Agniva Ghosh

April 2015-May 2016: Worked on my Masters’ Thesis Project about using potential Dark Matter candidates as a probe to solve Gauge Coupling Unification problem in Particle Physics under supervision of Prof. Tirtha Sankar Ray at Indian Institute of Technology Kharagpur, India.
January 2017- May 2017: Worked for a project on Dark Matter and Inflation under supervision of Dr. Arindam Chatterjee at Indian Statistical Institute Kolkata, India.

Resume

Allen M. Goldman Fellowship, School of Physics and Astronomy, University of Minnesota Twin Cities, 2021.
Teaching Assistant Award, School of Physics and Astronomy, University of Minnesota Twin Cities, 2018.
Best Masters’ Thesis, Department of Physics, IIT Kharagpur, 2015-2016.
Lectureship and Junior Research Fellowship, Council of Scientific and Industrial Research and University Grants Commission, Govt. of India, 2015.
INSPIRE Scholarship for Higher Education (SHE), Department of Science and Technology, Govt. of India, 2011.

Invited talk at Workshop on Strong Grvitational Lensing, International Space Science Institute, 2022.
Contributed talk at BUFFALO Collaboration Meeting, 2021.
Contributed talk at European Astronomical Society (EAS) Annual Meeting, 2021.

An excursion into the core of the cluster lens Abell 1689,
Agniva Ghosh, Dominic Adams, Liliya L.R. Williams, Jori Liesenborgs, Anahita Alavi and Claudia Scarlata, 2022, MNRAS, submitted.

Further support for a trio of mass-to-light deviations in Abell 370: free-form GRALE lens inversion using BUFFALO strong lensing data,
Agniva Ghosh, Liliya L R Williams, Jori Liesenborgs, Ana Acebron, Mathilde Jauzac, Anton M. Koekemoer, Guillaume Mahler, Anna Niemiec, Charles Steinhardt, Andreas L Faisst, David Lagattuta and Priyamvada Natarajan, 2021, MNRAS, 506, 6144.

Exotic Image Formation in Strong Gravitational Lensing by Clusters of Galaxies -- II: Uncertainties,
Ashish Kumar Meena, Agniva Ghosh, Jasjeet S Bagla and Liliya L R Williams, 2021, MNRAS, 506, 1526.

Free-form GRALE lens inversion of galaxy clusters with up to 1000 multiple images,
Agniva Ghosh, Liliya L R Williams and Jori Liesenborgs, 2020, MNRAS, 494, 3998.