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Detecting Exoplanets via Binary-Source Microlensing Events with Spitzer and WFIST

Bagheri, Fatemeh | 2021

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  1. Type of Document: Ph.D. Dissertation
  2. Language: Farsi
  3. Document No: 54842 (04)
  4. University: Sharif University of Technology
  5. Department: Physics
  6. Advisor(s): Rahvar, Sohrab
  7. Abstract:
  8. We investigate the possibility of exoplanet detection orbiting source stars in microlensing events through the Spitzer and WFIRST follow-up observations.We perform a Monto Carlo simulation on the detection rate of exoplanets via microlensing, assuming that each source star has at least one exoplanet. The exoplanet can reflect part of the light from the parent star or emit internal thermal radiation. In this new detection channel, we use microlensing as an amplifier to magnify the reflection light from the planet.In the literature, this mode of detecting exoplanets has been investigated much less than the usual mode in which the exoplanets are considered as one companion in binary lens events. Assuming 60 days of observation with cadence for half an hour, we find the probability of rocky planet detection with this method to be virtually zero.However, there is the non-zero probability, for the detection of Jovian planets.We estimate the detection rates of the exoplanets by this method, using Spitzer follow-up observation to be 3.68% of single-lens events and 5.16% of the binary lens events. We also repeat this simulation assuming observations with WFIRST and predict the rate of detection for exoplanets to be 0.3% and 2.9% in case of single-lens and binary lens events respectively. Toward the Galactic bulge, Spitzer can detect 5 exoplanets in single-lens and 5 in binary-lens events per year and per square degree and WFIRST can detect about 50 and 230 exoplanets in single and binary lens events, respectively
  9. Keywords:
  10. Telescope Space Roman Grace Nancy (WFIRST) ; Gravitational Microlensing ; GRASE Satellite ; Exoplanets Detection ; Spitzer Sattelite ; Optical Gravitational Lensing Experiment (OGLE)

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