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Astronomical Data Analysis Software and Systems V
ASP Conference Series, Vol. 101, 1996
George H. Jacoby and Jeannette Barnes, eds.

Superfast Photometry with MANIA Complex

V. F. Shvartsman, I. N. Bernstein, G. M. Beskin, V. N. Komarova, S. I. Neizvestny, V. L. Plokhotnichenko, M. Yu. Popova, A. V. Zhuravkov

Special Astrophysical Observatory, Nizhniy Arkhyz, Karachai-Circassia, 357147, Russia, E-mail: beskin@sao.stavropol.su

Abstract:

We present a hard/software MANIA complex for carrying out superfast photometry. A new type of ``time-code'' converter ``Quantochron'' allows us to measure arrival times of photons registered by a photodetector with time resolutions up to 20 nsec in channels (space, colors, polarization, etc.) simultaneously. Special software was developed to investigate variability on a time scale of sec by statistical analysis of the time interval distribution between detected photons and ``classical'' light curves. The results of some observations are presented.

1. Introduction

Research of fast optical variability of relativistic and variable objects has being carried out at the Special Astrophysical Observatory of the Russian Academy of Science since 1972 in frames of the MANIA (Multichannel Analysis of Nanosecond Intensity Alterations) experiment. Its goal is to study the energy transformation in strong gravitational and/or magnetic fields which is manifested by very fast optical variability on time scales from up to sec (Shvartsman 1977). Special hard- and software is used to investigate nonstationary processes on flare stars, pulsars, X-ray binaries, etc.

2. The Complex Description

To study such a fast variability a special photometrical hard/software complex was created which consists of:

The main characteristics of the ``Quantochron'' are: At the present moment a photometer (1-, 2-, 4-channels) is used as a detector. Its dead time is sec and, therefore, the dead time of ``MANIA'' complex is sec as well. Testing and installation of a coordinate-sensitive detector are being carried out now. Moreover, any device which can provide a registration of individual photons can be used as a detector as well.

3. Data Analysis Software

3.1.y2-, d2-function Methods

While studying variability on a time scale smaller than the mean interval between photocounts the classical methods for light curve analysis are not effective due to very small fluxes and, therefore, very large data sizes. For these purposes a special, so called -function, method was worked out (Shvartsman 1977).

The -function method is intended for variability analyses on the time scale smaller than the mean interval between photocounts. It is based on statistical analysis of the time intervals between photons. The -function is defined as:

where is the fraction of intervals of duration from to in the flux from the object; is the same for the standard flux.

The -function method is used on times larger that the mean interval between photons and is an analog of the variances method. The -function is defined as:

where and are the sample dispersions of the number of photocounts and in the window of duration of the object and standard flux respectively and is the expectation value of the .

As a standard flux we can use either the flux from a comparison star or the constant Poisson flux with the mean flux equal to the object's one. It can be shown that there is a connection between the variability parameters (amplitude, filling factor, time, etc.), and the forms of the - and -functions allow us to estimate the parameters. In the presence of a variability the -, -functions show an increase on times less than the characteristic time of the variability.

If a variability is absent we can find the upper limits for the relative power of a variable component with 99.9% probability ( level) on timescales from up to sec. The limits are calculated based on the dispersion of the -, -functions of the comparison star. The algorithms of analysis are described in (Plokhotnichenko 1983, 1992).

3.2. The ``Fresnel Lense''-Like Method (FLL) for Period Search

The special FLL method for period search was developed (Plokhotnichenko 1992). In this method we choose a ``test'' period and build a set of consecutive light curves with it. We will sum all these light curves afterwards. But due to the difference between the test and the real periods the light curve details will not coincide in phase and they will be broadened in the summarized light curve. To avoid this we summarize the light curves taking all possible values of phase shift and get a set of final summed light curves. Then by means of statistical methods, we find the light curve with the most significant deviation from the noise (poisson) light curve. The period this curve is folded with is the closest to the true one.

3.3. Period Fine Fitting and Pulsar Investigation Methods

These methods are used in the case of a pulsar period known with sufficient accuracy to build a pulsar light curve with a well-shaped profile. Using data obtained in close moments of time we build a set of light curves. The uncertainties in the period cause the phase shift in each light curve relative to the first one. The value of this shift is calculated by the minimization of the squared difference of each couple. We express this phase shift as a function of time, expanding it into Taylor series. Finally we calculate the values of pulsar frequency with its two first derivatives which are used to build the pulsar light curve with a high time resolution. This light curve is used afterwards in search for fine structure and in investigation of pulsar photometric features.

3.4. LCA package

To study variability in a wide time range by classical methods (light curves, FFT and correlation analysis) a special software system was created---Light Curve Analyses (LCA) system for ``Quantochron'' data analysis. It runs under X Windows on Linux (UNIX) systems using the XView library. It allows working with the data in an interactive mode.

4. Some Results

5. Some Future Plans

Acknowledgments:

This work was partially supported by ESO's Support Programme for Central and East Europe (grant A-02-023), by the Scientific and Educational Center ``Cosmion'', by the Russian Ministry of Science and by the Russian Foundation of Fundamental Research (grant 95-02-0368).

References:

Beskin, G., Mitronova, S., Neizvestny, S., Plokhotnichenko, V., Popova, M., Zhuravkov, A., Benvenuto, O., Feinstein C., & Mendez, M. 1994, A&A, 289, 141

Bartolini, C., Guarnieri, A., Piccioni, A., Beskin, G., & Neizvestny, S. 1994, ApJS, 92, 455

Shvartsman, V. F. 1977, Soobsh. SAO, 19, 5

Shvartsman, V. F., Beskin, G. M., & Plokhotnichenko, V. L. 1988, in The Physics of Neutron Stars, Pulsars and Bursters ( Leningrad, 1988), 178

Shvartsman, V. F., Beskin, G. M., Gershberg, R. E., Plokhotnichenko, V. L., & Pustilnik, L. A. 1988a, SvA Lett., 14, 233

Shvartsman, V. F., Beskin, G. M., & Mitronova, S. N. 1989, SvA Lett., 15, 337

Shvartsman, V. F., Beskin, G. M., Mitronova, S. N. Neizvestny, S. I., & Plokhotnichenko, V. L. 1989a, SvA Lett., 15, 590

Vikul'ev, V. V., Zin'kovskij, V. V., Levitan, B. I., Nazarenko, A. F., & Neizvestny, S. I. 1991, Astrofiz.Issled. (Izv.SAO), 33, 158

Plokhotnichenko, V. L. 1983, Bulletin of the Special Astr. Observ., 38, 29

Plokhotnichenko, V. L. 1992, PhD Thesis

Zhuravkov, A. V., Pimonov, A. A., & Plokhotnichenko, V. V. 1992, Astrofiz.Issled., 37, 132


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Wed Jul 3 08:02:23 MST 1996