Astrometry net compile code#
code READMEġ1 1.4 Tricks and Tips To lower the CPU time limit before giving up: $ solve-field -cpulimit will make it give up after 30 seconds.
Astrometry net compile plus#
indx.xyls a FITS BINTABLE with the pixel locations of stars from the index.rdls a FITS BINTABLE with the RA,Dec of sources we extracted from the image.axy a FITS BINTABLE of the sources we extracted, plus headers that describe the job (how the image is going to be solved).solvedexists and contains (binary) 1 if the field solved.matcha FITS BINTABLE describing the quad match that solved the image.kmz (optional) KMZ file for Google Sky-in-Earth. indx.png sources (red), plus stars from the index (green), plus the skymark ( quad ) used to solve the image. objs.png a plot of the sources (stars) we extracted from the image. 1.2 Getting Index Files Get pre-cooked index files from: ngc.png an annotation of the image.wcs a FITS WCS header for the solution.new a new FITS file containing the WCS header. 1.1 Installing See Building/installing the code. We have released several of these see Getting Index Files. This release includes a snapshot of all of the components of our current research code, including routines to: Convert raw USNO-B and Tycho2 into FITS format for easier use Uniformize, deduplicate, and cut the FITSified catalogs Build index files from these cuts Solve the astrometry of images using these index files The code includes: A simple but powerful HEALPIX implementation The QFITS library with several modifications libkd, a compact and high-performance kdtree library The code requires index files, processed from an astrometric reference catalog such as USNO-B1 or 2MASS. Over the years, it has become more robust and usable for a wider audience, but it s still neither totally easy nor bug-free. Mierle, K., Blanton, M., & Roweis, S., 2010, : Blind astrometric calibration of arbitrary astronomical images, Astronomical Journal 137, The original purpose of this code release was to back up the claims in the paper in the interest of scientific repeatability. This code is accompanied by the paper: Lang, D., Hogg, D.
Hogg, Dustin Lang, Keir Mierle and Sam Roweis. 1 Documentation Release master Lang, Hogg, Mierle, Roweis, etal May 16, 2016ģ Contents 1 code README 3 2 Change Log: 15 3 Building/installing the code 17 4 Building Index Files for 23 5 : API 31 6 libkd documentation 39 7 code API reference 41 8 Setting up a copy of the web service 43 9 Once-Asked Questions code structure orientation : Data model Backups of stuff python API reference: astrometry.util Indices and tables 63 iħ CHAPTER 1 code README Copyright Michael Blanton, David W.
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