V. Arsenijevic

ORCID: 0000-0002-8740-0706
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About
Contact & Profiles
Research Areas
  • Gamma-ray bursts and supernovae
  • Astronomy and Astrophysical Research
  • Stellar, planetary, and galactic studies
  • Cancer Genomics and Diagnostics
  • Astronomical Observations and Instrumentation
  • Bioinformatics and Genomic Networks
  • Gene expression and cancer classification
  • Astrophysics and Cosmic Phenomena
  • Genetics, Bioinformatics, and Biomedical Research
  • Galaxies: Formation, Evolution, Phenomena
  • Astro and Planetary Science
  • Genomics and Phylogenetic Studies
  • Astrophysics and Star Formation Studies
  • Astrophysical Phenomena and Observations
  • Chromosomal and Genetic Variations
  • Spectroscopy Techniques in Biomedical and Chemical Research
  • Spectroscopy and Chemometric Analyses
  • Market Dynamics and Volatility
  • Genomic variations and chromosomal abnormalities
  • Meat and Animal Product Quality
  • Genetic Mapping and Diversity in Plants and Animals
  • Pulsars and Gravitational Waves Research
  • Single-cell and spatial transcriptomics
  • Medical Imaging and Pathology Studies
  • Neutrino Physics Research

European Research Council
2021

Seven Bridges Genomics (United States)
2015-2019

University of Lisbon
2009-2017

Institute of Astrophysics and Space Sciences
2006-2009

Université Paris Cité
2007

Laboratoire de Physique Nucléaire et de Hautes Énergies
2007

Institut National de Physique Nucléaire et de Physique des Particules
2007

Sorbonne Université
2007

Centre National de la Recherche Scientifique
2007

California Institute of Technology
2007

We present distance measurements to 71 high redshift type Ia supernovae discovered during the first year of 5-year Supernova Legacy Survey (SNLS). These events were detected and their multi-color light-curves measured using MegaPrime/MegaCam instrument at Canada-France-Hawaii Telescope (CFHT), by repeatedly imaging four one-square degree fields in bands, as part CFHT (CFHTLS). Follow-up spectroscopy was performed VLT, Gemini Keck telescopes confirm nature measure redshift. With this data...

10.1051/0004-6361:20054185 article EN Astronomy and Astrophysics 2006-01-27

The Seven Bridges Cancer Genomics Cloud (CGC; www.cancergenomicscloud.org) enables researchers to rapidly access and collaborate on massive public cancer genomic datasets, including Genome Atlas. It provides secure on-demand data, analysis tools, computing resources. Researchers from diverse backgrounds can easily visualize, query, explore datasets visually or programmatically. Data of interest be immediately analyzed in the cloud using more than 200 preinstalled, curated bioinformatics...

10.1158/0008-5472.can-17-0387 article EN Cancer Research 2017-10-31

We use three years of data from the Supernova Legacy Survey (SNLS) to study general properties core-collapse and type Ia supernovae. This is first such using "rolling search" technique which guarantees well-sampled SNLS light curves good efficiency for supernovae brighter than $i^\prime\sim24$. Using host photometric redshifts, we measure supernova absolute magnitude distribution down luminosities $4.5 {\rm mag}$ fainter normal SNIa. spectroscopy light-curve fitting discriminate against...

10.1051/0004-6361/200911847 article EN Astronomy and Astrophysics 2009-04-08

We present a measurement of the distant Type Ia supernova rate derived from first two years Canada -- France Hawaii Telescope Supernova Legacy Survey. observed four one-square degree fields with typical temporal frequency ~ 4 observer-frame days over time spans 158 to 211 per season for each field, breaks during full moon. used 8-10 meter-class telescopes spectroscopic followup confirm our candidates and determine their redshifts. Our starting sample consists 73 spectroscopically verified...

10.1086/505532 article EN The Astronomical Journal 2006-07-24

<i>Aims. <i/>We present 139 spectra of 124 Type Ia supernovae (SNe Ia) that were observed at the ESO/VLT during first three years Canada-France-Hawaï Telescope (CFHT) supernova legacy survey (SNLS). This homogeneous data set is used to test for redshift evolution SN spectra, and will be in SNLS 3rd year cosmological analyses.<i>Methods. <i/>Spectra have been reduced extracted with a dedicated pipeline uses photometric information from deep CFHT (CFHT-LS) reference images trace, sub-pixel...

10.1051/0004-6361/200912246 article EN Astronomy and Astrophysics 2009-08-27

Estimates of interstellar extinction are essential in a broad range astronomical research. In the last decades, several maps and models large scale Galaxy have been published. However, these developed different programming languages, with user interfaces input/output formats, which makes using comparing results from difficult. To address this issue, we tool called GALExtin (\url{http://www.galextin.org}) - that estimates based on both 3D models/maps 2D available. The only needs to provide...

10.1093/mnras/stab2248 article EN Monthly Notices of the Royal Astronomical Society 2021-08-04

Spectroscopic and photometric properties of low high-z supernovae Ia (SNe Ia) have been analyzed in order to achieve a better understanding their diversity identify possible SN sub-types. We use wavelet transformed spectra which one can easily measure spectral features. investigate the Si II 4000 equivalent width (EWw{Si II}). The ability and, especially, ease extending method SNe at is demonstrated. applied 110 found correlations between EWw{Si II} parameters related light-curve shape for...

10.1051/0004-6361:200810675 article EN Astronomy and Astrophysics 2008-10-27

Vista Variables in The Via Lactea (VVV) is an ESO variability survey that performing observations near infrared bands (ZYJHKs) towards the Galactic bulge and part of disk with completeness limits at least 3 mag deeper than 2MASS. In present work, we searched VVV data for background galaxies plane using ZYJHKs photometry covers 1.636 square degrees. We identified 204 new galaxy candidates by analyzing colors, sizes, visual inspection multi-band images. colors were also compared predicted ones...

10.1088/0004-6256/144/5/127 article EN The Astronomical Journal 2012-09-27

Abstract The human reference genome serves as the foundation for genomics by providing a scaffold alignment of sequencing reads, but currently only reflects single consensus haplotype, which impairs read and downstream analysis accuracy. Reference structures incorporating known genetic variation have been shown to improve accuracy genomic analyses, so far remained computationally prohibitive routine large-scale use. Here we present graph implementation that enables across 2,800 diploid...

10.1101/194530 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2017-09-27

The existence or nonexistence of changes in meat consumption cycles is critical to industry. If the change existent, there a need understand what motivates identify most appropriate response. Wavelet analysis considered here as promising technique that may lead better understanding characteristic patterns and cycles.

10.4236/fns.2013.43034 article EN Food and Nutrition Sciences 2013-01-01

We present a progress report on project to derive the evolution of volumetric supernova Type Ia rate from Supernova Legacy Survey. Our preliminary estimate divides sample Neill et al. into two redshift bins: 0.2 < z 0.4, and 0.4 0.6. extend this by adding bin analyzed in Sullivan range 0.6 0.75 same time period. compare derived trend with previously published rates production model having components: one component associated closely star formation an additional host galaxy mass. observed is...

10.1063/1.2774890 article EN AIP conference proceedings 2007-01-01

&lt;div&gt;Abstract&lt;p&gt;The Seven Bridges Cancer Genomics Cloud (CGC; &lt;a href="http://www.cancergenomicscloud.org" target="_blank"&gt;www.cancergenomicscloud.org&lt;/a&gt;) enables researchers to rapidly access and collaborate on massive public cancer genomic datasets, including The Genome Atlas. It provides secure on-demand data, analysis tools, computing resources. Researchers from diverse backgrounds can easily visualize, query, explore datasets visually or programmatically. Data...

10.1158/0008-5472.c.7360326.v1 preprint EN 2024-07-22

&lt;p&gt;Video 1. Narrated screencast highlighting the major features of CGC. For additional videos, tutorials and user guides, visit knowledge center (&lt;a href="http://docs.cancergenomicscloud.org" target="_blank"&gt;docs.cancergenomicscloud.org&lt;/a&gt;)&lt;/p&gt;

10.1158/0008-5472.26349423.v1 preprint EN 2024-07-22

&lt;p&gt;Video 1. Narrated screencast highlighting the major features of CGC. For additional videos, tutorials and user guides, visit knowledge center (&lt;a href="http://docs.cancergenomicscloud.org" target="_blank"&gt;docs.cancergenomicscloud.org&lt;/a&gt;)&lt;/p&gt;

10.1158/0008-5472.26349423 preprint EN 2024-07-22

&lt;div&gt;Abstract&lt;p&gt;The Seven Bridges Cancer Genomics Cloud (CGC; &lt;a href="http://www.cancergenomicscloud.org" target="_blank"&gt;www.cancergenomicscloud.org&lt;/a&gt;) enables researchers to rapidly access and collaborate on massive public cancer genomic datasets, including The Genome Atlas. It provides secure on-demand data, analysis tools, computing resources. Researchers from diverse backgrounds can easily visualize, query, explore datasets visually or programmatically. Data...

10.1158/0008-5472.c.7360326 preprint EN 2024-07-22

Type Ia supernovae (SNe Ia) spectra are compared using the coefficient of largest wavelet scale in their decomposition. Two distinct subgroups have been identified, and occurrence is discussed with regards to use SNe as cosmological probes. Apart from group normal SNe, another trend characterized by intrinsically redder colours consists many different SN events, which exhibit diverse properties. These include interaction circumstellar material existence a specific shell structure or...

10.1111/j.1365-2966.2011.18493.x article EN Monthly Notices of the Royal Astronomical Society 2011-04-11

&lt;div&gt;Abstract&lt;p&gt;The Seven Bridges Cancer Genomics Cloud (CGC; &lt;a href="http://www.cancergenomicscloud.org" target="_blank"&gt;www.cancergenomicscloud.org&lt;/a&gt;) enables researchers to rapidly access and collaborate on massive public cancer genomic datasets, including The Genome Atlas. It provides secure on-demand data, analysis tools, computing resources. Researchers from diverse backgrounds can easily visualize, query, explore datasets visually or programmatically. Data...

10.1158/0008-5472.c.7360326.v2 preprint EN 2024-07-24

&lt;p&gt;Video 1. Narrated screencast highlighting the major features of CGC. For additional videos, tutorials and user guides, visit knowledge center (&lt;a href="http://docs.cancergenomicscloud.org" target="_blank"&gt;docs.cancergenomicscloud.org&lt;/a&gt;)&lt;/p&gt;

10.1158/0008-5472.26367166 preprint EN cc-by 2024-07-24

&lt;p&gt;Video 1. Narrated screencast highlighting the major features of CGC. For additional videos, tutorials and user guides, visit knowledge center (&lt;a href="http://docs.cancergenomicscloud.org" target="_blank"&gt;docs.cancergenomicscloud.org&lt;/a&gt;)&lt;/p&gt;

10.1158/0008-5472.26367166.v1 preprint EN 2024-07-24

Aims. We aim to present 70 spectra of 68 new high-redshift type Ia supernovae (SNe Ia) measured at ESO’s VLT during the final two years operation (2006–2008) Supernova Legacy Survey (SNLS). This sample complements three year spectral set. Altogether, these data sets form five SNLS SN on which cosmological analysis will partly be based. In redshift range considered, this is unique in terms homogeneity and number spectra. use it investigate possibility a evolution SNe populations with as well...

10.1051/0004-6361/201731924 article EN Astronomy and Astrophysics 2018-01-03
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