Tim Eifler

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Journals/Publications

• , J. X., , T. E., , E. H., , P. R., , H. H., , S. E., & , E. K. (2022). Kinematic Lensing with the Roman Space Telescope.
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  Kinematic lensing (KL) is a new cosmological measurement technique thatcombines traditional weak lensing (WL) shape measurements of disc galaxies withtheir kinematic information. Using the Tully-Fisher relation KL breaks thedegeneracy between intrinsic and observed ellipticity and significantly reducesthe impact of multiple systematics that are present in traditional WL. Weexplore the performance of KL given the instrument capabilities of the$\textit{Roman Space Telescope}$, assuming overlap of the High Latitude ImagingSurvey (HLIS), the High Latitude Spectroscopy Survey (HLSS) over 2,000 deg$^2$.Our KL suitable galaxy sample has a number density of$n_{\mathrm{gal}}=4~\mathrm{arcmin}^{-1}$ with an estimated shape noise levelof $\sigma_{\epsilon}=0.035$. We quantify the cosmological constraining poweron $\Omega_{\mathrm{m}}$-$S_8$, $w_p$-$w_a$ by running simulated likelihoodanalyses that account for redshift and shear calibration uncertainties,intrinsic alignment and baryonic feedback. Compared to a traditional WL surveywe find that KL significantly improves the constraining power on$\Omega_{\mathrm{m}}$-$S_8$ (FoM$_{\mathrm{KL}}$=1.70FoM$_{\mathrm{WL}}$) and$w_p$-$w_a$ (FoM$_{\mathrm{KL}}$=3.65FoM$_{\mathrm{WL}}$). We also explore a"narrow tomography KL survey" using 30 instead of the default 10 tomographicbins, however we find no meaningful enhancement to the FoM even when assuming asignificant time-dependence in our fiducial dark energy input scenarios.[Journal_ref: ]
• , M. A., , F. C., , T. E., , R. F., , M. M., , M. L., , C. B., , A. H., , M. V., , S. W., & , R. W. (2022). Snowmass2021 Theory Frontier White Paper: Data-Driven Cosmology.
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  Over the past few decades, astronomical and cosmological data sets firmlyestablished the existence of physics beyond the Standard Model of particlephysics by providing strong evidence for the existence of dark matter, darkenergy, and non-zero neutrino mass. In addition, the generation of primordialperturbations most likely also relies on physics beyond the Standard Model ofparticle physics. Theory work, ranging from models of the early universe instring theory that that led to novel phenomenological predictions to thedevelopment of effective field theories to large-scale cosmological simulationsthat include the physics of galaxy evolution, has played a key role inanalyzing and interpreting these data sets and in suggesting novel pathsforward to isolate the origins of this new physics. Over the next decade, evenmore sensitive surveys are beginning to take data and are being planned. Inthis white paper, we describe key areas of the theory program that will beneeded to optimize the physics return on investment from these newobservational opportunities.[Journal_ref: ]
• , S. S., , T. E., , V. M., & , S. K. (2022). Accelerating cosmological inference with Gaussian processes and neural networks -- an application to LSST Y1 weak lensing and galaxy clustering.
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  Studying the impact of systematic effects, optimizing survey strategies,assessing tensions between different probes and exploring synergies ofdifferent data sets require a large number of simulated likelihood analyses,each of which cost thousands of CPU hours. In this paper, we present a methodto accelerate cosmological inference using emulators based on Gaussian processregression and neural networks. We iteratively acquire training samples inregions of high posterior probability which enables accurate emulation of datavectors even in high dimensional parameter spaces. We showcase the performanceof our emulator with a simulated 3x2 point analysis of LSST-Y1 with realistictheoretical and systematics modelling. We show that our emulator leads tohigh-fidelity posterior contours, with an order of magnitude speed-up. Mostimportantly, the trained emulator can be re-used for extremely fast impact andoptimization studies. We demonstrate this feature by studying baryonic physicseffects in LSST-Y1 3x2 point analyses where each one of our MCMC runs takesapproximately 5 minutes. This technique enables future cosmological analyses tomap out the science return as a function of analysis choices and surveystrategy.[Journal_ref: ]
• , X. F., , T. E., , E. S., , H. H., , E. K., & , S. F. (2022). Cosmology from Clustering, Cosmic Shear, CMB Lensing, and Cross Correlations: Combining Rubin Observatory and Simons Observatory.
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  In the near future, the overlap of the Rubin Observatory Legacy Survey ofSpace and Time (LSST) and the Simons Observatory (SO) will present an idealopportunity for joint cosmological dataset analyses. In this paper we simulatethe joint likelihood analysis of these two experiments using six two-pointfunctions derived from galaxy position, galaxy shear, and CMB lensingconvergence fields. Our analysis focuses on realistic noise and systematicsmodels and we find that the dark energy Figure-of-Merit (FoM) increases by 53%(92%) from LSST-only to LSST+SO in Year 1 (Year 6). We also investigate thebenefits of using the same galaxy sample for both clustering and lensinganalyses, and find the choice improves the overall signal-to-noise by ~30-40%,which significantly improves the photo-z calibration and mildly improves thecosmological constraints. Finally, we explore the effects of catastrophicphoto-z outliers finding that they cause significant parameter biases whenignored. We develop a new mitigation approach termed "island model", whichcorrects a large fraction of the biases with only a few parameters whilepreserving the constraining power.[Journal_ref: ]
• , Y. W., , Z. Z., , A. A., , E. M., , A. P., , A. B., , C. M., , L. S., , D. H., , J. C., , O. D., , T. E., , C. H., , S. H., , E. K., , N. P., , D. S., & , H. I. (2022). The High Latitude Spectroscopic Survey on the Nancy Grace Roman Space Telescope.
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  The Nancy Grace Roman Space Telescope will conduct a High LatitudeSpectroscopic Survey (HLSS) over a large volume at high redshift, using thenear-IR grism (1.0-1.93 $\mu$m, $R=435-865$) and the 0.28 deg$^2$ wide fieldcamera. We present a reference HLSS which maps 2000 deg$^2$ and achieves anemission line flux limit of 10$^{-16}$ erg/s/cm$^2$ at 6.5$\sigma$, requiring$\sim$0.6 yrs of observing time. We summarize the flowdown of the Roman scienceobjectives to the science and technical requirements of the HLSS. We constructa mock redshift survey over the full HLSS volume by applying a semi-analyticgalaxy formation model to a cosmological N-body simulation, and use this mocksurvey to create pixel-level simulations of 4 deg$^2$ of HLSS grismspectroscopy. We find that the reference HLSS would measure $\sim$ 10 millionH$\alpha$ galaxy redshifts that densely map large scale structure at $z=1-2$and 2 million [OIII] galaxy redshifts that sparsely map structures at $z=2-3$.We forecast the performance of this survey for measurements of the cosmicexpansion history with baryon acoustic oscillations and the growth of largescale structure with redshift space distortions. We also study possibledeviations from the reference design, and find that a deep HLSS at $f_{\rmline}>7\times10^{-17}$erg/s/cm$^2$ over 4000 deg$^2$ (requiring $\sim$1.5 yrsof observing time) provides the most compelling stand-alone constraints on darkenergy from Roman alone. This provides a useful reference for futureoptimizations. The reference survey, simulated data sets, and forecastspresented here will inform community decisions on the final scope and design ofthe Roman HLSS.[Journal_ref: ]
• Eifler, T. (2021). Cosmology with the Roman Space Telescope -- Multi-Probe Strategies. MNRAS.
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  We simulate the scientific performance of the Wide-Field Infrared SurveyTelescope (WFIRST) High Latitude Survey (HLS) on dark energy and modifiedgravity. The 1.6 year HLS Reference survey is currently envisioned to image2000 deg$^2$ in multiple bands to a depth of $\sim$26.5 in Y, J, H and to coverthe same area with slit-less spectroscopy beyond z=3. The combination of deep,multi-band photometry and deep spectroscopy will allow scientists to measurethe growth and geometry of the Universe through a variety of cosmologicalprobes (e.g., weak lensing, galaxy clusters, galaxy clustering, BAO, Type Iasupernova) and, equally, it will allow an exquisite control of observationaland astrophysical systematic effects. In this paper we explore multi-probestrategies that can be implemented given WFIRST's instrument capabilities. Wemodel cosmological probes individually and jointly and account for correlatedsystematics and statistical uncertainties due to the higher order moments ofthe density field. We explore different levels of observational systematics forthe WFIRST survey (photo-z and shear calibration) and ultimately run a jointlikelihood analysis in N-dim parameter space. We find that the WFIRST referencesurvey alone (no external data sets) can achieve a standard dark energy FoM of>300 when including all probes. This assumes no information from external datasets and realistic assumptions for systematics. Our study of the HLS referencesurvey should be seen as part of a future community driven effort to simulateand optimize the science return of WFIRST.[Journal_ref: ]
• , C. T., , E. K., , E. R., , H. W., , D. G., , J. D., , E. S., , R. H., , M. R., , M. C., , T. E., , M. E., & , N. K. (2021). Combination of cluster number counts and two-point correlations: Validation on Mock Dark Energy Survey.
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  We present a method of combining cluster abundances and large-scale two-pointcorrelations, namely galaxy clustering, galaxy--cluster cross-correlations,cluster auto-correlations, and cluster lensing. This data vector yieldscomparable cosmological constraints to traditional analyses that rely onsmall-scale cluster lensing for mass calibration. We use cosmological surveysimulations designed to resemble the Dark Energy Survey Year One (DES-Y1) datato validate the analytical covariance matrix and the parameter inferences. Theposterior distribution from the analysis of simulations is statisticallyconsistent with the absence of systematic biases detectable at the precision ofthe DES Y1 experiment. We compare the $\chi^2$ values in simulations to theirexpectation and find no significant difference. The robustness of our resultsagainst a variety of systematic effects is verified using a simulatedlikelihood analysis of a Dark Energy Survey Year 1-like data vectors. This workpresents the first-ever end-to-end validation of a cluster abundancecosmological analysis on galaxy catalog-level simulations.[Journal_ref: ]
• , D. A., , E. C., , T. E., , G. F., , S. F., , E. G., , J. C., , E. K., , M. M., , A. S., & , D. N. (2021). Combining information from multiple cosmological surveys: inference and modeling challenges.
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  The tightest and most robust cosmological results of the next decade will beachieved by bringing together multiple surveys of the Universe. This endeavorhas to happen across multiple layers of the data processing and analysis, e.g.,enhancements are expected from combining Euclid, Rubin, and Roman (as well asother surveys) not only at the level of joint processing and catalogcombination, but also during the post-catalog parts of the analysis such as thecosmological inference process. While every experiment builds their ownanalysis and inference framework and creates their own set of simulations,cross-survey work that homogenizes these efforts, exchanges information fromnumerical simulations, and coordinates details in the modeling of astrophysicaland observational systematics of the corresponding datasets is crucial.[Journal_ref: ]
• , L. W., , C. D., , C. H., , R. B., , B. J., , O. D., , T. E., & , X. F. (2021). Cosmology with the Roman Space Telescope -- Synergies with CMB lensing.
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  We explore synergies between the Nancy Grace Roman Space Telescope and CMBlensing data to constrain dark energy and modified gravity scenarios. Asimulated likelihood analysis of the galaxy clustering and weak lensing datafrom the Roman Space Telescope High Latitude Survey combined with CMB lensingdata from the Simons Observatory is undertaken, marginalizing over importantastrophysical effects and calibration uncertainties. Included in the modelingare the effects of baryons on small-scale clustering, scale-dependent growthsuppression by neutrinos, as well as uncertainties in the galaxy clusteringbiases, in the intrinsic alignment contributions to the lensing signal, in theredshift distributions, and in the galaxy shape calibration. The addition ofCMB lensing roughly doubles the dark energy figure-of-merit from Romanphotometric survey data alone, varying from a factor of 1.7 to 2.4 improvementdepending on the particular Roman survey configuration. Alternatively, theinclusion of CMB lensing information can compensate for uncertainties in theRoman galaxy shape calibration if it falls below the design goals. Furthermore,we report the first forecast of Roman constraints on a model-independentstructure growth, parameterized by $\sigma_8 (z)$, and on the Hu-Sawicki f(R)gravity as well as an improved forecast of the phenomenological$(\Sigma_0,\mu_0)$ model. We find that CMB lensing plays a crucial role inconstraining $\sigma_8(z)$ at z>2, with percent-level constraints forecastedout to z=4. CMB lensing information does not improve constraints on the f(R)models substantially. It does, however, increase the $(\Sigma_0,\mu_0)$figure-of-merit by a factor of about 1.5.[Journal_ref: ]
• , N. B., , A. B., , T. E., , A. H., , K. H., , S. H., , A. K., , Z. L., , M. S., , E. S., & , J. S. (2021). Report from the Tri-Agency Cosmological Simulation Task Force.
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  The Tri-Agency Cosmological Simulations (TACS) Task Force was formed whenProgram Managers from the Department of Energy (DOE), the National Aeronauticsand Space Administration (NASA), and the National Science Foundation (NSF)expressed an interest in receiving input into the cosmological simulationslandscape related to the upcoming DOE/NSF Vera Rubin Observatory (Rubin),NASA/ESA's Euclid, and NASA's Wide Field Infrared Survey Telescope (WFIRST).The Co-Chairs of TACS, Katrin Heitmann and Alina Kiessling, invited communityscientists from the USA and Europe who are each subject matter experts and arealso members of one or more of the surveys to contribute. The following reportrepresents the input from TACS that was delivered to the Agencies in December2018.[Journal_ref: ]
• Alonso, D., Calabrese, E., Eifler, T., Fabbian, G., Ferraro, S., Gawiser, E., Hill, J. C., Krause, E., Madhavacheril, M., Slosar, A., & Spergel, D. N. (2021). "Combining information from multiple cosmological surveys: inference and modeling challenges". arXiv e-prints, arXiv:2103.05320.
• Costanzi}, M., Saro, A., Bocquet, S., Abbott, T., Aguena, M., Allam, S., Amara, A., Annis, J., Avila, S., Bacon, D., Benson, B., Bhargava, S., Brooks, D., Buckley-Geer, E. .., Burke, D., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Choi, A., , Costa, L., et al. (2021). "Cosmological constraints from DES Y1 cluster abundances and SPT multiwavelength data". prd, 103(4), 043522.
• Eifler, T. (2021). Cosmology with the Roman Space Telescope Telescope -- Synergies with the Rubin Observatory Legacy Survey of Space and Time. MNRAS.
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  We explore synergies between the space-based Wide-Field Infrared SurveyTelescope (WFIRST) and the ground-based Rubin Observatory Legacy Survey ofSpace and Time (LSST). In particular, we consider a scenario where thecurrently envisioned survey strategy for WFIRST's High Latitude Survey (HLS),i.e., 2000 square degrees in four narrow photometric bands is altered in favorof a strategy that combines rapid coverage of the LSST area (to full LSSTdepth) in one band. We find that a 5-month WFIRST survey in the W-band cancover the full LSST survey area providing high-resolution imaging for >95% ofthe LSST Year 10 gold galaxy sample. We explore a second, more ambitiousscenario where WFIRST spends 1.5 years covering the LSST area. For this secondscenario we quantify the constraining power on dark energy equation of stateparameters from a joint weak lensing and galaxy clustering analysis, andcompare it to an LSST-only survey and to the Reference WFIRST HLS survey. Oursurvey simulations are based on the WFIRST exposure time calculator andredshift distributions from the CANDELS catalog. Our statistical uncertaintiesaccount for higher-order correlations of the density field, and we include awide range of systematic effects, such as uncertainties in shape and redshiftmeasurements, and modeling uncertainties of astrophysical systematics, such asgalaxy bias, intrinsic galaxy alignment, and baryonic physics. Assuming the5-month WFIRST wide scenario, we find a significant increase in constrainingpower for the joint LSST+WFIRST wide survey compared to LSST Y10 (FoM(Wwide)=2.4 FoM(LSST)) and compared to LSST+WFIRST HLS (FoM(Wwide)= 5.5 FoM(HLS)).[Journal_ref: ]
• Eifler, T., Simet, M., Krause, E., Hirata, C., Huang, H., Fang, X., Miranda, V., Mandelbaum, R., Doux, C., Heinrich, C., Huff, E., Miyatake, H., Hemmati, S., Xu, J., Rogozenski, P., Capak, P., Choi, A., Dor{'e}, O., Jain, B., , Jarvis, M., et al. (2021). "Cosmology with the Roman Space Telescope - synergies with the Rubin Observatory Legacy Survey of Space and Time". mnras.
• Grandis, S., Mohr, J., Costanzi, M., Saro, A., Bocquet, S., Klein, M., Aguena, M., Allam, S., Annis, J., Ansarinejad, B., Bacon, D., Bertin, E., Bleem, L., Brooks, D., Burke, D., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Castander, F., , Choi, A., et al. (2021). "Exploring the contamination of the DES-Y1 Cluster Sample with SPT-SZ selected clusters". mnras.
• Huang}, H., Eifler, T., Mandelbaum, R., Bernstein, G. M., Chen, A., Choi, A., Garc{'ia-Bellido}, J., Huterer, D., Krause, E., Rozo, E., Singh, S., Bridle, S., DeRose, J., Elvin-Poole, J., Fang, X., Friedrich, O., Gatti, M., Gaztanaga, E., Gruen, D., , Hartley, W., et al. (2021). "Dark energy survey year 1 results: Constraining baryonic physics in the Universe". mnras, 502(4), 6010-6031.
• Liao, W., Chen, Y., Liu, X., Holgado, A. M., Guo, H., Gruendl, R., Morganson, E., Shen, Y., Davis, T., Kessler, R., Martini, P., McMahon, R. G., Allam, S., Annis, J., Avila, S., Banerji, M., Bechtol, K., Bertin, E., Brooks, D., , Buckley-Geer, E., et al. (2021). "Discovery of a candidate binary supermassive black hole in a periodic quasar from circumbinary accretion variability". mnras, 500(3), 4025-4041.
• Marshall, J., Hansen, T., Simon, J., Li, T., Bernstein, R., Kuehn, K., Pace, A., Depoy, D., Palmese, A., Pieres, A., Strigari, L., Drlica-Wagner, A. .., Bechtol, K., Lidman, C., Nagasawa, D., Bertin, E., Brooks, D., Buckley-Geer, E. .., Burke, D., , Rosell, A., et al. (2021). "VizieR Online Data Catalog: Abundances of 4 member stars of Tucana III (Marshall+, 2019)". VizieR Online Data Catalog, J/ApJ/882/177.
• Penton, A., Malik, U., Davis, T., Martini, P., Yu, Z., Sharp, R., Lidman, C., Tucker, B. E., Hoormann, J., Aguena, M., Allam, S., Annis, J., Asorey, J., Bacon, D., Bertin, E., Bhargava, S., Brooks, D., Calcino, J., Carnero, R. A., , Carollo, D., et al. (2021). "OzDES Reverberation Mapping Program: Lag recovery reliability for 6-year CIV analysis". arXiv e-prints, arXiv:2101.06921.
• Porredon}, A., Crocce, M., Fosalba, P., Elvin-Poole, J. .., Carnero Rosell, A., Cawthon, R., Eifler, T., Fang, X., Ferrero, I., Krause, E., MacCrann, N., Weaverdyck, N., Abbott, T., Aguena, M., Allam, S., Amon, A., Avila, S., Bacon, D., Bertin, E., , Bhargava, S., et al. (2021). "Dark Energy Survey Year 3 results: Optimizing the lens sample in a combined galaxy clustering and galaxy-galaxy lensing analysis". prd, 103(4), 043503.
• Romualdez, L. J., Benton, S. J., Brown, A. M., Clark, P., Damaren, C. J., Eifler, T., Fraisse, A. A., Galloway, M. N., Gill, A., Hartley, J. W., Holder, B., Huff, E. M., Jauzac, M., Jones, W. C., Lagattuta, D., Leung, J., Li, L., Luu, T., Massey, R. J., , McCleary, J., et al. (2021). "Publisher's Note: ``Robust diffraction-limited near-infrared-to-near-ultraviolet wide-field imaging from stratospheric balloon-borne Platforms{textemdashSuper-pressure Balloon-borne Imaging Telescope performance'' [Rev. Sci. Instrum. 91, 034501 (2020)]}". Review of Scientific Instruments, 92(1), 019901.
• Tanoglidis}, D., Drlica-Wagner, A. .., Wei, K., Li, T., S{'anchez}, J., Zhang, Y., Peter, A., Feldmeier-Krause, A. .., Prat, J., Casey, K., Palmese, A., S{'anchez}, C., DeRose, J., Conselice, C., Gagnon, L., Abbott, T., Aguena, M., Allam, S., Avila, S., , Bechtol, K., et al. (2021). "Shadows in the Dark: Low-surface-brightness Galaxies Discovered in the Dark Energy Survey". apjs, 252(2), 18.
• To}, C., Krause, E., Rozo, E., Wu, H., Gruen, D., DeRose, J., Rykoff, E., Wechsler, R. H., Becker, M., Costanzi, M., Eifler, T., Silva, P., Kokron, N., & Collaboration, {. (2021). "Combination of cluster number counts and two-point correlations: validation on mock Dark Energy Survey". mnras, 502(3), 4093-4111.
• Vielzeuf}, P., Kov{'acs}, A., Demirbozan, U., Fosalba, P., Baxter, E., Hamaus, N., Huterer, D., Miquel, R., Nadathur, S., Pollina, G., S{'anchez}, C., Whiteway, L., Abbott, T., Allam, S., Annis, J., Avila, S., Brooks, D., Burke, D., Carnero Rosell, A., , Carrasco Kind, M., et al. (2021). "Dark Energy Survey Year 1 results: the lensing imprint of cosmic voids on the cosmic microwave background". mnras, 500(1), 464-480.
• , X. F., , E. K., , T. E., & , N. M. (2020). Beyond Limber: Efficient computation of angular power spectra for galaxy clustering and weak lensing. JCAP.
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  Angular two-point statistics of large-scale structure observables areimportant cosmological probes. To reach the high accuracy required by thestatistical precision of future surveys, some of these statistics may need tobe computed without the commonly employed Limber approximation; the exactcomputation however requires integration over Bessel functions, and abrute-force evaluation is slow to converge. We present a new method based onour generalized FFTLog algorithm for the efficient computation of angular powerspectra beyond the Limber approximation. The new method significantlysimplifies the calculation and improves the numerical speed and stability. Itis easily extended to handle integrals involving derivatives of Besselfunctions, making it equally applicable to numerically more challenging casessuch as contributions from redshift-space distortions and Doppler effects. Weimplement our method for galaxy clustering and galaxy-galaxy lensing powerspectra. We find that using the Limber approximation for galaxy clustering infuture analyses like LSST Year 1 and DES Year 6 may cause significant biases incosmological parameters, indicating that going beyond the Limber approximationis necessary for these analyses.[Journal_ref: JCAP05(2020)010]
• , X. F., , T. E., & , E. K. (2020). 2D-FFTLog: Efficient computation of real space covariance matrices for galaxy clustering and weak lensing.
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  Accurate covariance matrices for two-point functions are critical forinferring cosmological parameters in likelihood analyses of large-scalestructure surveys. Among various approaches to obtaining the covariance,analytic computation is much faster and less noisy than estimation from data orsimulations. However, the transform of covariances from Fourier space to realspace involves integrals with two Bessel integrals, which are numerically slowand easily affected by numerical uncertainties. Inaccurate covariances may leadto significant errors in the inference of the cosmological parameters. In thispaper, we introduce a 2D-FFTLog algorithm for efficient, accurate andnumerically stable computation of non-Gaussian real space covariances for both3D and projected statistics. The 2D-FFTLog algorithm is easily extended toperform real space bin-averaging. We apply the algorithm to the covariances forgalaxy clustering and weak lensing for a Dark Energy Survey Year 3-like and aRubin Observatory's Legacy Survey of Space and Time Year 1-like survey, anddemonstrate that for both surveys, our algorithm can produce numerically stableangular bin-averaged covariances with the flat sky approximation, which aresufficiently accurate for inferring cosmological parameters. The code CosmoCovfor computing the real space covariances with or without the flat skyapproximation is released along with this paper.[Journal_ref: ]
• Abbott}, T., Aguena, M., Alarcon, A., Allam, S., Allen, S., Annis, J., Avila, S., Bacon, D., Bechtol, K., Bermeo, A., Bernstein, G., Bertin, E., Bhargava, S., Bocquet, S., Brooks, D., Brout, D., Buckley-Geer, E. .., Burke, D., Carnero Rosell, A., , Carrasco Kind, M., et al. (2020). "Dark Energy Survey Year 1 Results: Cosmological constraints from cluster abundances and weak lensing". prd, 102(2), 023509.
• Ammazzalorso, S., Gruen, D., Regis, M., Camera, S., Ando, S., Fornengo, N., Bechtol, K., Bridle, S., Choi, A., Eifler, T., Gatti, M., MacCrann, N., Omori, Y., Samuroff, S., Sheldon, E., Troxel, M., Zuntz, J., Carrasco Kind, M., Annis, J., , Avila, S., et al. (2020). "Detection of Cross-Correlation between Gravitational Lensing and {ensuremath{gamma} Rays}". prl, 124(10), 101102.
• Battaglia, N., Benson, A., Eifler, T., Hearin, A., Heitmann, K., Ho, S., Kiessling, A., Lukic, Z., Schneider, M., Sellentin, E., & Stadel, J. (2020). "Report from the Tri-Agency Cosmological Simulation Task Force". arXiv e-prints, arXiv:2005.07281.
• Bleem, L., Bocquet, S., Stalder, B., Gladders, M., Ade, P., Allen, S., Anderson, A., Annis, J., Ashby, M., Austermann, J., Avila, S., Avva, J., Bayliss, M., Beall, J., Bechtol, K., Bender, A., Benson, B., Bertin, E., Bianchini, F., , Blake, C., et al. (2020). "The SPTpol Extended Cluster Survey". apjs, 247(1), 25.
• Bleem, L., Bocquet, S., Stalder, B., Gladders, M., Ade, P., Allen, S., Anderson, A., Annis, J., Ashby, M., Austermann, J., Avila, S., Avva, J., Bayliss, M., Beall, J., Bechtol, K., Bender, A., Benson, B., Bertin, E., Bianchini, F., , Blake, C., et al. (2020). "VizieR Online Data Catalog: The SPTpol Extended Cluster Survey (Bleem+, 2020)". VizieR Online Data Catalog, J/ApJS/247/25.
• Brout, D., Scolnic, D., Kessler, R., D'Andrea, C., Davis, T., Gupta, R., Hinton, S., Kim, A., Lasker, J., Lidman, C., Macaulay, E., Moller, A., Nichol, R., Sako, M., Smith, M., Sullivan, M., Zhang, B., Andersen, P., Asorey, J., , Avelino, A., et al. (2020). "VizieR Online Data Catalog: The first 3yrs of DES-SN (DES-SN3YR) (Brout+, 2019)". VizieR Online Data Catalog, J/ApJ/874/150.
• Buckley-Geer}, E., Lin, H., Rusu, C., Poh, J., Palmese, A., Agnello, A., Christensen, L., Frieman, J., Shajib, A., Treu, T., Collett, T., Birrer, S., Anguita, T., Fassnacht, C., Meylan, G., Mukherjee, S., Wong, K., Aguena, M., Allam, S., , Avila, S., et al. (2020). "STRIDES: Spectroscopic and photometric characterization of the environment and effects of mass along the line of sight to the gravitational lenses DES J0408-5354 and WGD 2038-4008". mnras, 498(3), 3241-3274.
• Burke}, C. J., Baldassare, V. F., Liu, X., Foley, R. J., Shen, Y., Palmese, A., Guo, H., Herner, K., Abbott, T. M., Aguena, M., Allam, S., Avila, S., Bertin, E., Brooks, D., Carnero, R. A., Carrasco, K. M., Carretero, J., Costa, L. N., De, V. J., , Desai, S., et al. (2020). "The Curious Case of PHL 293B: A Long-lived Transient in a Metal-poor Blue Compact Dwarf Galaxy". apjl, 894(1), L5.
• Chen, A., Huterer, D., Lee, S., Fert{'e}, A., Weaverdyck, N., Alonso, A. O., Leonard, C. D., MacCrann, N., Raveri, M., Porredon, A., Di, V. E., Muir, J., Lemos, P., Liddle, A., Blazek, J., Campos, A., Cawthon, R., Choi, A., Dodelson, S., , Elvin-Poole, J., et al. (2020). "Constraints on dark matter to dark radiation conversion in the late universe with DES-Y1 and external data". arXiv e-prints, arXiv:2011.04606.
• Drlica-Wagner}, A., Bechtol, K., Mau, S., McNanna, M., Nadler, E., Pace, A., Li, T., Pieres, A., Rozo, E., Simon, J., Walker, A., Wechsler, R., Abbott, T., Allam, S., Annis, J., Bertin, E., Brooks, D., Burke, D., Rosell, A. C., , Carrasco Kind, M., et al. (2020). "Milky Way Satellite Census. I. The Observational Selection Function for Milky Way Satellites in DES Y3 and Pan-STARRS DR1". apj, 893(1), 47.
• Eckert}, K., Bernstein, G., Amara, A., Amon, A., Choi, A., Everett, S., Gruen, D., Gruendl, R., Huff, E., Kuropatkin, N., Roodman, A., Sheldon, E., Yanny, B., Zhang, Y., Abbott, T., Aguena, M., Avila, S., Bechtol, K., Brooks, D., , Burke, D., et al. (2020). "Noise from undetected sources in Dark Energy Survey images". mnras, 497(3), 2529-2539.
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• Treu, T., Agnello, A., Baumer, M., Birrer, S., Buckley-Geer, E., Courbin, F., Kim, Y., Lin, H., Marshall, P., Nord, B., Schechter, P., Sivakumar, P., Abramson, L., Anguita, T., Apostolovski, Y., Auger, M., Chan, J., Chen, G., Collett, T., , Fassnacht, C., et al. (2018). The STRong lensing Insights into the Dark Energy Survey (STRIDES) 2016 follow-up campaign - I. Overview and classification of candidates selected by two techniques. \mnras, 481, 1041-1054.
• Troxel, M., Krause, E., Chang, C., Eifler, T., Friedrich, O., Gruen, D., MacCrann, N., Chen, A., Davis, C., DeRose, J., Dodelson, S., Gatti, M., Hoyle, B., Huterer, D., Jarvis, M., Lacasa, F., Lemos, P., Peiris, H., Prat, J., , Samuroff, S., et al. (2018). Survey geometry and the internal consistency of recent cosmic shear measurements. \mnras, 479, 4998-5004.
• Troxel}, M., MacCrann, N., Zuntz, J., Eifler, T., Krause, E., Dodelson, S., Gruen, D., Blazek, J., Friedrich, O., Samuroff, S., Prat, J., Secco, L., Davis, C., Fert{\'e}, A., DeRose, J., Alarcon, A., Amara, A., Baxter, E., Becker, M., , Bernstein, G., et al. (2018). Dark Energy Survey Year 1 results: Cosmological constraints from cosmic shear. \prd, 98(4), 043528.
• Wang, M., Boer, T., Pieres, A., Li, T., Drlica-Wagner, A. .., Koposov, S., Vivas, A., Pace, A., Santiago, B., Walker, A., Tucker, D., Strigari, L., Marshall, J., Yanny, B., DePoy, D., Bechtol, K., Roodman, A., Abbott, T., Abdalla, F., , Allam, S., et al. (2018). The morphology and structure of stellar populations in the Fornax dwarf spheroidal galaxy from Dark Energy Survey Data. arXiv e-prints.
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Proceedings Publications

• Crill, B. P., Werner, M., Akeson, R., Ashby, M., Bleem, L., Bock, J. J., Bryan, S., Burnham, J., Byunh, J., Chang, T., Chiang, Y., Cook, W., Cooray, A., Davis, A., Dor{'e}, O., Dowell, C. D., Dubois-Felsmann, G., Eifler, T., Faisst, A., , Habib, S., et al. (2020, dec). "SPHEREx: NASA's near-infrared spectrophotometric all-sky survey". In Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, 11443.
• Besla, G., Huppenkothen, D., Lloyd-Ronning, N. .., Schneider, E., Behroozi, P., Burkhart, B., Chan, C., Jacobson, S., Morrison, S., Nam, N., Naoz, S., Peter, A., Ramirez-Ruiz, E. .., Abrahams, E., Bailin, J., Blecha, L., Bostroem, A., Bogdanovi{\'c}, T., Boylan-Kolchin, M. .., , Bellm, E., et al. (2019, sep). Training the Future Generation of Computational Researchers. In \baas, 51.
• Jones, W., Netterfield, C. B., Massey, R., Rhodes, J., Benton, S. J., Brown, A., Clark, P., Damaren, C., Eifler, T., Fraisse, A., Galloway, M., Hartley, J., Holder, B., Huff, E., Jauzac, M., Lagattuta, D., Leung, J., Li, L., Luu, V. y., , McCleary, J., et al. (2019, sep). The Enabling Capabilities of the Super Pressure Balloon Platform: Diffraction-Limited, Wide-field Imaging from the Stratosphere. In \baas, 51.

Others

• Krause, E., & Eifler, T. (2020). "CosmoLike: Cosmological Likelihood analyses".