at the JCMT
 A.1 Prerequisites
 A.2 Running the QL pipeline
 A.3 Running the summit pipeline
B Processing JCMT Legacy Survey data
 B.1 Cosmology Legacy Survey (CLS)
 B.2 Survey Of Nearby Stars (SONS)
 B.3 SCUBA-2 “Ambitious-Sky” Survey (SASSy)
 B.4 JCMT Plane Survey (JPS)
C Processing non-science data
 C.1 FLATFIELD
  C.1.1 Fast-ramps
 C.2 NOISE
 C.3 POINTING
 C.4 FOCUS
 C.5 SETUP
 C.6 SKYDIP
D Engineering Data
 D.1 NEP
E Alphabetical list of SCUBA-2 recipes
F Classified list of SCUBA-2 recipes
G Main Science recipes
FAINT_POINT_SOURCES – alias for REDUCE_SCAN_FAINT_POINT_SOURCES
FAINT_POINT_SOURCES_JACKKNIFE – alias for REDUCE_SCAN_FAINT_POINT_SOURCES_JACKKNIFE
REDUCE_CLS – alias for REDUCE_SCAN_FAINT_POINT_SOURCES_JACKKNIFE
REDUCE_DREAMSTARE – Process DREAM/STARE images
REDUCE_JPS – alias for REDUCE_SCAN_EXTENDED_SOURCES
REDUCE_POINTING – alias for REDUCE_SCAN
REDUCE_SASSY – Process data for the SASSy project
REDUCE_SCAN – Process SCAN-mode data
REDUCE_SCAN_CHECKRMS – Process SCAN-mode data and collect noise/NEFD statistics
REDUCE_SCAN_EXTENDED_SOURCES – Process SCAN data from extended sources
REDUCE_SCAN_FAINT_POINT_SOURCES – Process SCAN data from faint compact sources
REDUCE_SCAN_FAINT_POINT_SOURCES_JACKKNIFE – Process blank field data with a jack-knife-based method
REDUCE_SCAN_FAKEMAP – Process SCAN data with existing map data added
REDUCE_SCAN_ISOLATED_SOURCE – Process SCAN data an isolated source
REDUCE_SCAN_JSA_PUBLIC – Form observation tiles for the public co-add
REDUCE_SONS – Process data for the SONS project

H FTS-2 recipes
REDUCE_FTS_FOCUS – Recipe for processing FTS-2 focus observations
REDUCE_FTS_IMAGE_FOCUS – Recipe for processing FTS-2 image focus observations
REDUCE_FTS_IMAGE_POINTING – Recipe for processing FTS-2 image pointing observations
REDUCE_FTS_POINTING – Recipe for processing FTS-2 pointing observations
REDUCE_FTS_SCAN – Recipe for processing FTS-2 SCAN data
REDUCE_FTS_SCAN_QL – alias for REDUCE_SCAN_QL
REDUCE_FTS_SCAN_SUMMIT – alias for REDUCE_FTS_SCAN
REDUCE_FTS_ZPD – Recipe for processing FTS-2 ZPD calibration data
REDUCE_FTS_ZPD_QL – alias for REDUCE_SCAN_QL
REDUCE_FTS_ZPD_SUMMIT – alias for REDUCE_FTS_ZPD

I POL-2 recipes
REDUCE_POL_SCAN_SUMMIT – Process POL-2 scan/spin mode data
REDUCE_POL_SCAN_QL – alias for REDUCE_SCAN_QL
REDUCE_POL_SCAN_SUMMIT – alias for REDUCE_POL_SCAN
REDUCE_POL_STARE – Recipe for processing POL-2 stare data
REDUCE_POL_STARE_QL – alias for REDUCE_SCAN_QL
REDUCE_POL_STARE_SUMMIT – alias for REDUCE_POL_STARE

J Summit Recipes
REDUCE_POINTING_SUMMIT – Process POINTING observations in the summit pipeline
REDUCE_SASSY_SUMMIT – alias for REDUCE_SCAN_SUMMIT
REDUCE_SCAN_EXTENDED_SOURCES_SUMMIT – alias for REDUCE_SCAN_SUMMIT
REDUCE_SCAN_FAINT_POINT_SOURCES_SUMMIT – alias for REDUCE_SCAN_SUMMIT
REDUCE_SCAN_ISOLATED_SOURCE_SUMMIT – alias for REDUCE_SCAN_SUMMIT
REDUCE_SCAN_SUMMIT – Summit recipe for processing SCAN data

K Quick Look Recipes
REDUCE_DREAMSTARE_QL – QL processing DREAM/STARE images
REDUCE_POINTING_QL – QL processing of POINTING observations
REDUCE_SASSY_QL – alias for REDUCE_SCAN_QL
REDUCE_SCAN_EXTENDED_SOURCES_QL – alias for REDUCE_SCAN_QL
REDUCE_SCAN_FAINT_POINT_SOURCES_QL – alias for REDUCE_SCAN_QL
REDUCE_SCAN_ISOLATED_SOURCE_QL – alias for REDUCE_SCAN_QL
REDUCE_SCAN_QL – QL process SCAN data

L Recipes for Non Science Observations
ARRAY_TESTS – Co-add and display DREAM/STARE images
ASSESS_DATA_NOISE – Calculate noise properties of SCUBA-2 data
BENCHMARK – Benchmarking recipe
ENG_NEP – Process NEP measurements made in engineering mode
ENG_NEP_QL – QL processing NEP measurements made in engineering mode
REDUCE_DARK – Process dark frames
REDUCE_FASTFLAT – Process fast-ramp flatfield data
REDUCE_FLATFIELD – Process flatfield measurements
REDUCE_FOCUS – Recipe for deriving focus information
REDUCE_FOCUS_QL – process focus observations in the quick-look pipeline
REDUCE_FOCUS_SUMMIT – derive focus information in the summit pipeline
REDUCE_NOISE – Process NOISE observations
REDUCE_NOISE_PHOTON – determine photon noise contribution to total noise
REDUCE_NOISE_QL – QL processing NOISE observations
REDUCE_NOISE_SUMMIT – Summit processing NOISE observations
REDUCE_SETUP – process data from a setup observation
REDUCE_SETUP_QL – process data from a setup observation in the QL pipeline
REDUCE_SETUP_SUMMIT – process data from a setup observation in the summit pipeline
REDUCE_SKYDIP – Process SKYDIP observations
REDUCE_SKYDIP_QL – Process SKYDIP observations with the quick-look pipeline
REDUCE_SKYDIP_SUMMIT – Process SKYDIP observations with the summit pipeline

M Obsolete Recipes
REDUCE_POINTING – Process POINTING observations

References

[1]   Cayón, L. et al., 2000, Isotropic wavelets: a powerful tool to extract point sources from cosmic microwave background maps, MNRAS, 315, 757

[2]   Chapin E. L., et al., 2013, SCUBA-2: iterative map-making with the Sub-Millimetre User Reduction Facility, MNRAS, 430, 2545

[3]   Mairs S. et al., 2021, A Decade of SCUBA-2: A Comprehensive Guide to Calibrating 450um and 850um Continuum Data at the JCMT, MNRAS, 430, 2534