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Related papers: Core-Collapse Supernova Rate Synthesis Within 11 M…

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We analyze the resolved stellar populations of 473 massive star-forming galaxies at 0.7 < z < 1.5, with multi-wavelength broad-band imaging from CANDELS and Halpha surface brightness profiles at the same kiloparsec resolution from 3D-HST.…

Star-forming galaxies have been found to follow a relatively tight relation between stellar mass ($M_{*}$) and star formation rate (SFR), dubbed the `star formation sequence'. A turnover in the sequence has been observed, where galaxies…

Core-collapse Supernovae (CCSNe) are considered the primary magnetar formation channel, with 15 magnetars associated with supernova remnants (SNRs). A large fraction of these should occur in massive stellar binaries that are disrupted by…

High Energy Astrophysical Phenomena · Physics 2026-03-17 Myles B. Sherman , Vikram Ravi , Kareem El-Badry , Kritti Sharma , Stella Koch Ocker , Nikita Kosogorov , Liam Connor , Jakob T. Faber

We have used archival ultraviolet (UV) imaging of 50 nearby star-forming galaxies obtained with the Ultraviolet Imaging Telescope (UIT) to derive integrated near-UV and far-UV magnitudes, and have combined these data with H alpha,…

Astrophysics · Physics 2009-10-31 Eric F. Bell , Robert C. Kennicutt

We measure star formation rates of ~50,000 optically-selected galaxies in the local universe (z~0.1), spanning a range from gas-rich dwarfs to massive ellipticals. We obtain dust-corrected SFRs by fitting the GALEX (UV) and SDSS (optical)…

To develop galaxy-targeting approaches, the gravitational-wave community built a catalog of stellar mass in the local universe based on the 2MASS spectroscopic and photometric redshift surveys. By cleaning and supplementing this catalog,…

Cosmology and Nongalactic Astrophysics · Physics 2021-09-08 J. Biteau

We present observational constraints on the nature of core-collapse supernovae through an investigation into their radial distributions with respect to those of young and old stellar populations within their host galaxies, as traced by…

Cosmology and Nongalactic Astrophysics · Physics 2015-05-13 J. P. Anderson , P. A. James

We use a sample of 42 supernovae detected with the Advanced Camera for Surveys on-board the Hubble Space Telescope as part of the Great Observatories Origins Deep Survey to measure the rate of core collapse supernovae to z~0.7 and type Ia…

We investigate the burstiness of star formation histories (SFHs) of galaxies at $0.4<z<1$ by using the ratio of star formation rates (SFRs) measured from H$\beta$ and FUV (1500 \AA) (H$\beta$--to--FUV ratio). Our sample contains 164…

We present a new, state-of-the-art computation of the Diffuse Supernova Neutrino Background (DSNB), where we use neutrino spectra from multi-dimensional, multi-second core collapse supernova simulations - including both neutron-star and…

High Energy Astrophysical Phenomena · Physics 2026-01-21 Cecilia Lunardini , Tomoya Takiwaki , Tomoya Kinugawa , Shunsaku Horiuchi , Kei Kotake

In this paper we discuss the possibility to measure the Hubble parameter and the slope of galaxy density profiles using future supernova data. With future supernova surveys such as SNAP, large numbers of core collapse supernovae will be…

Astrophysics · Physics 2009-11-10 Edvard Mortsell , Haakon Dahle , Steen Hannestad

This is the second paper of a series in which we present measurements of the Supernova (SN) rates from the SUDARE survey. In this paper, we study the trend of the SN rates with the intrinsic colours, the star formation activity and the mass…

In this work we analyze the physical properties of a sample of 153 star forming galaxies at z~0.84, selected by their H-alpha flux with a NB filter. B-band luminosities of the objects are higher than those of local star forming galaxies.…

Cosmology and Nongalactic Astrophysics · Physics 2015-05-28 V. Villar , J. Gallego , P-G. Pérez-González , G. Barro , J. Zamorano , K. G. Noeske , D. C. Koo

We have assembled a sample of high spatial resolution far-UV (Hubble Space Telescope Advanced Camera for Surveys Solar Blind Channel) and Halpha (Maryland-Magellan Tunable Filter) imaging for 15 cool core galaxy clusters. These data provide…

Cosmology and Nongalactic Astrophysics · Physics 2015-05-27 Michael McDonald , Sylvain Veilleux , David S. N. Rupke , Richard Mushotzky , Christopher Reynolds

This paper presents the spatially resolved star formation history (SFH) of nearby galaxies with the aim of furthering our understanding of the different processes involved in the formation and evolution of galaxies. To this end, we apply…

Nucleosynthesis, light curves, explosion energies, and remnant masses are calculated for a grid of supernovae resulting from massive stars with solar metallicity and masses from 9.0 to 120 solar masses. The full evolution is followed using…

High Energy Astrophysical Phenomena · Physics 2016-04-20 Tuguldur Sukhbold , T. Ertl , S. E. Woosley , Justin M. Brown , H. -T. Janka

This is a brief review on the first Gamma-Ray Bursts (GRB) optical identifications - GRB host galaxies and Star Forming Rate (SFR) at relatively small redshifts (z), on the metallicities of GRB hosts, the similarities and differences…

High Energy Astrophysical Phenomena · Physics 2017-08-23 V. V. Sokolov

We present optical spectroscopy and optical/near-IR photometry of 31 host galaxies of hydrogen-poor superluminous supernovae (SLSNe), including 15 events from the Pan-STARRS1 Medium Deep Survey. Our sample spans the redshift range 0.1 < z <…

The star formation rate density (SFRD) is an important tool in galaxy evolution that allows us to identify at which cosmic time galaxies are more efficient at forming stars. For low-mass star-forming galaxies, the SFRD as a function of…

Astrophysics of Galaxies · Physics 2025-04-07 G. G. Murrell , I. K. Baldry

Reproducing color-magnitude diagrams (CMDs) of star-resolved galaxies is one of the most precise methods for measuring the star formation history (SFH) of nearby galaxies back to the earliest time. The upcoming big data era poses challenges…

Astrophysics of Galaxies · Physics 2024-10-17 Yujiao Yang , Chao Liu , Ming Yang , Yun Zheng , Hao Tian