1 / 39

The Dead time correction for the light curve with millisecond time bin

The Dead time correction for the light curve with millisecond time bin. Liang, Jau-shian Institute of Physics, NTHU 2006/12/5. Reference. K. Jahoda, J. H. Swank, et al., 1996 Proc. SPIE 2808, p. 59 K. Jahoda, M. J. Stark, et al., 1999, Nucl. Phys. B (Proc. Suppl.), 69, 210

zizi
Télécharger la présentation

The Dead time correction for the light curve with millisecond time bin

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. The Dead time correction for the light curve with millisecond time bin Liang, Jau-shian Institute of Physics, NTHU 2006/12/5

  2. Reference • K. Jahoda, J. H. Swank, et al., 1996 Proc. SPIE 2808, p. 59 • K. Jahoda, M. J. Stark, et al., 1999, Nucl. Phys. B (Proc. Suppl.), 69, 210 • Dennis Wei, 2006. Senior Thesis submitted to the MIT Dept. of Physics • K. Jahoda, C. B. Markwardt, et al., 2006, ApJS, 163, 401

  3. Outline • Introduction • Recovery method • Discussion • Summary

  4. Proportional counter A proportional counter is a measurement device to count particles and photons of ionizing radiation and measure their energy.

  5. Cross section view of one PCA detector collimators propane layer xenon layer 1 xenon layer 2 xenon layer 3 xenon veto layer

  6. The propane layer is principally intended to act as a veto layer to reduce the background rate but could be used as a lower energy detector.

  7. X-ray q Good event 5LLD event The “good” events that trigger only a single xenon chain. Coincident events are likely particle events and thus are not included among the good events.

  8. If the source is very bright, there is a non-negligible probability that two photons will arrive within the anti-coincidence window of each other, causing the PCA to mistakenly disqualify both photons.

  9. (5 pcu) Good and Coincidence rates observed from a burst of J1744-28.

  10. Remaining rate vs Good rate for a burst from J1744-28

  11. Dead time ~ 9 ms The distribution of time intervals between adjacent events

  12. 14 incident photons L1 R1 L1 + R1 L1R1 L1 + R1 6 good event L1R1

  13. Dead time correction

  14. Dead time model (K. Jahoda, et. al. 1999) Predicting the coincidence rate the incident rate on each signal chain Rj where the index j runs from 1 to 7 and corresponds to L1, R1, L2, R2, L3, R3, and VP.

  15. 1 Coincidence timing window

  16. Recovery method • There is not enough information to do dead time correction with millisecond time resolution. • The missed coincidence photons should be added in. • An available way is to construct a recovery method which needs only good rate.

  17. VP=2aXe L1=Xe R1=Xe assumptions • The 7 anodes are simplified into 3 anodes (VP, L1 and R1). • The background of VP, L1 and R1 can be neglected. • The VP rate is proportional to the incident xenon rate.

  18. 0 photon : 1 photon : 2 photons : : • The Poisson probability distribution should be considered.

  19. The probability of that the photon does not exist should also be considered.

  20. The prediction of the coincidence rate • The parameters provided by K. Jahoda et al. are pressumed correct.

  21. 5ms 9ms 4ms • The dead time window is accounted for 4ms. The first event of a coincident set will appear to be a good event (or a propane event) and will trigger the ADC before being labelled “bad” upon the arrival of the second event of the coincident set. The ADC is nonetheless busy for a time (~9ms) following the first event of the coincident set. (D. Wei, 2006)

  22. Good Remaining L1&R1 Output rates vs. incident rates

  23. Xin Estimate and subtract VP, 2LLD, 0LLD Caculate dead time Yes X’out = Xout ? Output Xin No Adjust Xin

  24. Good Remaining(data) Remaining(prediction) Prediction rates compare with slew data VP(data) VP(prediction)

  25. Remaining(data) Remaining(prediction) Prediction rates compare with data VP(data) VP(prediction)

  26. Some results Corrected light curve Light curve

  27. Corrected light curve Light curve

  28. Discussion • the advantages and weaknesses • Are the dips possibly caused by bursts? • particle bursts within milliseconds?

  29. the advantages and weaknesses • The prediction rates agree with the data well. • The light curve can be corrected with only the observed good rate even blow the time scale 1/8s. the advantages

  30. the weaknesses • Particle background is still unknown. • The fluctuation is enlarged. • Incident propane rate to incident xenon rate ratio is not constant. • The parameters may be depend on the spectrum.

  31. Are the dips possibly caused by bursts? • It can be expected that the busts will cause the L1R1 coincidence rates increasing dramatically. • The hypothesis should be rejected, since the L1R1 coincidence rates increasing are not be observed.

  32. particle bursts within milliseconds? • If the particles come in densely, that will also make the detector blind. Good counts particles

  33. T. A. Jones inferred that these energetic events may be the consequence of particle showers produced in the RXTE spacecraft by cosmic rays.

  34. There are some indications that the events may caused by high energy particles.

  35. Summary • The light curve can be corrected with only the observed good rate even blow the time scale 1/8s. • The burst hypothesis has been rejected, since the L1R1 coincidence rates increasing are not be observed. • The millisecond dips may caused by high energy particles.

More Related