Carnegie Mellon University

Rachel Mandelbaum


Astrophysics & Cosmology
Wean Hall 8402

lab website 

Prof. Rachel Mandelbaum

Education & Professional Experience

PhD: Princeton University (2006)



Honors and Awards:
Falco-DeBenedetti Career Development Professor (2013)
Alfred P. Sloan Fellow (2013)
DOE Early Career Award (2012)
AAS Annie Jump Cannon Prize (2011)
Hubble Fellow (2006)
Kusaka Memorial Prize, Princeton University (2000)


Indefinite Tenure, Carnegie Mellon University, 2016
Associate Professor, Carnegie Mellon University, 2014–
Assistant Professor, Carnegie Mellon University, 2011–14
Visiting Associate Research Scholar, Princeton University, 2011–12
Post-doctoral Research: Princeton University, 2009–11
Post-doctoral Research: Institute for Advanced Study, 2006–09

Research Interests

My research interests are predominantly in the areas of observational cosmology and galaxy studies.  This work includes the use of weak gravitational lensing and other analysis techniques, with projects that range from development of improved data analysis methods, to actual application of such methods to existing data.  Currently, I am focusing on data from the SDSS (including SDSS-III and the ongoing SDSS-IV) and Hyper-SuprimeCam (HSC), and am working on upcoming surveys including LSST, Euclid, and WFIRST.

Recent Publications

Željko Ivezić et al., LSST: From Science Drivers to Reference Design and Anticipated Data Products, Astrophys. J. 873, 111 (2019)

M.M. Rau, S.E. Koposov, H. Trac, R. Mandelbaum, Calibrating long-period variables as standard candles with machine learning, MNRAS 484, 409 (2019)

Chihway Chang et al., A unified analysis of four cosmic shear surveys, MNRAS 482, 3696 (2018)

M. Costanzi et al., Modelling projection effects in optically selected cluster catalogues, MNRAS 482, 490 (2018)

Rachel Mandelbaum et al., Weak lensing shear calibration with simulations of the HSC survey, MNRAS 481, 3170 (2018)

Rachel Mandelbaum, Weak Lensing for Precision Cosmology, Annual Review of Astronomy and Astrophysics 56, 393 (2018)

C. Danielle Leonard, Rachel Mandelbaum, The LSST Dark Energy Science Collaboration, Measuring the scale dependence of intrinsic alignments using multiple shear estimates, MNRAS 479, 1412 (2018)

Hiroaki Aihara et al., First data release of the Hyper Suprime-Cam Subaru Strategic Program, Publications of the Astronomical Society of Japan, 70, SP1 S8 (2017)

F. Lanusse, Q. Ma, N. Li, T.E. Collett, C.-L. Li, S. Ravanbakhsh, R. Mandelbaum, and B. Poczos, CMU DeepLens: Deep Learning For Automatic Image-based Galaxy-Galaxy Strong Lens Finding. MNRAS 473, 3895 (2017)

Jason Rhodes et al., Scientific Synergy between LSST and EuclidAstrophys. J. Supp. 233, 21 (2017) 

S. Singh, R. Mandelbaum, U. Seljak, A. Slosar, and J. Vazquez Gonzalez, Galaxy-galaxy lensing estimators and their covariance propertiesMNRAS 471, 3827 (2017)

Y. Zu, R. Mandelbaum, M. Simet, E. Rozo, and E.S. Rykoff, On the level of cluster assembly bias in SDSS, MNRAS 470, 551 (2017)

Alexie Leauthaud et al., Lensing is low: cosmology, galaxy formation or new physics? MNRAS 467, 3024 (2017)

More Publications:
ORCID  Researcher ID