145 research outputs found
QED treatment of electron correlation in Li-like ions
A systematic QED treatment of electron correlation is presented for ions along the lithium isoelectronic sequence. We start with the zeroth-order approximation that accounts for a part of the electron-electron interaction by a local model potential introduced into the Dirac equation. The residual electron correlation is treated by perturbation theory. Rigorous QED evaluation is presented for the first two terms of the perturbative expansion; the third-order contribution is calculated within the many-body perturbation theory. We report accurate numerical results for the electronic-structure part of the ionization potential for the n=2 states of all Li-like ions up to uranium
Comparison of operation of physical and simulation model of proportional distributor
In almost all industries, belt conveyors are used, which ensure the continuity of the processes of transporting various types of goods and materials. Their use allows to deliver piece loads and materials that have a bulk / lump structure to the desired objec
Comparison of operation of physical and simulation model of proportional distributor
In almost all industries, belt conveyors are used, which ensure the continuity of the processes of transporting various types of goods and materials. Their use allows to deliver piece loads and materials that have a bulk / lump structure to the desired objec
ΠΠΎΠ²i Π΄ΠΎΡΠ»iΠ΄ΠΆΠ΅Π½Π½Ρ Π² iΡΡΠΎΡΠΈΡΠ½ΠΎΠΌΡ Π°ΡΠ΅Π°Π»i ΠΡΠ΅ΠΌΠ΅Π½ΡΡΠΊΠ°
1) Π½Π°ΡΡΡΠΏΠ½Ρ Π°ΡΡ
Π΅ΠΎΠ»ΠΎΠ³ΡΡΠ½Ρ Π΄ΠΎΡΠ»ΡΠ΄ΠΆΠ΅Π½Π½Ρ Ρ ΡΠ΅Π½Ρ ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΡΠΈ Π½Π° ΡΡΠΉ Π΄ΡΠ»ΡΠ½ΡΡ ΡΠ°ΠΌΠ΅ ΠΏΠΎΡΡΠΊΠΎΠ²ΠΈΠΌΠΈ ΡΡΠ°Π½ΡΠ΅ΡΠΌΠΈ, Π· ΠΌΠ΅ΡΠΎΡ Π²ΠΈΡΠ²Π»Π΅Π½Π½Ρ ΠΎΠ±βΡΠΊΡΡΠ², ΡΠ°ΠΊ ΡΠΊ Π΄ΠΎΡΠ»ΡΠ΄ΠΆΠ΅Π½Π½Ρ ΡΠ°ΠΌΠΎΠ³ΠΎ ΠΊΡΠ»ΡΡΡΡΠ½ΠΎΠ³ΠΎ ΡΠ°ΡΡ Π½Π΅ Π΄Π°Π΄ΡΡΡ ΠΎΠ±Π½Π°Π΄ΡΠΉΠ»ΠΈΠ²ΠΈΡ
ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡΠ²; 2) Π½Π°ΠΊΠ»Π°Π΄Π°Π½Π½Ρ ΠΏΠ»Π°Π½Ρ 1748 Ρ. ΠΡΠ΅ΠΌΠ΅Π½ΡΡΡΡΠΊΠΎΡ ΡΠΎΡΡΠ΅ΡΡ (Π· Π°ΡΠ»Π°ΡΡ Π€. ΠΠ°ΡΠΊΠΎΠ²ΡΡΠΊΠΎΠ³ΠΎ, Π΄Π΅ Π·Π±Π΅ΡΠ΅ΠΆΠ΅Π½ΠΎ ΠΌΠ°ΡΡΡΠ°Π±Π½Ρ Π»ΡΠ½ΡΠΉΠΊΡ [4, Π». 4, ΠΈΠ·ΠΎΠ±Ρ. 8] Π½Π° ΡΡΡΠ°ΡΠ½Ρ ΠΊΠ°ΡΡΡ ΠΌΡΡΡΠ° ΠΏΠΎΠΊΠ°Π·ΡΡ, ΡΠΎ Π΄ΡΠ»ΡΠ½ΠΊΠ° Π½Π°Π³Π»ΡΠ΄ΠΎΠ²ΠΈΡ
ΡΠΎΠ±ΡΡ ΠΏΠΎΠ²Π½ΡΡΡΡ Π·Π½Π°Ρ
ΠΎΠ΄ΠΈΡΡΡΡ Π² ΠΌΠ΅ΠΆΠ°Ρ
ΡΠΊΡΡΠΏΠ»Π΅Π½ΠΎΠ³ΠΎ ΠΏΠΎΡΠ°Π΄Ρ Π₯VΠΠΠ ΡΡ., Π½Π°Π±Π»ΠΈΠΆΠ°ΡΡΠΈΡΡ ΠΌΡΡΡΠ΅ΠΌ ΡΠΎΠ·ΠΌΡΡΠ΅Π½Π½Ρ ΡΡΠ°Π½ΡΠ΅Ρ 1 Π΄ΠΎ ΠΊΠΎΠ½ΡΡΡΡΠ² Π·Π°ΠΌΠΊΡ (ΠΌΠΎΠΆΠ»ΠΈΠ²ΠΎ, ΡΠ°ΠΌΠ΅ ΡΠΎΠΌΡ ΡΡΡ Ρ Π²ΡΠ΄ΡΡΡΠ½Ρ ΠΎΠ±βΡΠΊΡΠΈ ΠΊΠΎΠ·Π°ΡΡΠΊΠΎΡ Π΄ΠΎΠ±ΠΈ); 3) ΠΏΠ΅Π²Π½Ρ ΡΠΌΠΎΠ²ΠΈΡΠ½ΠΎΠ²ΠΊΠΈ ΠΌΠΎΠΆΠ½Π° Π·ΡΠΎΠ±ΠΈΡΠΈ ΠΉ Π½Π° ΠΎΡΠ½ΠΎΠ²Ρ Π²ΠΈΠ²ΡΠ΅Π½Π½Ρ (Ρ
ΠΎΡ Ρ Π½Π΅ Π½Π°Π΄ΡΠΎ ΡΠΈΡΠ»Π΅Π½Π½ΠΎΡ Π·Π° ΠΊΡΠ»ΡΠΊΡΡΡΡ) ΠΊΠ΅ΡΠ°ΠΌΡΠΊΠΈ ΠΊΠΎΠ·Π°ΡΡΠΊΠΎΡ Π΄ΠΎΠ±ΠΈ: ΡΠΏΠΎΡΡΠ΅ΡΡΠ³Π°ΡΡΡΡΡ Π²Π΅Π»ΠΈΠΊΠ° ΠΏΠΈΡΠΎΠΌΠ° ΡΠ°ΡΡΠΊΠ° ΡΠ°ΠΌΠ΅ Π΄ΠΈΠΌΠ»Π΅Π½ΠΎΠ³ΠΎ ΠΏΠΎΡΡΠ΄Ρ, ΡΠΎ, ΡΠΊ Π·Π΄Π°ΡΡΡΡΡ, Π²ΠΆΠ΅ ΠΌΠΎΠΆΠ½Π° Π²Π²Π°ΠΆΠ°ΡΠΈ ΠΏΠ΅Π²Π½ΠΈΠΌ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠ½ΠΈΠΌ ΡΠ΅ΡΠΈΡΠΎΡΡΠ°Π»ΡΠ½ΠΈΠΌ Π»Π°ΠΊΠΌΡΡΠΎΠΌ ΠΌΠ°ΡΠ΅ΡΡΠ°Π»ΡΠ½ΠΎΡ ΠΊΡΠ»ΡΡΡΡΠΈ ΡΠ΅Π³ΡΠΎΠ½Ρ (ΠΌΡΡΡΠ°, ΡΠΎΡΠ½Ρ, Π° ΠΌΠΎΠΆΠ»ΠΈΠ²ΠΎ β ΠΉ ΠΏΠΎΠ»ΠΊΡ); 4) ΡΠ΅ ΠΎΠ΄Π½Π° Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠ½Π° ΠΎΠ·Π½Π°ΠΊΠ° β ΠΏΠ΅ΡΠ΅Π²Π°ΠΆΠ°Π½Π½Ρ Π΄Π΅ΠΊΠΎΡΠ°ΡΠΈΠ²Π½ΠΈΡ
Π·Π°ΡΠΈΠΏΡΠ² ΡΠΈ Π½Π°ΡΡΡΠΎΠΊ ΠΏΠΎ Π·ΡΡΠ·Ρ Π²ΡΠ½ΡΡ, ΠΊΡΠ°ΠΉΠΊΡΠ²Π°Π½Π½Ρ ΠΏΠΎΠ»ΠΈΠ²ΠΎΡ, Ρ Π·ΡΡΠ΄ΠΊΠ° β Π°Π½Π³ΠΎΠ±ΠΎΠ²ΠΈΠΉ ΡΠΎΠ·ΠΏΠΈΡΠ½ΠΈΠΉ Π΄Π΅ΠΊΠΎΡ. Π¦ΡΠΊΠ°Π²ΠΎ, ΡΠΎ ΡΠ°ΠΊΠΈΠΉ Π΄Π΅ΠΊΠΎΡ ΡΠ²Π°ΠΆΠ°Π²ΡΡ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠ½ΠΈΠΌ, Π½Π°ΠΏΡΠΈΠΊΠ»Π°Π΄, Ρ ΠΠΎΠ»ΡΠ°Π²Ρ, Π»ΠΈΡΠ΅ Π΄Π»Ρ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΡΠ² Π΄ΠΎ ΠΏΠΎΡ. Π₯VΠΠΠ ΡΡ. ΠΠΎΠΆΠ»ΠΈΠ²ΠΎ, ΡΡΡ ΠΌΠΈ ΠΌΠ°ΡΠΌΠΎ Β«Π·Π°ΡΡΠΈΠΌΠΊΡΒ» ΡΡΡΡ ΡΡΠ°Π΄ΠΈΡΡΡ, ΡΠΎΠΆ ΠΏΠΈΡΠ°Π½Π½Ρ Π΄Π°ΡΡΠ²Π°Π½Π½Ρ ΡΠ°ΠΊΠΎΡ ΠΊΠ΅ΡΠ°ΠΌΡΠΊΠΈ ΠΌΠ°Ρ ΡΠΎΠ·Π³Π»ΡΠ΄Π°ΡΠΈΡΡ Π·Ρ Π²ΡΠ°Ρ
ΡΠ²Π°Π½Π½ΡΠΌ ΡΠ΅Π³ΡΠΎΠ½Π°Π»ΡΠ½ΠΈΡ
ΠΎΡΠΎΠ±Π»ΠΈΠ²ΠΎΡΡΠ΅ΠΉ
ΠΠ±Π½Π°ΡΡΠΆΠ΅Π½ΠΈΠ΅ ΡΠΈΠ³Π½Π°Π»ΠΎΠ² Π΄Π²ΠΈΠΆΡΡΠΈΡ ΡΡ ΠΎΠ±ΡΠ΅ΠΊΡΠΎΠ² Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΠΌΠ΅ΡΠΎΠ΄Π° Π²ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΠΉ ΡΠ΅Π»Π΅ΠΊΡΠΈΠΈ
To increase the efficiency of detecting moving objects in radiolocation, additional features are used, associated with the characteristics of trajectories. The authors assumed that trajectories are correlated, that allows extrapolation of the coordinate values taking into account their increments over the scanning period. The detection procedure consists of two stages. At the first, detection is carried out by the classical threshold method with a low threshold level, which provides a high probability of detection with high values of the probability of false alarms. At the same time uncertainty in the selection of object trajectory embedded in false trajectories arises. Due to the statistical independence of the coordinates of the false trajectories in comparison with the correlated coordinates of the object, the average duration of the first of them is less than the average duration of the second ones. This difference is used to solve the detection problem at the second stage based on the time-selection method. The obtained results allow estimation of the degree of gain in the probability of detection when using the proposed method.ΠΠ»Ρ ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΡ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ ΠΎΠ±Π½Π°ΡΡΠΆΠ΅Π½ΠΈΡ Π΄Π²ΠΈΠΆΡΡΠΈΡ
ΡΡ ΠΎΠ±ΡΠ΅ΠΊΡΠΎΠ² Π² ΡΠ°Π΄ΠΈΠΎΠ»ΠΎΠΊΠ°ΡΠΈΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡΡΡΡ Π΄ΠΎΠΏΠΎΠ»Π½ΠΈΡΠ΅Π»ΡΠ½ΡΠ΅ ΠΏΡΠΈΠ·Π½Π°ΠΊΠΈ, ΡΠ²ΡΠ·Π°Π½Π½ΡΠ΅ Ρ ΡΡΠ΅ΡΠΎΠΌ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊ ΡΡΠ°Π΅ΠΊΡΠΎΡΠΈΠΉ Π΄Π²ΠΈΠΆΠ΅Π½ΠΈΡ. ΠΠ²ΡΠΎΡΠ°ΠΌΠΈ ΠΏΡΠΈΠ½ΠΈΠΌΠ°Π΅ΡΡΡ ΠΏΡΠ΅Π΄ΠΏΠΎΠ»ΠΎΠΆΠ΅Π½ΠΈΠ΅ ΠΎ ΠΊΠΎΡΡΠ΅Π»ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΡΡΠΈ ΡΡΠ°Π΅ΠΊΡΠΎΡΠΈΠΉ, ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡΡΠ΅Π΅ ΡΠΊΡΡΡΠ°ΠΏΠΎΠ»ΠΈΡΠΎΠ²Π°ΡΡ Π·Π½Π°ΡΠ΅Π½ΠΈΡ ΠΊΠΎΠΎΡΠ΄ΠΈΠ½Π°Ρ Ρ ΡΡΠ΅ΡΠΎΠΌ ΠΈΡ
ΠΏΡΠΈΡΠ°ΡΠ΅Π½ΠΈΠΉ Π·Π° ΠΏΠ΅ΡΠΈΠΎΠ΄ ΡΠΊΠ°Π½ΠΈΡΠΎΠ²Π°Π½ΠΈΡ. ΠΡΠΎΡΠ΅Π΄ΡΡΠ° ΠΎΠ±Π½Π°ΡΡΠΆΠ΅Π½ΠΈΡ ΡΠΎΡΡΠΎΠΈΡ ΠΈΠ· Π΄Π²ΡΡ
ΡΡΠ°ΠΏΠΎΠ². ΠΠ° ΠΏΠ΅ΡΠ²ΠΎΠΌ ΠΎΡΡΡΠ΅ΡΡΠ²Π»ΡΠ΅ΡΡΡ ΠΎΠ±Π½Π°ΡΡΠΆΠ΅Π½ΠΈΠ΅ ΠΊΠ»Π°ΡΡΠΈΡΠ΅ΡΠΊΠΈΠΌ ΠΏΠΎΡΠΎΠ³ΠΎΠ²ΡΠΌ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ Ρ Π½ΠΈΠ·ΠΊΠΈΠΌ ΡΡΠΎΠ²Π½Π΅ΠΌ ΠΏΠΎΡΠΎΠ³Π°, ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠΈΠ²Π°ΡΡΠΈΠΌ Π²ΡΡΠΎΠΊΡΡ Π²Π΅ΡΠΎΡΡΠ½ΠΎΡΡΡ ΠΏΡΠ°Π²ΠΈΠ»ΡΠ½ΠΎΠ³ΠΎ ΠΎΠ±Π½Π°ΡΡΠΆΠ΅Π½ΠΈΡ ΠΏΡΠΈ Π²ΡΡΠΎΠΊΠΈΡ
Π·Π½Π°ΡΠ΅Π½ΠΈΡΡ
Π²Π΅ΡΠΎΡΡΠ½ΠΎΡΡΠΈ Π»ΠΎΠΆΠ½ΡΡ
ΡΡΠ΅Π²ΠΎΠ³. ΠΡΠΈ ΡΡΠΎΠΌ Π²ΠΎΠ·Π½ΠΈΠΊΠ°Π΅Ρ Π½Π΅ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΠΎΡΡΡ Π² Π²ΡΠ΄Π΅Π»Π΅Π½ΠΈΠΈ ΡΡΠ°Π΅ΠΊΡΠΎΡΠΈΠΈ ΠΎΠ±ΡΠ΅ΠΊΡΠ° Π½Π° ΡΠΎΠ½Π΅ Π»ΠΎΠΆΠ½ΡΡ
ΡΡΠ°Π΅ΠΊΡΠΎΡΠΈΠΉ. ΠΠ·-Π·Π° ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ Π½Π΅Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡΠΈ ΠΊΠΎΠΎΡΠ΄ΠΈΠ½Π°Ρ Π»ΠΎΠΆΠ½ΡΡ
ΡΡΠ°Π΅ΠΊΡΠΎΡΠΈΠΉ ΠΏΠΎ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ Ρ ΠΊΠΎΡΡΠ΅Π»ΠΈΡΠΎΠ²Π°Π½Π½ΡΠΌΠΈ ΠΊΠΎΠΎΡΠ΄ΠΈΠ½Π°ΡΠ°ΠΌΠΈ ΠΎΠ±ΡΠ΅ΠΊΡΠ° ΡΡΠ΅Π΄Π½ΡΡ Π΄Π»ΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΡ ΠΏΠ΅ΡΠ²ΡΡ
ΠΈΠ· Π½ΠΈΡ
ΠΌΠ΅Π½ΡΡΠ΅ ΡΡΠ΅Π΄Π½Π΅ΠΉ Π΄Π»ΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ Π²ΡΠΎΡΡΡ
. ΠΡΠΎ ΠΎΡΠ»ΠΈΡΠΈΠ΅ ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΠ΅ΡΡΡ Π΄Π»Ρ ΡΠ΅ΡΠ΅Π½ΠΈΡ Π·Π°Π΄Π°ΡΠΈ ΠΎΠ±Π½Π°ΡΡΠΆΠ΅Π½ΠΈΡ Π½Π° Π²ΡΠΎΡΠΎΠΌ ΡΡΠ°ΠΏΠ΅ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΠΌΠ΅ΡΠΎΠ΄Π° Π²ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΠΉ ΡΠ΅Π»Π΅ΠΊΡΠΈΠΈ. ΠΠΎΠ»ΡΡΠ΅Π½Π½ΡΠ΅ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡΡ ΡΡΠ΄ΠΈΡΡ ΠΎ ΡΡΠ΅ΠΏΠ΅Π½ΠΈ Π²ΡΠΈΠ³ΡΡΡΠ° Π² Π²Π΅ΡΠΎΡΡΠ½ΠΎΡΡΠΈ ΠΎΠ±Π½Π°ΡΡΠΆΠ΅Π½ΠΈΡ ΠΏΡΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠΈ ΠΏΡΠ΅Π΄Π»Π°Π³Π°Π΅ΠΌΠΎΠ³ΠΎ ΠΌΠ΅ΡΠΎΠ΄Π°
ΠΠΎΠ²ΡΡΠ΅Π½ΠΈΠ΅ ΡΠΊΠ²ΠΈΠ²Π°Π»Π΅Π½ΡΠ½ΠΎΠ³ΠΎ ΡΠ½Π΅ΡΠ³ΠΎΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π»Π° ΠΎΠ±Π·ΠΎΡΠ½ΡΡ ΡΠ°Π΄ΠΈΠΎΠ»ΠΎΠΊΠ°ΡΠΈΠΎΠ½Π½ΡΡ ΡΡΠ°Π½ΡΠΈΠΉ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ Β«ΠΎΠ±Π½Π°ΡΡΠΆΠ΅Π½ΠΈΡ Π² ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ΅ ΡΠΎΠΏΡΠΎΠ²ΠΎΠΆΠ΄Π΅Π½ΠΈΡΒ»
The problem of radar detection of small-sized targets using the traditional methods of selection of signals embedded in background noise is considered. It is shown that for a false alarm rate of 10β5, which provides for 1β2 false alarms within the entire coverage of the modern 3D radar, the probability of detection of a small-sized target is getting unacceptably low. Repeatedly decreasing the threshold can provide an acceptable level of the detection probability at ultra-low signal-tonoise ratio (SNR) values. At the same time, decreasing the threshold will result in an unacceptable increase of the false alarm rate. A new target detection procedure using the βtrack before detectβ method (TBD) is proposed. In the TBD procedure, the target is considered detected when two conditions are met: the signal exceeds once a definite threshold; the target is detected within a strictly defined observation area (acquisition or tracking gate). For low SNR values in the range of 3β8 dB and equal false alarm rate, the detection probability increases by 20β50 % compared to the traditional detection method. The simulation results showed a strong dependence of efficacy of the TBD algorithm on the threshold value and the decision rule. The possibility is noted of adaptive control over the threshold due to the use the detection results in the preceding scanning cycles, as well as the introduction of matrix radar surveillance not only by the target coordinates and parameters, but also by the detection threshold, decision rules, etc. Examination of these issues is the subject of further research.Π Π°ΡΡΠΌΠΎΡΡΠ΅Π½Π° ΠΏΡΠΎΠ±Π»Π΅ΠΌΠ° ΡΠ°Π΄ΠΈΠΎΠ»ΠΎΠΊΠ°ΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ ΠΎΠ±Π½Π°ΡΡΠΆΠ΅Π½ΠΈΡ ΠΌΠ°Π»ΠΎΡΠ°Π·ΠΌΠ΅ΡΠ½ΡΡ
ΡΠ΅Π»Π΅ΠΉ ΠΏΡΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠΈ ΡΡΠ°Π΄ΠΈΡΠΈΠΎΠ½Π½ΡΡ
ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² Π²ΡΠ΄Π΅Π»Π΅Π½ΠΈΡ ΡΠΈΠ³Π½Π°Π»ΠΎΠ² Π½Π° ΡΠΎΠ½Π΅ ΠΏΠΎΠΌΠ΅Ρ
. ΠΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΡΠΎ ΠΏΡΠΈ ΡΡΠ»ΠΎΠ²Π½ΠΎΠΉ Π²Π΅ΡΠΎΡΡΠ½ΠΎΡΡΠΈ Π»ΠΎΠΆΠ½ΠΎΠΉ ΡΡΠ΅Π²ΠΎΠ³ΠΈ ΠΏΠΎΡΡΠ΄ΠΊΠ° 10β5, ΠΏΡΠΈ ΠΊΠΎΡΠΎΡΠΎΠΉ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠΈΠ²Π°ΡΡΡΡ 1β2 Π»ΠΎΠΆΠ½ΡΠ΅ ΡΡΠ΅Π²ΠΎΠ³ΠΈ Π²ΠΎ Π²ΡΠ΅ΠΌ ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π΅ Π½Π°Π±Π»ΡΠ΄Π΅Π½ΠΈΡ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΠΉ 3D ΡΠ°Π΄ΠΈΠΎΠ»ΠΎΠΊΠ°ΡΠΈΠΎΠ½Π½ΠΎΠΉ ΡΡΠ°Π½ΡΠΈΠΈ (Π ΠΠ‘), Π²Π΅ΡΠΎΡΡΠ½ΠΎΡΡΡ ΠΏΡΠ°Π²ΠΈΠ»ΡΠ½ΠΎΠ³ΠΎ ΠΎΠ±Π½Π°ΡΡΠΆΠ΅Π½ΠΈΡ ΠΌΠ°Π»ΠΎΡΠ°Π·ΠΌΠ΅ΡΠ½ΠΎΠ³ΠΎ ΠΎΠ±ΡΠ΅ΠΊΡΠ° ΡΡΠ°Π½ΠΎΠ²ΠΈΡΡΡ Π½Π΅Π΄ΠΎΠΏΡΡΡΠΈΠΌΠΎ Π½ΠΈΠ·ΠΊΠΎΠΉ. ΠΡΠΈ ΡΠ²Π΅ΡΡ
ΠΌΠ°Π»ΡΡ
Π·Π½Π°ΡΠ΅Π½ΠΈΡΡ
ΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΡ ΡΠΈΠ³Π½Π°Π»/ΡΡΠΌ (ΠΠ‘Π¨) ΠΌΠ½ΠΎΠ³ΠΎΠΊΡΠ°ΡΠ½ΠΎΠ΅ ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΠ΅ ΠΏΠΎΡΠΎΠ³Π° ΠΎΠ±Π½Π°ΡΡΠΆΠ΅Π½ΠΈΡ ΠΌΠΎΠΆΠ΅Ρ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠΈΡΡ ΠΏΡΠΈΠ΅ΠΌΠ»Π΅ΠΌΡΠΉ ΡΡΠΎΠ²Π΅Π½Ρ ΡΡΠ»ΠΎΠ²Π½ΠΎΠΉ Π²Π΅ΡΠΎΡΡΠ½ΠΎΡΡΠΈ ΠΏΡΠ°Π²ΠΈΠ»ΡΠ½ΠΎΠ³ΠΎ ΠΎΠ±Π½Π°ΡΡΠΆΠ΅Π½ΠΈΡ, Π½ΠΎ ΠΏΡΠΈ ΡΡΠΎΠΌ Π½Π΅Π΄ΠΎΠΏΡΡΡΠΈΠΌΠΎ Π²ΠΎΠ·ΡΠ°ΡΡΠ°Π΅Ρ ΡΡΠ»ΠΎΠ²Π½Π°Ρ Π²Π΅ΡΠΎΡΡΠ½ΠΎΡΡΡ Π»ΠΎΠΆΠ½ΠΎΠΉ ΡΡΠ΅Π²ΠΎΠ³ΠΈ. ΠΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π° Π½ΠΎΠ²Π°Ρ ΠΏΡΠΎΡΠ΅Π΄ΡΡΠ° ΠΎΠ±Π½Π°ΡΡΠΆΠ΅Π½ΠΈΡ ΡΠ΅Π»Π΅ΠΉ Π² ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ΅ ΡΠΎΠΏΡΠΎΠ²ΠΎΠΆΠ΄Π΅Π½ΠΈΡ (ΠΠ Π‘). Π ΠΏΡΠΎΡΠ΅Π΄ΡΡΠ΅ ΠΠ Π‘ ΡΠ΅Π»Ρ ΡΡΠΈΡΠ°Π΅ΡΡΡ ΠΎΠ±Π½Π°ΡΡΠΆΠ΅Π½Π½ΠΎΠΉ ΠΏΡΠΈ ΠΎΠ΄Π½ΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΠΌ ΠΏΡΠ΅Π²ΡΡΠ΅Π½ΠΈΠΈ ΡΠΈΠ³Π½Π°Π»ΠΎΠΌ Π½Π΅ΠΊΠΎΡΠΎΡΠΎΠ³ΠΎ ΠΏΠΎΡΠΎΠ³Π° ΠΈ ΡΠΎΠΌ, ΡΡΠΎ ΡΡΠΎ ΠΏΡΠΎΠΈΡΡ
ΠΎΠ΄ΠΈΡ Π½Π° ΡΡΡΠΎΠ³ΠΎ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΠΎΠΌ ΡΡΠ°ΡΡΠΊΠ΅ ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π° Π½Π°Π±Π»ΡΠ΄Π΅Π½ΠΈΡ (ΡΡΡΠΎΠ±Π΅ Π·Π°Ρ
Π²Π°ΡΠ° (ΡΠΎΠΏΡΠΎΠ²ΠΎΠΆΠ΄Π΅Π½ΠΈΡ)). ΠΡΠΈ ΠΌΠ°Π»ΡΡ
Π·Π½Π°ΡΠ΅Π½ΠΈΡΡ
ΠΠ‘Π¨ Π² Π΄ΠΈΠ°ΠΏΠ°Π·ΠΎΠ½Π΅ 3β8 Π΄Π ΠΈ ΠΎΠ΄ΠΈΠ½Π°ΠΊΠΎΠ²ΠΎΠΌ ΡΡΠΎΠ²Π½Π΅ Π»ΠΎΠΆΠ½ΡΡ
ΡΡΠ΅Π²ΠΎΠ³ Π²Π΅ΡΠΎΡΡΠ½ΠΎΡΡΡ ΠΏΡΠ°Π²ΠΈΠ»ΡΠ½ΠΎΠ³ΠΎ ΠΎΠ±Π½Π°ΡΡΠΆΠ΅Π½ΠΈΡ ΡΠ΅Π»ΠΈ ΠΏΠΎ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ Ρ ΡΡΠ°Π΄ΠΈΡΠΈΠΎΠ½Π½ΡΠΌ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ ΠΎΠ±Π½Π°ΡΡΠΆΠ΅Π½ΠΈΡ Π²ΠΎΠ·ΡΠ°ΡΡΠ°Π΅Ρ Π½Π° 20β50 %. Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΈ ΡΠΈΠ»ΡΠ½ΡΡ Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡΡ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ Π°Π»Π³ΠΎΡΠΈΡΠΌΠ° ΠΠ Π‘ ΠΎΡ Π·Π½Π°ΡΠ΅Π½ΠΈΡ ΠΏΠΎΡΠΎΠ³Π° ΠΎΠ±Π½Π°ΡΡΠΆΠ΅Π½ΠΈΡ ΠΈ Π²ΠΈΠ΄Π° ΡΠ΅ΡΠ°ΡΡΠ΅Π³ΠΎ ΠΏΡΠ°Π²ΠΈΠ»Π°. ΠΡΠΌΠ΅ΡΠ΅Π½Π° Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΡ Π°Π΄Π°ΠΏΡΠΈΠ²Π½ΠΎΠ³ΠΎ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΠΏΠΎΡΠΎΠ³ΠΎΠΌ ΠΎΠ±Π½Π°ΡΡΠΆΠ΅Π½ΠΈΡ Π·Π° ΡΡΠ΅Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΎΠ² ΠΎΠ±Π½Π°ΡΡΠΆΠ΅Π½ΠΈΡ Π² ΠΏΡΠ΅Π΄ΡΠ΄ΡΡΠΈΡ
ΡΠΈΠΊΠ»Π°Ρ
ΠΎΠ±Π·ΠΎΡΠ°, Π° ΡΠ°ΠΊΠΆΠ΅ Π²Π½Π΅Π΄ΡΠ΅Π½ΠΈΡ ΠΌΠ°ΡΡΠΈΡΠ½ΠΎΠ³ΠΎ ΠΎΠ±Π·ΠΎΡΠ° Π ΠΠ‘ Π½Π΅ ΡΠΎΠ»ΡΠΊΠΎ ΠΏΠΎ ΠΊΠΎΠΎΡΠ΄ΠΈΠ½Π°ΡΠ°ΠΌ ΠΈ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠ°ΠΌ ΠΎΠ±ΡΠ΅ΠΊΡΠ° ΠΎΠ±Π½Π°ΡΡΠΆΠ΅Π½ΠΈΡ, Π½ΠΎ ΠΈ ΠΏΠΎ ΠΏΠΎΡΠΎΠ³Ρ ΠΎΠ±Π½Π°ΡΡΠΆΠ΅Π½ΠΈΡ, ΡΠ΅ΡΠ°ΡΡΠΈΠΌ ΠΏΡΠ°Π²ΠΈΠ»Π°ΠΌ ΠΈ Ρ. Π΄. Π Π°ΡΡΠΌΠΎΡΡΠ΅Π½ΠΈΠ΅ Π΄Π°Π½Π½ΡΡ
Π²ΠΎΠΏΡΠΎΡΠΎΠ² ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΏΡΠ΅Π΄ΠΌΠ΅ΡΠΎΠΌ Π΄Π°Π»ΡΠ½Π΅ΠΉΡΠΈΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ
ΠΠ΅ΡΠΎΠ΄ ΡΠΈΠ½ΡΠ΅Π·Π° Π΄ΠΈΡΠΊΡΠΈΠΌΠΈΠ½Π°ΡΠΈΠΎΠ½Π½ΡΡ Ρ Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊ ΡΠ³Π»ΠΎΠΌΠ΅ΡΠ½ΡΡ ΡΠΈΡΡΠ΅ΠΌ ΠΌΠ½ΠΎΠ³ΠΎΠ»ΡΡΠ΅Π²ΡΡ ΡΠ°Π΄ΠΈΠΎΠ»ΠΎΠΊΠ°ΡΠΈΠΎΠ½Π½ΡΡ ΡΡΠ°Π½ΡΠΈΠΉ
In radar systems angle information about an object is obtained by discriminator, the basic properties of which are determined by the discriminator curve. Its main parameters are the conversion factor and the width. Currently, these parameters remain unguided during the tracking process. At the same time, when changing modes or conditions of operation, it is desirable to control these parameters, which is possible in multipath radars. In multipath radar the discriminator curve is formed by simultaneous weight summing of the signals at the receiving channels outputs. The objective of the study was to develop a method for finding the values of optimal weight coefficients for obtaining the desired parameters of the discriminator curve with an instantaneous amplitude comparison of signals. As an optimality criterion, we used the condition of minimizing of noiseΒ variance at the discriminator output, taking into account linear constraints on its characteristics parameters. The solution is carried out by method of Lagrange multipliers. Two options of the discriminator curve synthesis are considered: for additive and multiplicative discriminators. Expressions for optimal weight coefficients are obtained in general term. The proposed method allows to find the desired parameters of discriminator curves, in particular, it is possible to form its zero values in angular directions to suppress the influence of external noise.Π ΡΠ°Π΄ΠΈΠΎΠ»ΠΎΠΊΠ°ΡΠΈΠΎΠ½Π½ΡΡ
ΡΡΠ°Π½ΡΠΈΡΡ
(Π ΠΠ‘) ΡΠ³Π»ΠΎΠΌΠ΅ΡΠ½Π°Ρ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΡ ΠΎΠ± ΠΎΠ±ΡΠ΅ΠΊΡΠ΅ ΠΏΠΎΠ»ΡΡΠ°Π΅ΡΡΡ ΠΏΠΎΡΡΠ΅Π΄ΡΡΠ²ΠΎΠΌ Π΄ΠΈΡΠΊΡΠΈΠΌΠΈΠ½Π°ΡΠΎΡΠ°, ΠΎΡΠ½ΠΎΠ²Π½ΡΠ΅ ΡΠ²ΠΎΠΉΡΡΠ²Π° ΠΊΠΎΡΠΎΡΠΎΠ³ΠΎ ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΡΡΡΡ Π΄ΠΈΡΠΊΡΠΈΠΌΠΈΠ½Π°ΡΠΈΠΎΠ½Π½ΠΎΠΉ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠΎΠΉ. ΠΠ΅ Π³Π»Π°Π²Π½ΡΠΌΠΈ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠ°ΠΌΠΈ ΡΡΠΈΡΠ°ΡΡΡΡ ΠΊΠΎΡΡΡΠΈΡΠΈΠ΅Π½Ρ ΠΏΡΠ΅ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΡ ΠΈ ΡΠΈΡΠΈΠ½Π°. Π Π½Π°ΡΡΠΎΡΡΠ΅Π΅ Π²ΡΠ΅ΠΌΡ ΡΡΠΈ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΡ ΠΎΡΡΠ°ΡΡΡΡ Π½Π΅ΡΠΏΡΠ°Π²Π»ΡΠ΅ΠΌΡΠΌΠΈ Π² ΠΏΡΠΎΡΠ΅ΡΡΠ΅ ΡΠΎΠΏΡΠΎΠ²ΠΎΠΆΠ΄Π΅Π½ΠΈΡ. ΠΠΌΠ΅ΡΡΠ΅ Ρ ΡΠ΅ΠΌ ΠΏΡΠΈ ΡΠΌΠ΅Π½Π΅ ΡΠ΅ΠΆΠΈΠΌΠΎΠ² ΠΈΠ»ΠΈ ΡΡΠ»ΠΎΠ²ΠΈΠΉ ΡΠ°Π±ΠΎΡΡ ΠΈΠΌΠΈ ΠΆΠ΅Π»Π°ΡΠ΅Π»ΡΠ½ΠΎ ΡΠΏΡΠ°Π²Π»ΡΡΡ, ΡΡΠΎ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎ Π² ΠΌΠ½ΠΎΠ³ΠΎΠ»ΡΡΠ΅Π²ΡΡ
Π ΠΠ‘, Π³Π΄Π΅ Π΄ΠΈΡΠΊΡΠΈΠΌΠΈΠ½Π°ΡΠΈΠΎΠ½Π½Π°Ρ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠ° ΡΠΎΡΠΌΠΈΡΡΠ΅ΡΡΡ ΠΏΡΡΠ΅ΠΌ ΠΎΠ΄Π½ΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΠ³ΠΎ Π²Π΅ΡΠΎΠ²ΠΎΠ³ΠΎ ΡΡΠΌΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠΈΠ³Π½Π°Π»ΠΎΠ² Π½Π° Π²ΡΡ
ΠΎΠ΄Π°Ρ
ΠΏΡΠΈΠ΅ΠΌΠ½ΡΡ
ΠΊΠ°Π½Π°Π»ΠΎΠ². ΠΠ°Π΄Π°ΡΠ° ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠΎΡΡΠΎΡΠ»Π° Π² ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠ΅ ΠΌΠ΅ΡΠΎΠ΄Π° Π½Π°Ρ
ΠΎΠΆΠ΄Π΅Π½ΠΈΡ Π·Π½Π°ΡΠ΅Π½ΠΈΠΉ ΠΎΠΏΡΠΈΠΌΠ°Π»ΡΠ½ΡΡ
Π²Π΅ΡΠΎΠ²ΡΡ
ΠΊΠΎΡΡΡΠΈΡΠΈΠ΅Π½ΡΠΎΠ² Π΄Π»Ρ ΠΏΠΎΠ»ΡΡΠ΅Π½ΠΈΡ ΠΆΠ΅Π»Π°Π΅ΠΌΡΡ
ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² Π΄ΠΈΡΠΊΡΠΈΠΌΠΈΠ½Π°ΡΠΈΠΎΠ½Π½ΠΎΠΉ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠΈ ΠΏΡΠΈ ΠΌΠ³Π½ΠΎΠ²Π΅Π½Π½ΠΎΠΌ Π°ΠΌΠΏΠ»ΠΈΡΡΠ΄Π½ΠΎΠΌ ΡΡΠ°Π²Π½Π΅Π½ΠΈΠΈ ΡΠΈΠ³Π½Π°Π»ΠΎΠ². Π ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ ΠΊΡΠΈΡΠ΅ΡΠΈΡ ΠΎΠΏΡΠΈΠΌΠ°Π»ΡΠ½ΠΎΡΡΠΈ Π±ΡΠ»ΠΎ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΎ ΡΡΠ»ΠΎΠ²ΠΈΠ΅ ΠΌΠΈΠ½ΠΈΠΌΠΈΠ·Π°ΡΠΈΠΈ Π΄ΠΈΡΠΏΠ΅ΡΡΠΈΠΈ ΡΡΠΌΠΎΠ² Π½Π° Π²ΡΡ
ΠΎΠ΄Π΅ Π΄ΠΈΡΠΊΡΠΈΠΌΠΈΠ½Π°ΡΠΎΡΠ° Ρ ΡΡΠ΅ΡΠΎΠΌ Π»ΠΈΠ½Π΅ΠΉΠ½ΡΡ
ΠΎΠ³ΡΠ°Π½ΠΈΡΠ΅Π½ΠΈΠΉ Π½Π° ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΡ Π΅Π³ΠΎ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠΈ. Π Π΅ΡΠ΅Π½ΠΈΠ΅ ΠΎΡΡΡΠ΅ΡΡΠ²Π»ΡΠ»ΠΎΡΡ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ ΠΌΠ½ΠΎΠΆΠΈΡΠ΅Π»Π΅ΠΉ ΠΠ°Π³ΡΠ°Π½ΠΆΠ°. Π Π°ΡΡΠΌΠΎΡΡΠ΅Π½Ρ Π΄Π²Π° Π²Π°ΡΠΈΠ°Π½ΡΠ° ΡΠΈΠ½ΡΠ΅Π·Π° Π΄ΠΈΡΠΊΡΠΈΠΌΠΈΠ½Π°ΡΠΈΠΎΠ½Π½ΡΡ
Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊ: Π΄Π»Ρ Π°Π΄Π΄ΠΈΡΠΈΠ²Π½ΡΡ
ΠΈ ΠΌΡΠ»ΡΡΠΈΠΏΠ»ΠΈΠΊΠ°ΡΠΈΠ²Π½ΡΡ
Π΄ΠΈΡΠΊΡΠΈΠΌΠΈΠ½Π°ΡΠΎΡΠΎΠ². Π ΠΎΠ±ΡΠ΅ΠΌ Π²ΠΈΠ΄Π΅ ΠΏΠΎΠ»ΡΡΠ΅Π½Ρ Π²ΡΡΠ°ΠΆΠ΅Π½ΠΈΡ Π΄Π»Ρ ΠΎΠΏΡΠΈΠΌΠ°Π»ΡΠ½ΡΡ
Π²Π΅ΡΠΎΠ²ΡΡ
ΠΊΠΎΡΡΡΠΈΡΠΈΠ΅Π½ΡΠΎΠ². ΠΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π½ΡΠΉ ΠΌΠ΅ΡΠΎΠ΄ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ Π½Π°Ρ
ΠΎΠ΄ΠΈΡΡ ΠΆΠ΅Π»Π°Π΅ΠΌΡΠ΅ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΡ Π΄ΠΈΡΠΊΡΠΈΠΌΠΈΠ½Π°ΡΠΈΠΎΠ½Π½ΡΡ
Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊ, Π² ΡΠ°ΡΡΠ½ΠΎΡΡΠΈ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°ΡΡ Π½ΡΠ»Π΅Π²ΡΠ΅ Π·Π½Π°ΡΠ΅Π½ΠΈΡ Π΄ΠΈΡΠΊΡΠΈΠΌΠΈΠ½Π°ΡΠΈΠΎΠ½Π½ΠΎΠΉ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠΈ Π² ΡΠ³Π»ΠΎΠ²ΡΡ
Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡΡ
Π΄Π»Ρ ΠΏΠΎΠ΄Π°Π²Π»Π΅Π½ΠΈΡ Π²Π»ΠΈΡΠ½ΠΈΡ Π²Π½Π΅ΡΠ½ΠΈΡ
ΠΏΠΎΠΌΠ΅Ρ
The age of mineralization of Mayskoe gold ore deposit (Central Chukotka): results of Re-Os isotopic dating
The article presents the results of the sulfide mineralization dating of the Mayskoe gold ore deposit using the Re-Os isotope system and isochron age estimation method of the main sulfide minerals: arsenopyrite, pyrite, and antimonite. The complex multistage formation of the studied sulfides, as well as the close intergrowths of genetically different mineral phases, did not allow obtaining a single rhenium-osmium isochron corresponding to the formation time of sulfide mineralization. Isochrones for single minerals, collected from each sulfide sample, turned out to be the result of isotopically distinct components mixture (radiogenic crustal and non-radiogenic mantle) and do not make sense from the geochronological point of view. In terms of geology, the most significant result of the study is an age estimation of 128.8 Β± 4.4 Ma, obtained for the sulfide mineralization of Mayskoe deposit using Re-Os isotope dating of single fractions of pyrite and antimonite of the ore mineralization stage. While arsenopyrite is most closely associated with gold mineralization, one of the arsenopyrite varieties corrodes framboidal pyrite of the pre-ore stage, has a maximum of the crust component in the osmium isotopic composition and forms a mixing line in the isochron diagram with an apparent formation age of 458 Β± 18 Ma. The initial osmium isotopic composition of the studied sulfides indicates a mixed mantle-crust source of sulfide mineralization. The issue of simultaneous ore genesis and granitoid magmatism in the Mayskoe deposit remained unresolved (the age of granitoids according to the U-Pb zircon system is 108 Ma). However, a possible solution could be the further determination of the Re-Os isochron age of the ore mineralization sulphides from the single paragenesis of a specific sample containing both arsenopyrite and pyrite (+ antimonite) with gold
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