Publication type: Non-refereed

  • Publication
    Constraints on the Anomalous Microwave emission with WMAP and Cosmosomas
    The anomalous microwave emission (AME) is a dust-correlated signal that shows up in the microwave range. Strong interest in this emission has arisen since its...
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    Constraints on the effects of reionization in the star formation history of dwarf galaxies: conclusions from the LCID project
    Not Available
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    Constraints on the Effects of Reionization in the Star Formation History of Dwarf Galaxies: Some Conclusions from the LCID Project
    In the context of the Local Cosmology from Isolated Dwarfs (LCID) project, we present detailed star formation and chemical enrichment histories for six isolated...
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    Constraints on the polarization of the anomalous microwave emission inthe Perseus molecular complex from 7-year WMAP data
    We have used the seven year Wilkinson Microwave Anisotropy Probe (WMAP) data in order to update the measurements of the intensity signal in the G159.6-18.5...
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    Constraints on the Surface Composition of Comet 28P/Neujmin 1
    Jupiter family comets, Centaurs and Transneptunian Objects (TNOs) are three populations of minor solar system objects that are believed to be closely related...
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    Constraints on theories of galaxy formation from measurements of fluctuations in the CMB
    Current observational constraints on anisotropies in the cosmic microwave background (CMB) and on the clustering of galaxies have considerably narrowed the...
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    Constraints on X-ray polarization of synchrotron jets from stellar-mass BHs
    Synchrotron emission from relativistic jets can be highly polarized. I demonstrate that the polarimetric signature of jets in X-ray binaries is detected in the...
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    Constraints on X-ray polarization of synchrotron jets from stellar-mass BHs
    For most black hole X-ray binaries, the fraction of X-ray flux originating in the synchrotron jets is generally thought to be low in the hard state. However in...
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    Constructing the Largest Galaxy Morphological Catalogue with Supervised Deep Learning ... with No Training Sample!
    Galaxies exhibit a wide variety of morphologies which contain valuable information about their star formation histories. Having large samples of morphologically...