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Darling, Jeremy

Professor

Positions

Research Areas research areas

Research

research overview

  • Professor Darling's research deals with galaxies, massive black holes, star formation, cosmology, and dark matter. His work is mostly observational, using telescopes across the electromagnetic spectrum, but includes some theoretical work. Recent new research areas focus on 'real-time' cosmology, astrometry, tests of general relativity, detecting dark matter, detecting antimatter, measurements of physical constants with telescopes, primordial gravitational waves, and predictions of phenomena that can be observed using modern and planned telescopes.

keywords

  • cosmology, dark matter, antimatter, physical constants, precision spectroscopy, atomic clocks in space, neutron lifetime, gravitational waves, star formation, interstellar medium, black holes, general relativity, Galactic Center, masers, gravitational lenses, high redshift, early universe, astronomical surveys, data mining, machine learning, proper motion, astrometry

Publications

selected publications

Teaching

courses taught

  • ASTR 2600 - Introduction to Scientific Programming
    Primary Instructor - Fall 2018 / Fall 2019 / Fall 2024
    Introduces principles, methods and tools of scientific programming commonly used in research. Topics include an introduction to programming in Python, data structures, numerical methods for calculus and data manipulation/visualization. Techniques covered are relevant to many technical fields but emphasis is placed on application to problems in astronomy and planetary science. Class time is split between lectures and in-lab tutorials. Degree credit not granted for this course and PHYS 2600.
  • ASTR 3740 - Cosmology and Relativity
    Primary Instructor - Spring 2018
    Special and general relativity as applied to astrophysics, cosmological models, observational cosmology, experimental relativity and the early universe. Elective for APS major and minor.
  • ASTR 3800 - Introduction to Scientific Data Analysis and Computing
    Primary Instructor - Fall 2020 / Fall 2022
    Introduces scientific data analysis from a practical perspective. Covers statistical analysis, model fitting, error analysis, theoretical compliance and image analysis with examples from space-based and ground-based astronomy. Elective for APS major. Opened to qualified non-majors with instructor consent.
  • ASTR 5110 - Atomic and Molecular Processes
    Primary Instructor - Fall 2018 / Fall 2019 / Fall 2021
    Explores the application of quantum physics and statistical mechanics to problems in astrophysics, space physics and planetary science, with an emphasis on radiative processes and spectroscopy of atoms and molecules.

Background

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