TY - JOUR
T1 - The mass profiles of dwarf galaxies from Dark Energy Survey lensing
AU - Thornton, Joseph
AU - Amon, Alexandra
AU - Wechsler, Risa H.
AU - Adhikari, Susmita
AU - Mao, Yao Yuan
AU - Myles, Justin
AU - Geha, Marla
AU - Kallivayalil, Nitya
AU - Tollerud, Erik
AU - Weiner, Benjamin
N1 - Publisher Copyright:
© 2024 The Author(s).
PY - 2024/11/1
Y1 - 2024/11/1
N2 - We present a novel approach to extracting dwarf galaxies from photometric data to measure their average halo mass profile with weak lensing. We characterize their stellar mass and redshift distributions with a spectroscopic calibration sample. By combining the multiband photometry from the Dark Energy Survey and redshifts from the Satellites Around Galactic Analogs Survey with an unsupervised machine learning method, we select a low-mass galaxy sample spanning redshifts and divide it into three mass bins. From low to high median mass, the bins contain [146 420, 330 146, 275 028] galaxies and have median stellar masses of. We measure the stacked excess surface mass density profiles,, of these galaxies using galaxy-galaxy lensing with a signal-to-noise ratio of [14, 23, 28]. Through a simulation-based forward-modelling approach, we fit the measurements to constrain the stellar-to-halo mass relation and find the median halo mass of these samples to be = [,,]. The cold dark matter profiles are consistent with NFW (Navarro, Frenk, and White) profiles over scales Mpc. We find that per cent of the dwarf galaxy sample are satellites. This is the first measurement of the halo profiles and masses of such a comprehensive, low-mass galaxy sample. The techniques presented here pave the way for extracting and analysing even lower mass dwarf galaxies and for more finely splitting galaxies by their properties with future photometric and spectroscopic survey data.
AB - We present a novel approach to extracting dwarf galaxies from photometric data to measure their average halo mass profile with weak lensing. We characterize their stellar mass and redshift distributions with a spectroscopic calibration sample. By combining the multiband photometry from the Dark Energy Survey and redshifts from the Satellites Around Galactic Analogs Survey with an unsupervised machine learning method, we select a low-mass galaxy sample spanning redshifts and divide it into three mass bins. From low to high median mass, the bins contain [146 420, 330 146, 275 028] galaxies and have median stellar masses of. We measure the stacked excess surface mass density profiles,, of these galaxies using galaxy-galaxy lensing with a signal-to-noise ratio of [14, 23, 28]. Through a simulation-based forward-modelling approach, we fit the measurements to constrain the stellar-to-halo mass relation and find the median halo mass of these samples to be = [,,]. The cold dark matter profiles are consistent with NFW (Navarro, Frenk, and White) profiles over scales Mpc. We find that per cent of the dwarf galaxy sample are satellites. This is the first measurement of the halo profiles and masses of such a comprehensive, low-mass galaxy sample. The techniques presented here pave the way for extracting and analysing even lower mass dwarf galaxies and for more finely splitting galaxies by their properties with future photometric and spectroscopic survey data.
KW - dark matter
KW - galaxies: dwarf
KW - galaxies: haloes
KW - gravitational lensing: weak
UR - https://www.scopus.com/pages/publications/85208216499
UR - https://www.scopus.com/inward/citedby.url?scp=85208216499&partnerID=8YFLogxK
U2 - 10.1093/mnras/stae2040
DO - 10.1093/mnras/stae2040
M3 - Article
AN - SCOPUS:85208216499
SN - 0035-8711
VL - 535
SP - 1
EP - 20
JO - Monthly Notices of the Royal Astronomical Society
JF - Monthly Notices of the Royal Astronomical Society
IS - 1
ER -