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Tues, May 29 | Wed, May 30 | Thurs, May 31 | Fri, June 1 | Sat, June 2 | |
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8:15 | Breakfast | Breakfast | Breakfast | Breakfast | Breakfast |
9:00 | Welcome and Introduction (ppt) - Liz | Intro to Fermi LAT - Regina Caputo | Detectors for LAT - Regina | GRB Science - Judy Racusin | Cosmic Rays and Shocks - Pierre Cristofari |
10:00 | Intro to the Fermi Mission and Sky - Julie McEnery | Intro to Fermi GBM - Michelle Hui | IACTs - Marcos Santander | Transients with HAWC - Michelle | Shock accel and expansion of SNRs - Pierre |
11:00 | Break | Break | Break | Break (Photo!) | Break |
11:30 | Air Showers - Pat Harding | HAWC Science - Pat | The Basics of AGN & their High-Energy Emission - Eileen Meyer | Student Talks / 1 Slide Summaries | Calculating and using Upper Limits - Eileen |
12:30 | Lunch | Lunch | Lunch | Lunch | Lunch |
1:30 | Tour of Fermi Resources Getting Started with Maximum Likelihood Analysis - Pat Harding Getting Started with Fermi: Students choose a source for analysis. | Getting started with Likelihood Analysis in LAT - Jeremy Perkins Quiz tool link: kahoot.it
| Generating LAT XML Models - Elizabeth Ferrara instructions for using make3FGLxml.py script Advanced Likelihood/fermiPy (data.tgz) PDG Statistics review pdf (deltaLL values in Table 38.2 on page 29) | Likelihood Examples/Advanced Topics
Student Projects | Advanced Topics: Upper Limits Getting started with Burst Analysis Michelle/Judy Student Projects
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4:45 | End of the Day Tagup | End of the Day Tagup | End of the Day Tagup | End of the Day Tagup | End of the Day Tagup |
Crab Feast (tutorial) ~6:30/7:00 on patio |
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Mon, June 4 | Tues, June 5 | Wed, June 6 | Thurs, June 7 | Fri, June 8 | |
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8:15 | Breakfast | Breakfast | Breakfast | Breakfast | Breakfast |
9:00 | Intro to Gravitational Waves - Peter Shawhan | Gravitational wave science - Peter | Looking for point sources - Marcos | Pulsar Timing Arrays - Elizabeth Ferrara | Summary (ppt) |
10:00 | GBM transients and mulitmessenger - Michelle/Judy | Neutrinos and Gamma Rays - Marcos | Blazars and Variability - Eileen | BurstCube - Jeremy | Project Results and Feedback |
11:00 | Break | Break | Break | Break | Break |
11:30 | Student Talks / 1 Slide Summaries | Gamma-ray Binaries - Jamie Holder | Future Gamma-ray Prospects - Judy | Workshop Close Out | |
12:30 | Lunch | Lunch | Lunch | Lunch | Lunch |
1:30 | Free afternoon | Time Series and Matched Filtering - Peter Student Projects | Student Talks / 1 Slide Summaries Advanced Topics:
Student Projects | Advanced Topics: Student Projects | |
4:45 | End of the Day Tagup | End of the Day Tagup | End of the Day Tagup | ||
Virden hosted BBQ on the patio | Sunset Cruise from Anglers Fishing Center (Map) Meet there at 5:45pm Please bring $3-$5 for tip |
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Axion-like particle (ALP) is a dark matter candidate predicted by certain extensions of the Standard Model. They are emitted in core-collapse supernovae (CCSNe) via the Primakoff process and undergo a conversion into gamma rays in the presence of an external magnetic field. We observe this effect through an enhanced gamma-ray flux from a CCSN. The study of these spectral irregularities in gamma-ray signals allows for a search of traces of ALPs, as well as determination of constraints on photon-ALP coupling. In this project, we search for these irregularities in the extragalactic core-collapse supernovae with spectral peaks at around ~60 MeV, corresponding to the peak of ALP-induced gamma-ray bursts, thus considering the data both from the upper energy limit of the Fermi-GBM as well as lower energy limit of the LAT instrument. |
Ibrahim Safa - "Imaging Galactic Dark Matter with High Energy Cosmic Neutrinos"
Leonardo Garcia - MHD simulations
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Imaging atmospheric Cherenkov telescopes (IACTs), including the Cherenkov Telescope Array (CTA), detect images of the atmospheric showers generated by gamma rays and cosmic rays as they are absorbed by the atmosphere. Background cosmic rays greatly outnumber gamma rays, so correct classification of the detected images is critical for maximizing IACT sensitivity. I am exploring new event classification methods for CTA using convolutional neural networks, a class of deep learning algorithms specialized for image analysis. Unlike existing analysis methods, convolutional networks can extract useful features directly from images without having to define a preset parametrization. Initial studies using convolutional networks for gamma/hadron classification show promising performance. |
Samuel Spencer - Multiwavelength Fermi Bubbles
Tuesday, June 5
Mary Keenan - "Low-Frequency Observations as a Proxy for Jet Power in RL AGN and the Connection of Jet Power and Jet Speed" - abstract
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