PanSTARRS Seminar IPP Eugene Magnier PanSTARRS An IFA

Pan-STARRS Seminar: IPP Eugene Magnier Pan-STARRS An IFA Pan-STARRS Seminar 735 October 6, 2004 Image Proces Overview

Pan-STARRS Seminar: IPP Summary ● ● Eugene Magnier of Topics Image Analysis Steps / Science Da IPP System Architecture & Motiva Software Organization (PSLib / M PS-1 vs PS-4 implications for IP

Pan-STARRS Seminar: IPP Eugene Magnier within Pan-STARRS Telescopes Cameras OTIS raw images metad ata, detec tions IDs metadata metad ata, detec tions IDs IPP MOPS Science Client Legend orbits Exte identifications PS static sky metadata, imagesdetections static sky meta & imagesother data World Users rnal Syste m pixel PSPS filtered detections metadata Subsyst em Solar System Community data & object photons data commands

Pan-STARRS Seminar: IPP ● ● ● Image Eugene Magnier Processing Responsibilities: Processing of single images (phase ●remove instrumental signature ●bright object detection / basic c ●initial astrometric & photometric c Merging of image groups (phase 4) ●warp & resample to reference imag ●stack and CR-reject ●subtract static sky image ●measure objects on difference & su ●update static sky Construct Calibrations ●basic calibration images (bias, da ●derived calibration images (fringe ●other calibration data (optical d Analysis Trace & Monitor System Characterization

Pan-STARRS Seminar: IPP Phase ● 2 Eugene Magnier Issues Flat-fields are corrected based o

Pan-STARRS Seminar: IPP Phase ● ● ● 2 Eugene Magnier Issues Flat-fields are corrected based o fringe frames may be built with a fringe correction may be based on

Pan-STARRS Seminar: IPP Phase ● ● ● 2 Eugene Magnier Issues Flat-fields are corrected based o fringe frames may be built with a fringe correction may be based on minimal object parameters (x, y, high detection threshold (~20 sigm we keep postage-stamp images on a

Pan-STARRS Seminar: IPP Phase ● ● 4 Eugene Magnier Issues overlapping pixels are mapped to c Object detections are perfomed on: ●Difference Images (P 4 D) to low thr ●Improved Summed Images (P 4 S) to mo Static Sky is updated note caveat in CR rejection for seq Phase 2 images: 0. 3 arcsec/pix Chip/Cell units - = - static =sky cleaned difference Phase 4 images: 0. 2 arcsec/pix Static Sky cells image also yields transient-free summed and updated static sky image. (P 4 D) image (P 4 S)

Pan-STARRS Seminar: IPP Static ● ● ● Sky Eugene Magnier Analysis Detailed object analysis including ●complex object deblending a la SDS ●simultaneous multi-band analysis Analysis is NOT performed nightly ●Static Sky changes slowly ●Goal is deep science, not variabili ●Analysis is computationally more inte Rolling Analysis: ●~1 degree RA strips per day ●only RA within 10 degrees of solar

Pan-STARRS Seminar: IPP ● ● ● Data Eugene Magnier Products Imaging Data Products: ●Static Sky images ●Postage Stamp Images Object Measurements ●P 2, P 4 S, P 4 D, Static Sky ●rudimentary object associations ●photometric / astrometric calibrat Metadata ●image information from summit ●weather & other ancillary summit d ●analysis statistics ●analysis history ●calibration information All external data products are sent MOPS & other science clients also r

Pan-STARRS Seminar: IPP Additional Data has Eugene Magnier Image units Analysis of: Issues cell, chip, mosa Analysis is staged by data unit: ●Phase 1: analysis preparation (mo ●Phase 2: single image analysis (ch ●Phase 3: calibration improvements ●Phase 4: image combinations (fram Precision goals (PS-4): ● 30 milliarcsec relative astrometry ● 100 milliarcsec absolute astromet ● 5 millimag relative photometry ● 10 millimag absolute photometry These goals can only be efficiently a Pan-STARRS Astrometric and Photom

Pan-STARRS Seminar: IPP Hardware Eugene Magnier Organization: optimized for

Pan-STARRS Seminar: IPP System Eugene Magnier Architecture state machine (not event d system infrastru independent o architectural are stand-al

Pan-STARRS Seminar: IPP Eugene Magnier Software Architecture processing scheduler parallel processing controller processing scripts / Software analysis stages Tools: (phase 0 -4, cal 1 CVS 3, Astrom. Ref, SWIG Photom. Ref) modules bugzill (debias, convolve, a flatten, findobjects, doxygen etc) eups PSLib [includes autocon wrappers to externals] f (images, vectors, make errors, syscalls, etc) gcc External Libraries External Systems (glibc, glib, gsl, (Lustre? , GFS? , CFITSIO, FFTW, SLALIB, Mysql, Apache, etc)

Pan-STARRS Seminar: IPP Pan-STARRS Eugene Magnier 1 primary PS-1 goals” ●AP Survey ●verification surveys (MVP & IVP) (especially for AP Survey) ● no simultaneous images ● little or no Phase 4 analysis (fi ● no static sky ● limited reference data ● keep all raw data (~1 year) ● multiple analysis passes

Pan-STARRS Seminar: IPP Eugene Magnier An Advertisement. . . We would like to hire IPP demo projects: ● ● 2 - 3 grad stu M 31 variability analysis SDSS / Megacam proper motion study CFH 12 K / 2 MASS i-band dropouts Sky. Probe A&E development and test