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HIFI instrument and calibration web page

NEW NEW NEW Latest updates -- 10 January 2017 NEW NEW NEW

  • HIPE 15.0 is the latest user release
  • A new HIFI calibration tree has been released, with very minor updates
  • The first version of the HIFI handbook is now available
  • Check the important calibration updates and associated improvements expected in the HIPE 14 (and final) reprocessed data - this includes in particular updated sideband gain ratio in bands 1 to 4
  • The HIFI products now come with a frequency-dependent intensity calibration uncertainty budget
  • Channel flags for spurs are now populated in all HIFI observations (this was limited to spectral scan up to HIPE 13)
  • Re-organisation of the HIFI quality flags for a better assessement of issues being relevant or not to the end products
  • Users wishing to import their HIFI data into Gildas/CLASS can now do so directly with the Gildas oct15 release without the need of any previous conversion

Overview of HIFI performances and data

  • HIFI calibration data
    • A significant number of the data taken by HIFI in the framework of the Performance Validation (PV) and routine phase are now publicly available. There are particular caveats that apply to those data. They are described in this disclaimer note.

  • See also
    • HIFI fact sheet A 2-page guide to the HIFI instrument
    • A&A paper describing the method used to measure stability performance with HIFI (added 4 Oct 2011)
    • A&A paper about the optimisation of mapping modes for heterodyne instruments (added 18 March 2014)
    • The HIFI observer's manual version 2.4 (version for OT-2) (HTML) or PDF (5.7 Mb)

Reducing HIFI data

Recommended User release

HIPE and Java 8 : please consult the HIPE Known Issues page regarding important information on issues with Java for different versions of HIPE.

Should I reprocess my date with HIPE 15.0 ?

HIPE 15.0 is the final user release of HIPE. This version provides an optimisation of various interactive analysis tools offered within HIPE, however, it does not provide any change in the instrument pipeline algorithm. As such products generated with HIPE 15.0 will be identical (within negligible differences for very particular cases - see the DP known issues page) to those generated during the last bulk reprocessing, which corresponds essentially to HIPE 14.1 for HIFI products. The main new or upgraded functionalities offered by HIPE 15 are summarised in the What's New page.

Which data did most benefit from being reprocessed in HIPE 14.1/14.2 ?

If your data have been processed with HIPE 14.1

  • Isolated problematic processing with 14.1
    • A dozen of observations was not properly processed in 14.1 and 14.0.1. The list of those obsids is: 1342197147, 1342210032, 1342216806, 1342219255, 1342219454, 134230216, 1342245299, 1342246507, 1342245997, 1342250406, 1342250721, 1342265972, 1342263227, 1342192673, 1342218631. These observations have been reprocessed correctly with 14.2
If your data have been processed with HIPE 14.0.1

  • Spectra mean and median statistical numbers
    • The HIFI 14.0.1 products suffered from a minor bug leading to a wrong computation of the mean and median spectra values (i.e. a measure of the DSB continuum to first order). This has been repaied in 14.1
If your data have been processed with HIPE 13.0, HIPE 12.0 or HIPE 11.1

  • Intensity calibration uncertainty
    • HIPE 14 introduces a new product providing an estimated breakdown of the intensity calibration uncertainty. The uncertainties are given separately for each component, as well as in a quadratic sum fashion for all statistically independent elements. This sum applies to the calibration of data in the Ta* scale. Further systematic and random errors apply for data converted into different intensity scales (e.g. Tmb or Jy). See further details in section 9 of the DRG.

  • Pointing reconstruction
    • In HIPE 14, those observations where the interlacing mode was activated (i.e. using more than just 9 guide stars in the star tracker) will benefit from an more accurate reconstructed astrometry and so positions may change in those cases. On top of that, the quality figure associated to the new gyro-propagated method introduced back in HIPE 13 (see also the following Pointing Information page) is now computed in a slightly different fashion. Since the application or not of the gyro-propagated pointing is, for HIFI, conditional upon a certain threshold on this quality (avoiding to apply the new pointing reconstruction to under-performing case), the number of case making us of one or the other approach will differ in HIPE 14 - we recall that in case the gyro-propagated method is discarded, the pointing is the same as that used back in HIPE 12.For the HIFI data such a correction is applied in a conditional fashion depending on a quality figure computed for each individual observation. The new pointing reconstruction will not apply to under-performing cases, and those latter will still use the pointing files used back in HIPE 12. Details about the new attitude reconstruction, and the way it is approached and may impact the HIFI data, can be found in this memo.

  • Band 6 and 7 observations
    • From HIPE 13 onward observations in bands 6 and 7 have been automatically corrected from the Electrical Standing Wave affecting those data. The correction is based on an optimised fit to the baseline artefact stored in the HIFI calibration files and applied by the pipeline. In HIPE 14, some of those stored solutions have been refined and so the resulting products will be improved. For instructions on how to benefit from this reprocessing and see the typical improvement expected in the data please refer to this section from the HIFI Data Reduction Guide (DRG).

  • Spectral Scan observations
    • The reprocessing of spectral scans in HIPE 13 made use of optimised mask tables for spurs and unruly baseline ranges, resulting in improved deconvolved solutions at the Level 2.5 (an example of such improvement between HIPE 12 (left - red) and HIPE 13 (right - black) is shown in this plot - see also section 5.4 of the DRG). In HIPE 14, a dozen of additional spectral scans (mostly from the calibration programme) have been added to this list.In order to benefit from this update you should reprocess your data from Level 0 with the new calibration tree.

  • Spur warning flags
    • In HIPE 14, a new channel flag has been introduced ("warning") that will be assigned to the data based on a knowledge base of spurious features built from the spectral scan flagging (see bullet above). These flags will be applied to all point and mapping observations. They should be taken as indicative as they not necessarily accurately match spurious features in the data where they got applied. For this reason, this new flag is not honoured by any of the standard interactive post-processing tasks.

  • Flags in OFF positions.
    • In HIPE 13 the data used in the OFF positions were already processed up to an equivalent Level 2 calibration (both in intensity and frequency) in order to be directly comparable to the ON-target data. In HIPE 14, those OFF spectra will also hold spur and warning flags that will be propagated from the ON-targert ones. This feature is for example very interesting in order to perform a deconvolution of the OFF spectra in a spectral scan and be able to compare the OFF spectra to the level 2.5 deconvolved products of those observations.
If your data have been processed with a version earlier than 11.1

  • Solar System Object ephemerides
    • A bug (see here) was fixed in the calculation of SSO ephemeris positions (ra_centre/dec_centre) that led to offsets of up to ~10". This bug affected users that use cubes in a co-moving frame (including the standard Level 2.5 cubes), use the doOffset task, or make explicit use of ra_centre / dec_centre in their HIPE scripts. The offset is practically constant over a map and could, e.g., make the emission of a comet appear to be off-center when it really isn't. The fixed bug is in the Level 0 pipeline, which users cannot run easily. The issue was fixed in HIPE 11.1.
If your data have been processed with a version earlier than 10.3

  • DBS Observations If you have data processed with < HIPE 10
    • A new pipeline step, mkDbsReference, calculates the differences in the chop positions in all DBS observations, and after applying the band-pass correction, stores them in a product in calibration->pipeline-out called ReferenceSpectra. This allows you to check for contamination in chop positions for all types of DBS observations.

  • Improved pointing reconstruction for observations taken between OD 320 and 761 If you have data processed with < HIPE 9
    • The pointing information attached to the data for observations taken between OD 320 and OD761 did not use the most accurate representation of the star tracker focal length. This was done for the bulk reprocessing with HIPE 9. As a consequence, some observations will experience a shift in astrometry, that can be as high as 8 arcsec. Details about the consequences for a particular obsid, and recipes to reconstruct the improved pointing yourself can be found at http://herschel.esac.esa.int/twiki/bin/view/Public/HowToUseImprovedPointingProducts as well as in the Level 0 section of the HIFI Data Reduction Guide.

  • Backfilling of observational parameters If you have data processed with < HIPE 9
    • From 9.1 onwards, most of the observational parameters that got optimised in HSpot will be propagated into the observation context, under a new product called HifiUplinkProduct (in the auxiliary product branch). Some of these parameters will be used in the pipeline to e.g. estimate the dimension of the cubes in the mapping and have them more representative of how the map was really obtained.

  • Solar System Object maps If you have data processed with < HIPE 9
    • Cubes for moving targets are now created in the comoving frames in HIPE 9. In order to benefit from that, you should re-pipeline from Level 0 up to Level 2.5. Note that the hifiPipeline task should be called with the option "Aux=True". Please check the Pipeline chapter of the HIFI Data Reduction Guide for more details about how to do that.

Documentation and Cookbooks

  • The HIFI Launch Pad is intended to help you quickly off the ground with HIFI data reduction

  • A series of useful scripts can be found following the HIPE menu Scripts -> HIFI Useful Scripts

  • If you are working in HIPE, the HIFI Data Reduction Guide will be your prime resource for all things HIFI but you should also look at the Herschel Data Analysis Guide for information about general tools, such as those for viewing and manipulating spectra and spectral cubes, and for obtaining data from the archive.

  • The full set of online documentation for the current user release also contains detailed information about the HIFI pipeline, information about scripting in HIPE, and reference manuals for command listings. New users of HIPE are recommended to read through the Quick Start Guide and the HIPE Owner's Guide

  • The full set of Herschel documentation for the developer track is also available. This documentation contains revisions and updates to the documentation associated with the current User Release but you should also be aware that it may describe functionality not available in the current User Release

Typical Data Reduction Workflow

  • Inspect data quality. Both point spectra and spectral cubes can be viewed in the SpectrumExplorer. In addition to inspecting the quality of your Level 2 data, you should always check the Level 1 data for any bad scans. If data at Level 2 appears strange then looking at Level 1 data may provide insight to the problem, see the Data Primer chapter of the HIFI Data Reduction Guide for more information about levels of data

  • Assess whether data should be re-pipelined.
    • Look at the section above and also at the What's New in the latest User Release to decide if you should re-pipeline.
    • Note that the ICC recommends that data processing should not be allowed to fall more than one version behind the HIPE version being used.
    • Everything you need to re-pipeline data is available in the ObservationContext, and the instructions for using the pipeline, including tips on re-pipelining using new calibration data and customising the pipeline, can be found in the Pipeline chapter of the HIFI Data Reduction Guide

  • Flag data. A user-friendly task has been developed in order to easily flag your data: flagTool. It can be used both as a GUI (similar concept as for the fitBaseline task) or in command line

  • Remove standing waves. Standing waves are a common problem in HIFI data, particularly in bands 3, 4, 6, and 7. The HIFI Data Reduction Guide provides some information about typical standing waves in HIFI data and describes how to remove them in HIPE using fitHifiFringe and the modified band pass technique

  • Correct baseline drift. Baselines can be flattened by subtracted, or division in the case of real continuum. This can be done in HIPE with the fitBaseline task

  • Fold frequency switch data. Frequency switch data is not folded in the pipeline and can be done with the doFold task.

  • Average together H and V polarisation.
    • The noise estimates given by HSpot assume that the H and V polarisations are averaged together. This can be done in HIPE with the PolarPair task, which resamples the spectra to the same frequency scale (they are frequency calibrated with different comb measurements) and then averages them. Alternatively, you can use the Accumulate task, which allows you to specify the resampling width if you desire.
    • Note that differences may be seen in H and V profiles, see the note on H and V positions. If you are particularly interested in the spatial structure of your source you may prefer not to average the H and V polarisations together.
    • You can also average maps taken with the H and V polarisations:

  • Fit lines. The SpectrumFitterGUI, which is also a part of the Spectral Toolbox, can be used to fit line profiles.

  • You may wish to export data as FITS, ASCII or read the data in GILDAS/CLASS.
    • Saving as FITS
    • Saving as ASCII
    • Products readable in GILDAS/CLASS: for products processed with HIPE 12 or later, you can directly read the HCSS-generated FITS files into CLASS (more details about the FITS reader can be found in this report). For products processed with an earlier version, you should use the HiClass task to export data as CLASS readable FITS files. Notes: (1) If you import products processed in HIPE 12 or 13 some warnings will be raised about missing meta-data, but the import will proceed. (2) The FITS file from Level 2 and 2.5 observations downloaded from the HSA are gzipped files. It is recommended to test that the FITS are properly un-zipped before reading to CLASS (for example using the utility ‘fv’ (FITS Viewer) among others). (3) HSC cannot guarantee that future CLASS version will be able read the HCSS-generated FITS files.

Dedicated data reduction tips for Spectral Scan data

  • The data needs to be deconvolved to a single sideband solution. This can be done with the doDeconvolution task, which works with an ObservationContext.

  • It is important to clean the data before deconvolving it: this means removing standing waves, correcting baselines, and flagging out any spurs or bad data that the pipeline missed. The calibration tree for HIPE 14 provides optimised mask tables for each spectral scan obsids so it is recommended that your make use of those, typically be reprocessing your data with HIPE 14 and this calibration file (see above).

  • If you are planning to deconvolve your data with CLASS, please contact the Helpdesk, and cc to Claudia Comito (email:ccomito@ph1.uni-koeln.de) if you need further details.

Dedicated data reduction tips for Mapping observations

  • Spectral cubes from all HIFI mapping observations are produced as part of the SPG pipeline (that is, the pipeline run for the HSA) and are now found in the Level 2.5 product. However, baseline and standing wave corrections are not done automatically in the pipeline because of the risk of harming the scientific content of the data. This can now be customised in the Level 2.5 step and be done prior to the cube creation.

  • It is strongly recommended that you inspect your Level 2 HTPs for baseline drift and residual standing waves, and decide if some, or all, datasets need to be cleaned up before re-running the gridding task.

  • Regridding in HIPE > 9 will automatically use the comoving frame for SSOs. Considering the section above, mapping observations of SSOs will benefit from reprocessing in HIPE > 11.1.

  • You can then grid your cleaned data into a spectral cube using the doGridding task, you can also use this task to customise the cube creation to best suit your science goals.

Dedicated data reduction tips for Strong continuum observations

  • Strong continuum sources
    • An optional step in the pipeline can be used to remove standing waves arising in the loads, this is particularly effective for strong continuum sources. A report describing the technique can be found here. Instructions for using this modified passband technique are available in the Standing Wave Removal chapter of the HIFI Data Reduction Guide:

HIFI performance and calibration


Calibration error budget

Line Intensity Calibration Accuracy

The following table provides the percentage flux error associated with each component of the error budget. These numbers are updates from the Roelfsema et al. 2012 paper and reflect what was implemented in the calibration files of HIPE 14. The detailed frequency dependence of this uncertainty budget is shown in this plot.

Error source Bands 1/2 Bands 3/4 Band 5 Bands 6/7
Sideband ratio* 1.5-4 1.3-3 3 5-6
Hot load coupling 0.1-0.8 0.2-0.4 1-1.7 2-2.3
Cold load coupling 0.1-0.2 0.1-0.3 1.7 1.5
Hot load temperature 0.6 0.6-0.7 0.7 0.7-0.8
Cold load temperature 0.1 0.1 <0.1 <0.1
Opt. standing waves: loads 1.1-1.7 0.7-1.2 0.7-1.1 0.7-0.8
Opt. standing waves: diplexer N/A 0.4-0.9 N/A 4.2-4.9
Planetary model error 5 5 5 5
Beam/aperture efficiency 1.1-1.4 1.2-1.3 1-1.1 1.2-1.3
Flux loss due to pointing** 2-4 3-7 3-4 8-18
*Note that the "sideband gain ratio" convention used in the HIFI pipeline does not correspond to the ratio between the respective sideband gains (equal to 1 for a balanced system), but to the gain in one sideband normalised by the combined gain of the two sidebands. Consequently, perfectly-balanced sidebands will feature a sideband ratio of 0.5 (see also Kester et al. 2016, and the Intensity Calibration Framework document).

**For a point source (worst case scenario) - this flux loss estimates takes into account an APE of 1.2", a residual SIAM bias of order 1.5" and the fact that the H/V respective apertures are slightly offset from the middle synthetic aperture used to point the telescope (offset ranging between 3" in band 1 and 0.5" in band 7). See also section 5.6 of the HIFI handbook.

Frequency Calibration Accuracy

Spectrometer Resolution Bandwidth (kHz) Accuracy (kHz)
HRS (high-res. mode, Hann appodisation) 207 - 364 20
WBS 1100 100
Dominant Contributions:
  • HRS accuracy: Master Oscillator accuracy (1 part in 10^8)
  • HRS resolution: LO signal frequency profile, as determined by the LO Source Unit mixers; band-dependent
  • WBS accuracy: COMB algorithm and interpolation interval
  • WBS resolution: optical alignment & thermal expansion effects within spectrometer

HIFI beams

HIFI beam coupling efficiencies

A revision of the HIFI beam analysis has been performed, based on a multi-epoch set of measurements on Mars. As a result, a more accurate description of the HIFI beams has been obtained, leading to some change in the beam coupling efficiencies, typically a drop. The details of the analysis and the revised coupling efficiencies are given in this release note. For the record, the first release of the HIFI beam efficiencies was described in this document (17 Nov 2010). Please note that these updates will only be featured in the HIFI calibration tree from HIPE 13 onwards.

HIFI beam maps and Encircled Energy Fraction

In addition to this, a detailed description of the HIFI beam models is provided as 2-D beam maps, 1-D azimuthal beam averages, and Encircled Energy Fractions (EEF). Each are provided at two frequencies per mixer band and polarisation, and can be extrapolated (within the LO frequencies of a given band) as a function of wavelength. The release notes provides further details about the delivered files and how to use them. In particular, some useful functions are provided in this Jython script.

The beam material is concatenated as a single FITS file per mixer, frequency, and polarisation. Each file has three extensions tables: one for the 2-D beam model maps (2705x2705 pixels), one for the EEF, and one for the 1-D azimuthal beam averages. Note that 2-D beam model of smaller size (201x201 pixels) will also be made available in the calibration tree (not before HIPE 13), and used in the generation of Level 2.5 cubes by the pipeline. The following page provides links to each individual file (27 Mb each). Plots of the 1-D azimuthal beam averages, and EEF for each band can be found in the Appendix B of the release note.

Access to the calibration tree:

  • Information about what calibration is found in the HIFI ObservationContext is found in the Data Primer of the HIFI Data Reduction Guide.

  • Information about how to find what calibration version was used on your data, how to get the latest calibration, and reprocess observations with it is found in the Pipeline chapter of the HIFI Data reduction Guide.

  • The latest calibration tree pool can also be retrieved directly here (26 September 2016).

  • Updates to the HIFI calibration data are generally concurrent with the release of each major version of the HCSS-HIFI software. However, it is possible to have updates to the calibration data in between major releases of the software as the software and data are independent of each other, in the table below the HIPE or the OD from which the calibration updates apply are given. The calibration versions available since HIPE 5 are listed in the table below:

Calibration version number Release date OD HIPE version Changes
IA_CAL_USER_ or HIFI_CAL_ dd-mm-yy      
2_0 29-11-10   5.0 Beam efficiency parameters introduced, updates to spur table
3_0 11-01-11   5.1 Beam efficiency parameters updated
4_0 18-02-11 645   Spur table update
5_0 13-04-11   6.1 Smoothing widths of OFF positions updated
6_0 21-06-11 779   Sideband ratios in band 2a, addition of strong spur at 1108 GHz in band 5a to spur table
7_0 12-12-11   8.0 Prevention of unnecessary Quality Flags by correction and addition of units in calibration products and correction of thresholds, addition of Quality Flags when LO multiplier currents are out of limits, improved saturated pixel flagging, addition to spur table, uplink product
8_0 03-02-12 995 8.1 Update of a priori table of IF saturations, used in order to flag bad LO data to be discarded in the deconvolution
9_0 24-07-12   9.0 Sideband ratios in bands 5a and 5b, update of a number of engineering threshold for more accurate quality flagging related to hardware housekeeping, introduction of a list of a priori known corrupted data-frames for dedicated flagging in Level 0 data
10_0 08-11-12   9.1 Introduction of a new HifiUplink product to back-fill most the observational parameters as of HSpot optimisation back into the Uplink product, update of the list of corrupted data-frames for flagging at Level 0, update of a number of engineering threshold for more accurate quality flagging related to hardware housekeeping
11_0 22-01-13   10.0 Update of the list of corrupted data-frames for flagging at Level 0, Quality flags created for SEUs (Singe Event Upsets leading to on-board software corruption)
12_0 10-05-13   10.1 Update of the list of corrupted data-frames for flagging at Level 0, updates to quality flag meta-data and uplink information for mapping modes
13_0 30-05-13   11.0 Update of the list of corrupted data-frames for flagging at Level 0, updates to spur table to account for band 3B purification
14_0 04-07-13   11.0 Update of the list of corrupted data-frames for flagging at Level 0
15_0 18-03-14   12.0 Update of the list of corrupted data-frames for flagging at Level 0, ingestion of the Electrical Standing Wave correction reference table
18_0 02-07-14   12.1 Update of the list of corrupted data-frames for flagging at Level 0, Absolute Pointing Error (APE) added to allow a quality flag to be raised in future releases in case of large pointing offsets, updates to allow IF-dependent corrections to sideband ratio, update to spur tables to store entry of spurs found by the ICC or a Key Programme, addition of an instrument uncertainty table (currently only placeholder)
22_0 09-04-15   13.0 Update of the beam parameters (coupling efficiencies, HPBW, 2-D beam maps - see also the beam section above), addition of a new table of expected spectral spurs to be masked by the pipeline in Spectral Scans, addition of a database of Electrical Standing Wave correction solution for observations in bands 6 and 7, addition of a new Uncertainty table that will be propagated into an error budget in HIPE 14 (currently only placeholder), introduction of IF-dependent sideband gain ratio (currently only true for the lower end of band 2a), update of the list of corrupted data-frames for flagging at Level 0
24_0 10-12-15   14.0 Major update of all sideband ratio tables. Introduction of uncertainty budget tables. Introduction of spur warning tables for all point and mapping observations. Update of some Electrical Standing Wave correction solutions. Added some spur flag tables for a handful of spectral scans, as well as some remaining corrupted data-frame entries for flagging at level 0. Updated smoothing width for load chop processing in band 6a, allowing to mitigate the affect of strong artefacts present at tunings between 1457 and 1459 GHz.
25_0 01-04-15   14.1 Minor update to table of BBIDs in order to allow processing of a handful of calibration observations.
26_0 26-09-16   14.2 Minor update to table of spur masks for obsids 1342192673 and 1342218631

Outstanding calibration issues

  • Standing waves:
    • there are several standing waves that can affect the HIFI data at various processing levels. Their nature and impact on the HIFI calibration are described in the Standing Wave technical note and, more briefly, in the Standing Wave removal chapter of the HIFI Data Reduction Guide
    • There are various techniques currently offered to clean these baseline distortions:
      • Remove sine waves, or combinations of sine waves. Check the bullet about usage of the fitHifiFringe task in the data reduction section above.
      • Electrical Standing Wave (aka Matching technique): to correct for the IF standing wave present in bands 6 and 7
        • A new task hebCorrection has been implemented in HIPE 12.0 and is being used by default by the pipeline in HIPE 13 (see also the Reducing HIFI data section above). We warn that the task does not guarantee an accurate correction in all circumstances .
        • The task is described in the following document. The mathematical background can be found in this proceeding. Unlike the script made available in previous version of HIPE, this task is applicable to any HIFI observing mode.
        • The task needs to work from Level 1 data, then reprocess the corrected data up to Level 2.5. Two example codes are provided here:
        • A thorough description of the technique, and the underlying causes, is in Ronan Higgins' thesis: Advanced optical calibration of the Herschel HIFI heterodyne spectrometer
      • in case of strong source continuum some standing waves can be enhanced, as described in the Alternative Calibration Scheme report. Such standing waves can be significantly reduced in amplitude using an alternative pipeline algorithm known as the Modified Passband Technique , which is described in the Standing Wave Removal chapter of the HIFI Data Reduction Guide. Alternatively, you can run the Level1PipelineAlgo_hc_filtered_v1.py script.

  • Baseline removal: imperfect ON-OFF calibration scheme can result in residual baseline distortion (not necessarily standing waves). Check the bullet about usage of the fitBaseline task in the data reduction section above.

  • Spectral purity: in a small number of cases, there are places over the HIFI frequency range where the Local Oscillator does not offer a single frequency tone, so that spurious spectral line may end up in the data, and the calibration of the targeted line gets affected. Details are given in Section 5.3.2 of the HIFI handbook.

  • Spurs: Spectral Spurs are narrow and broad spectral features due to instabilities in the Local Oscillator. Up to HIPE 12, spurs have been assigned by the pipeline in an automatic fashion. In HIPE 13, this is no longer the case and the masks are assigned based on a priori tables provided by the ICC in the calibration tree. As of now, all spectral scans benefit from such tables, but only a handful of single point and spectral mapping observations. This limitation has little impact on the top level data though since no pipeline module makes use of these masks in those modes. A list of the spurs registered in all spectral scans has been incorporated into the HIFI calibration tree, and is used to automatically flag data accordingly in the pipeline.

Interest Groups and Scripts

  • The following interest groups relate to processing of observations taken with HIFI. The links provided allow subscription to these interest groups.
    • subscribe to PACS, SPIRE and HIFI spectral maps interest group
    • subscribe to HIFI point source and spectral scan interest group
  • User scripts: Users are welcome to submit scripts they believe could be of general interest to the community to the Herschel Helpdesk.

Further Information

-- DavidTeyssier , CarolynMcCoey, SylvieFBeaulieu and RengelMiriam - 09 January 2017 -
Topic attachments
I Attachment History Action Size Date Who Comment
PNGpng 1342180554_band4b.png r1 manage 54.9 K 2015-04-07 - 21:23 DavidTeyssier  
Texttxt 16293_SIS.txt r1 manage 171.7 K 2014-10-09 - 14:50 SylvieFBeaulieu CASSIS lineList for the idenfifyLines task (HDRG, chapter 'The HIFI line identification tool')
PDFpdf Alternative_Calibration_Schemes_v1.0.pdf r1 manage 2815.8 K 2011-12-14 - 08:57 DavidTeyssier  
PDFpdf ESWCorrection.pdf r1 manage 640.3 K 2015-01-21 - 12:49 DavidTeyssier  
PDFpdf HIFISubbands.pdf r1 manage 8.5 K 2014-07-23 - 18:52 CarolynMcCoey  
PDFpdf HIFI_Calibration_ReleaseNotes.pdf r1 manage 174.5 K 2013-01-31 - 12:56 DavidTeyssier  
PDFpdf HIFI_PointingAccuracyNote.pdf r2 r1 manage 373.2 K 2015-04-10 - 08:14 RengelMiriam  
PDFpdf HIFI_SBR_Cookbook_V1.0.pdf r1 manage 1440.2 K 2013-06-27 - 13:16 SylvieFBeaulieu HIFI_SBR_Cookbook_V1.0
PNGpng HIFI_SBR_Summary_V9.0.png r1 manage 86.0 K 2012-08-23 - 11:18 DavidTeyssier  
PNGpng HIFI_SBR_summary_HIPE14.0.png r2 r1 manage 107.8 K 2015-12-10 - 15:40 DavidTeyssier  
PNGpng HIFI_Uncertainty_HIPE14.0.png r1 manage 126.1 K 2015-12-09 - 21:20 DavidTeyssier  
PDFpdf HifiBeamReleaseNote_Sep2014.pdf r2 r1 manage 1513.2 K 2014-10-01 - 12:10 DavidTeyssier  
PDFpdf HifiObservingModesPerformance_110926a.pdf r1 manage 4324.4 K 2011-09-30 - 13:26 JeanMatagne  
Texttxt Level1PipelineAlgo_hc_filtered_v1.py.txt r1 manage 10.6 K 2011-06-09 - 09:08 DavidTeyssier  
Unknown file formatfits Orion_S_baselined_485_490.fits r1 manage 168.8 K 2014-10-09 - 14:51 SylvieFBeaulieu Spectrum1d (fits) for the idenfifyLines task (HDRG, chapter 'The HIFI line identification tool')
PDFpdf Ossenkopf_2008_AllanVariance.pdf r1 manage 1500.3 K 2011-10-04 - 09:27 DavidTeyssier  
PDFpdf Sherry_et_al_AAS217_poster.pdf r1 manage 101.6 K 2011-06-26 - 16:00 DavidTeyssier  
PDFpdf aa14698-10.pdf r1 manage 767.0 K 2011-01-21 - 09:38 AnthonyMarston de Graauw et al 2010 -- HIFI instrument paper
PDFpdf aa15120-10.pdf r1 manage 377.9 K 2011-12-01 - 17:21 DavidTeyssier  
PDFpdf calibframework.pdf r1 manage 303.5 K 2011-06-08 - 08:18 DavidTeyssier  
PDFPDF calibration_hifi_stdw_2011_v0_1.PDF r1 manage 2897.1 K 2013-01-10 - 10:58 DavidTeyssier  
PDFpdf calibration_hifi_stdw_2011_v0_1.pdf r1 manage 4022.0 K 2011-08-10 - 20:47 CarolynMcCoey  
PDFpdf class-herschel-fits.pdf r1 manage 419.4 K 2015-12-09 - 22:25 DavidTeyssier  
PDFpdf freq_framework.pdf r1 manage 181.3 K 2011-06-08 - 08:18 DavidTeyssier  
PDFpdf freq_vel_1.1.pdf r1 manage 255.4 K 2011-06-26 - 17:55 DavidTeyssier  
PDFPDF freq_vel_3.PDF r1 manage 305.2 K 2011-06-08 - 08:19 DavidTeyssier  
Texttxt getHifiBeam.py.txt r2 r1 manage 5.1 K 2014-12-01 - 15:06 DavidTeyssier  
Unknown file formatfits hebCorrectionModels_HICAL15.fits r1 manage 241.9 K 2014-03-18 - 12:57 DavidTeyssier  
Texttxt hebCorrection_calTree_example.py.txt r1 manage 2.4 K 2014-03-18 - 12:57 DavidTeyssier  
Texttxt hebCorrection_externalModels_example.py.txt r1 manage 2.4 K 2014-03-18 - 12:57 DavidTeyssier  
Texttxt line_identification_guide.py.txt r1 manage 12.0 K 2014-10-09 - 14:52 SylvieFBeaulieu Script for the idenfifyLines task (HDRG, chapter 'The HIFI line identification tool')
Texttxt linelist.txt r1 manage 798.8 K 2016-11-10 - 15:03 DavidTeyssier  
Texttxt smallerLinelist.txt r1 manage 77.3 K 2016-11-10 - 15:03 DavidTeyssier  
PDFpdf spatial_response_framework.pdf r1 manage 581.8 K 2011-06-08 - 08:18 DavidTeyssier  
PDFpdf spatial_response_framework_v1.9.pdf r1 manage 589.0 K 2014-02-10 - 09:11 DavidTeyssier  
PDFpdf thesis_ronan_higgins_nuim.pdf r1 manage 18922.3 K 2011-06-26 - 16:10 DavidTeyssier  
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Topic revision: r108 - 2017-01-10 - DavidTeyssier
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