Solar REU Intern Projects By Year
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2023 Projects
Development of a Telescope Design System that Will Allow the User to Quickly Design, Analyze, and Specify Telescope Systems for Space Applications
Project Type: Engineering
Skills/Interest Required: Optics, optical alignment, and hands-on testing
Mentors: Mr. Peter Cheimets & Mr. Ed Hertz
Email: pcheimets@cfa.harvard.edu
SAO is developing a package that will allow for quick comparisons between optical designs at all levels of their functionality. The system will allow the user to predict the performance of the optical system in the environment in which it will be used, compare that performance with systems designed with different parameters, and, once having selected the final design, fully specify optical systems. The project will involve learning about elementary optics, programming (likely in Matlab,) and the basics of structural and thermal analysis. This is a challenging project within the class of analysis called Structural/Thermal/OPtical (STOP) Analysis, the end point of which will have large ramifications for how optical instruments are designed.
Investigating Bizarre Small-scale Explosions Embedded in the Cool Solar Atmosphere
Project Type: Imaging & spectroscopic analysis
Skills/Interest Required: Interest in applying statistical methods to and interpreting physical properties from imaging and spectroscopic data produced by space telescopes. Introductory knowledge of the IDL programming language is recommended but not required.
Mentors: Dr. Chad Madsen & Dr. Ed DeLuca
Email: cmadsen@cfa.harvard.edu
For the past nine years, the Interface Region Imaging Spectrograph (IRIS) has provided astrophysicists a never-before-seen glimpse into the bizarre phenomena of the ultraviolet (UV) Sun. The spacecraft owes its success largely to its unprecedented spatial and temporal resolution, which allows it to simultaneously image and sample spectra from previously unresolved, small-scale, transient phenomena in the solar atmosphere. Among the strangest examples is the UV burst, a phenomenon first described by Peter et al. (2014). UV bursts inhabit magnetically active regions and initially appear as small (< 1 arcsec wide) bright dots with lifetimes on the order of a few minutes; however, spectral data reveals a far more dramatic character. Strong emission lines associated with the hot solar transition region often split into two or three peaks of varying shape and intensity when these bursts occur. These peaks are likely due to energetic bidirectional jets reaching upwards of 200 km s-1, likely arising from a process known as magnetic reconnection. Furthermore, the fact that we see these effects in transition region emission lines such as Si IV 1394 Å suggests that the bursts are composed of plasma with temperatures of at least 80,000 K; however, the presence of strong absorption from cool metals like Fe II and Ni II suggests that these hot explosions are deeply embedded in the coolest layers of the solar atmosphere with plasma temperatures closer to 4,000 K. This means these bursts have the potential to contribute to the dramatic and unexplained heating seen in the solar chromosphere and corona. Finally, these bursts can also hold the key to indirectly measuring the magnetic field strength in the solar chromosphere, a notoriously difficult region to observe directly.
The goal of this project is to detect and characterize UV bursts in spectral data from the IRIS spacecraft. In particular, the student will apply an algorithm for detecting UV bursts and then use their sample to diagnose physical properties of chromospheric plasma. Image processing, spectroscopic analysis, data handling, and statistical methods will play key roles in this project, four valuable topics for any aspiring astrophysicist to learn. The student will work closely with two professional scientists on this project, receiving personalized coding and physics instruction when the need arises.
Development of a Balloon-borne Coronagraph
Project Type: Hands-on engineering
Skills/Interest Required: Applicants should have an interest in lab instrumentation, a strong math background, and some experience with programming in any language. Familiarity with optics, mechanical design, hardware programming, or MATLAB is a plus.
Mentors: Dr. Jenna Samra & Ms. Vanessa Márquez
Email: jsamra@cfa.harvard.edu
The Sun’s corona is notable for its million-degree temperatures and its violent eruptions, but we don’t understand exactly how coronal heating takes place, and we can’t predict precisely when solar activity will occur. Both of these features are controlled by the corona’s magnetic field which is extremely difficult to measure. At the CfA, we are building a new instrument called CORSAIR to measure the coronal magnetic field with unprecedented sensitivity from a high-altitude balloon. CORSAIR will observe the corona continuously for at least one month from higher than 100,000 feet over Antarctica, making magnetic field measurements that will give us a deeper understanding of the Sun’s outer atmosphere.
The REU student will help with the development of CORSAIR. Possible tasks include designing simple mechanical components, writing software to automate focus mechanisms, and/or defining the optical alignment plan and proving it out with a simple lab prototype.
Evaluating Models of the Sun’s Corona for Parker Solar Probe’s Most Recent Solar Encounters
Project Type: Data analysis & numerical simulations.
Skills/Interest Required: Some familiarity with Python or another high-level programming language is needed. No specific solar physics knowledge is required, but you will learn a lot by doing this project.
Mentors: Dr. Sam Badman, Dr. Yeimy Rivera, & the CfA SWEAP team
Email: samuel.badman@cfa.harvard.edu
The solar corona is the tenuous outer region of the Sun’s atmosphere that can be seen when a total eclipse occurs. It consists of a million degree Kelvin plasma that is shaped by the Sun’s magnetic field. Because it is so hot (1000x hotter than the surface of the Sun,) this plasma is continually expanding and escaping into the Solar System forming what is called the solar wind. We don’t fully understand (1) what sustains such huge temperatures and (2) how the acceleration of the solar wind happens. One key tool for understanding these big questions are numerical models of the corona. However, we need to be able to judge how accurate these models are in a systematic way. In Badman et al. (2022) we defined several metrics in an attempt to do this.
In this project, we will apply these metrics to models of the corona from the most recent encounters of the NASA mission, Parker Solar Probe (PSP), which is currently orbiting closer to the Sun than any prior spacecraft. The goal will be to determine what model parameters best represent the corona and explain data taken by PSP. The student will learn to (1) run and interpret potential field source surface (PFSS) models that reconstruct the coronal magnetic field using open-source software from pfsspy, (2) download, plot, and analyze remote observations of the corona as well as in situ data of the solar wind all from active spacecraft throughout the Solar System, and (3) bring these aspects together to judge how good the models can reproduce coronal and solar wind conditions. This will involve using other Python packages such as sunpy and astropy.
A Tale of Two Intense Geomagnetic Storms in Solar Cycle 23
Project Type: Data analysis
Skills/Interest Required: Interest in analyzing space- and ground-based data. The basics of the IDL programming language is recommended but not required.
Mentor: Dr. Nishu Karna & Dr. Tatiana Niembro Hernández
Email: nishu.karna@cfa.harvard.edu
One of the fundamental properties of the Sun is its magnetic structure: a combination of closed and open field lines. Coronal holes are regions of open, unipolar magnetic fields where high-speed solar wind particles are accelerated into interplanetary space, thus playing a crucial role in heliophysics as one of the main drivers of geomagnetic activity. Active regions, areas of strong closed magnetic fields, host many eruptive events such as flares, filament/prominence eruptions and coronal mass ejections (CMEs), which may cause geomagnetic storms. Understanding how the interaction between the open- and closed-field regions results in geoeffective CMEs is a fundamental requirement for predicting the effects of the Sun upon Earth. During the summer, the student will study intense geomagnetic storm events from Solar Cycle 23 and perform the following: (1) construct Kitt Peak Vacuum Telescope synoptic maps of He I 1083 nm, (2) extract and measure the physical parameters of coronal holes, including size and locations, and (3) identify and analyze signatures of CMEs and high-speed streams in in-situ data at 1 AU.
Plasma Heating by Counterpropagating Electromagnetic Waves in the Solar Wind
Project Type: Data analysis
Skills/Interest Required: The student will gain experience in scientific computing, such as design and execution of numerical calculations in Python or similar languages, and in the management of large data sets. The project will include knowledge/teaching about the physics of space plasmas (wave-particle dynamics, E&M, etc.) Prior experience or coursework in these subjects is helpful but not required.
Mentors: Dr. Kristoff Paulson, Dr. Mike Stevens, & the CfA SWEAP team
Email: kpaulson@cfa.harvard.edu
The solar wind plasma that makes up the constant flow of mass outwards from the Sun is an ionized sea of particles. Due to the extremely low density in interplanetary space, the dominant exchange of energy across particle populations is through wave activity. These wave-particle interactions are one of the proposed drivers of solar wind and coronal plasma heating, two as yet unsolved problem. Plasma waves exist across a very broad range of the frequency spectrum, and can manifest with a variety of characteristics depending on their generation conditions and driving mechanisms. A subset of these waves oscillate at frequencies close to the rate at which the surrounding protons and alpha particles spiral around the local magnetic field. These “ion-scale” waves are able to engage in resonant interactions with solar wind ions, efficiently transferring energy in ways that heat the particle distributions.
Over the last year, the Parker Solar Probe spacecraft has spent a portion of each of its highly elliptical orbits inside of the “sub-Alfvénic” surface surrounding the Sun, producing the first in-situ measurements of the atmosphere of a star . For this project, the student will analyze periods of observed wave activity in and around this region using magnetic and electric field measurements to calculate wave energy propagation. They will build a dataset of events where these waves are able to resonantly interact with the outflowing plasma and evaluate these observations relative to measured plasma properties (such as plasma temperature perpendicular and parallel to the magnetic field.) The student will evaluate the degree to which direct plasma heating by wave activity can be observed and how much this energization contributes to the overall heating of the solar wind.
Shockwaves in Space: Can One Satellite Tell Us What's Coming, or Do We Need a Fleet?
Project Type: Data analysis
Skills/Interest Required: No special skills required. The student will perform initial analysis using pre-existing GUI software. Higher-level data analysis may be done in the scientific computing environment of the student's choice.
Mentors: Mr. Lucas Guliano & Dr. Mike Stevens
Email: lucas.guliano@cfa.harvard.edu
When solar eruptions or solar wind fronts arrive at the Earth, they often drive enormous shock waves, striking at the Earth's magnetic shield with a sudden and dramatic jolt. These shock waves and the gusts of solar wind that drive them produce terrestrial phenomena that are quite beautiful (the aurora) but occasionally quite dangerous, causing atmospheric disturbances that can compromise GPS satellites or even electrical currents in the ground that can cripple power systems. The Wind spacecraft is one of four "space weather stations" that orbit upstream of the Earth and that might measure these shocks before they arrive. The other three stations can detect the arrival of a shock, but the instruments on Wind make it uniquely capable of measuring a shock's properties. From the Wind measurements, it is possible to estimate the speed and direction of the shock wave, thereby predicting when and from what angle it will strike the Earth.
Shock waves of varying degree are measured by Wind and detected by other spacecraft every few weeks during the solar maximum (which is now!) The student will learn to recognize these events in the spacecraft observations, building a data set from the present solar maximum, and will then apply the physics model we use to estimate shock speed, magnitude, and direction. The student will then test that model by comparing their estimates against the times and points of detection provided by (at least) three other near-Earth spacecraft: the Deep Space Climate Observatory, the Solar Heliospheric Observatory, and the Advanced Composition Explorer. In this way, the student will test whether a single weather station like Wind is sufficient for forecasting shocks at the Earth, or whether a multi-spacecraft constellation is required that can sample the shock at four separate points in space and time.
Heating During Solar Eruptions Observed at X-ray Wavelengths
Project Type: Data analysis
Skills/interest Required: An interest in solar eruptions; experience with Python is not required but is a plus.
Mentors: Dr. Kathy Reeves & Dr. Xiaoyan Xie
Email: kreeves@cfa.harvard.edu
Solar eruptions are powerful and dynamic events on the Sun that convert stored magnetic energy into thermal energy that heats flare plasma and provides kinetic energy for coronal mass ejections. Flare plasma can be heated up to 30 million degrees K. The X-ray Telescope (XRT) onboard the Hinode spacecraft determines temperatures by taking intensity ratios across different filters. The abundances of first-ionization potential elements in the plasma has an effect on these temperature measurements.
The student will calculate temperatures during eruptions from XRT filter ratios using different abundance assumptions. We will use the new XRTpy Python package to determine the effects different assumptions have on this measurement. If time permits, the student will synthesize measurements from the proposed ECCCO mission in order to determine if that mission will be able to discern between different abundance levels during eruptions.
Skills/interest Required: An interest in solar eruptions; experience with Python is not required but is a plus.
Mentors: Dr. Kathy Reeves & Dr. Xiaoyan Xie
Email: kreeves@cfa.harvard.edu
Solar eruptions are powerful and dynamic events on the Sun that convert stored magnetic energy into thermal energy that heats flare plasma and provides kinetic energy for coronal mass ejections. Flare plasma can be heated up to 30 million degrees K. The X-ray Telescope (XRT) onboard the Hinode spacecraft determines temperatures by taking intensity ratios across different filters. The abundances of first-ionization potential elements in the plasma has an effect on these temperature measurements.
The student will calculate temperatures during eruptions from XRT filter ratios using different abundance assumptions. We will use the new XRTpy Python package to determine the effects different assumptions have on this measurement. If time permits, the student will synthesize measurements from the proposed ECCCO mission in order to determine if that mission will be able to discern between different abundance levels during eruptions.