Embedded newform data - 3.9.b.a.2.1

Formats: - HTML - YAML - JSON - 2024-04-23T17:59:08.855595

• 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
  conrey_indexes	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_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	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': 243, 'analytic_conductor': 1.2221358301833816, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 3, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': -1, 'char_values': [3, 2, [2], [1]], 'cm_discs': [], 'conrey_index': 2, 'conrey_indexes': [2], 'dim': 2, 'field_disc': -56, 'field_disc_factorization': [[-1, 1], [2, 3], [7, 1]], 'field_poly': [14, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 68870471683, 'hecke_ring_generator_nbound': 2, 'hecke_ring_index': 6, 'hecke_ring_index_factorization': [[2, 1], [3, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '3.9.b.a', 'level': 3, 'level_is_prime': True, 'level_is_prime_power': True, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [3], 'level_radical': 3, 'minimal_twist': '3.9.b.a', 'nf_label': '2.0.56.1', 'prim_orbit_index': 2, 'qexp_display': 'q+\\beta q^{2}+(45-3\\beta )q^{3}-248q^{4}-10\\beta q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '8.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '3.9.b', 'trace_display': [0, 90, 0, -3500], 'trace_hash': 433966425505919913, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.010', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.954', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.242', 'prec': 17}, {'__RealLiteral__': 0, 'data': '15.113', 'prec': 20}, {'__RealLiteral__': 0, 'data': '4.205', 'prec': 17}, {'__RealLiteral__': 0, 'data': '146.243', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.508', 'prec': 17}, 'traces': [2, 0, 90, -496, 0, 3024, -3500, 0, -5022, 10080, 0, -22320, 51460, 0, -30240, -135040, 0, 272160, 37876, 0, -157500, -312480, 0, 24192, 680450, 0, -1042470, 868000, 0, 453600, -702956, 0, 937440, -3362688, 0, 1245456, 2670340, 0, 2315700, 80640, 0, -5292000, -7052300, 0, -2721600, 21123648, 0, -6076800, -5404602, 0, 10088064, -12762080, 0, 4653936, 3124800, 0, 1704420, -20694240, 0, 7499520, 1507204, 0, 8788500, 31425536, 0, -14061600, 4537780, 0, -63370944, -17640000, 0, 2177280, 55345540, 0, 30620250, -9393248, 0, 77807520, -45961964, 0, -60872958, -84208320, 0, 39060000, 33626880, 0, 62082720, -2499840, 0, -25310880, -90055000, 0, -31633020, 183238272, 0, -197987328, 294542020, 0, 84369600, -168751600, 0, -151320960, -332127020, 0, 52920000, 296418528, 0, 258532560, -219950204, 0, 120165300, 236320000, 0, 57268512, -211236480, 0, -129216060, -615797280, 0, 3628800, 331848962, 0, 252624960, 174333088, 0, -476280000, 551987860, 0, -317353500, 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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

  
  {'an_normalized': [[1.0, 0.0], [0.0, -1.403121520040228], [0.5555555555555556, 0.8314794192830981], [-0.96875, 0.0], [0.0, 0.3591991091302984], [1.1666666666666667, -0.7795119555779044], [-0.7288629737609329, 0.0], [0.0, -0.04384754750125713], [-0.38271604938271603, 0.9238660214256645], [0.504, 0.0], [0.0, -0.47534203533908415], [-0.5381944444444444, -0.8054956874305013], [0.9008788207695809, 0.0], [0.0, 1.022683323644481], [-0.2986666666666667, 0.19955506062794354], [-1.0302734375, 0.0], [0.0, -0.8966968098282733], [1.2962962962962963, 0.5369971249536675], [0.14531809915516303, 0.0], [0.0, -0.34797413696997653], [-0.4049238743116294, -0.6060345621596925], [-0.6669626391639916, 0.0], [0.0, 1.6811726415479087], [0.036458333333333336, -0.024359748611809513], [0.870976, 0.0], [0.0, -1.2640424603702625], [-0.9807956104252401, 0.19503838230097362], [0.7060860058309038, 0.0], [0.0, -0.6516467385704042], [0.28, 0.4190656273186814], [-0.3805847403578262, 0.0], [0.0, 1.4017512841808137], 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-0.12753536724105627, 0.0912695493856582, -0.38528832497219706, -0.27175781893591333, -0.33770208758551135, -0.19031255637356673, 0.022479184504162072, -0.2953751497268126, 0.15582001908671406, -0.48150281580946364, -0.3008109280347312, -0.39359831990919486, -0.3300472783837888, -0.419250923530332, -0.27240457941274154, -0.4921723887954372, -0.36993445782220863, 0.0631090919797059, -0.12818277140246975, 0.0029597852539806173, -0.16563983892745293, -0.47849485225625865, -0.33311336377421485, -0.4385924210744461, -0.15693561572799042, -0.38652322324443483, -0.3986549574868345, 0.04727959057948085, -0.22941094359535438, -0.3479037070532749, 0.15971511090582, 0.04916823945805273, -0.23989226572530684, 0.02656519480004938, 0.05424177541752593, 0.22274956736660007, -0.2979440998945744, -0.380662871657741], 'char_orbit_index': 2, 'conrey_index': 2, 'dual_conrey_index': 2, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': -3.7416573867739413, 'embedding_root_real': 0.0, 'hecke_orbit': 1, 'hecke_orbit_code': 68870471683, 'label': '3.9.b.a.2.1', 'level': 3, 'weight': 9}
• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  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_prime	boolean
  level_is_prime_power	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

  
  {'Nk2': 243, 'analytic_conductor': 1.2221358301833816, 'char_conductor': 3, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': -1, 'char_values': [3, 2, [2], [1]], 'conrey_index': 2, 'cusp_dim': 2, 'dim': 2, 'eis_dim': 2, 'eis_new_dim': 2, 'hecke_cutter_primes': [], 'hecke_orbit_code': 68870471683, 'hecke_orbit_dims': [2], 'label': '3.9.b', 'level': 3, 'level_is_prime': True, 'level_is_prime_power': True, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [3], 'level_radical': 3, 'mf_dim': 4, 'mf_new_dim': 4, 'num_forms': 1, 'prim_orbit_index': 2, 'relative_dim': 2, 'sturm_bound': 3, 'trace_bound': 0, 'trace_display': [0, 90, 0, -3500], 'traces': [2, 0, 90, -496, 0, 3024, -3500, 0, -5022, 10080, 0, -22320, 51460, 0, -30240, -135040, 0, 272160, 37876, 0, -157500, -312480, 0, 24192, 680450, 0, -1042470, 868000, 0, 453600, -702956, 0, 937440, -3362688, 0, 1245456, 2670340, 0, 2315700, 80640, 0, 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• 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: 700787
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 2, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 68870471683, 'source_is_minimal': True, 'source_label': '3.9.b.a.2.1', 'source_level': 3, 'target_conrey_index': 2, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 68870471683, 'target_is_minimal': True, 'target_label': '3.9.b.a.2.1', 'target_level': 3, 'twist_class_label': '3.9.b.a.2.1', 'twist_class_level': 3, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 9}
  • id: 700788
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 2, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 68870471683, 'source_is_minimal': True, 'source_label': '3.9.b.a.2.1', 'source_level': 3, 'target_conrey_index': 2, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 68870471683, 'target_is_minimal': True, 'target_label': '3.9.b.a.2.2', 'target_level': 3, 'twist_class_label': '3.9.b.a.2.1', 'twist_class_level': 3, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 9}
  • id: 700789
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 2, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 68870471683, 'source_is_minimal': True, 'source_label': '3.9.b.a.2.1', 'source_level': 3, 'target_conrey_index': 17, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503874656272432, 'target_is_minimal': False, 'target_label': '48.9.e.b.17.1', 'target_level': 48, 'twist_class_label': '3.9.b.a.2.1', 'twist_class_level': 3, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 9}
  • id: 700790
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 2, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 68870471683, 'source_is_minimal': True, 'source_label': '3.9.b.a.2.1', 'source_level': 3, 'target_conrey_index': 74, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 4503805936795723, 'target_is_minimal': False, 'target_label': '75.9.d.b.74.3', 'target_level': 75, 'twist_class_label': '3.9.b.a.2.1', 'twist_class_level': 3, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 9}
  • id: 700791
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 2, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 68870471683, 'source_is_minimal': True, 'source_label': '3.9.b.a.2.1', 'source_level': 3, 'target_conrey_index': 74, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4503805936795723, 'target_is_minimal': False, 'target_label': '75.9.d.b.74.2', 'target_level': 75, 'twist_class_label': '3.9.b.a.2.1', 'twist_class_level': 3, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 9}
  • id: 700792
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 2, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 68870471683, 'source_is_minimal': True, 'source_label': '3.9.b.a.2.1', 'source_level': 3, 'target_conrey_index': 26, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9007336844689483, 'target_is_minimal': False, 'target_label': '75.9.c.c.26.2', 'target_level': 75, 'twist_class_label': '3.9.b.a.2.1', 'twist_class_level': 3, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 9}
  • id: 700793
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 2, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 68870471683, 'source_is_minimal': True, 'source_label': '3.9.b.a.2.1', 'source_level': 3, 'target_conrey_index': 65, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 22518273165754560, 'target_is_minimal': False, 'target_label': '192.9.e.f.65.2', 'target_level': 192, 'twist_class_label': '3.9.b.a.2.1', 'twist_class_level': 3, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 9}
  • id: 700794
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 2, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 68870471683, 'source_is_minimal': True, 'source_label': '3.9.b.a.2.1', 'source_level': 3, 'target_conrey_index': 65, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014673538384064, 'target_is_minimal': False, 'target_label': '192.9.e.e.65.1', 'target_level': 192, 'twist_class_label': '3.9.b.a.2.1', 'twist_class_level': 3, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 9}
  • id: 700795
    {'conductor': 9, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 2, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 68870471683, 'source_is_minimal': True, 'source_label': '3.9.b.a.2.1', 'source_level': 3, 'target_conrey_index': 53, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 13511005191536721, 'target_is_minimal': False, 'target_label': '81.9.d.d.53.2', 'target_level': 81, 'twist_class_label': '3.9.b.a.2.1', 'twist_class_level': 3, 'twisting_char_label': '9.2', 'twisting_conrey_index': 2, 'weight': 9}
  • id: 700796
    {'conductor': 9, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 2, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 68870471683, 'source_is_minimal': True, 'source_label': '3.9.b.a.2.1', 'source_level': 3, 'target_conrey_index': 26, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 13511005191536721, 'target_is_minimal': False, 'target_label': '81.9.d.d.26.2', 'target_level': 81, 'twist_class_label': '3.9.b.a.2.1', 'twist_class_level': 3, 'twisting_char_label': '9.4', 'twisting_conrey_index': 4, 'weight': 9}
  • id: 700797
    {'conductor': 9, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 2, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 68870471683, 'source_is_minimal': True, 'source_label': '3.9.b.a.2.1', 'source_level': 3, 'target_conrey_index': 26, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13511005191536721, 'target_is_minimal': False, 'target_label': '81.9.d.d.26.1', 'target_level': 81, 'twist_class_label': '3.9.b.a.2.1', 'twist_class_level': 3, 'twisting_char_label': '9.5', 'twisting_conrey_index': 5, 'weight': 9}
  • id: 700798
    {'conductor': 9, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 2, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 68870471683, 'source_is_minimal': True, 'source_label': '3.9.b.a.2.1', 'source_level': 3, 'target_conrey_index': 53, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13511005191536721, 'target_is_minimal': False, 'target_label': '81.9.d.d.53.1', 'target_level': 81, 'twist_class_label': '3.9.b.a.2.1', 'twist_class_level': 3, 'twisting_char_label': '9.7', 'twisting_conrey_index': 7, 'weight': 9}
  • id: 700799
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 2, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 68870471683, 'source_is_minimal': True, 'source_label': '3.9.b.a.2.1', 'source_level': 3, 'target_conrey_index': 17, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4503874656272432, 'target_is_minimal': False, 'target_label': '48.9.e.b.17.2', 'target_level': 48, 'twist_class_label': '3.9.b.a.2.1', 'twist_class_level': 3, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 9}
  • id: 700800
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 2, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 68870471683, 'source_is_minimal': True, 'source_label': '3.9.b.a.2.1', 'source_level': 3, 'target_conrey_index': 74, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503805936795723, 'target_is_minimal': False, 'target_label': '75.9.d.b.74.1', 'target_level': 75, 'twist_class_label': '3.9.b.a.2.1', 'twist_class_level': 3, 'twisting_char_label': '15.2', 'twisting_conrey_index': 2, 'weight': 9}
  • id: 700801
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 2, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 68870471683, 'source_is_minimal': True, 'source_label': '3.9.b.a.2.1', 'source_level': 3, 'target_conrey_index': 74, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 4503805936795723, 'target_is_minimal': False, 'target_label': '75.9.d.b.74.4', 'target_level': 75, 'twist_class_label': '3.9.b.a.2.1', 'twist_class_level': 3, 'twisting_char_label': '15.8', 'twisting_conrey_index': 8, 'weight': 9}
  • id: 700802
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 2, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 68870471683, 'source_is_minimal': True, 'source_label': '3.9.b.a.2.1', 'source_level': 3, 'target_conrey_index': 26, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007336844689483, 'target_is_minimal': False, 'target_label': '75.9.c.c.26.1', 'target_level': 75, 'twist_class_label': '3.9.b.a.2.1', 'twist_class_level': 3, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 9}
  • id: 700803
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 2, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 68870471683, 'source_is_minimal': True, 'source_label': '3.9.b.a.2.1', 'source_level': 3, 'target_conrey_index': 65, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 18014673538384064, 'target_is_minimal': False, 'target_label': '192.9.e.e.65.2', 'target_level': 192, 'twist_class_label': '3.9.b.a.2.1', 'twist_class_level': 3, 'twisting_char_label': '24.5', 'twisting_conrey_index': 5, 'weight': 9}
  • id: 700804
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 2, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 68870471683, 'source_is_minimal': True, 'source_label': '3.9.b.a.2.1', 'source_level': 3, 'target_conrey_index': 65, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22518273165754560, 'target_is_minimal': False, 'target_label': '192.9.e.f.65.1', 'target_level': 192, 'twist_class_label': '3.9.b.a.2.1', 'twist_class_level': 3, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 9}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 8750
    {'charpoly_factorization': [[[504, 0, 1], 1]], 'hecke_orbit_code': 68870471683, 'p': 2}
  • id: 8751
    {'charpoly_factorization': [[[6561, -90, 1], 1]], 'hecke_orbit_code': 68870471683, 'p': 3}
  • id: 8752
    {'charpoly_factorization': [[[50400, 0, 1], 1]], 'hecke_orbit_code': 68870471683, 'p': 5}
  • id: 8753
    {'charpoly_factorization': [[[1750, 1], 2]], 'hecke_orbit_code': 68870471683, 'p': 7}
  • id: 8754
    {'charpoly_factorization': [[[48434400, 0, 1], 1]], 'hecke_orbit_code': 68870471683, 'p': 11}
  • id: 8755
    {'charpoly_factorization': [[[-25730, 1], 2]], 'hecke_orbit_code': 68870471683, 'p': 13}
  • id: 8756
    {'charpoly_factorization': [[[5608963584, 0, 1], 1]], 'hecke_orbit_code': 68870471683, 'p': 17}
  • id: 8757
    {'charpoly_factorization': [[[-18938, 1], 2]], 'hecke_orbit_code': 68870471683, 'p': 19}
  • id: 8758
    {'charpoly_factorization': [[[221333583744, 0, 1], 1]], 'hecke_orbit_code': 68870471683, 'p': 23}
  • id: 8759
    {'charpoly_factorization': [[[212426373600, 0, 1], 1]], 'hecke_orbit_code': 68870471683, 'p': 29}
  • id: 8760
    {'charpoly_factorization': [[[351478, 1], 2]], 'hecke_orbit_code': 68870471683, 'p': 31}
  • id: 8761
    {'charpoly_factorization': [[[-1335170, 1], 2]], 'hecke_orbit_code': 68870471683, 'p': 37}
  • id: 8762
    {'charpoly_factorization': [[[3517381526400, 0, 1], 1]], 'hecke_orbit_code': 68870471683, 'p': 41}
  • id: 8763
    {'charpoly_factorization': [[[3526150, 1], 2]], 'hecke_orbit_code': 68870471683, 'p': 43}
  • id: 8764
    {'charpoly_factorization': [[[16654893018624, 0, 1], 1]], 'hecke_orbit_code': 68870471683, 'p': 47}
  • id: 8765
    {'charpoly_factorization': [[[43583305427424, 0, 1], 1]], 'hecke_orbit_code': 68870471683, 'p': 53}
  • id: 8766
    {'charpoly_factorization': [[[188098358162400, 0, 1], 1]], 'hecke_orbit_code': 68870471683, 'p': 59}
  • id: 8767
    {'charpoly_factorization': [[[-753602, 1], 2]], 'hecke_orbit_code': 68870471683, 'p': 61}
  • id: 8768
    {'charpoly_factorization': [[[-2268890, 1], 2]], 'hecke_orbit_code': 68870471683, 'p': 67}
  • id: 8769
    {'charpoly_factorization': [[[289748374473600, 0, 1], 1]], 'hecke_orbit_code': 68870471683, 'p': 71}
  • id: 8770
    {'charpoly_factorization': [[[-27672770, 1], 2]], 'hecke_orbit_code': 68870471683, 'p': 73}
  • id: 8771
    {'charpoly_factorization': [[[22980982, 1], 2]], 'hecke_orbit_code': 68870471683, 'p': 79}
  • id: 8772
    {'charpoly_factorization': [[[2152513621054944, 0, 1], 1]], 'hecke_orbit_code': 68870471683, 'p': 83}
  • id: 8773
    {'charpoly_factorization': [[[5272973501846400, 0, 1], 1]], 'hecke_orbit_code': 68870471683, 'p': 89}
  • id: 8774
    {'charpoly_factorization': [[[-147271010, 1], 2]], 'hecke_orbit_code': 68870471683, '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': 2, 'hecke_orbit': 1, 'label': '3.9.b.a', 'level': 3, 'portrait': 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', 'weight': 9}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 19575000
    {'hecke_orbit_code': 68870471683, 'n': 1, 'trace_an': 2}
  • id: 19575001
    {'hecke_orbit_code': 68870471683, 'n': 2, 'trace_an': 0}
  • id: 19575002
    {'hecke_orbit_code': 68870471683, 'n': 3, 'trace_an': 90}
  • id: 19575003
    {'hecke_orbit_code': 68870471683, 'n': 4, 'trace_an': -496}
  • id: 19575004
    {'hecke_orbit_code': 68870471683, 'n': 5, 'trace_an': 0}
  • id: 19575005
    {'hecke_orbit_code': 68870471683, 'n': 6, 'trace_an': 3024}
  • id: 19575006
    {'hecke_orbit_code': 68870471683, 'n': 7, 'trace_an': -3500}
  • id: 19575007
    {'hecke_orbit_code': 68870471683, 'n': 8, 'trace_an': 0}
  • id: 19575008
    {'hecke_orbit_code': 68870471683, 'n': 9, 'trace_an': -5022}
  • id: 19575009
    {'hecke_orbit_code': 68870471683, 'n': 10, 'trace_an': 10080}
  • id: 19575010
    {'hecke_orbit_code': 68870471683, 'n': 11, 'trace_an': 0}
  • id: 19575011
    {'hecke_orbit_code': 68870471683, 'n': 12, 'trace_an': -22320}
  • id: 19575012
    {'hecke_orbit_code': 68870471683, 'n': 13, 'trace_an': 51460}
  • id: 19575013
    {'hecke_orbit_code': 68870471683, 'n': 14, 'trace_an': 0}
  • id: 19575014
    {'hecke_orbit_code': 68870471683, 'n': 15, 'trace_an': -30240}
  • id: 19575015
    {'hecke_orbit_code': 68870471683, 'n': 16, 'trace_an': -135040}
  • id: 19575016
    {'hecke_orbit_code': 68870471683, 'n': 17, 'trace_an': 0}
  • id: 19575017
    {'hecke_orbit_code': 68870471683, 'n': 18, 'trace_an': 272160}
  • id: 19575018
    {'hecke_orbit_code': 68870471683, 'n': 19, 'trace_an': 37876}
  • id: 19575019
    {'hecke_orbit_code': 68870471683, 'n': 20, 'trace_an': 0}
  • id: 19575020
    {'hecke_orbit_code': 68870471683, 'n': 21, 'trace_an': -157500}
  • id: 19575021
    {'hecke_orbit_code': 68870471683, 'n': 22, 'trace_an': -312480}
  • id: 19575022
    {'hecke_orbit_code': 68870471683, 'n': 23, 'trace_an': 0}
  • id: 19575023
    {'hecke_orbit_code': 68870471683, 'n': 24, 'trace_an': 24192}
  • id: 19575024
    {'hecke_orbit_code': 68870471683, 'n': 25, 'trace_an': 680450}
  • id: 19575025
    {'hecke_orbit_code': 68870471683, 'n': 26, 'trace_an': 0}
  • id: 19575026
    {'hecke_orbit_code': 68870471683, 'n': 27, 'trace_an': -1042470}
  • id: 19575027
    {'hecke_orbit_code': 68870471683, 'n': 28, 'trace_an': 868000}
  • id: 19575028
    {'hecke_orbit_code': 68870471683, 'n': 29, 'trace_an': 0}
  • id: 19575029
    {'hecke_orbit_code': 68870471683, 'n': 30, 'trace_an': 453600}
  • id: 19575030
    {'hecke_orbit_code': 68870471683, 'n': 31, 'trace_an': -702956}
  • id: 19575031
    {'hecke_orbit_code': 68870471683, 'n': 32, 'trace_an': 0}
  • id: 19575032
    {'hecke_orbit_code': 68870471683, 'n': 33, 'trace_an': 937440}
  • id: 19575033
    {'hecke_orbit_code': 68870471683, 'n': 34, 'trace_an': -3362688}
  • id: 19575034
    {'hecke_orbit_code': 68870471683, 'n': 35, 'trace_an': 0}
  • id: 19575035
    {'hecke_orbit_code': 68870471683, 'n': 36, 'trace_an': 1245456}
  • id: 19575036
    {'hecke_orbit_code': 68870471683, 'n': 37, 'trace_an': 2670340}
  • id: 19575037
    {'hecke_orbit_code': 68870471683, 'n': 38, 'trace_an': 0}
  • id: 19575038
    {'hecke_orbit_code': 68870471683, 'n': 39, 'trace_an': 2315700}
  • id: 19575039
    {'hecke_orbit_code': 68870471683, 'n': 40, 'trace_an': 80640}
  • id: 19575040
    {'hecke_orbit_code': 68870471683, 'n': 41, 'trace_an': 0}
  • id: 19575041
    {'hecke_orbit_code': 68870471683, 'n': 42, 'trace_an': -5292000}
  • id: 19575042
    {'hecke_orbit_code': 68870471683, 'n': 43, 'trace_an': -7052300}
  • id: 19575043
    {'hecke_orbit_code': 68870471683, 'n': 44, 'trace_an': 0}
  • id: 19575044
    {'hecke_orbit_code': 68870471683, 'n': 45, 'trace_an': -2721600}
  • id: 19575045
    {'hecke_orbit_code': 68870471683, 'n': 46, 'trace_an': 21123648}
  • id: 19575046
    {'hecke_orbit_code': 68870471683, 'n': 47, 'trace_an': 0}
  • id: 19575047
    {'hecke_orbit_code': 68870471683, 'n': 48, 'trace_an': -6076800}
  • id: 19575048
    {'hecke_orbit_code': 68870471683, 'n': 49, 'trace_an': -5404602}
  • id: 19575049
    {'hecke_orbit_code': 68870471683, 'n': 50, 'trace_an': 0}
  • id: 19575050
    {'hecke_orbit_code': 68870471683, 'n': 51, 'trace_an': 10088064}
  • id: 19575051
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  • id: 19575054
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  • id: 19575055
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  • id: 19575056
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  • id: 19575057
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  • id: 19575058
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  • id: 19575059
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  • id: 19575060
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  • id: 19575061
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  • id: 19575062
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  • id: 19575063
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  • id: 19575064
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  • id: 19575065
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  • id: 19575066
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  • id: 19575067
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  • id: 19575068
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  • id: 19575073
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  • id: 19575074
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  • id: 19575075
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  • id: 19575076
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  • id: 19575077
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  • id: 19575078
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  • id: 19575092
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  • id: 19575095
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  • id: 19575164
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  • id: 19575168
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