Publications

2021
Rashkovetskyi M, Muñoz JB, Eisenstein DJ, Dvorkin C. Small-scale clumping at recombination and the Hubble tension. Physical Review D. 2021;104 (10) :103517.
Leroy M, Garrison L, Eisenstein D, Joyce M, Maleubre S. Testing dark matter halo properties using self-similarity. MNRAS. 2021;501 (4) :5064-5072.
2020
Dvorkin C, Ferraro S, Flauger R, Green D, White M. Snowmass2021-Letter of Interest Large-Scale Structure at high redshift: a probe of fundamental physics. 2020.
Bean R, Borrill J, Carlstrom J, Dawson K, Eisenstein D, Jain B. Snowmass2021-Letter of Interest Theory and Computing Across LSST, DESI, and CMB-S4. 2020.
Zhou R, Newman JA, Dawson KS, Eisenstein DJ, Brooks DD, Dey A, Dey B, Duan Y, Eftekharzadeh S, Gaztañaga E, et al. Preliminary Target Selection for the DESI Luminous Red Galaxy (LRG) Sample. Research Notes of the AAS. 2020;4 (10) :181.
Yèche C, Palanque-Delabrouille N, Claveau C-A, Brooks DD, Chaussidon E, Davis TM, Dawson KS, Dey A, Duan Y, Eftekharzadeh S, et al. Preliminary Target Selection for the DESI Quasar (QSO) Sample. Research Notes of the AAS. 2020;4 (10) :179.
Bagley MB, Scarlata C, Mehta V, Teplitz H, Baronchelli I, Eisenstein DJ, Pozzetti L, Cimatti A, Rutkowski M, Wang Y, et al. HST Grism-derived Forecasts for Future Galaxy Redshift Surveys. The Astrophysical Journal. 2020;897 (1) :98.
Raichoor A, Eisenstein DJ, Karim T, Newman JA, Moustakas J, Brooks DD, Dawson KS, Dey A, Duan Y, Eftekharzadeh S, et al. Preliminary Target Selection for the DESI Emission Line Galaxy (ELG) Sample. Research Notes of the AAS. 2020;4 (10) :180.
Ruiz-Macias O, Zarrouk P, Cole S, Norberg P, Baugh C, Brooks D, Dey A, Duan Y, Eftekharzadeh S, Eisenstein DJ, et al. Preliminary Target Selection for the DESI Bright Galaxy Survey (BGS). Research Notes of the AAS. 2020;4 (10) :187.
Allende Prieto C, Cooper AP, Dey A, Gänsicke BT, Koposov SE, Li T, Manser C, Nidever DL, Rockosi C, Wang M-Y, et al. Preliminary Target Selection for the DESI Milky Way Survey (MWS). Research Notes of the AAS. 2020;4 (10) :188.
Yuan S, Eisenstein DJ, Leauthaud A. Can assembly bias explain the lensing amplitude of the BOSS CMASS sample in a Planck cosmology?. Monthly Notices of the Royal Astronomical Society. 2020;493 (4) :5551–5564.
Philcox OHE, Eisenstein DJ, O’Connell R, Wiegand A. rascalc: a jackknife approach to estimating single-and multitracer galaxy covariance matrices. Monthly Notices of the Royal Astronomical Society. 2020;491 (3) :3290–3317.
Karim T, Lee JH, Eisenstein DJ, Burtin E, Moustakas J, Raichoor A, Yèche C. Validation of emission-line galaxies target selection algorithms for the Dark Energy Spectroscopic Instrument using the MMT Binospec. Monthly Notices of the Royal Astronomical Society. 2020;497 (4) :4587–4601.
Philcox OHE, Eisenstein DJ. Computing the small-scale galaxy power spectrum and bispectrum in configuration space. Monthly Notices of the Royal Astronomical Society. 2020;492 (1) :1214–1242.
Salcedo AN, Wibking BD, Weinberg DH, Wu H-Y, Ferrer D, Eisenstein D, Pinto P. Cosmology with stacked cluster weak lensing and cluster–galaxy cross-correlations. Monthly Notices of the Royal Astronomical Society. 2020;491 (3) :3061–3081.
Ntampaka M, Eisenstein DJ, Yuan S, Garrison LH. A Hybrid Deep Learning Approach to Cosmological Constraints from Galaxy Redshift Surveys. The Astrophysical Journal. 2020;889 (2) :151.
Wibking BD, Weinberg DH, Salcedo AN, Wu H-Y, Singh S, Rodr{\'ıguez-Torres S, Garrison LH, Eisenstein DJ. Cosmology with galaxy–galaxy lensing on non-perturbative scales: emulation method and application to BOSS LOWZ. Monthly Notices of the Royal Astronomical Society. 2020;492 (2) :2872–2896.
Hadzhiyska B, Bose S, Eisenstein D, Hernquist L, Spergel DN. Limitations to the ‘basic’HOD model and beyond. Monthly Notices of the Royal Astronomical Society. 2020;493 (4) :5506–5519.
2019
Wilson JC, Hearty FR, Skrutskie MF, Majewski SR, Holtzman JA, Eisenstein D, Gunn J, Blank B, Henderson C, Smee S, et al. The Apache Point Observatory Galactic Evolution Experiment (APOGEE) Spectrographs. Publications of the Astronomical Society of the Pacific. 2019;131 :055001. Publisher's VersionAbstract
We describe the design and performance of the near-infrared (1.51-1.70μm), fiber-fed, multi-object (300 fibers), high resolution (R = λ/∆λ ̃22,500) spectrograph built for the Apache Point Observatory GalacticEvolution Experiment (APOGEE). APOGEE is a survey of ̃105 redgiant stars that systematically sampled all Milky Way populations(bulge, disk, and halo) to study the Galaxy’s chemical and kinematicalhistory. It was part of the Sloan Digital Sky Survey III (SDSS-III) from2011 to 2014 using the 2.5 m Sloan Foundation Telescope at Apache PointObservatory, New Mexico. The APOGEE-2 survey is now using thespectrograph as part of SDSS-IV, as well as a second spectrograph, aclose copy of the first, operating at the 2.5 m du Pont Telescope at LasCampanas Observatory in Chile. Although several fiber-fed, multi-object,high resolution spectrographs have been built for visual wavelengthspectroscopy, the APOGEE spectrograph is one of the first suchinstruments built for observations in the near-infrared. Theinstrument’s successful development was enabled by several keyinnovations, including a “gang connector” to allow simultaneousconnections of 300 fibers; hermetically sealed feedthroughs to allowfibers to pass through the cryostat wall continuously; the firstcryogenically deployed mosaic volume phase holographic grating; and alarge refractive camera that includes mono-crystalline silicon and fusedsilica elements with diameters as large as ̃400 mm. This paper containsa comprehensive description of all aspects of the instrument includingthe fiber system, optics and opto-mechanics, detector arrays, mechanicsand cryogenics, instrument control, calibration system, opticalperformance and stability, lessons learned, and design changes for thesecond instrument.
Hada R, Eisenstein DJ. Application of the iterative reconstruction to simulated galaxy fields. Monthly Notices of the Royal Astronomical Society. 2019;482 :5685-5693. Publisher's VersionAbstract
We apply an iterative reconstruction method to galaxy mocks in redshiftspace obtained from N-body simulations. Comparing the two-pointcorrelation functions for the reconstructed density field, we find thatalthough the performance is limited by shot noise and galaxy biascompared to the matter field, the iterative method can still reconstructthe initial linear density field from the galaxy field better than thestandard method both in real and in redshift space. Furthermore, theiterative method is able to reconstruct both the monopole and quadrupolemore precisely, unlike the standard method. We see that as the numberdensity of galaxies gets smaller, the performance of reconstruction getsworse due to the sparseness. However, the precision in the determinationof bias ({̃ }20{{ per cent}}) hardly impacts on the reconstructionprocesses.

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