This award recognizes individuals who demonstrate exceptional commitment to fostering a positive working environment for those around them, leading by example, and generally demonstrating outstanding mentorship. Congratulations, Marty!
Alongside a global collaboration, members of the McGuire group worked to measure and analyze the rotational spectrum of 2-methoxyethanol (CH3OCH2CH2OH). This new data ultimately resulted in the first interstellar detection of the molecule toward the star-forming region NGC 6334I.
The recipients of the Infinite Expansion Award are recognized not only for their exceptional science, but for mentoring and advising junior colleagues, supporting educational programs, working with the MIT Postdoctoral Association, or contributing some other way to the Institute. Congratulations, Gabi!
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.
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.
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 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.
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!
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.
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!
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!
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 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.
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.