McGuire Group Attends the Green Bank Single Dish Summer School and GBT Training Workshop
Alex, Jasmine, Miya, Gabi, Zach, Archie, Hannah, and Marty traveled to Green Bank, West Virginia from August 7-14 for the 2023 Single Dish Summer School and GBT Training Workshop. This summer school provides students, post-docs, and experts in other fields of astronomy with both knowledge and practical experience of the techniques and applications of single-dish radio astronomy. The workshops are based around an intensive series of lectures from experts, as well as hands-on radio-astronomy projects and tutorials.
McGuire Group Attends the Kavli-IAU Astrochemistry Symposium
The entire group attended the Kavli-IAU Astrochemistry Symposium in Traverse City, Michigan from July 10-14, 2023. Brett gave a talk regarding the development of molecular complexity in the interstellar medium. Alex, Hannah, Zach, and Gabi also presented posters.
McGuire Group Attends the 2023 International Symposium on Molecular Spectroscopy
The entire group attended the 2023 International Symposium on Molecular Spectroscopy (ISMS) at the University of Illinois Urbana-Champaign. Gabi, Hannah, Alex, Zach, and Ceci all gave research talks.
Zach Presents at AbGradCon 2023
Zach attended the 2023 Astrobiology Graduate Conference (AbGradCon) in La Jolla, California from May 22-25. He presented his research regarding the use of machine learning regressors to model the chemical abundances and isotopic ratios of the molecules in the protostar IRAS 16293-2422B.
Alex is Awarded NSF GRFP Fellowship
The NSF Graduate Research Fellowhip Program (GRFP) recognizes and supports outstanding graduate students who have demonstrated the potential to be high achieving scientists and engineers, early in their careers.
Congratulations, Alex!
McGuire Group Attends K-Band Science Meeting at the Green Bank Observatory
Brett, Ceci, Alex, Hannah, and Zach traveled to Green Bank
to discuss the science being conducted in the K-Band range of frequencies
with the Green Bank Telescope. Brett provided a
talk
regarding the use of the K-Band for astrochemistry.
Hannah is Awarded MathWorks Science Fellowship
This graduate fellowship provides support to graduate students within the MIT School of Science with a preference for students who are active users of MATLAB and/or Simulink. Congratulations, Hannah!
Ceci Wins the Robert Brown Outstanding Dissertation Award
This award is given each year to a recent recipient of a doctoral degree from any recognized degree granting institution
in the United States, and is substantially based on new observational data obtained at any AUI operated facility and
considered to be of an exceptionally high scientific standard value and impact within and beyond the area of study. Congratulations, Ceci!
McGuire Group Detects Two New Molecules in Space
The first two papers from McGuire's GOTHAM (GBT Observations of TMC-1: Hunting Aromatic Molecules) Collaboration
were published, reporting on an overview of the project and detection of propargyl cyanide (HCCCH2CN) for
the first time in the interstellar medium (McGuire et al. 2020) and the first detection of the HC4NC molecule
in the interstellar medium (Xue et al. 2020).
McGuire Named to C&EN's 2020 Talented 12 List
McGuire shares the honor with eleven brilliant young chemists (average age: 34).
As part of the program, McGuire will give a talk at the
C&EN Futures Festival
August 25-26, 2020.
Kelvin Presents on Machine Learning in Spectroscopy @ SciPy 2020
Solving Spectroscopic Problems with Pythonic Workflows and Deep Learning
With the advent of next generation radio telescopes and laboratory instrumentation, spectral
line surveys are becoming increasingly high resolution and high bandwidth resulting in
extremely line-rich spectra, collected in a mere few hours. Chemists, astronomers, and
spectroscopists have to analyze spectra containing hundreds of features, often with
little prior knowledge about the problem. In this talk, Kelvin discusses the development
of PySpecTools, a platform for automating complex spectral analysis by implementing
Pythonic workflows and probabilistic deep learning models.