Newform data - 147.16.a.b

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• 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': 37632, 'analytic_conductor': 209.759452496883, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, 1], [7, -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': [147, 1, [50, 52], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [0, 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': [[2, [72, 1]], [5, [-221490, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4503599895806099, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], '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': '147.16.a.b', 'level': 147, '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': [3, 7], 'level_radical': 21, 'minimal_twist': '3.16.a.b', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-72q^{2}-3^{7}q^{3}-27584q^{4}+221490q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '15.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '147.16.a', 'trace_display': [-72, -2187, 221490, 0], 'trace_hash': 1002557997941373256, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.011', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.958', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.030', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.878', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.102', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.636', 'prec': 17}], 'trace_zratio': 0, 'traces': [1, -72, -2187, -27584, 221490, 157464, 0, 4345344, 4782969, -15947280, 37169316, 60326208, 279974266, 0, -484398630, 591007744, -2492912754, -344373768, 4669782244, -6109580160, 0, -2676190752, -18467933400, -9503267328, 18540241975, -20158147152, -10460353203, 0, -115953449418, 34876701360, 56187023200, -184940789760, -81289294092, 179489718288, 0, -131933416896, 614764926830, -336224321568, -612303719742, 962450242560, -549859792410, 0, -982884444028, -1025278412544, 1059379803810, 1329691204800, -2076144322896, -1292533936128, 0, -1334897422200, 5452000192998, -7722810153344, -12048378188130, 753145430616, 8232631800840, 0, -10212813767628, 8348648358096, -23087905758324, 13361651809920, 8505809142442, -4045465670400, 0, -6050404892672, 62011500176340, 5852829174624, -12331010771476, 68764505406336, 40389370345800, 0, 58989192692472, 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• mf_hecke_nf •

  Column	Type
  an	jsonb
  ap	jsonb
  char_orbit_index	smallint
  field_poly	numeric[]
  hecke_orbit_code	bigint
  hecke_ring_character_values	jsonb
  hecke_ring_cyclotomic_generator	integer
  hecke_ring_denominators	numeric[]
  hecke_ring_inverse_denominators	numeric[]
  hecke_ring_inverse_numerators	numeric[]
  hecke_ring_numerators	numeric[]
  hecke_ring_power_basis	boolean
  hecke_ring_rank	integer
  label	text
  level	integer
  maxp	integer
  weight	smallint

  
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[-11117699508322154717779502], [-25104097471220049218153328], [-6351105647362954549826484], [205429291392228638860146886], [28355156397834509894930874], [-128114869948410861516988260], [-59930304913440033336575190], [-142515250128203353353311636], [127597472368513677476123256]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 4503599895806099, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '147.16.a.b', 'level': 147, 'maxp': 2999, 'weight': 16}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	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': [25, 26, 23, 28], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [4, 4, 4, 4], 'ALdims_old': [44, 41, 44, 41], 'Nk2': 37632, 'analytic_conductor': 209.759452496883, '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': [147, 1, [50, 52], [1, 1]], 'conrey_index': 1, 'cusp_dim': 272, 'dim': 102, 'eis_dim': 16, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 5], 'hecke_orbit_code': 268435603, 'hecke_orbit_dims': [1, 1, 3, 4, 4, 5, 8, 8, 9, 9, 11, 11, 14, 14], 'label': '147.16.a', 'level': 147, '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': [3, 7], 'level_radical': 21, 'mf_dim': 288, 'mf_new_dim': 102, 'num_forms': 14, 'plus_dim': 53, 'prim_orbit_index': 1, 'relative_dim': 102, 'sturm_bound': 298, 'trace_bound': 3, 'trace_display': 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• mf_twists_nf •

  Column	Type
  conductor	integer
  degree	integer
  multiplicity	smallint
  order	integer
  parity	smallint
  self_twist_disc	integer
  source_char_orbit	smallint
  source_dim	integer
  source_hecke_orbit	integer
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_char_orbit	smallint
  target_dim	integer
  target_hecke_orbit	integer
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_char_orbit	smallint
  weight	smallint

  
  
  • id: 126611
    {'conductor': 7, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '147.16.a.b', 'source_level': 147, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '3.16.a.b', 'target_level': 3, 'twist_class_label': '3.16.a.b', 'twist_class_level': 3, 'twisting_char_label': '7.b', 'twisting_char_orbit': 2, 'weight': 16}
  • id: 126612
    {'conductor': 21, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '147.16.a.b', 'source_level': 147, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '9.16.a.c', 'target_level': 9, 'twist_class_label': '3.16.a.b', 'twist_class_level': 3, 'twisting_char_label': '21.c', 'twisting_char_orbit': 3, 'weight': 16}
  • id: 126613
    {'conductor': 28, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '147.16.a.b', 'source_level': 147, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '48.16.a.a', 'target_level': 48, 'twist_class_label': '3.16.a.b', 'twist_class_level': 3, 'twisting_char_label': '28.d', 'twisting_char_orbit': 4, 'weight': 16}
  • id: 126614
    {'conductor': 35, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '147.16.a.b', 'source_level': 147, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '75.16.a.a', 'target_level': 75, 'twist_class_label': '3.16.a.b', 'twist_class_level': 3, 'twisting_char_label': '35.c', 'twisting_char_orbit': 3, 'weight': 16}
  • id: 126615
    {'conductor': 35, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '147.16.a.b', 'source_level': 147, 'target_char_orbit': 2, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '75.16.b.b', 'target_level': 75, 'twist_class_label': '3.16.a.b', 'twist_class_level': 3, 'twisting_char_label': '35.f', 'twisting_char_orbit': 6, 'weight': 16}
  • id: 126616
    {'conductor': 84, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '147.16.a.b', 'source_level': 147, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 12, 'target_is_minimal': False, 'target_label': '144.16.a.l', 'target_level': 144, 'twist_class_label': '3.16.a.b', 'twist_class_level': 3, 'twisting_char_label': '84.h', 'twisting_char_orbit': 8, 'weight': 16}
  • id: 126617
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '147.16.a.b', 'source_level': 147, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '147.16.a.b', 'target_level': 147, 'twist_class_label': '3.16.a.b', 'twist_class_level': 3, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 16}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 395625
    {'charpoly_factorization': [[[72, 1], 1]], 'hecke_orbit_code': 4503599895806099, 'p': 2}
  • id: 395626
    {'charpoly_factorization': [[[2187, 1], 1]], 'hecke_orbit_code': 4503599895806099, 'p': 3}
  • id: 395627
    {'charpoly_factorization': [[[-221490, 1], 1]], 'hecke_orbit_code': 4503599895806099, 'p': 5}
  • id: 395628
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 4503599895806099, 'p': 7}
  • id: 395629
    {'charpoly_factorization': [[[-37169316, 1], 1]], 'hecke_orbit_code': 4503599895806099, 'p': 11}
  • id: 395630
    {'charpoly_factorization': [[[-279974266, 1], 1]], 'hecke_orbit_code': 4503599895806099, 'p': 13}
  • id: 395631
    {'charpoly_factorization': [[[2492912754, 1], 1]], 'hecke_orbit_code': 4503599895806099, 'p': 17}
  • id: 395632
    {'charpoly_factorization': [[[-4669782244, 1], 1]], 'hecke_orbit_code': 4503599895806099, 'p': 19}
  • id: 395633
    {'charpoly_factorization': [[[18467933400, 1], 1]], 'hecke_orbit_code': 4503599895806099, 'p': 23}
  • id: 395634
    {'charpoly_factorization': [[[115953449418, 1], 1]], 'hecke_orbit_code': 4503599895806099, 'p': 29}
  • id: 395635
    {'charpoly_factorization': [[[-56187023200, 1], 1]], 'hecke_orbit_code': 4503599895806099, 'p': 31}
  • id: 395636
    {'charpoly_factorization': [[[-614764926830, 1], 1]], 'hecke_orbit_code': 4503599895806099, 'p': 37}
  • id: 395637
    {'charpoly_factorization': [[[549859792410, 1], 1]], 'hecke_orbit_code': 4503599895806099, 'p': 41}
  • id: 395638
    {'charpoly_factorization': [[[982884444028, 1], 1]], 'hecke_orbit_code': 4503599895806099, 'p': 43}
  • id: 395639
    {'charpoly_factorization': [[[2076144322896, 1], 1]], 'hecke_orbit_code': 4503599895806099, 'p': 47}
  • id: 395640
    {'charpoly_factorization': [[[12048378188130, 1], 1]], 'hecke_orbit_code': 4503599895806099, 'p': 53}
  • id: 395641
    {'charpoly_factorization': [[[23087905758324, 1], 1]], 'hecke_orbit_code': 4503599895806099, 'p': 59}
  • id: 395642
    {'charpoly_factorization': [[[-8505809142442, 1], 1]], 'hecke_orbit_code': 4503599895806099, 'p': 61}
  • id: 395643
    {'charpoly_factorization': [[[12331010771476, 1], 1]], 'hecke_orbit_code': 4503599895806099, 'p': 67}
  • id: 395644
    {'charpoly_factorization': [[[-58989192692472, 1], 1]], 'hecke_orbit_code': 4503599895806099, 'p': 71}
  • id: 395645
    {'charpoly_factorization': [[[-5609828808070, 1], 1]], 'hecke_orbit_code': 4503599895806099, 'p': 73}
  • id: 395646
    {'charpoly_factorization': [[[-159918683826800, 1], 1]], 'hecke_orbit_code': 4503599895806099, 'p': 79}
  • id: 395647
    {'charpoly_factorization': [[[57675894342876, 1], 1]], 'hecke_orbit_code': 4503599895806099, 'p': 83}
  • id: 395648
    {'charpoly_factorization': [[[-362287610413974, 1], 1]], 'hecke_orbit_code': 4503599895806099, 'p': 89}
  • id: 395649
    {'charpoly_factorization': [[[-539786645144926, 1], 1]], 'hecke_orbit_code': 4503599895806099, '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': 2, 'label': '147.16.a.b', 'level': 147, 'portrait': 'data:image/png;base64,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', 'weight': 16}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 19943982
    {'hecke_orbit_code': 4503599895806099, 'n': 1, 'trace_an': 1}
  • id: 19943983
    {'hecke_orbit_code': 4503599895806099, 'n': 2, 'trace_an': -72}
  • id: 19943984
    {'hecke_orbit_code': 4503599895806099, 'n': 3, 'trace_an': -2187}
  • id: 19943985
    {'hecke_orbit_code': 4503599895806099, 'n': 4, 'trace_an': -27584}
  • id: 19943986
    {'hecke_orbit_code': 4503599895806099, 'n': 5, 'trace_an': 221490}
  • id: 19943987
    {'hecke_orbit_code': 4503599895806099, 'n': 6, 'trace_an': 157464}
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