News: Department of Physics and Astronomy

Fall colors 2025
Campus News |

Some of the biggest news headlines featuring UNLV faculty and students.

Artist depiction of cosmic black hole merger
Research |

The mergers, measured one month apart in 2024 by LIGO-Virgo-KAGRA collaboration, advance scientific understanding of the nature of black hole formation and fundamental physics; offer evidence of "second-gen" black holes.  
 

artist conception of planets near large star
Research |

In new study, published in Astrophysical Journal Letters, collaboration of scientists detail recent observations explaining how planets form over time.

Students on campus.
Campus News |

A selection of top news headlines featuring UNLV faculty and students.

Pratheesh Kumar
People |

The assistant professor helps launch career-focused engineering technology program designed with student success in mind.

Spring flowers
Campus News |

The students and faculty of UNLV are springing into headlines around the country.

spring flowers
Campus News |

The rosiest headlines and highlights featuring the students and faculty of UNLV.

A UNLV student studies with the Strip in the distance.
Campus News |

Headlines and highlights featuring the students and faculty of UNLV.

Image of supermassive black hole Sagittarius A
Research |

UNLV astrophysicists analyze data from Event Horizon Telescope’s groundbreaking imaging of Sagittarius A* and suggest it formed by merger of two black holes roughly 9 billion years ago.
 

two men kneel on ground to put together lab equipment
Research |

The College of Sciences installs a dilution refrigerator, a machine used to study quantum particles and devices near absolute zero.

artist rendering of deep-space plasma bubble
Research |

New study by international team of scientists in the journal Nature has discovered the origin of the persistent emission of radiation observed in some deep-space fast radio bursts.

Artist rendering of NASA Swift Satellite
Research |

Two studies pair observational data with machine learning models to increase precision in distance estimates for GRBs.