What is the WIMP filter?

The WIMP data set is based on the L1 filtering at DESY Zeuthen.

The output from this combined filtering contains all different filter streams. The stream called WIMP stream is the one taylored for Earth WIMP searches. When proceeding with the work on analysis, this stream is selected. In order to make some of the work useful also for Solar WIMP searches I included also the usual upgoing events (on request from Carlos).

In addition to these selections I make the cleaning and reconstructions that are usually applied at L2, closely following the Zeuthen L2 steering, but without additional cuts. The idea is that the user can make further cuts in connection with adding more reconstructions or making ntuples of the files. (For example: I make a strong angular cut on the likelihood reconstruction and then pipe the files to munt.)

For reference the steering files, calibration files and scripts are provided here.

2001 2002 2003
Processing script worklocal2001 worklocal2002 worklocal2003
Sieglinde steering L2 SLsteering_2001 SLsteering_2002 SLsteering_2003
Cross talk x-talk x-talk x-talk
Calibration amacalib 01 amacalib 02 amacalib 03
TOT totcuts_2001 totcuts_2002 totcuts_2003
Bad OMs badoms_2001 badoms_2002 badoms_2003

To state explicitly what is selected in the steering file: the data files I have prepared contain events fulfilling at least one of the following two criteria:

So this is some preprocessing to prepare a generally useful data set for people working with WIMP analyses. By the help of Carlos all of the data from 2001, 2002, and 2003 is processed to this level. It is located at /afs/ifh.de/group/amanda/data_wimp and available for people with accounts at DESY. A copy of the 20% sample from 2002 is stored at the Madison computer cluster after request, located in /data/exp/AMANDA/wimp-filtered/.

Features of this data set

List of reconstructions

The reconstructions included in the filter are

  1. Direct Walk
  2. Direct WIMP
  3. Cascade first guess
  4. Likelihood fit
  5. Single photo electron cascade fit
  6. Multi photo electron cascade fit
  7. JAMS
  8. Iterative likelihood fit with 32 iterations
  9. Bayesian likelihood fit
  10. Single photo electron cascade fit

Anna Davour, April 2006
anna.davour [at] tsl.uu.se
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