Research

Current Research

The injected X-ray and reprocessed UV light curves from my multi-frequency radiation MHD simulations. The top panel shows light curves from Secunda et al (2024) and the bottom panel shows light curves from Secunda et al. (2025a). The top panel light curves are poorly correlated because of the low X-ray absorption opacity in those simulations. The bottom panel light curves are strongly correlated (r=0.9), because of an updated X-ray opacity model in these simulations that includes line opacities, increasing the absorption opacity.

Simulating AGN disk structure and X-ray reprocessing

Reverberation mapping uses echoes between variability in AGN light curves observed in different wavebands to measure the radial temperature profile and radial extent of AGN disks. However, the current “lamp-post” model for reverberation mapping is oversimplified and fails to describe all of the variability found in UV-optical light curves. I use the new multi-frequency implicit radiation scheme (Jiang, 2022) in the magnetohydrodynamic (MHD) code Athena++ to simulate the reprocessing of X-ray light by the UV- and optical-emitting regions of AGN disks.

  1. In Secunda et al (2024), I show that because the absorption opacity at the surface of AGN disks is low, X-ray irradiation is scattered by the disk and the correlation between the incident X-ray and emitted UV-optical flux will be low. This result does not agree with the typically assumed model for reverberation mapping, which says X-ray variability is the main driver of variability in UV and optical light curves emitted by an AGN disk. However, it does agree with recent observations that find that the X-ray and UV-optical light curves are less well-correlated than expected (e.g., Edelson et al., 2019).
  2. In Secunda et al. (2025a), we perform another suite of multi-frequency radiation MHD simulations using an updated opacity model for the X-ray radiation to show that with sufficient X-ray luminosity and a lower albedo it is possible to have highly-correlated X-ray and UV light curves. In our simulations, the reprocessing of X-ray irradiation into UV emission is nearly instantaneous, as is often assumed, however linear reprocessing models fail to fully capture X-ray reprocessing. We also show that the X-rays in our simulations heat the disk increasing the temperature by a factor of 2-5 in the optically thin region, which could help explain the larger than anticipated lags measured in several reverberation mapping campaigns.
The mean predicted maximum change in magnitude for given current and future JWST observations of LRDs that have been modeled as sub-Eddington (circles) and super-Eddington (triangles) AGN from Secunda et al. (2025b). If LRD variability can be modeled as sub-Eddington AGN, we should have already observed variability in the rest-frame UV and optical for more LRDs, and we will definitely observe variability for LRDs with the ongoing NEXUS campaign. On the other hand, if they are super-Eddington accretors, we do not expect to detect variability for most LRDs in either current or ongoing observations, until we can reach a baseline of up to 10 years.

Searching for variability in Little Red Dots

JWST observations have uncovered a new population of red, compact objects at high redshifts, called Little Red Dots (LRDs). Because of their compactness and frequency association with broad emission lines LRDs are thought to be AGN. However, several other features of these LRDs, such as a lack of X-ray emission, cast doubt on this AGN explanation. In particular, multi-epoch observations of AGN lack evidence of the variability that would be expected in AGN light curves. I use empirically and theoretically modeled mock light curves to determine the probability of detecting significant variability larger than anticipated observational errors given the low numbers of epochs for LRDs observed with JWST.

  1. In Furtak, Secunda et al. (2025), I made mock light curves of the AGN A2744-QSO1 which, due to lensing-induced time delays between three images, has roughly ten observations spanning almost 3 years in the rest frame. We find that because of the large lensing induced magnitude errors it is difficult to detect significant variability in these mock light curves, making us unable to rule out that A2744-QSO1 is varying.
  2. In Secunda et al. (2025b) we find that even though most LRDs have only been observed 2–4 times in a given waveband, we should still be detecting significantly more variability if traditional sub-Eddington AGN variability models can be applied to variability. In addition, the ongoing high-cadence NEXUS campaign will detect changes in magnitude, ∆m > 1, for traditional sub-Eddington models. On the other hand, we find our models for super-Eddington AGN variability are consistent with the ongoing non-detection of variability for a majority of sources. Even if LRDs lack continuum variability, we find that the spectroscopic JWST campaign TWINKLE should observe broad emission line variability as long as soft X-ray irradiation manages to reach the broad line region from the inner disk.
The long negative lag detected by the JAVELIN code (Zu, 2016) between the W2 band and other wavebands as a function of wavelength. From Yao, Secunda, et al. (2023)

Finding negative lags on the viscous timescale

I use SWIFT and other archival quasar light curves to search for “long negative” lags, where the variability in high frequency bands lags the corresponding variability at low frequency, as a probe of accretion disk structure. Traditional reverberation mapping uses lags of variations in active galactic nuclei (AGN) photometry from high frequency to low frequency wavebands on the light-crossing timescale which come from the reprocessing of light in different temperature regions of the disk. The long negative lag, on the other hand, is due to fluctuations in the outer part of the UV/optical region of the disk that are accreted inward on the inflow timescale. Because the inflow rate also depends on disk properties, unlike the speed of light, these long lags can provide additional information about disk structure. Standard disk models predict the inflow timescale is on the order of hundreds of years. However, recent 3D radiation magnetohydrodynamic simulations of AGN disks suggest that in the UV/optical region of the disk, the inflow timescale can be on the order of only 100 days, not years. In Yao, Secunda, et al. (2023) we make the first robust detection of a long lag. We find a long lag of around -70 days between several optical bands and the W2 band in the SWIFT and LCO light curves from Hernandez-Santiseban et al (2020).

I am currently developing a machine learning model to detect more long negative lags.

The top panel shows a simulated driving u-band light curve, in blue, and y-band light curve, reprocessed with a long lag of -50 days, in orange. The middle panel shows the same light curves but sub-sampled using the longest season LSST cadence. The bottom left and right panels show the JAVELIN probability distribution and the lag as a function of frequency recovered by a maximum-likelihood Fourier method, respectively, for the lag in the light curve in the middle panel. From Secunda et al. (2023b).

Preparing for Vera Rubin

The long baseline and high cadence of the Vera Rubin Observatory’s Legacy Survey of Space and Time (LSST), will be ideal for detecting more long negative lags. In Secunda et al. (2023b) I evaluate different proposed cadence options for LSST to determine which cadences work best for detecting these lags. I also test various lag detection methods developed for finding disk continuum and Broad Line Region reverberation mapping on mock LSST light curves in order to have the most effective software in hand once light curves from LSST become available. We find that even with conservative estimates, LSST has the potential to detect dozens to hundreds of additional long lags.

I am also the co-coordinator of the Rubin AGN Variability Subgroup where I am co-leading a reverberation mapping code challenge.

Previous Research

The logarithm of the number of e-folding times for MRI growth for the residual time of the gas in the apparatus with the Hall effect (left panel) and without the Hall effect (right panel) for a range of pressures and vertical magnetic field strengths. From Secunda et al. (2023a).

Swirling gas non-ideal MHD MRI experiment

Whether the magneto-rotational instability (MRI) can drive magnetic dynamo or accretion in proto-planetary disks remains an open question because of the combined non-ideal MHD effects of Ohmic resistivity, ambipolar diffusion, and the Hall effect. In Secunda et al. (2023a) we propose a swirling argon gas experiment that can be used to test our analytic and numerical theoretical predictions of the regimes in which MRI growth is possible. We present the results from a prototype un-magnetized experiment and make predictions and recommendations for a planned magnetized experiment.

The number of BBHs formed in our N-body simulations as a function of mass ratio and total binary mass. The red points show BBHs in GWTC-2 and the red diamonds show the three pre-published BBHs from GWTC-3. From Secunda et al. (2020a).

AGN Disk LIGO Merger Channel

I developed the first N-body code to simulate the effects of gas torques, eccentricity and inclination dampening, and stochastic turbulent torques on black holes (BHs) orbiting in an AGN disk, to study the formation of stellar mass binary hole binaries (BBHs). In particular, I have focused on the region in an AGN disk surrounding the “migration trap,” or a radius in the disk where inward and outward gas torques can cancel out. I have several papers on this subject:

  1. Secunda et al. (2019): Gas torques on orbiters in an AGN disk lead to rapid migration resulting in a majority of orbiters forming binaries on timescale much shorter than the disk lifetime
  2. Secunda et al. (2020a): Migration in regions around the migration trap naturally lead to hierarchical growth and uneven mass ratio binaries at rates similar to those predicted by LIGO. Our simulations build up BBHs as massive as 1000 solar masses within the lifetime of the AGN disk. BBHs formed in AGN disks will primarily have either low or negative effective spins.
  3. Secunda et al. (2021): BHs orbiting in an AGN disk may be orbiting in the retrograde direction (opposite to the direction of the gas disk). Gas drag acting on these orbiters leads to eccentricity pumping and semimajor axis decay. As a result, retrograde orbiters in AGN disks have the potential to become highly eccentric EMRIs. These retrograde orbiters may also act to ionize prograde orbiting BBHs depending on the mass of the SMBH.
Peaks in the escape fraction (solid and dashed lines) lag peaks in star formation rate (purple fill). This lag is one of the main reasons why the escape fraction is lower for simulations using single stellar population models, such as Starbust 99 (Leither et al. 1999, shown in purple), versus simulations that include products of binary stellar evolution (shown in orange and green). From Secunda et al. 2020b.

Binary stars in the Epoch of Reionization

High-resolution numerical simulations of high redshift galaxies including feedback often assume stellar radiation based on single-stellar population synthesis models. However, strong evidence suggests the binary fraction of massive stars is >70%. Emission from binary stellar evolution will be harder than emission from single stars. The impact on the early Universe will be:

  1. Secunda et al. (2020b): Delayed ionizing photons from binary stellar evolution in high redshift galaxies can help to reionize the universe.
  2. Brezin, Secunda et al. (2021): SEDs of early galaxies with products of binary stellar evolution will have harder SEDs, but should still be distinguishable from SEDs of galaxies with Population III starts.
The ratio of M giants to RR Lyrae for different substructures in one of our mock surveys. This ratio could help to associate different substructures that may not be spatially associated. From Sanderson, Secunda, et al. 2017.

Studying substructure in the distant Milky Way stellar halo

Stars out beyond 100 kpc in the stellar halo of the Milky Way (MW) can be used to study more recent accretion events than in the outer halo and help map the MW’s gravitational potential out to the virial radius. In Sanderson, Secunda, et al. 2017, we generate mock surveys of the outer halo of 11 simulated MW-like galaxies mimicking present-day searches for distant M giants and projections for RR Lyra searches with LSST. We use these mock surveys to determine how the properties of these stars can be used to determine the merger history of the outer halo.

References

  • Edelson, R., Gelbord, J., Cackett, E., et al., 2019, ApJ, 870,123.
  • Hernández Santisteban, J. V., Edelson, R., Horne, K., et al. 2020, MNRAS, 498, 5399
  • Jiang, Y.-F. 2022, ApJS, 263, 4
  • Leitherer, C., Schaerer, D., Goldader, J. D., et al. 1999, ApJS, 123, 3
  • Zu, Y., Kochanek, C.S., Kozlowski, S., & Peterson, B.M. 2016, ApJ, 819, 122