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Publications

I’m an author on 70+ publications that have ~2300 citations (h-index~27 as per ADS).
Most of my papers can be found on ADS or Google Scholar. My ORCID is 0000-0001-9298-3523. 

(Co-)lead author or student-led publications

  1. Iyer, K.G., Pacifici, C., Calistro-Rivera, G. & Lovell, C. (2024) The Spectral Energy Distribution of Galaxies (Invited Chapter in the Encyclopedia of Astrophysics, 1st Ed., editor-in-Chief Ilya Mandel, section editor Sean McGee, to be published by Elsevier)

  2. Iyer, K. G., Yunus, M.; O'Neill, C.; Ye, C.; Hyk, A.; McCormick, K., et al. (2024) pathfinder: A Semantic Framework for Literature Review and Knowledge Discovery in Astronomy
    (arXiv:2408.01556; accepted for publication in ApJS)

  3. Mowla, L. A. & Iyer K. G.; Asada Y.; Desprez G.; et al. (2024) The Firefly Sparkle: The Earliest Stages of the Assembly of A Milky Way-type Galaxy in a 600 Myr Old Universe
    (arXiv:2402.08696; accepted for publication in Nature, co-first authors)

  4. Alfonzo, J. P., Iyer, K. G., Akiyama, M.; Bryan G. L.; Cooray, S. et al. (2024) Katachi (形): Decoding the Imprints of Past Star Formation on Present-day Morphology in Galaxies with Interpretable CNNs.
    The Astrophysical Journal 967 (2), 152 (arXiv:2404.05146,)

  5. Iyer, K. G. & Speagle, J. S.; Tacchella, S.; Caplar, N.; Leja, J.; Forbes, J.; & Gawiser, E. (2022). Stochastic Modelling of Star Formation Histories III. Constraints from Physically Motivated Gaussian Processes.
    The Astrophysical Journal 961 (1) 53 (arXiv:2208.05938;, co-first authors)

  6. Lammers, C., Iyer, K. G., Ibarra-Medel, H., Pacifici, C., Sánchez, S. F., Tacchella, S., Woo, J. (2022) AGN Feedback in SDSS-IV MaNGA: AGNs Have Suppressed Central Star-Formation Rates
    The Astrophysical Journal 953 (1), 26 (arXiv:2212.00762)

  7. Shin, E., Tacchella, S., Kim, J., Iyer, K. G., Semenov, V. A. (2022) Star Formation Variability as a Probe for the Baryon Cycle within Galaxies. The Astrophysical Journal 947 61. (arXiv:2211.01922)

  8. Mowla, L. A. & Iyer, K. G., Desprez, G., Estrada-Carpenter, V., Martis, N. S., … & Zabl, J.. (2022). The Sparkler: Evolved High-Redshift Globular Clusters Captured by JWST.
    The Astrophysical Journal Letters, 937(2), p.L35. (arXiv:2208.0223, co-first authors)

  9. Olsen, C., Gawiser, E., Iyer, K., McQuinn, K. B., Johnson, B. D., Telford, G., ... & Kurczynski, P. (2021). Star Formation Histories from Spectral Energy Distributions and Color–Magnitude Diagrams Agree: Evidence for Synchronized Star Formation in Local Volume Dwarf Galaxies over the Past 3 Gyr.
    The Astrophysical Journal, 913(1), 45. (arXiv:2104.06514)

  10. Iyer, K. G., Tacchella, S., Genel, S., Hayward, C. C., Hernquist, L., Brooks, A. M., ... & Starkenburg, T. K. (2020). The diversity and variability of star formation histories in models of galaxy evolution.
    Monthly Notices of the Royal Astronomical Society, 498(1), 430-463. (arXiv:2007.07916)

  11. Iyer, K. G., Gawiser, E., Faber, S. M., Ferguson, H. C., Kartaltepe, J., Koekemoer, A. M., ... & Somerville, R. S. (2019). Nonparametric star formation history reconstruction with gaussian processes. i. counting major episodes of star formation.
    The Astrophysical Journal, 879(2), 116. (arXiv:1901.02877)

  12. Iyer, K., Gawiser, E., Davé, R., Davis, P., Finkelstein, S. L., Kodra, D., ... & Somerville, R. S. (2018). The SFR–M* Correlation Extends to Low Mass at High Redshift.
    The Astrophysical Journal, 866(2), 120. (arXiv:1809.04099)

  13. Iyer, K., & Gawiser, E. (2017). Reconstruction of Galaxy Star Formation Histories through SED Fitting: The Dense Basis Approach.
    The Astrophysical Journal, 838(2), 127. (arXiv:1702.04371)

Significant Contribution

  1. Wan, J. T.; Tacchella, S.; Johnson, B. D.; Iyer, K. G., Speagle, J. S.; Maiolino, R. (2024) Stochastic prior for non-parametric star-formation histories (arXiv:2404.14494, Monthly Notices of the Royal Astronomical Society, 532; no. 4 (2024) 4002-4025)

  2. Savelli, A. M.; Speagle, J. S.; Mackereth, T. J.; Murray, N.; Iyer, K. G. (2024) SF-R You Sure? The Conflicting Role of Star Formation Rates in Constraining the Evolution of Milky Way Analogues in Cosmological Simulations (arXiv: 2410.07244; submitted to ApJ)

  3. Chworowsky, K.; Finkelstein S. L.; Boylan-Kolchin, M.; McGrath, E. J.; Iyer, K. G. et al. (2024) Evidence for a Shallow Evolution in the Volume Densities of Massive Galaxies at z = 4–8 from CEERS (arXiv:2311.14804; The Astronomical Journal, 168(3) 113)

  4. Woo, J.; Walters, D.; Archinuk, F.;, Faber S. M.; Ellison, S. L.; Teimoorinia, H.; Iyer, K. G. (2024) Stellar populations with optical spectra: deep learning versus popular spectrum fitting codes (arXiv:2401.12300; Monthly Notices of the Royal Astronomical Society, Volume 530, Issue 4, pp.4260-4276)

  5. Sarrouh, G. T. E.; Muzzin, A.; Iyer, K. G.; Mowla, L.; Withers, S. et al. (2024) Exposing Line Emission: The Systematic Differences of Measuring Galaxy Stellar Masses with JWST NIRCam Medium versus Wide Band Photometry (arXiv:2401.08781; The Astrophysical Journal Letters, Volume 967 (1) L17)

  6. Ward, E.; de la Vega, A.; Mobasher, B.; McGrath, E. J.; Iyer K. G. et al. (2024) Evolution of the Size–Mass Relation of Star-forming Galaxies Since z = 5.5 Revealed by CEERS (arXiv:2311.02162; The Astrophysical Journal 962 (2) 176)

  7. Bradač M.; Strait, V.; Mowla, L.; Iyer K. G.; Noirot G. et al. (2024) Star Formation at the Epoch of Reionization with CANUCS: The Ages of Stellar Populations in MACS1149-JD1 (arXiv:2308.13288; The Astrophysical Journal Letters 961 (1) L21)

  8. Cole, J. W.; Papovich, C.; Finkelstein S. L.; Bagley, M. B.; Dickinson, M.; Iyer, K. G. et al. (2024) CEERS: Increasing Scatter along the Star-Forming Main Sequence Indicates Early Galaxies Form in Bursts (arXiv:2312.10152; submitted to ApJ)

  9. Pandya, V; Zhang, H.; Huertas-Company, M.; Iyer, K. G., ... & Yung, L. Y. A (2023) Galaxies Going Bananas: Inferring the 3D Geometry of High-Redshift Galaxies with JWST-CEERS (arXiv:2310.15232; The Astrophysical Journal, 963 (1), 54)

  10. Huertas-Company, M.; Iyer, K. G., Angeloudi, E., Bagley, M. B., … & Koekemoer, A. M. (2023), Galaxy Morphology from  z∼6  through the eyes of JWST (arXiv:2305.02478; submitted to A&A)

  11. Pacifici, C., Iyer, K. G., Mobasher, B., da Cunha, E., Acquviva, V., … Weston, M. (2022), The Art of Measuring Physical Parameters in Galaxies: A Critical Assessment of Spectral Energy Distribution Fitting Techniques (arXiv:2212.01915, The Astrophysical Journal 944 (2), 141)

  12. Broussard, A., Gawiser, E., Iyer, K. (2022) Improved Measurements of Galaxy Star Formation Stochasticity from the Intrinsic Scatter of Burst Indicators. (arXiv:2311.14804; The Astrophysical Journal 939 (1), 35)

  13. Noirot, G., Sawicki, M., Abraham, R., Bradac, M., Iyer, K., Moutard, T., Pacifici, C., Ravindranath, S., Willott, C. (2021) Across the Green Valley with HST grisms: Color evolution, crossing timescales and the growth of the red-sequence at z = 1.0 − 1.8
    Monthly Notices of the Royal Astronomical Society 512, no. 3 (2022): 3566-3588.

  14. Lovell, C. C., Acquaviva, V., Thomas, P. A., Iyer, K. G., Gawiser, E., & Wilkins, S. M. (2019). Learning the relationship between galaxies spectra and their star formation histories using convolutional neural networks and cosmological simulations.
    Monthly Notices of the Royal Astronomical Society, 490(4), 5503-5520.

  15. Broussard, A., Gawiser, E., Iyer, K., Kurczynski, P., Somerville, R. S., Davé, R., ... & Pacifici, C. (2019). Star Formation Stochasticity Measured from the Distribution of Burst Indicators. The Astrophysical Journal, 873(1), 74.

Contributing Author

  1. Tan et al. (2024) Resolved mass assembly and star formation in Milky Way Progenitors since z=5 from JWST/CANUCS: From clumps and mergers to well-ordered disks (arXiv: 2412.07829; submitted to ApJ)
  2. Tripodi et al. (2024) Red, hot, and very metal poor: extreme properties of a massive accreting black hole in the first 500 Myr (arXiv:2412.04983; submitted to Nature)
  3. The Multimodal Universe Collaboration et al. (2024) The Multimodal Universe: Enabling Large-Scale Machine Learning with 100TB of Astronomical Scientific Data (arXiv: 2412.02527, Accepted at NeurIPS 2024; Datasets and Benchmarks track)

  4. Lovell et al. (2024) Learning the Universe: Cosmological and Astrophysical Parameter Inference with Galaxy Luminosity Functions and Colours (arXiv: 2411.13960; Submitted to MNRAS)

  5. Zaidi et al. (2024) The FENIKS Survey: Stellar-Halo Mass Relationship of Central and Satellite Galaxies in UDS and COSMOS at 0.2 < z < 4.5 (arXiv:2411.04256; Submitted to ApJ)

  6. Asada et al. (2024) Improving photometric redshifts of Epoch of Reionization galaxies: a new transmission curve with the neutral hydrogen damped Lyα  absorption (arXiv:2410.21543; submitted to ApJL)

  7. Mehta et al. (2024) UVCANDELS: Catalogs of photometric redshifts and galaxy physical properties (arXiv:2410.16404; ApJS Volume 275, Issue 1, id.17, 16 pp.)

  8. Sun et al. (2024) The Ultraviolet Luminosity Function at 0.6 < z < 1 from UVCANDELS ( arXiv:2311.15664; ApJ (1), Volume 972, Issue 1, id.8, 14 pp.)

  9. Guo et al. (2024) The Abundance and Properties of Barred Galaxies out to z∼z∼ 4 Using JWSTJWST CEERS Data. (arXiv:2409.06100; submitted to ApJ)

  10. Rose et al. (2024) CEERS Key Paper. IX. Identifying Galaxy Mergers in CEERS NIRCam Images Using Random Forests and Convolutional Neural Networks (arXiv:2407.21279; ApJL Volume 976, Issue 1, id.L8, 19 pp.)

  11. Harshan et al. (2024) CANUCS: UV and ionizing properties of dwarf star-forming galaxies at z 5-7 (arXiv:2406.17128, accepted in MNRAS)

  12. Desprez et al. (2023). CDM not dead yet: massive high-z Balmer break galaxies are less common than previously reported (arXiv:2310.03063; Monthly Notices of the Royal Astronomical Society, Volume 530, Issue 3, pp.2935-2952)

  13. Finkelstein et al. (2024) The Complete CEERS Early Universe Galaxy Sample: A Surprisingly Slow Evolution of the Space Density of Bright Galaxies at z ∼ 8.5–14.5 (arXiv:2311.04279; The Astrophysical Journal Letters 969 L2)

  14. Zaidi et al. (2024) The FENIKS Survey: Multiwavelength Photometric Catalog in the UDS Field, and Catalogs of Photometric Redshifts and Stellar Population Properties (arXiv:2401.03107; The Astrophysical Journal 969 (2), 84)

  15. Rihtaršič et al. (2024) CANUCS: Constraining the MACS J0416.1-2403 Strong Lensing Model with JWST NIRISS, NIRSpec and NIRCam (arXiv:2406.10332; submitted to A&A)

  16. Estrada-Carpenter et al. (2024) When, where, and how star formation happens in a galaxy pair at cosmic noon using CANUCS JWST/NIRISS grism spectroscopy (arXiv:2406.15551; accepted in MNRAS)

  17. Wu et al (2024) Designing an Evaluation Framework for Large Language Models in Astronomy Research (arXiv:2405.20389)

  18. Willott et al. (2024) A Steep Decline in the Galaxy Space Density beyond Redshift 9 in the CANUCS UV Luminosity Function (arXiv:2311.12234; The Astrophysical Journal 966 (1) 74)

  19. Asada et al. (2023). Bursty star formation and galaxy-galaxy interactions in low-mass galaxies 1 Gyr after the Big Bang (arXiv:2310.02314; submitted to MNRAS)

  20. Noirot et al. (2022). The first large catalogue of spectroscopic redshifts in Webb's First Deep Field, SMACS J0723.3 − 7327 (arXiv:2212.07366; Monthly Notices of the Royal Astronomical Society, stad1019)

  21. Dung et al. (2023). AstroLLaMA: Towards Specialized Foundation Models in Astronomy (arXiv:2309.06126; accepted to IJCNLP-AACL 2023)

  22. Bradač. et al. (2023). Star Formation at the Epoch of Reionization with CANUCS: The ages of stellar populations in MACS1149-JD1 (arXiv:2308.13288; submitted to ApJL)

  23. Wang et al. (2023). The Lyman Continuum Escape Fraction of Star-forming Galaxies at from UVCANDELS (arXiv:2308.09064; Submitted to ApJ)

  24. Mehta et al. (2022). A spatially resolved analysis of star-formation burstiness by comparing UV and H in galaxies at z~1 with UVCANDELS. (arXiv:2211.02056; The Astrophysical Journal 952 (2), 133)

  25. Lovell et al. (2023). A Hierarchy of Normalizing Flows for Modelling the Galaxy–Halo Relationship (arXiv:2307.06967; Accepted to ICML ML4Astro Workshop)

  26. Asada et al. (2022). JWST catches the assembly of a z∼5 ultra-low-mass galaxy (arXiv:2212.07540; Monthly Notices of the Royal Astronomical Society: Letters 523 (1), L40-L45)

  27. Ciucă, I., Ting, Y-S., Kruk, S., Iyer, K. (2023) Harnessing the Power of Adversarial Prompting and Large Language Models for Robust Hypothesis Generation in Astronomy (arXiv:2306.11648; Accepted to ICML ML4Astro Workshop)

  28. Narayanan et al. (2023) Outshining by Recent Star Formation Prevents the Accurate Measurement of High-z Galaxy Stellar Masses (arXiv:2306.10118; Submitted to ApJL)

  29. Fujimoto et al. (2023) CEERS Spectroscopic Confirmation of NIRCam-Selected z > 8 Galaxy Candidates with JWST/NIRSpec: Initial Characterization of their Properties (arXiv:2301.09482; Accepted in ApJL focus issue; The Astrophysical Journal Letters 949 (2), L25)

  30. Strait et al. (2023) An extremely compact, low-mass post-starburst galaxy at z=5.2 (arXiv:2303.11349; The Astrophysical Journal Letters 949 (2), L23)

  31. Withers et al. (2023) Spectroscopy from Photometry: A Population of Extreme Emission Line Galaxies at 1.7≲z≲6.7 Selected with JWST Medium Band Filters (arXiv:2304.11181; Submitted to ApJL)

  32. Kocevski et al. (2022). CEERS Key Paper II: The Resolved Host Properties of AGN at 3< z< 5 with JWST (arXiv:2208.14480; The Astrophysical Journal Letters 946 (1), L14)

  33. Kartaltepe et al. (2022) CEERS Key Paper III: The Diversity of Galaxy Structure and Morphology at z= 3-9 with JWST. (arXiv:2210.14713, The Astrophysical Journal Letters 946 (1), L15)

  34. Abdurro'uf et al. (2023) Spatially Resolved Stellar Populations of 0.3<z<6.0 Galaxies in WHL0137-08 and MACS0647+70 Clusters as Revealed by JWST: How do Galaxies Grow and Quench Over Cosmic Time? (arXiv:2301.02209; The Astrophysical Journal 945 (2), 117)

  35. Kodra et al. (2022). Optimized Photometric Redshifts for the Cosmic Assembly Near- Infrared Deep Extragalactic Legacy Survey (CANDELS). (arXiv:2210.01140, The Astrophysical Journal 942 (1), 36)

  36. Zavala et al. (2022). Dusty starbursts masquerading as ultra-high redshift galaxies in JWST CEERS observations. (arXiv:2208.01816; The Astrophysical journal letters 943 (2), L9)

  37. Finkelstein et al. (2022). A Long Time Ago in a Galaxy Far, Far Away: A Candidate z ~ 14 Galaxy in Early JWST CEERS Imaging (arXiv:2207.12474; The Astrophysical journal letters 940 (2), L55)

  38. Mowla et al. (2022). 3D-DASH: The Widest Near-Infrared Hubble Space Telescope Survey. arXiv preprint arXiv:2206.01156. The Astrophysical Journal 933 (2), 129

  39. Willott et al. (2022). The Near-infrared Imager and Slitless Spectrograph for the James Webb Space Telescope. II. Wide Field Slitless Spectroscopy. Publications of the Astronomical Society of the Pacific, 134(1032), 025002.

  40. Zuntz et al. (2021). The LSST-DESC 3x2pt Tomography Optimization Challenge. arXiv preprint arXiv:2108.13418. (accepted for publication in the Open Journal of Astrophysics)

  41. Hahn et al. (2021). IQ Collaboratory III: The Empirical Dust Attenuation Framework--Taking Hydrodynamical Simulations with a Grain of Dust. arXiv:2106.09741. The Astrophysical Journal 926 (2), 122

  42. Dickey et al. (2021). IQ Collaboratory. II. The Quiescent Fraction of Isolated, Low-mass Galaxies across Simulations and Observations. The Astrophysical Journal, 915(1), p.53.

  43. Schmidt et al. (2020). Evaluation of probabilistic photometric redshift estimation approaches for The Rubin Observatory Legacy Survey of Space and Time (LSST). Monthly Notices of the Royal Astronomical Society, 499(2), 1587-1606.