→ Herschel data for absolute beginners Herschel Science Centre (ESAC)

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→ Herschel data for absolute beginners Herschel Science Centre (ESAC)

2 This presentation contains a simple cookbook to search, retrieve, analyse and reprocess Herschel data from the Herschel Science Archive. Step 1: Register to be able to retrieve data from the Herschel Science Archive Step 2: Search for your data Step 3: Retrieve your data Step 4: Look at your data Step 5: Decide whether you need to reprocess or not (Step 5b: Reprocess your data) Step 6: Analyse your data. CONTENTS

3 Step 1: Register to be able to retrieve data from the Herschel Science Archive Step 2: Search for your data At the postcard gallery (web-based): With the Herschel Science Archive User Interface (java): You can search by object name (SIMBAD/NED resolved), by coordinates, by programme, by observer or by date. STEPS 1 & 2: REGISTRATION AND SEARCH

4 Step 4: Look at your data Summary of basic instrumental characteristics STEP 4: LOOK AT YOUR DATA The Herschel Instruments: ImagingSpectroscopy PACS – Photodetector Array Camera and Spectrometer 70 & 160 μm or 100 & 160 μm 50 – 210 μm R ~ SPIRE – Spectral and Photometric Imaging Receiver 250, 350 and 500 μm 194 – 671 μm R ~ HIFI – Heterodyne Instrument for the Far Infrared -157 – 625 μm R =

5 Step 4: Look at the data The level2 data are fully calibrated images, spectra and cubes. The Level 2.5 data combines level2 maps of the same region. STEP 4: LOOK AT YOUR PACS & SPIRE IMAGES PACS Photo: 70 & 160 or 100 & 160 micron Jy/pixel SPIRE Photo: 250, 350 & 500 microns Jy/beam or MJy/sr M31 Andromeda

6 STEP 4: LOOK AT YOUR PACS SPECTRA PACS Spec pointed: spectral cubes (5x5 spaxels) Jy vs micron PACS Spec mapping: spectral cubes (small spaxels) Jy vs micron

7 STEP 4: LOOK AT YOUR SPIRE SPECTRA SPIRE spec pointed: full coverage Jy vs GHz SPIRE spec mapping: spectral cubes Jy vs GHz

8 STEP 4: LOOK AT YOUR HIFI SPECTRA HIFI pointed: very high spectral resolution Double side-band (USB & LSB), K vs GHz HIFI mapping: spectral cubes (level2.5) Double side-band (USB & LSB), K vs GHz HIFI spectral scans: single spectra (level2.5) Single side-band (USB & LSB), K vs GHz

9 Step 5: Decide whether you need to reprocess or not This is a science-dependent question, in general all PACS data and most spectroscopy needs reprocessing for science. More details: Data Products Known Issues: (Step 5b: Reprocess your data in HIPE) Not for this demo STEPs 5: REPROCESS YOUR DATA (IF NEEDED)

10 The Herschel Images Filterλ μm FWHM arcsec “Pixel” size arcsec Flux Units Point-source Sensitivity mini- scan 5σ /1 h mJy FITS Filename Refs. PACS– x 5.8 (slow scan) – 5.8 x 9.0 (fast scan) – 5.8 x 12.1 (fast scan, ||) 3.2Jy/pixel4.7 (slow scan)Level 2/2.5: hppppb 11, 2, 32 3 PACS x 6.8 (slow scan) – 6.9 x 9.7 (fast scan) – 6.9 x 12.7 (fast scan, ||) 3.2Jy/pixel5.5 (slow scan)Level 2/2.5: hppppb 11, 2, 32 3 PACS x (slow scan) x 13.3 (fast scan) – 11.6 x 15.7 (fast scan, ||) 6.4Jy/pixel10.5 (slow scan)Level 2/2.5: hppppr 11, 2, 32 3 SPIRE Jy/beam & MJy/sr 7.3 (slow scan ||) – 12.6 (fast scan ||) Level 2/2.5: Hspirepsw 4 SPIRE Jy/beam & MJy/sr 6.0 (slow scan ||) – 10.5 (fast scan ||) Level 2/2.5: hspirepmw 4 SPIRE Jy/beam & Mjy/sr 8.7 (slow scan ||) – 15.0 (fast scan ||) Level 2/2.5: Hspireplw 4 HERSCHEL IMAGING REFERENCE

11 The Herschel Spectra: Instrument Mode Wavelengths micron/GHz Wave Freq. Units Flux Unit Line flux Sensitivity 5σ /1 h W/m 2 FITS Filenames Level 2 mostly Refs. PACS lineB2A/R1: μm B3A/R1: μm B2B/R1: μm μmJy B2A: 1.7 x hps3dpX[B/R] (spec. cubes) Rebinned: 5 x 5 x N. (freq.) Projected: 24 x 23 x N. (freq.) 1 PACS rangeB2A/R1: μm B3A/R1: μm B2B/R1: μm μmJyB2A: > 1.7 x hps3dpXs[B/R] (spec. cubes) Rebinned: 5 x 5 x N. (freq.) Projected: 24 x 23 x N. (freq.) 1 SPIRE FTS pointed SSW: 194 – 313 μm SLW: 303 – 671 μm GHzJy1.5 – 2.1 x hspireanapod (binary table, two tables, SSW and SLW) 4 SPIRE FTS mapping SSW: 194 – 313 μm SLW: 303 – 671 μm GHzJy1.5 – 2.1 x hspireanapodSxW (cubes) SSW: 10 x 10 x 1951 (freq.) SLW: 5 x 5 x 1810 (freq.) 4 HIFI pointedbands 1-5: GHz Bands 6-7: GHz GHzK<6 % (bands 1,2,3,4) < 10% (band 5) < 30% (bands 6,7) hhifi[hrs/wbs][h/v] (binary tables) 5 HIFI spectral scan bands 1-5: GHz Bands6-7: GHz GHzK<6 % (bands 1,2,3,4) < 10% (band 5) < 30% (bands 6,7) Level 2.5: mydecon/hhifiX[h/v] WBS: 2 x (freq.) 5 HIFI mapping bands 1-5: GHz Bands6-7: GHz GHzK<6 % (bands 1,2,3,4) < 10% (band 5) < 30% (bands 6,7) Level 2.5: hhifiX[h/v] [lsb/usb] HRS: 5 x 29 x 3826 (cubes) WBS: 5 x 29 x 1128 (cubes) 5 HERSCHEL SPECTRA REFERENCE

12 HERSCHEL REFERENCE LINKS Herschel Science Centre webpage Herschel Observing log Herschel Publications tool Herschel Science Archive Herschel Interactive Processing Environment (HIPE) Herschel data reduction youtube video tutorials Any questions? Let us know..

13 Thank you Any questions?

14 Step 1: Search “Fomalhaut” in SIMBAD Step 2: Search for it at the Herschel Postcard Gallery Step 3: Look at the images with ds9 or Aladin Step 4: With ds9 or Aladin retrieve near-IR images from the 2MASS Survey and compare with the Herschel ones. Step 5: With ds9 or Aladin blink all images from near-IR to 500 microns. Step 6: With ds9 make a RGB color composite with the images. Step 7: Calculate apparent sizes of the source in arcsec and in AUs at the different Herschel wavelengths Step 8: compare result with Acke et al. (2012) HERSCHEL IMAGE ANALYSIS TUTORIAL

15 From parallax to parsec: Distance(parsec) = 1./AngularSize(arcsec) From angular size to physical size Distance (AU) = Distance (parcsec) * AngularSize (arcsec) HERSCHEL IMAGE ANALYSIS TUTORIAL

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