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Dimming Starlight with Dark Compact Objects.

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We present a novel method to detect dark matter compact objects by observing how they dim starlight. Analyzing existing microlensing data, we show this technique can constrain dark sectors and discover these elusive objects.

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Area of Science:

  • Astrophysics
  • Particle Physics
  • Cosmology

Background:

  • Dark matter remains largely undetected, with its nature and distribution unknown.
  • Compact objects composed of dark matter could interact with light, affecting astronomical observations.
  • Microlensing surveys provide a valuable dataset for studying transient astronomical events.

Purpose of the Study:

  • To introduce a new technique for searching for dark matter in the form of compact objects.
  • To investigate the potential of using stellar dimming events caused by these objects as a detection method.
  • To constrain theoretical models of dark sectors and explore the discovery potential for dark matter compact objects.

Main Methods:

  • Analyzing light-curve data from existing microlensing surveys (EROS-2 and OGLE).
  • Searching for characteristic stellar dimming patterns caused by dark compact objects passing between Earth and background stars.
  • Developing a dimming analysis framework to interpret observational data.

Main Results:

  • Demonstrated that dimming analysis of existing microlensing data can effectively search for dark compact objects.
  • Established constraints on certain dark sector models based on the absence of significant dimming events.
  • Showcased the potential of this method for discovering dark matter in compact object form.

Conclusions:

  • The proposed dimming analysis technique is a viable method for dark matter searches.
  • Existing microlensing surveys hold untapped potential for discovering dark matter compact objects.
  • This approach offers a complementary pathway to traditional dark matter detection experiments.