J/MNRAS/479/5413 Single pulses in the PM Pulsar Survey (Mickaliger+, 2018)
A study of single pulses in the Parkes Multibeam Pulsar Survey.
Mickaliger M.B., McEwen A.E., McLaughlin M.A., Lorimer D.R.
<Mon. Not. R. Astron. Soc., 479, 5413-5422 (2018)>
=2018MNRAS.479.5413M 2018MNRAS.479.5413M (SIMBAD/NED BibCode)
ADC_Keywords: Pulsars ; Surveys
Keywords: surveys - pulsars: general
Abstract:
We reprocessed the Parkes Multibeam Pulsar Survey, searching for
single pulses out to a DM of 5000pc/cm3 with widths of up to 1s. We
recorded single pulses from 264 known pulsars and 14 Rotating Radio
Transients. We produced pulse-energy distributions for each pulsar
which we fit with log-normal distributions, power-law tails, and a
power-law function divided by an exponential function, finding that
some pulsars show a deviation from a log-normal distribution in the
form of an excess of high-energy pulses. We found that a function
consisting of a power-law divided by an exponential fit the
distributions of most pulsars better than either log-normal or
power-law functions. For pulsars that were detected in a periodicity
search, we computed the ratio of their single-pulse signal-to-noise
ratios to their signal-to-noise ratios from a Fourier transform and
looked for correlations between this ratio and physical parameters of
the pulsars. The only correlation found is the expected relationship
between this ratio and the spin period. Fitting log-normal
distributions to the energies of pulses from RRATs showed similar
behaviour for most RRATs. Here, however, there seem to be two distinct
distributions of pulses, with the lower-energy distribution being
consistent with noise. Pulse-energy distributions for two of the RRATs
processed were consistent with those found for normal pulsars,
suggesting that pulsars and RRATs have a common emission mechanism,
but other factors influence the specific emission properties of each
source class.
Description:
We used freely-available software tools implemented in the sigproc
software package to search the PMPS data for periodic and
single-pulse sources.
In total, we recorded single pulses from 264 known pulsars out of the
1049 present in the survey. For each detected pulsar, we constructed a
normalized energy distribution, which we then fit with log-normal and
power-law distributions, as well as a power-law divided by an
exponential. We calculated the (S/NSP)/(S/NFFT) ratio and compared
this to the physical properties of the pulsar.
File Summary:
--------------------------------------------------------------------------------
FileName Lrecl Records Explanations
--------------------------------------------------------------------------------
ReadMe 80 . This file
table1.dat 174 259 Single-pulse detections of known pulsars from
the reprocessing of the PMPS
--------------------------------------------------------------------------------
Byte-by-byte Description of file: table1.dat
--------------------------------------------------------------------------------
Bytes Format Units Label Explanations
--------------------------------------------------------------------------------
1- 10 A10 --- PSR Pulsar name
13- 17 F5.3 s Period Spin period
20- 25 F6.2 pc/cm3 DM Dispersion Measure
30- 39 A10 --- NSP Number of single pulses recorded
42- 46 F5.2 --- mulognorm ?=- Mean normalized energy, mu, from
best log-normal fit (1)
49- 53 F5.3 --- e_mulognorm ?=- mulognorm error
58- 62 F5.2 --- sigmalognorm ?=- Standard deviation from best
log-normal fit (1)
65- 68 F4.2 --- e_sigmalognorm ?=- sigmalognorm error
73- 76 F4.2 --- chi2lognorm ?=- Reduced chi-square of log-normal
fit (1)
88- 93 F6.2 --- alphaplaw ?=- Power-law index from best power-law
fit (2)
96- 99 F4.2 --- e_alphaplaw ?=- alphaplaw error
102-105 F4.2 --- chi2plaw ?=- Reduced chi-square of power-law
fit (2)
115-119 F5.2 --- bplawe ?=- Fitting parameter b from best
power-law/exponential fit(3)
122-125 F4.2 --- e_bplawe ?=- bplawe error
129-132 F4.2 --- cplawe ?=- Fitting parameter c from best
power-law/exponential fit(3)
134-137 F4.2 --- e_cplawe ?=- cplawe error
143-146 F4.2 --- chi2plawe ?=- Reduced chi-square of
power-law/exponential fit(3)
157-160 F4.1 --- SPS/N ?=- Single-pulse signal to noise ratio
163-168 F6.1 --- FFTS/N ?=- Signal to noise ratio from a Fourier
transform
171-174 F4.2 --- SP/FFT ?=- Ratio of single-pulse S/N to FFT S/N
--------------------------------------------------------------------------------
Note (1): The log-normal fit has the form of a scaled probability density
function (PDF), given by:
PDFlog(E)=Cexp(-(lnE-µ)2/2σ2)/Eσsqrt(2π)
Note (2): The power-law fit has the form: PDFpower(E)=CEα
Note (3): The power-law divided by an exponential fit has the form:
PDFpow/exp(E)=aEb/ecE
--------------------------------------------------------------------------------
History:
From electronic version of the journal
(End) Ana Fiallos [CDS] 05-May-2022