Embedded newform data - 1440.4.a.s.1.2

Formats: - HTML - YAML - JSON - 2024-12-14T17:11:54.900066

• mf_newforms •

  Column	Type
  Nk2	integer
  analytic_conductor	double precision
  analytic_rank	smallint
  analytic_rank_proved	boolean
  artin_degree	integer
  artin_field	numeric[]
  artin_field_label	text
  artin_image	text
  atkin_lehner_eigenvals	integer[]
  atkin_lehner_string	text
  char_conductor	integer
  char_degree	integer
  char_is_minimal	boolean
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  cm_discs	integer[]
  conrey_index	integer
  dim	integer
  embedded_related_objects	text[]
  field_disc	numeric
  field_disc_factorization	numeric[]
  field_poly	numeric[]
  field_poly_is_cyclotomic	boolean
  field_poly_is_real_cyclotomic	boolean
  field_poly_root_of_unity	integer
  fricke_eigenval	smallint
  has_non_self_twist	smallint
  hecke_cutters	jsonb
  hecke_orbit	integer
  hecke_orbit_code	bigint
  hecke_ring_generator_nbound	integer
  hecke_ring_index	numeric
  hecke_ring_index_factorization	numeric[]
  hecke_ring_index_proved	boolean
  inner_twist_count	integer
  inner_twists	integer[]
  is_cm	boolean
  is_largest	boolean
  is_maximal	boolean
  is_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  minimal_twist	text
  nf_label	text
  prim_orbit_index	smallint
  projective_field	numeric[]
  projective_field_label	text
  projective_image	text
  projective_image_type	text
  qexp_display	text
  related_objects	text[]
  relative_dim	integer
  rm_discs	integer[]
  sato_tate_group	text
  self_twist_discs	integer[]
  self_twist_type	smallint
  space_label	text
  trace_display	numeric[]
  trace_hash	bigint
  trace_moments	numeric[]
  trace_zratio	numeric
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 23040, 'analytic_conductor': 84.96275040826649, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [3, -1], [5, 1]], 'atkin_lehner_string': '--+', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [1440, 1, [991, 901, 641, 577], [1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 89, 'field_disc_factorization': [[89, 1]], 'field_poly': [-22, -1, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_cutters': [[7, [-320, 12, 1]], [11, [-1280, -24, 1]], [17, [-2420, 56, 1]]], 'hecke_orbit': 19, 'hecke_orbit_code': 81064793359779232, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 4, 'hecke_ring_index_factorization': [[2, 2]], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '1440.4.a.s', 'level': 1440, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5], 'level_radical': 30, 'minimal_twist': '480.4.a.o', 'nf_label': '2.2.89.1', 'prim_orbit_index': 1, 'qexp_display': 'q-5q^{5}+(-6-\\beta )q^{7}+(12-2\\beta )q^{11}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '3.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1440.4.a', 'trace_display': [0, 0, -10, -12], 'trace_hash': 1513331825726433334, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.050', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.972', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.024', 'prec': 17}, {'__RealLiteral__': 0, 'data': '9.490', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '62.976', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.002', 'prec': 17}, 'traces': [2, 0, 0, 0, -10, 0, -12, 0, 0, 0, 24, 0, 8, 0, 0, 0, -56, 0, -60, 0, 0, 0, 84, 0, 50, 0, 0, 0, -12, 0, -132, 0, 0, 0, 60, 0, -104, 0, 0, 0, -140, 0, -504, 0, 0, 0, 348, 0, 98, 0, 0, 0, 684, 0, -120, 0, 0, 0, 888, 0, -172, 0, 0, 0, -40, 0, -1560, 0, 0, 0, 144, 0, -564, 0, 0, 0, 1280, 0, 84, 0, 0, 0, 1512, 0, 280, 0, 0, 0, -28, 0, -2184, 0, 0, 0, 300, 0, 148, 0, 0, 0, 1940, 0, 1332, 0, 0, 0, 3360, 0, 3276, 0, 0, 0, 2776, 0, -420, 0, 0, 0, -1800, 0, 474, 0, 0, 0, -250, 0, 180, 0, 0, 0, 144, 0, 2496, 0, 0, 0, 624, 0, 1164, 0, 0, 0, -4176, 0, 60, 0, 0, 0, 1348, 0, 2220, 0, 0, 0, 660, 0, 4560, 0, 0, 0, 3056, 0, 1848, 0, 0, 0, 276, 0, 2046, 0, 0, 0, 2180, 0, -300, 0, 0, 0, -5856, 0, -164, 0, 0, 0, 520, 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• mf_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
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-0.37742384965056963, -0.21698253894905092, -0.21137436169158552, -0.11728957894761548, -0.2725398424785368, -0.20298035209513576, -0.3333603644148062, -0.3058829340884472, -0.2800781533446357, -0.16641025113876012, -0.1964764727392681, -0.26373528313289224, -0.20125926483564546, -0.42212269708271766, -0.32323534504697077, -0.17276807396891364, -0.2690089097618152, -0.1696920092371045, -0.31217645671811606, -0.11783284664706767, -0.20419520263995203, -0.252499298005518, -0.43228211944181555, -0.15536787325133158, -0.2890757892426272, -0.17753661083094824, -0.25943841158613656, -0.18065428668410427, -0.17000932283029227, -0.16389600334701304, -0.29670672809700427, -0.43823853082183295, -0.25302965698908686, -0.19145672332960068, -0.14222427874347385, -0.19065708948430848, -0.0834353201728157, -0.13048431257577572, -0.3642173567788275, -0.4027635322562329, -0.16634785000490696, -0.2308462753908358, -0.14341046690058112, -0.406497267896911, -0.2852094407772054, -0.3084196838438579, -0.12716390473477313, -0.1718285210164713, -0.27999122158674766, -0.4270653082814766, -0.22895845111005061, -0.1903300474264438, -0.3282855843924621, -0.41839627871158813, -0.3625830382599981, -0.2735621282148732, -0.24512270326339586, -0.33344650183918206, -0.30879083865412305, -0.40529659057516443, -0.3012409262674332, -0.24385972439467668, -0.18461390262444263, -0.31084850858451607, -0.39620804404098786, -0.3185894234380055, -0.13460603162859408, -0.3368001551020218, -0.189085214625923, -0.2673599791110326, -0.30724133928611796, -0.12752413234298052, -0.08520567451009962, -0.2806914123149289, -0.31754550578113466, -0.24868257379430306, -0.15488552320943222, -0.3214942163358838, -0.23308498758941565, -0.17506881159226118, -0.3062372740255961, -0.13160008851045088, -0.2019867069168185, -0.18417614328935292, -0.16373209816530856, -0.20458895472730146, -0.155890480676353, -0.30526844010963083, -0.28560645001419754, -0.17086821814257735, -0.3058916677989334, -0.27566138721648614, -0.36518018506762634, -0.2207639500694287, -0.123150571434615, -0.20725627602777758], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': 0.0, 'embedding_root_real': -4.216990566028302, 'hecke_orbit': 19, 'hecke_orbit_code': 81064793359779232, 'label': '1440.4.a.s.1.2', 'level': 1440, 'weight': 4}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'ALdims': [7, 5, 9, 10, 5, 7, 9, 8], 'Nk2': 23040, 'analytic_conductor': 84.96275040826649, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [1440, 1, [991, 901, 641, 577], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 832, 'dim': 60, 'eis_dim': 64, 'eis_new_dim': 0, 'hecke_cutter_primes': [7, 11, 17], 'hecke_orbit_code': 67110304, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3], 'label': '1440.4.a', 'level': 1440, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5], 'level_radical': 30, 'mf_dim': 896, 'mf_new_dim': 60, 'num_forms': 37, 'plus_dim': 33, 'prim_orbit_index': 1, 'relative_dim': 60, 'sturm_bound': 1152, 'trace_bound': 13, 'trace_display': [0, 0, 0, 0], 'traces': [60, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, -152, 0, 0, 0, 0, 0, 0, 0, 1500, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, 1008, 0, 0, 0, -416, 0, 0, 0, 0, 0, 0, 0, 2116, 0, 0, 0, -784, 0, 0, 0, 0, 0, 0, 0, 1760, 0, 0, 0, 280, 0, 0, 0, 0, 0, 0, 0, -1224, 0, 0, 0, 1680, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3656, 0, 0, 0, 0, 0, 0, 0, 680, 0, 0, 0, -264, 0, 0, 0, 0, 0, 0, 0, 3360, 0, 0, 0, 4856, 0, 0, 0, 0, 0, 0, 0, 12556, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 13856, 0, 0, 0, -1480, 0, 0, 0, 0, 0, 0, 0, 720, 0, 0, 0, -13344, 0, 0, 0, 0, 0, 0, 0, -1360, 0, 0, 0, 16264, 0, 0, 0, 0, 0, 0, 0, 25700, 0, 0, 0, 11920, 0, 0, 0, 0, 0, 0, 0, 10152, 0, 0, 0, 2040, 0, 0, 0, 0, 0, 0, 0, 6936, 0, 0, 0, 4640, 0, 0, 0, 0, 0, 0, 0, -2520, 0, 0, 0, 22432, 0, 0, 0, 0, 0, 0, 0, 14832, 0, 0, 0, 22304, 0, 0, 0, 0, 0, 0, 0, -232, 0, 0, 0, -6984, 0, 0, 0, 0, 0, 0, 0, 560, 0, 0, 0, -5240, 0, 0, 0, 0, 0, 0, 0, -5904, 0, 0, 0, 36696, 0, 0, 0, 0, 0, 0, 0, 5080, 0, 0, 0, 23616, 0, 0, 0, 0, 0, 0, 0, 11360, 0, 0, 0, -34528, 0, 0, 0, 0, 0, 0, 0, 19700, 0, 0, 0, -30064, 0, 0, 0, 0, 0, 0, 0, -7160, 0, 0, 0, 11000, 0, 0, 0, 0, 0, 0, 0, 37528, 0, 0, 0, 22592, 0, 0, 0, 0, 0, 0, 0, -3600, 0, 0, 0, -28392, 0, 0, 0, 0, 0, 0, 0, 10360, 0, 0, 0, -56448, 0, 0, 0, 0, 0, 0, 0, -2728, 0, 0, 0, 21096, 0, 0, 0, 0, 0, 0, 0, 63212, 0, 0, 0, 21440, 0, 0, 0, 0, 0, 0, 0, 35808, 0, 0, 0, -19488, 0, 0, 0, 0, 0, 0, 0, -14640, 0, 0, 0, -15808, 0, 0, 0, 0, 0, 0, 0, -59408, 0, 0, 0, 48344, 0, 0, 0, 0, 0, 0, 0, 7744, 0, 0, 0, -4064, 0, 0, 0, 0, 0, 0, 0, -3520, 0, 0, 0, -3800, 0, 0, 0, 0, 0, 0, 0, 29832, 0, 0, 0, -87648, 0, 0, 0, 0, 0, 0, 0, 11040, 0, 0, 0, 13008, 0, 0, 0, 0, 0, 0, 0, -11272, 0, 0, 0, 12600, 0, 0, 0, 0, 0, 0, 0, 6040, 0, 0, 0, -8656, 0, 0, 0, 0, 0, 0, 0, -35696, 0, 0, 0, 5200, 0, 0, 0, 0, 0, 0, 0, -82576, 0, 0, 0, 30608, 0, 0, 0, 0, 0, 0, 0, -13120, 0, 0, 0, -31160, 0, 0, 0, 0, 0, 0, 0, -53360, 0, 0, 0, -15656, 0, 0, 0, 0, 0, 0, 0, -49436, 0, 0, 0, -70768, 0, 0, 0, 0, 0, 0, 0, 5512, 0, 0, 0, 1400, 0, 0, 0, 0, 0, 0, 0, 8224, 0, 0, 0, 43168, 0, 0, 0, 0, 0, 0, 0, 5360, 0, 0, 0, -21584, 0, 0, 0, 0, 0, 0, 0, -59096, 0, 0, 0, 75672, 0, 0, 0, 0, 0, 0, 0, -87168, 0, 0, 0, -41784, 0, 0, 0, 0, 0, 0, 0, 31280, 0, 0, 0, -16160, 0, 0, 0, 0, 0, 0, 0, -183616, 0, 0, 0, -51464, 0, 0, 0, 0, 0, 0, 0, 37500, 0, 0, 0, -114208, 0, 0, 0, 0, 0, 0, 0, -146688, 0, 0, 0, 38464, 0, 0, 0, 0, 0, 0, 0, -186848, 0, 0, 0, 6752, 0, 0, 0, 0, 0, 0, 0, -52832, 0, 0, 0, 16960, 0, 0, 0, 0, 0, 0, 0, -54616, 0, 0, 0, 57856, 0, 0, 0, 0, 0, 0, 0, 8400, 0, 0, 0, -62160, 0, 0, 0, 0, 0, 0, 0, -70752, 0, 0, 0, -35264, 0, 0, 0, 0, 0, 0, 0, -35880, 0, 0, 0, 99376, 0, 0, 0, 0, 0, 0, 0, 664, 0, 0, 0, -1400, 0, 0, 0, 0, 0, 0, 0, -30320, 0, 0, 0, -29168, 0, 0, 0, 0, 0, 0, 0, 20840, 0, 0, 0, 22504, 0, 0, 0, 0, 0, 0, 0, -10208, 0, 0, 0, 99864, 0, 0, 0, 0, 0, 0, 0, 64120, 0, 0, 0, 266368, 0, 0, 0, 0, 0, 0, 0, -34336, 0, 0, 0, -46600, 0, 0, 0, 0, 0, 0, 0, -202032, 0, 0, 0, -122400, 0, 0, 0, 0, 0, 0, 0, -23960, 0, 0, 0, 75384, 0, 0, 0, 0, 0, 0, 0, -73504, 0, 0, 0, -135840, 0, 0, 0, 0, 0, 0, 0, 38624, 0, 0, 0, -125800, 0, 0, 0, 0, 0, 0, 0, 75140, 0, 0, 0, -18560, 0, 0, 0, 0, 0, 0, 0, 83872, 0, 0, 0, 17880, 0, 0, 0, 0, 0, 0, 0, 23640, 0, 0, 0, 259936, 0, 0, 0, 0, 0, 0, 0, 65104, 0, 0, 0, -116032, 0, 0, 0, 0, 0, 0, 0, 142920, 0, 0, 0, -248800, 0, 0, 0, 0, 0, 0, 0, -165920, 0, 0, 0, 25760, 0, 0, 0, 0, 0, 0, 0, -35760, 0, 0, 0, -132048, 0, 0, 0, 0, 0, 0, 0, 25200, 0, 0, 0, -29392, 0, 0, 0, 0, 0, 0, 0, -139480, 0, 0, 0, 13144, 0, 0, 0, 0, 0, 0, 0, 2528, 0, 0, 0, 103528, 0, 0, 0, 0, 0, 0, 0, -76836, 0, 0, 0, 70240, 0, 0, 0, 0, 0, 0, 0, 332608, 0, 0, 0, -156072, 0, 0, 0, 0, 0, 0, 0, 10760, 0, 0, 0, -216024, 0, 0, 0, 0, 0, 0, 0, 104272, 0, 0, 0], 'weight': 4, 'weight_parity': 1}
• mf_twists_cc •

  Column	Type
  conductor	integer
  degree	integer
  order	integer
  parity	smallint
  source_conrey_index	integer
  source_dim	integer
  source_embedding_index	integer
  source_hecke_orbit_code	bigint
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_conrey_index	integer
  target_dim	integer
  target_embedding_index	integer
  target_hecke_orbit_code	bigint
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_conrey_index	integer
  weight	smallint

  
  
  • id: 48219924
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 81064793359779232, 'source_is_minimal': False, 'source_label': '1440.4.a.s.1.2', 'source_level': 1440, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 81064793359779232, 'target_is_minimal': False, 'target_label': '1440.4.a.s.1.2', 'target_level': 1440, 'twist_class_label': '480.4.a.o.1.2', 'twist_class_level': 480, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 48219925
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 81064793359779232, 'source_is_minimal': False, 'source_label': '1440.4.a.s.1.2', 'source_level': 1440, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 63050394850296288, 'target_is_minimal': True, 'target_label': '480.4.a.o.1.2', 'target_level': 480, 'twist_class_label': '480.4.a.o.1.2', 'twist_class_level': 480, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 48219926
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 81064793359779232, 'source_is_minimal': False, 'source_label': '1440.4.a.s.1.2', 'source_level': 1440, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 108086391124002208, 'target_is_minimal': False, 'target_label': '1440.4.a.y.1.1', 'target_level': 1440, 'twist_class_label': '480.4.a.o.1.2', 'twist_class_level': 480, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 48219927
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 81064793359779232, 'source_is_minimal': False, 'source_label': '1440.4.a.s.1.2', 'source_level': 1440, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 76561193732407776, 'target_is_minimal': True, 'target_label': '480.4.a.r.1.1', 'target_level': 480, 'twist_class_label': '480.4.a.o.1.2', 'twist_class_level': 480, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 4}
  • id: 48219928
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 81064793359779232, 'source_is_minimal': False, 'source_label': '1440.4.a.s.1.2', 'source_level': 1440, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 121597190006114656, 'target_is_minimal': False, 'target_label': '2400.4.a.bb.1.1', 'target_level': 2400, 'twist_class_label': '480.4.a.o.1.2', 'twist_class_level': 480, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 4}
  • id: 48219929
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 81064793359779232, 'source_is_minimal': False, 'source_label': '1440.4.a.s.1.2', 'source_level': 1440, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 175640385534559168, 'target_is_minimal': False, 'target_label': '960.4.a.bn.1.2', 'target_level': 960, 'twist_class_label': '480.4.a.o.1.2', 'twist_class_level': 480, 'twisting_char_label': '24.5', 'twisting_conrey_index': 5, 'weight': 4}
  • id: 48219930
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 81064793359779232, 'source_is_minimal': False, 'source_label': '1440.4.a.s.1.2', 'source_level': 1440, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 162129586652447680, 'target_is_minimal': False, 'target_label': '960.4.a.bk.1.1', 'target_level': 960, 'twist_class_label': '480.4.a.o.1.2', 'twist_class_level': 480, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 4}
  • id: 48219931
    {'conductor': 60, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 81064793359779232, 'source_is_minimal': False, 'source_label': '1440.4.a.s.1.2', 'source_level': 1440, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 108086391124003168, 'target_is_minimal': False, 'target_label': '2400.4.a.y.1.2', 'target_level': 2400, 'twist_class_label': '480.4.a.o.1.2', 'twist_class_level': 480, 'twisting_char_label': '60.59', 'twisting_conrey_index': 59, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1940800
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 81064793359779232, 'p': 2}
  • id: 1940801
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 81064793359779232, 'p': 3}
  • id: 1940802
    {'charpoly_factorization': [[[5, 1], 2]], 'hecke_orbit_code': 81064793359779232, 'p': 5}
  • id: 1940803
    {'charpoly_factorization': [[[-320, 12, 1], 1]], 'hecke_orbit_code': 81064793359779232, 'p': 7}
  • id: 1940804
    {'charpoly_factorization': [[[-1280, -24, 1], 1]], 'hecke_orbit_code': 81064793359779232, 'p': 11}
  • id: 1940805
    {'charpoly_factorization': [[[-3188, -8, 1], 1]], 'hecke_orbit_code': 81064793359779232, 'p': 13}
  • id: 1940806
    {'charpoly_factorization': [[[-2420, 56, 1], 1]], 'hecke_orbit_code': 81064793359779232, 'p': 17}
  • id: 1940807
    {'charpoly_factorization': [[[-2304, 60, 1], 1]], 'hecke_orbit_code': 81064793359779232, 'p': 19}
  • id: 1940808
    {'charpoly_factorization': [[[-7136, -84, 1], 1]], 'hecke_orbit_code': 81064793359779232, 'p': 23}
  • id: 1940809
    {'charpoly_factorization': [[[6, 1], 2]], 'hecke_orbit_code': 81064793359779232, 'p': 29}
  • id: 1940810
    {'charpoly_factorization': [[[4000, 132, 1], 1]], 'hecke_orbit_code': 81064793359779232, 'p': 31}
  • id: 1940811
    {'charpoly_factorization': [[[-154292, 104, 1], 1]], 'hecke_orbit_code': 81064793359779232, 'p': 37}
  • id: 1940812
    {'charpoly_factorization': [[[-7916, 140, 1], 1]], 'hecke_orbit_code': 81064793359779232, 'p': 41}
  • id: 1940813
    {'charpoly_factorization': [[[252, 1], 2]], 'hecke_orbit_code': 81064793359779232, 'p': 43}
  • id: 1940814
    {'charpoly_factorization': [[[12832, -348, 1], 1]], 'hecke_orbit_code': 81064793359779232, 'p': 47}
  • id: 1940815
    {'charpoly_factorization': [[[104148, -684, 1], 1]], 'hecke_orbit_code': 81064793359779232, 'p': 53}
  • id: 1940816
    {'charpoly_factorization': [[[127360, -888, 1], 1]], 'hecke_orbit_code': 81064793359779232, 'p': 59}
  • id: 1940817
    {'charpoly_factorization': [[[-313004, 172, 1], 1]], 'hecke_orbit_code': 81064793359779232, 'p': 61}
  • id: 1940818
    {'charpoly_factorization': [[[602704, 1560, 1], 1]], 'hecke_orbit_code': 81064793359779232, 'p': 67}
  • id: 1940819
    {'charpoly_factorization': [[[-359360, -144, 1], 1]], 'hecke_orbit_code': 81064793359779232, 'p': 71}
  • id: 1940820
    {'charpoly_factorization': [[[-35820, 564, 1], 1]], 'hecke_orbit_code': 81064793359779232, 'p': 73}
  • id: 1940821
    {'charpoly_factorization': [[[-220736, -84, 1], 1]], 'hecke_orbit_code': 81064793359779232, 'p': 79}
  • id: 1940822
    {'charpoly_factorization': [[[292432, -1512, 1], 1]], 'hecke_orbit_code': 81064793359779232, 'p': 83}
  • id: 1940823
    {'charpoly_factorization': [[[-1037900, 28, 1], 1]], 'hecke_orbit_code': 81064793359779232, 'p': 89}
  • id: 1940824
    {'charpoly_factorization': [[[-45788, -148, 1], 1]], 'hecke_orbit_code': 81064793359779232, 'p': 97}
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 1, 'hecke_orbit': 19, 'label': '1440.4.a.s', 'level': 1440, 'portrait': 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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 63434179
    {'hecke_orbit_code': 81064793359779232, 'n': 1, 'trace_an': 2}
  • id: 63434180
    {'hecke_orbit_code': 81064793359779232, 'n': 2, 'trace_an': 0}
  • id: 63434181
    {'hecke_orbit_code': 81064793359779232, 'n': 3, 'trace_an': 0}
  • id: 63434182
    {'hecke_orbit_code': 81064793359779232, 'n': 4, 'trace_an': 0}
  • id: 63434183
    {'hecke_orbit_code': 81064793359779232, 'n': 5, 'trace_an': -10}
  • id: 63434184
    {'hecke_orbit_code': 81064793359779232, 'n': 6, 'trace_an': 0}
  • id: 63434185
    {'hecke_orbit_code': 81064793359779232, 'n': 7, 'trace_an': -12}
  • id: 63434186
    {'hecke_orbit_code': 81064793359779232, 'n': 8, 'trace_an': 0}
  • id: 63434187
    {'hecke_orbit_code': 81064793359779232, 'n': 9, 'trace_an': 0}
  • id: 63434188
    {'hecke_orbit_code': 81064793359779232, 'n': 10, 'trace_an': 0}
  • id: 63434189
    {'hecke_orbit_code': 81064793359779232, 'n': 11, 'trace_an': 24}
  • id: 63434190
    {'hecke_orbit_code': 81064793359779232, 'n': 12, 'trace_an': 0}
  • id: 63434191
    {'hecke_orbit_code': 81064793359779232, 'n': 13, 'trace_an': 8}
  • id: 63434192
    {'hecke_orbit_code': 81064793359779232, 'n': 14, 'trace_an': 0}
  • id: 63434193
    {'hecke_orbit_code': 81064793359779232, 'n': 15, 'trace_an': 0}
  • id: 63434194
    {'hecke_orbit_code': 81064793359779232, 'n': 16, 'trace_an': 0}
  • id: 63434195
    {'hecke_orbit_code': 81064793359779232, 'n': 17, 'trace_an': -56}
  • id: 63434196
    {'hecke_orbit_code': 81064793359779232, 'n': 18, 'trace_an': 0}
  • id: 63434197
    {'hecke_orbit_code': 81064793359779232, 'n': 19, 'trace_an': -60}
  • id: 63434198
    {'hecke_orbit_code': 81064793359779232, 'n': 20, 'trace_an': 0}
  • id: 63434199
    {'hecke_orbit_code': 81064793359779232, 'n': 21, 'trace_an': 0}
  • id: 63434200
    {'hecke_orbit_code': 81064793359779232, 'n': 22, 'trace_an': 0}
  • id: 63434201
    {'hecke_orbit_code': 81064793359779232, 'n': 23, 'trace_an': 84}
  • id: 63434202
    {'hecke_orbit_code': 81064793359779232, 'n': 24, 'trace_an': 0}
  • id: 63434203
    {'hecke_orbit_code': 81064793359779232, 'n': 25, 'trace_an': 50}
  • id: 63434204
    {'hecke_orbit_code': 81064793359779232, 'n': 26, 'trace_an': 0}
  • id: 63434205
    {'hecke_orbit_code': 81064793359779232, 'n': 27, 'trace_an': 0}
  • id: 63434206
    {'hecke_orbit_code': 81064793359779232, 'n': 28, 'trace_an': 0}
  • id: 63434207
    {'hecke_orbit_code': 81064793359779232, 'n': 29, 'trace_an': -12}
  • id: 63434208
    {'hecke_orbit_code': 81064793359779232, 'n': 30, 'trace_an': 0}
  • id: 63434209
    {'hecke_orbit_code': 81064793359779232, 'n': 31, 'trace_an': -132}
  • id: 63434210
    {'hecke_orbit_code': 81064793359779232, 'n': 32, 'trace_an': 0}
  • id: 63434211
    {'hecke_orbit_code': 81064793359779232, 'n': 33, 'trace_an': 0}
  • id: 63434212
    {'hecke_orbit_code': 81064793359779232, 'n': 34, 'trace_an': 0}
  • id: 63434213
    {'hecke_orbit_code': 81064793359779232, 'n': 35, 'trace_an': 60}
  • id: 63434214
    {'hecke_orbit_code': 81064793359779232, 'n': 36, 'trace_an': 0}
  • id: 63434215
    {'hecke_orbit_code': 81064793359779232, 'n': 37, 'trace_an': -104}
  • id: 63434216
    {'hecke_orbit_code': 81064793359779232, 'n': 38, 'trace_an': 0}
  • id: 63434217
    {'hecke_orbit_code': 81064793359779232, 'n': 39, 'trace_an': 0}
  • id: 63434218
    {'hecke_orbit_code': 81064793359779232, 'n': 40, 'trace_an': 0}
  • id: 63434219
    {'hecke_orbit_code': 81064793359779232, 'n': 41, 'trace_an': -140}
  • id: 63434220
    {'hecke_orbit_code': 81064793359779232, 'n': 42, 'trace_an': 0}
  • id: 63434221
    {'hecke_orbit_code': 81064793359779232, 'n': 43, 'trace_an': -504}
  • id: 63434222
    {'hecke_orbit_code': 81064793359779232, 'n': 44, 'trace_an': 0}
  • id: 63434223
    {'hecke_orbit_code': 81064793359779232, 'n': 45, 'trace_an': 0}
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    {'hecke_orbit_code': 81064793359779232, 'n': 821, 'trace_an': -43148}
  • id: 63434409
    {'hecke_orbit_code': 81064793359779232, 'n': 823, 'trace_an': 9924}
  • id: 63434410
    {'hecke_orbit_code': 81064793359779232, 'n': 827, 'trace_an': -9864}
  • id: 63434411
    {'hecke_orbit_code': 81064793359779232, 'n': 829, 'trace_an': 32396}
  • id: 63434412
    {'hecke_orbit_code': 81064793359779232, 'n': 839, 'trace_an': 50064}
  • id: 63434413
    {'hecke_orbit_code': 81064793359779232, 'n': 841, 'trace_an': -48706}
  • id: 63434414
    {'hecke_orbit_code': 81064793359779232, 'n': 853, 'trace_an': -26824}
  • id: 63434415
    {'hecke_orbit_code': 81064793359779232, 'n': 857, 'trace_an': 28344}
  • id: 63434416
    {'hecke_orbit_code': 81064793359779232, 'n': 859, 'trace_an': -28956}
  • id: 63434417
    {'hecke_orbit_code': 81064793359779232, 'n': 863, 'trace_an': -10620}
  • id: 63434418
    {'hecke_orbit_code': 81064793359779232, 'n': 877, 'trace_an': 78416}
  • id: 63434419
    {'hecke_orbit_code': 81064793359779232, 'n': 881, 'trace_an': -18972}
  • id: 63434420
    {'hecke_orbit_code': 81064793359779232, 'n': 883, 'trace_an': -58584}
  • id: 63434421
    {'hecke_orbit_code': 81064793359779232, 'n': 887, 'trace_an': -46716}
  • id: 63434422
    {'hecke_orbit_code': 81064793359779232, 'n': 907, 'trace_an': -33168}
  • id: 63434423
    {'hecke_orbit_code': 81064793359779232, 'n': 911, 'trace_an': -32040}
  • id: 63434424
    {'hecke_orbit_code': 81064793359779232, 'n': 919, 'trace_an': -46932}
  • id: 63434425
    {'hecke_orbit_code': 81064793359779232, 'n': 929, 'trace_an': 53404}
  • id: 63434426
    {'hecke_orbit_code': 81064793359779232, 'n': 937, 'trace_an': 86036}
  • id: 63434427
    {'hecke_orbit_code': 81064793359779232, 'n': 941, 'trace_an': -33884}
  • id: 63434428
    {'hecke_orbit_code': 81064793359779232, 'n': 947, 'trace_an': -10848}
  • id: 63434429
    {'hecke_orbit_code': 81064793359779232, 'n': 953, 'trace_an': 22896}
  • id: 63434430
    {'hecke_orbit_code': 81064793359779232, 'n': 961, 'trace_an': -50158}
  • id: 63434431
    {'hecke_orbit_code': 81064793359779232, 'n': 967, 'trace_an': 47580}
  • id: 63434432
    {'hecke_orbit_code': 81064793359779232, 'n': 971, 'trace_an': 30192}
  • id: 63434433
    {'hecke_orbit_code': 81064793359779232, 'n': 977, 'trace_an': -25368}
  • id: 63434434
    {'hecke_orbit_code': 81064793359779232, 'n': 983, 'trace_an': 6372}
  • id: 63434435
    {'hecke_orbit_code': 81064793359779232, 'n': 991, 'trace_an': -11436}
  • id: 63434436
    {'hecke_orbit_code': 81064793359779232, 'n': 997, 'trace_an': 5632}