Some statistics: (Total citations : 340), (H-Index : 9) You can find more publication metrics here.
The data and codes which are not publicly releaased might be available upon request.
In prepration (papers with substantial contribution)
Farahi, A., Mulroy, S., Evrard, A.E., Smith, G., et al.; LoCuSS: The first measurment of gas and stellar property covariance, TBD, in preperation. TBD
Mulroy, S., Farahi, A., Evrard, A.E., Smith, G., et al.; LoCuSS: Galaxy Cluster Scaling Relations, TBD, in preperation. TBD
Farahi, A., et al.; Astronomers’ and Physicists’ Attitudes Towards Education & Public Outreach: A Case Study with The Dark Energy Survey, TBD, in preperation.
Mayers, J., Romer, K., Farahi, A., et al.; Correlations between X-ray properties and Black Hole Mass in AGN: towards a new method to estimate black hole mass from short exposure X-ray observations, MNRAS, submitted. ADS
Farahi, A., Stroud, J.; The Michigan Data Science Team: A Data Science Education Program with Significant Social Impact, DSW-2018, submitted. TBD
Abernethy, J.D., Chojnacki, A., Farahi A., Schwartz, E.M., Webb, J.A.; ActiveRemediation: The Search for Lead Pipes in Flint, Michigan, KDD-2018, submitted. TBD
DES Collaboration (including Farahi, Arya); The Dark Energy Survey Data Release 1, The Astrophysical Journal, link.
Farahi, A. et al.; Localized massive halo properties in BAHAMAS and MACSIS simulations: scalings, log-normality, and covariance, Monthly Notices of the Royal Astronomical Society, submitted. ADS
Farahi, A. et al.; The XXL Survey. XXIII. The Mass Scale of XXL Clusters from Ensemble Spectroscopy, Astronomy and Astrophysics, Accepted. ADS
Valotti, A.; Pierre, M.; Farahi, A.; Evrard, A.; Faccioli, L.; Sauvageot, J.-L.; Clerc, N.; Pacaud, F.; The cosmological analysis of X-ray cluster surveys: IV. Testing ASpiX with template-based cosmological simulations, Astronomy and Astrophysics, submitted. ADS
Refereed Journal Publications
Pierre, M. et al. (including Farahi, Arya); The XXL survey: First results and future, Astronomische Nachrichten, 2017. ADS
Farahi, Arya; Evrard, August E.; Rozo, Eduardo; Rykoff, Eli S.; Wechsler, Risa H.; Galaxy cluster mass estimation from stacked spectroscopic analysis, Monthly Notices of the Royal Astronomical Society, 2016. ADS
A. Farahi, A. E. Evrard, E. Rozo, E. S. Rykoff, R. H.Wechsler, Galaxy cluster mass estimation from stacked spectroscopic analysis, Monthly Notices of the Royal Astronomical Society 460, 3900 (2016). ADS
D. Arean, A. Farahi, L. A. Pando Zayas, I. Salazar Landea, A. Scardicchio, Holographic p-wave superconductor with disorder, Journal of High Energy Physics 2015, 46 (2015). ADS
A. E. Evrard, P. Arnault, D. Huterer, A. Farahi, A model for multiproperty galaxy cluster statistics, Monthly Notices of the Royal Astronomical Society 441, 3562 (2014). ADS
A. Farahi, L. A. Pando Zayas, Gravitational collapse, chaos in CFT correlators and the information paradox, Physics Letters B 734, 31 (2014). ADS
D. Arean, A. Farahi, L. A. Pando Zayas, I. S. Landea, A. Scardicchio, Holographic superconductor with disorder, Physical Review D 89, 106003 (2014). ADS
A. Farahi; A. J. Benson, Excursion set theory for correlated random walks, Monthly Notices of the Royal Astronomical Society 433, 3428 (2013). ADS
A. J. Benson, A. Farahi, S. Cole, L. A. Moustakas, A. Jenkins, M. Lovell, R. Kennedy, J. Helly, C. Frenk, Dark matter halo merger histories beyond cold dark matter - I. Methods and application to warm dark matter, Monthly Notices of the Royal Astronomical Society 428, 1774 (2013). ADS
Conference & Workshop Contributions
Stroud, Jonathan; Farahi, Arya; Machine Learning Challenges as a Platform for Data Science Education and Public Service, Machine Learning Challenges as a Research Tool, NIPS Workshops, 2017, link. [extended abstract submission]
Cell, Allie et al. (including Farahi, Arya); Understanding Blight Ticket Compliance in Detroit, Chicago Data Science for Social Goode, 2017, link. [paper submission]
Gardner, Josh; Koutra, Danai; Mroueh, Jawad; Pang, Victor; Farahi, Arya; Krassenstein, Sam; Webb, Jared; Driving with Data: Modeling and Forecasting Vehicle Fleet Maintenance in Detroit, Chicago Data Science for Social Goode, 2017, link. [paper submission]
Farahi, Arya; Mulroy, Sarah; Evrard, August E.; Smith, Graham; Closed Box Nature of Galaxy Clusters through Multi-wavelength Analysis, American Astronomical Society, HEAD meeting #16, 2017, link. [abstract submission]
Chojnacki, Alex; Dai, Chengyu; Farahi, Arya; Shi, Guangsha; Webb, Jared; Zhang, Daniel T.; Abernethy, Jacob; Schwartz, Eric; A Data Science Approach to Understanding Residential Water Contamination in Flint, Applied Data Science track paper at KDD, 2017, link. [paper submission]
Abernethy, Jacob et al. (including Farahi, Arya); Flint Water Crisis: Data-Driven Risk Assessment Via Residential Water Testing, Bloomberg Data for Good Exchange, 2016, link. [paper submission]