skip to content
 
ASCA Guest Observer Facility

Status of the GIS gain calibration

Last updated on November 19, 2002


  1. Accuracy of the GIS gain determination
  2. Variation of the calibration source peak energies
  3. Method of the gain correction
    1. Short-term variation
    2. Long-term variation
    3. Position dependence
    4. Long-term variation of the position dependence
    5. Extrapolation of the gain parameters
  4. Limit of the radial gain correction
  5. Recalculate PI values using new calibration

Accuracy of the GIS gain determination

Accuracy of the absolute GIS energy scale is being monitored using the instrumental copper fluorescent line at 8.05 keV. The background spectra are accumulated using the dark-earth data for each about 12 months, and the detector region is divided into 10 concentric rings. The line energy is determined for each energy spectrum extracted for each period from each ring.

The line energies for different periods and for each concentric ring are shown in the figure below (postscript file is available).

ASCA line

Range of the ordinate for each diagram is 7.9-8.2 keV, and the horizontal dotted lines indicate +/-1 % of the correct energy (8.048 keV). Abscissa is the radius (in channel) of the concentric rings. In the GIS2 diagrams for the periods 8 to 12, circles are determined with the parabola radial correction, while asterisks are due to the 4-th order polynomial correction (see below for the radial correction). The diagrams from 1 to 12 correspond to the following overlapping periods:

Data #

Data Period

1

1993/04-1993/12

2

1993/07-1994/06

3

1994/01-1994/12

4

1994/07-1995/06

5

1995/01-1995/12

6

1995/07-1996/06

7

1996/01-1996/12

8

1996/07-1997/06

9

1997/01-1997/12

10

1997/07-1998/06

11

1998/01-1998/12

12

1998/07-1999/06

It is seen that the line energy is within +/- 1 % of the correct value for all the periods and rings. Therefore, we conclude that accuracy of the current GIS energy determination is within +/- 1 % at 8.05 keV over the detector, at least until l 1999 June.

Variation of the calibration source peak energies

GIS has the iron 55 calibration sources attached at the detector rims. They produce fluorescent lines at 5.89 keV (K-alpha) and at 6.49 keV (K-beta). The calibration source peak is being monitored by the GIS team at Univ. of Tokyo/ISAS and by the GSFC ASCA Processing team, Systematic energy shift from the correct energy and the secular energy variation indicate the current limit of the GIS gain determination. Note that the calibration sources are used to correct time variations of the gains, but not used to determine the absolute gain, since gain drops rapidly near the detector rim where absolute energy determination is inevitably difficult.

Method of the gain correction

There are four components to take into account in order to determine the GIS gain and correct energies for the GIS events:
  • Short-term gain variation
  • Long-term gain variation
  • Position dependence of the gain
  • Long-term variation of the position dependence

    Short-term variation

    The short-term gain variation is known to be caused by temperature variation of the sensor due to day-night transitions and/or satellite aspect changes. This can be corrected using the temperature housekeeping parameters. For each observation sequence, a GIS gain history file is created by the temp2gain ftool by looking at variation of the temperature housekeeping parameters. The gain history file, which is named like ft970210_0223_1750.ghf, has the gain values for every 600 sec, for which the following long-term variation and positional variation are taken into account. The ascalin ftool uses the gain history file to carry out the PHA to PI conversion.

    Long-term variation

    The following figure indicates the long term variation of the raw pulse-heights of the calibration sources at fixed temperatures (postscript file is available).

    ASCA pulse height

    The long term gain change is regularly monitored by the GIS team, and the temperature-gain conversion coefficients are determined for every one month period. The time-dependent temperature-gain coefficients thus determined are in the 1-st extension of the gis_temp2gain.fits calibration file which is regularly released by the GIS team. This files is used by the temp2gain ftool to determine the instantaneous gain values for a given observation.

    Position dependence

    The position dependence of the gain is corrected using the gain-maps which are in the calibration files gis2_ano_on_flf_180295.fits and gis3_ano_on_flf_180295.fits, which have been determined through the pre-flight ground calibration. The ascalin ftool reads these calibration files, and carry out positional gain correction for each event.

    Long-term variation of the position dependence

    Secular change of the GIS gain map had been discovered. That is expressed with a radial function in the first order approximation as follows:

    corrected PI values = original PI values / ( GMAPC0 + GMAPC1*r + ... + GMAPCn*r**n )

    where r**2 = (DETX - DET_XCEN)**2 + (DETY - DET_YCEN)**2 , and GMAPCn are time-dependent coefficients determined through calibration.

    Coefficients of the polynomial function are determined by the GIS team every six months or so, and released in the gis_temp2gain.fits file (written in the second extension). Both for GIS2 and GIS3, a parabola function (only GMAP0 and GMAPC2) had been adopted until the end of 1998 September. However, it had been found that a fourth order polynomial describes the GIS2 radial gain variation better, and new coefficients (GMAPC0 and GMAP4) have been determined for the period after October 1997 (see the original announcement from the GIS team). The fourth-order correction for GIS2 has been introduced since version 4.3.17 of the gis_temp2gain.fits file, released on November 4, 1999.

    Data taken between October 1997 to September 1998 have been originally processed with the parabola method when delivered to the Guest Observers, but these data in the archives have been reprocessed with the fourth order method (although the difference is insignificant; see the figures above and below).

    The temp2gain ftool determines the instantaneous radial gain correction coefficients for each observation, through either interpolation or extrapolation of the values in the gis_temp2gain.fits file, and these values are written in the gain history files which are used by ascalin to calculate PI values.

    The following figure shows the secular change of the polynomial function coefficients for the gain-map correction (postscript file is available).

    ASCA gain

    Extrapolation of the gain parameters

    As explained above, the temperature-gain coefficients and the gain-map correction coefficients are determined by the GIS team every one month and six months respectively. When observation periods are covered by the periods for which these correction coefficients have been determined, interpolation is used to determine the instantaneous gain values. If these coefficients have not yet been determined, appropriate coefficients have to be calculated through extrapolation.

    It is possible that the extrapolation is made as far as one-month for the temperature coefficients or six-month for the gain-map correction coefficients. It has been confirmed that the extrapolation method gives consistent answer with the interpolation method. In panel 12 of the figure shown at the top, data were accumulated between 1998 July and 1999 June, while the gain-map correction coefficients were determined partly through extrapolation using the data taken between 1997 October and 1999 March; the Cu line energies are in the right place.

    Unless GIS performance starts changing rapidly, we expect the extrapolation method will also be reliable in future. In any case, in order to see if your gain history file is made with extrapolation or interpolation, you may look at the processing information on aux/ad*_hdr_page.html in the data package. Here is an example of /cdrom/46009000/aux/ad46009000_001_hdr_page.html (/cdrom is assumed to be the directory for mounting CD-ROM):

    Observation Information
    
           Object: 1E1024.0-5732 
           Nominal Pointing (degrees) 
                  R.A.=156.645 Dec.=-57.795 
                  Lii=284.579 Bii=-0.18 
           Observation Date: December 27, 1998 
           Duration: 102.3 kiloseconds (with 4 kiloseconds of telemetry gaps) 
           Approximate SIS Exposure: 36.8 kiloseconds (approximately 38% with telemetry saturated) 
           Approximate GIS Exposure: 28 kiloseconds 
    
    Processing Information
    
           Sequence Version: 001 
           Processing Version: 7.3.0 (Revision 2) 
           FTOOLS Version: 4.2 
           Processing Date: March 27, 1999 
           GIS Secular Gain Calibration Date: November 11, 1998 
           GIS Gain Map Calibration Date: April 1, 1998 
           SIS CTI Calibration Date: October 3, 1997 
    
    In this case, it is seen that both the Secular Gain (temperature correction) and Gain Map Calibration Dates are after the observation, so these coefficients are determined by extrapolation.

    These calibration dates correspond to the following CALDB keywords in gis_temp2gain.fits.
    In the first extension (temperature coefficients):

    CVED0001= '11/11/98'           / Dataset validity end date (UTC)
    CVET0001= '0:0:0   '           / Dataset validity end time (UTC, of day CVSD)
    
    In the second extention (gain-map correction coefficients):
    CVED0002= '1/4/98  '           / Dataset validity end date (UTC)
    CVET0002= '0:0:0   '           / Dataset validity end time (UTC, of day CVSD)
    
    Also, they correspond to dates of the last entries in the 1st extension and the 2nd extension respectively.

    Limit of the radial gain correction

    Because the gain drops rapidly near the detector edge, as well as the particle background is prominent there, as a default, ascalin does not assign sky coordinates to the events at r > 88 channel, and these events are filtered out by the standard screening in the pipe-line processing or ascascreen. In the course of the secular change of the detector performance, azimuthal dependence of the GIS3 gain has become noticeable after 1998 July at the outermost region which is usually screened out (r > 23 arcmin or 90 channel). Because of the azimuthal gain fluctuation, which is not corrected in the current gain calibration, the copper line peak azimuthally integrated at the outermost region no longer fits with a single gaussian model (figure below;
    postscript file is available), although discrepancy of the line center energy is at most 0.5 %. GIS team once again suggests Guest Observers not to use the GIS3 data at the outermost region for precise spectral analysis.

    ASCA gain

    Recalculate PI values using new calibration

    As explained above, a new version of the gis_temp2gain.fits calibration file is released once every few months, and your GIS data may not have been processed with the latest one. If you want to recalculate the PI values in your GIS event files using the latest gis_temp2gain.fits file, here is the procedure:
    1. Obtain the latest gis_temp2gain.fits file from ftp://legacy.gsfc.nasa.gov/asca/data/gis_reprocess_2002-June/gis_temp2gain.fits . This is the most recent update.
    2. Create a new gain history file with the temp2gain ftool using the new gis_temp2gain.fits file.
    3. Run ascalin to calculate new PI values using the new gain history file and fill PI column of your files.

    The update_gis_gain.pl script will carry out the step 2 and 3 above automatically (please do not forget to edit the first line of the script to point your local perl installation).


    References

  • Makishima et al. "In-Orbit Performance of the Gas Imaging Spectrometer onboard ASCA" 1996, PASJ, 48, 171
  • Current Status of the GIS Response Function (ASCANews 2).
  • GIS status report (ASCANews 3).
  • Calibration of Temporal and Spatial Variations of the GIS Gain (supposed to have been in ASCANews 5, but not published in the printed version due to technical problems; postscript file is also available)
  • Notice on the Recent GIS Gain Correction (GIS News; November 3, 1999)
  • Correction of the Long Term Gain Variation (GIS News; July 16, 1997)
  • GIS3 gain new correction method (GIS News; July 10,1996)
  • GIS3 gain mis-correction after August 1995 (GIS News; April 12, 1996)
    The present study was mostly conducted by H. Kubo, A. Kubota and M. Tashiro of the GIS team. If you have questions about issues presented in this page, please contact the ASCA GOF: visit the Feedback form.


    If you have any questions concerning ASCA, visit our Feedback form.

    This file was last modified on Wednesday, 07-Apr-2004 11:03:36 EDT

  • NASA Astrophysics

  • FAQ/Comments/Feedback
  • Education Resources
  • Download Adobe Acrobat
  • A service of the Astrophysics Science Division (ASD) at NASA/ GSFC

    ASCA Project Scientist: Dr. Nicholas E. White

    Responsible NASA Official: Phil Newman

    Privacy Policy and Important Notices.