Newform data - 1664.2.a.b

Formats: - HTML - YAML - JSON - 2026-07-26T23:11:00.726842

• 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': 6656, 'analytic_conductor': 13.287106896341056, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [13, -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': [1664, 1, [1535, 261, 769], [1, 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': [[3, [3, 1]], [5, [-3, 1]], [7, [-1, 1]], [11, [4, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4503599660926592, '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': True, 'label': '1664.2.a.b', 'level': 1664, '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, 13], 'level_radical': 26, 'minimal_twist': '1664.2.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-3q^{3}+3q^{5}+q^{7}+6q^{9}-4q^{11}+\\cdots', 'related_objects': ['EllipticCurve/Q/1664/b'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1664.2.a', 'trace_display': [0, -3, 3, 1], 'trace_hash': 1689662514392277804, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.021', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.071', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.257', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.015', 'prec': 17}, 'traces': [1, 0, -3, 0, 3, 0, 1, 0, 6, 0, -4, 0, 1, 0, -9, 0, -7, 0, -6, 0, -3, 0, 6, 0, 4, 0, -9, 0, 0, 0, 8, 0, 12, 0, 3, 0, -9, 0, -3, 0, -6, 0, -5, 0, 18, 0, 5, 0, -6, 0, 21, 0, 6, 0, -12, 0, 18, 0, 0, 0, -2, 0, 6, 0, 3, 0, 2, 0, -18, 0, -9, 0, 8, 0, -12, 0, -4, 0, -8, 0, 9, 0, -4, 0, -21, 0, 0, 0, 14, 0, 1, 0, -24, 0, -18, 0, -16, 0, -24, 0, -4, 0, -16, 0, -9, 0, -12, 0, -5, 0, 27, 0, -18, 0, 18, 0, 6, 0, -7, 0, 5, 0, 18, 0, -3, 0, 14, 0, 15, 0, -1, 0, -6, 0, -27, 0, -10, 0, -5, 0, -15, 0, -4, 0, 0, 0, 18, 0, -2, 0, -17, 0, -42, 0, 24, 0, 8, 0, -18, 0, 6, 0, 10, 0, 36, 0, 12, 0, 1, 0, -36, 0, 24, 0, 4, 0, 0, 0, -5, 0, 12, 0, 6, 0, -27, 0, 28, 0, -9, 0, -20, 0, 4, 0, -9, 0, 13, 0, 14, 0, -6, 0, 0, 0, -18, 0, 36, 0, 24, 0, -25, 0, 27, 0, -15, 0, 8, 0, -24, 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0, -126, 0, -27, 0, 0, 0, 96, 0, -90, 0, -84, 0, -54, 0, -17, 0, 0, 0, 36, 0, 23, 0, -64, 0, -33, 0, 19, 0, 28, 0, 48, 0, 72, 0, -46, 0, -114, 0, 46, 0, -5, 0, -90, 0, -94, 0, -64, 0, -90, 0, -12, 0, 33, 0, -9, 0, 76, 0, -72, 0, -69, 0, 0, 0, 44, 0, -12, 0, -24, 0, 41, 0, -96, 0, -63, 0, -18, 0, 90, 0, -20, 0, -27, 0, -78, 0, 6, 0, 30, 0, 156, 0, -90, 0, -40, 0, -126, 0, 12, 0, -64, 0, -108, 0, -30, 0, 4, 0, 72, 0, 24, 0, 18, 0, 36, 0, 92, 0, 57, 0, 87, 0, -16, 0, 17, 0, -60, 0, 9, 0, 14, 0, -9, 0, 0, 0, 41, 0, -15, 0, -3, 0, 66, 0, -120, 0, -74, 0, -66, 0, 162, 0, 24, 0, 6, 0, -111, 0, 13, 0, -36, 0, 162, 0, 119, 0, 2, 0, -42, 0, -32, 0, -64, 0, 132, 0, 36, 0, 0, 0, -36, 0, -60, 0, 14, 0, 57, 0, -34, 0, -14, 0, -216, 0, -36, 0, -108, 0, 192, 0, 60, 0, -15, 0, -96, 0, 42, 0, -16, 0, -6, 0, 36, 0, -70, 0, 144, 0, -42, 0, 10, 0, 9, 0, 81, 0, 60, 0, 81, 0, 0, 0, -168, 0, -30, 0, 0, 0, 30, 0, -99, 0, 39, 0, 48, 0, -3, 0, 72, 0, -10, 0, 0, 0, 0, 0, -44, 0, -90, 0, 53, 0, -18, 0, -42, 0, -56, 0, 45, 0, 0, 0, -48, 0, 74, 0, 90, 0, 23, 0, 34, 0, 45, 0, 28, 0, 90, 0, 36, 0, -59, 0, 72, 0, 0, 0, 50, 0, -72, 0, 126, 0, -33, 0, 39, 0, -30, 0, -7, 0, -11, 0, -108, 0, 24, 0, 79, 0, 111, 0, 36, 0, -20, 0, 36, 0, 45, 0, -76, 0, 96, 0, -69, 0, -42, 0, -48, 0, 43, 0, -25, 0, -36, 0, -12, 0, 7, 0, 3, 0, -18, 0, 0, 0, 0, 0, 112, 0, -32, 0, -24, 0, -24, 0, 7, 0, 27, 0, -70, 0, 0, 0, 108, 0, -56, 0, 34, 0, 144, 0, 30, 0, -9, 0, -36, 0, -75, 0, -34, 0, -108, 0, -15, 0, 53, 0, -84, 0, 12, 0, -100, 0, -252, 0, -18, 0, -17, 0, -126, 0, 0, 0, 117, 0, -102, 0, -28, 0, 8, 0, 177, 0, -72, 0, 108, 0, 108, 0, 12, 0, -71, 0, 27, 0, 52, 0, -84, 0, 108, 0, 89, 0, 81, 0, -24, 0, 36, 0, -45, 0, 36, 0, -81, 0, -59, 0, 123, 0, 32, 0, -10, 0, 180, 0, -10, 0, 102, 0, 0, 0, -7, 0, -18, 0, 30, 0, -1, 0, -10, 0, -99, 0, 72, 0, -56, 0, 108, 0, 0, 0, -56, 0, -36, 0, 74, 0, 3, 0, 99, 0, 6, 0, -12, 0, 252, 0, -40, 0, 54, 0, 21, 0, -72, 0, 22, 0, 15, 0, 84, 0, 72, 0, 24, 0, 80, 0, 0, 0, 54, 0, 9, 0, 90, 0, 168, 0, -43, 0, -168, 0, 45, 0, -144, 0, -17, 0, -3, 0, 10, 0, 68, 0, -117, 0, -102, 0, -24, 0, 30, 0, 51, 0, -96, 0, 90, 0, 20, 0, 86, 0, 90, 0, -28, 0, -23, 0, 24, 0, 76, 0, -48, 0, -126, 0, 0, 0, 12, 0, -96, 0, -48, 0, 108, 0, -81, 0, -24, 0], 'weight': 2, 'weight_parity': 1}
• 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

  
  {'an': [[1], [0], [-3], [0], [3], [0], [1], [0], [6], [0], [-4], [0], [1], [0], [-9], [0], [-7], [0], [-6], [0], [-3], [0], [6], [0], [4], [0], [-9], [0], [0], [0], [8], [0], [12], [0], [3], [0], [-9], [0], [-3], [0], [-6], [0], [-5], [0], [18], [0], [5], [0], [-6], [0], [21], [0], [6], [0], [-12], [0], [18], [0], [0], [0], [-2], [0], [6], [0], [3], [0], [2], [0], [-18], [0], [-9], [0], [8], [0], [-12], [0], [-4], [0], [-8], [0], [9], [0], [-4], [0], [-21], [0], [0], [0], [14], [0], [1], [0], [-24], [0], [-18], [0], [-16], [0], [-24], [0]], 'ap': [[0], [-3], [3], [1], [-4], [1], [-7], [-6], [6], [0], [8], [-9], [-6], [-5], [5], [6], [0], [-2], [2], [-9], [8], [-8], [-4], [14], [-16], [-4], [-16], [-12], [-5], [-18], [14], [-1], [-10], [-5], [-2], [-17], [8], [10], [12], [24], [-5], [12], [-20], [4], [13], [14], [-25], [3], [10], [-23], [9], [-15], [-18], [8], [-27], [14], [6], [-19], [26], [-10], [-20], [-5], [-4], [-14], [-17], [6], [4], [11], [19], [-5], [-24], [24], [2], [-16], [-10], [23], [36], [34], [-18], [-10], [9], [-17], [13], [23], [8], [-11], [-8], [26], [-9], [-8], [20], [9], [24], [11], [-30], [6], [22], [-5], [12], [-11], [-23], [-3], [39], [27], [-27], [24], [30], [-32], [36], [-15], [-40], [-26], [32], [10], [19], [50], [14], [28], [8], [-36], [38], [-47], [-28], [-12], [-4], [-18], [-10], [26], [-40], [49], [-6], [29], [14], [-18], [28], [12], [23], [10], [46], [11], [-16], [23], [4], [-30], [26], [-12], [37], [14], [-44], [-19], [-27], [33], [1], [30], [-37], [-32], [0], [12], [42], [-59], [-36], [-41], [-33], [-7], [-18], [1], [-30], [32], [-4], [10], [-30], [-3], [42], [4], [-6], [-53], [32], [-18], [-44], [-14], [24], [28], [-8], [36], [36], [48], [-52], [24], [8], [-36], [1], [20], [-11], [-30], [9], [-6], [-34], [-8], [-12], [-44], [23], [20], [13], [5], [16], [-8], [59], [-44], [0], [-23], [-2], [0], [-4], [64], [15], [36], [58], [-3], [72], [9], [4], [7], [-40], [-29], [-27], [40], [-25], [38], [-16], [26], [14], [-28], [-68], [-5], [-31], [13], [16], [25], [-28], [40], [14], [51], [30], [-11], [-22], [-40], [47], [-32], [-16], [-36], [71], [-52], [-53], [-5], [-52], [-30], [-12], [-80], [36], [12], [-64], [-37], [-23], [-14], [12], [-13], [-61], [30], [48], [-54], [-2], [-52], [0], [-72], [-38], [-48], [2], [-46], [46], [1], [-60], [-21], [18], [10], [30], [30], [53], [-71], [-19], [10], [-36], [-21], [-4], [-36], [-22], [64], [-48], [-72], [29], [2], [-37], [3], [38], [4], [77], [-46], [63], [48], [0], [30], [38], [-27], [39], [-40], [-21], [-59], [14], [-4], [-22], [-66], [-20], [-80], [-42], [-65], [0], [-62], [50], [-18], [-40], [20], [-6], [-56], [70], [-42], [-64], [72], [50], [36], [-42], [-52], [39], [43], [31], [-70], [-35], [7], [88], [-10], [-13], [22], [8], [-48], [-57], [92], [-18], [18], [-9], [-90], [-17], [23], [-46], [46], [-94], [76], [44], [41], [-63], [-64], [57], [9], [41], [-3], [-74], [-66], [6], [36], [-34], [-14], [42], [-70], [-42], [0], [48], [0], [-44], [53], [45], [74], [34], [28], [90], [-59], [50], [39], [-7], [-11], [79], [45], [-76], [43], [7], [-18], [7], [-56], [-75], [-34], [53], [12], [-100], [-28], [-71], [52], [89], [-45], [-59], [32], [-1], [-56], [74], [6], [-40], [22], [80], [-43], [68], [-102], [51], [20], [86], [-24]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 4503599660926592, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '1664.2.a.b', 'level': 1664, 'maxp': 2999, 'weight': 2}
• 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': [10, 16, 14, 8], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [7, 8, 8, 8], 'ALdims_old': [37, 42, 44, 38], 'Nk2': 6656, 'analytic_conductor': 13.287106896341056, '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': [1664, 1, [1535, 261, 769], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 209, 'dim': 48, 'eis_dim': 31, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 5, 7, 11], 'hecke_orbit_code': 33556096, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 5, 5, 5, 5], 'label': '1664.2.a', 'level': 1664, '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, 13], 'level_radical': 26, 'mf_dim': 240, 'mf_new_dim': 48, 'num_forms': 28, 'plus_dim': 18, 'prim_orbit_index': 1, 'relative_dim': 48, 'sturm_bound': 448, 'trace_bound': 11, 'trace_display': [0, 0, 0, 0], 'traces': [48, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, -224, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, -352, 0, 0, 0, 0, 0, 0, 0, 224, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, -384, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 224, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 368, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 256, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 256, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 256, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 320, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 320, 0, 0, 0, 0, 0, 0, 0, 480, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, 0, 0, 0, 0, 416, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 384, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 448, 0, 0, 0, 0, 0, 0, 0, 576, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 416, 0, 0, 0, 0, 0, 0, 0, -320, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, -640, 0, 0, 0, 0, 0, 0, 0, 432, 0, 0, 0, 0, 0, 0, 0, -320, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 384, 0, 0, 0, 0, 0, 0, 0, -608, 0, 0, 0, 0, 0, 0, 0], 'weight': 2, 'weight_parity': 1}
• 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: 783581
    {'conductor': 8, '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': True, 'source_label': '1664.2.a.b', 'source_level': 1664, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '1664.2.a.a', 'target_level': 1664, 'twist_class_label': '1664.2.a.a', 'twist_class_level': 1664, 'twisting_char_label': '8.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 783582
    {'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': True, 'source_label': '1664.2.a.b', 'source_level': 1664, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '1664.2.a.b', 'target_level': 1664, 'twist_class_label': '1664.2.a.a', 'twist_class_level': 1664, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 783583
    {'conductor': 8, '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': True, 'source_label': '1664.2.a.b', 'source_level': 1664, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 19, 'target_is_minimal': True, 'target_label': '1664.2.a.s', 'target_level': 1664, 'twist_class_label': '1664.2.a.a', 'twist_class_level': 1664, 'twisting_char_label': '8.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 783584
    {'conductor': 4, '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': True, 'source_label': '1664.2.a.b', 'source_level': 1664, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 20, 'target_is_minimal': True, 'target_label': '1664.2.a.t', 'target_level': 1664, 'twist_class_label': '1664.2.a.a', 'twist_class_level': 1664, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 783585
    {'conductor': 16, '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': True, 'source_label': '1664.2.a.b', 'source_level': 1664, 'target_char_orbit': 2, 'target_dim': 2, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '3328.2.b.f', 'target_level': 3328, 'twist_class_label': '1664.2.a.a', 'twist_class_level': 1664, 'twisting_char_label': '16.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 783586
    {'conductor': 16, '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': True, 'source_label': '1664.2.a.b', 'source_level': 1664, 'target_char_orbit': 2, 'target_dim': 2, 'target_hecke_orbit': 12, 'target_is_minimal': False, 'target_label': '3328.2.b.l', 'target_level': 3328, 'twist_class_label': '1664.2.a.a', 'twist_class_level': 1664, 'twisting_char_label': '16.f', 'twisting_char_orbit': 6, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2111750
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 4503599660926592, 'p': 2}
  • id: 2111751
    {'charpoly_factorization': [[[3, 1], 1]], 'hecke_orbit_code': 4503599660926592, 'p': 3}
  • id: 2111752
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 4503599660926592, 'p': 5}
  • id: 2111753
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 4503599660926592, 'p': 7}
  • id: 2111754
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 4503599660926592, 'p': 11}
  • id: 2111755
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 4503599660926592, 'p': 13}
  • id: 2111756
    {'charpoly_factorization': [[[7, 1], 1]], 'hecke_orbit_code': 4503599660926592, 'p': 17}
  • id: 2111757
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 4503599660926592, 'p': 19}
  • id: 2111758
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 4503599660926592, 'p': 23}
  • id: 2111759
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 4503599660926592, 'p': 29}
  • id: 2111760
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 4503599660926592, 'p': 31}
  • id: 2111761
    {'charpoly_factorization': [[[9, 1], 1]], 'hecke_orbit_code': 4503599660926592, 'p': 37}
  • id: 2111762
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 4503599660926592, 'p': 41}
  • id: 2111763
    {'charpoly_factorization': [[[5, 1], 1]], 'hecke_orbit_code': 4503599660926592, 'p': 43}
  • id: 2111764
    {'charpoly_factorization': [[[-5, 1], 1]], 'hecke_orbit_code': 4503599660926592, 'p': 47}
  • id: 2111765
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 4503599660926592, 'p': 53}
  • id: 2111766
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 4503599660926592, 'p': 59}
  • id: 2111767
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 4503599660926592, 'p': 61}
  • id: 2111768
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 4503599660926592, 'p': 67}
  • id: 2111769
    {'charpoly_factorization': [[[9, 1], 1]], 'hecke_orbit_code': 4503599660926592, 'p': 71}
  • id: 2111770
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 4503599660926592, 'p': 73}
  • id: 2111771
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 4503599660926592, 'p': 79}
  • id: 2111772
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 4503599660926592, 'p': 83}
  • id: 2111773
    {'charpoly_factorization': [[[-14, 1], 1]], 'hecke_orbit_code': 4503599660926592, 'p': 89}
  • id: 2111774
    {'charpoly_factorization': [[[16, 1], 1]], 'hecke_orbit_code': 4503599660926592, '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': '1664.2.a.b', 'level': 1664, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  Showing the first 100 of 258 matching records in this table.
  • id: 16447566
    {'hecke_orbit_code': 4503599660926592, 'n': 1, 'trace_an': 1}
  • id: 16447567
    {'hecke_orbit_code': 4503599660926592, 'n': 2, 'trace_an': 0}
  • id: 16447568
    {'hecke_orbit_code': 4503599660926592, 'n': 3, 'trace_an': -3}
  • id: 16447569
    {'hecke_orbit_code': 4503599660926592, 'n': 4, 'trace_an': 0}
  • id: 16447570
    {'hecke_orbit_code': 4503599660926592, 'n': 5, 'trace_an': 3}
  • id: 16447571
    {'hecke_orbit_code': 4503599660926592, 'n': 6, 'trace_an': 0}
  • id: 16447572
    {'hecke_orbit_code': 4503599660926592, 'n': 7, 'trace_an': 1}
  • id: 16447573
    {'hecke_orbit_code': 4503599660926592, 'n': 8, 'trace_an': 0}
  • id: 16447574
    {'hecke_orbit_code': 4503599660926592, 'n': 9, 'trace_an': 6}
  • id: 16447575
    {'hecke_orbit_code': 4503599660926592, 'n': 10, 'trace_an': 0}
  • id: 16447576
    {'hecke_orbit_code': 4503599660926592, 'n': 11, 'trace_an': -4}
  • id: 16447577
    {'hecke_orbit_code': 4503599660926592, 'n': 12, 'trace_an': 0}
  • id: 16447578
    {'hecke_orbit_code': 4503599660926592, 'n': 13, 'trace_an': 1}
  • id: 16447579
    {'hecke_orbit_code': 4503599660926592, 'n': 14, 'trace_an': 0}
  • id: 16447580
    {'hecke_orbit_code': 4503599660926592, 'n': 15, 'trace_an': -9}
  • id: 16447581
    {'hecke_orbit_code': 4503599660926592, 'n': 16, 'trace_an': 0}
  • id: 16447582
    {'hecke_orbit_code': 4503599660926592, 'n': 17, 'trace_an': -7}
  • id: 16447583
    {'hecke_orbit_code': 4503599660926592, 'n': 18, 'trace_an': 0}
  • id: 16447584
    {'hecke_orbit_code': 4503599660926592, 'n': 19, 'trace_an': -6}
  • id: 16447585
    {'hecke_orbit_code': 4503599660926592, 'n': 20, 'trace_an': 0}
  • id: 16447586
    {'hecke_orbit_code': 4503599660926592, 'n': 21, 'trace_an': -3}
  • id: 16447587
    {'hecke_orbit_code': 4503599660926592, 'n': 22, 'trace_an': 0}
  • id: 16447588
    {'hecke_orbit_code': 4503599660926592, 'n': 23, 'trace_an': 6}
  • id: 16447589
    {'hecke_orbit_code': 4503599660926592, 'n': 24, 'trace_an': 0}
  • id: 16447590
    {'hecke_orbit_code': 4503599660926592, 'n': 25, 'trace_an': 4}
  • id: 16447591
    {'hecke_orbit_code': 4503599660926592, 'n': 26, 'trace_an': 0}
  • id: 16447592
    {'hecke_orbit_code': 4503599660926592, 'n': 27, 'trace_an': -9}
  • id: 16447593
    {'hecke_orbit_code': 4503599660926592, 'n': 28, 'trace_an': 0}
  • id: 16447594
    {'hecke_orbit_code': 4503599660926592, 'n': 29, 'trace_an': 0}
  • id: 16447595
    {'hecke_orbit_code': 4503599660926592, 'n': 30, 'trace_an': 0}
  • id: 16447596
    {'hecke_orbit_code': 4503599660926592, 'n': 31, 'trace_an': 8}
  • id: 16447597
    {'hecke_orbit_code': 4503599660926592, 'n': 32, 'trace_an': 0}
  • id: 16447598
    {'hecke_orbit_code': 4503599660926592, 'n': 33, 'trace_an': 12}
  • id: 16447599
    {'hecke_orbit_code': 4503599660926592, 'n': 34, 'trace_an': 0}
  • id: 16447600
    {'hecke_orbit_code': 4503599660926592, 'n': 35, 'trace_an': 3}
  • id: 16447601
    {'hecke_orbit_code': 4503599660926592, 'n': 36, 'trace_an': 0}
  • id: 16447602
    {'hecke_orbit_code': 4503599660926592, 'n': 37, 'trace_an': -9}
  • id: 16447603
    {'hecke_orbit_code': 4503599660926592, 'n': 38, 'trace_an': 0}
  • id: 16447604
    {'hecke_orbit_code': 4503599660926592, 'n': 39, 'trace_an': -3}
  • id: 16447605
    {'hecke_orbit_code': 4503599660926592, 'n': 40, 'trace_an': 0}
  • id: 16447606
    {'hecke_orbit_code': 4503599660926592, 'n': 41, 'trace_an': -6}
  • id: 16447607
    {'hecke_orbit_code': 4503599660926592, 'n': 42, 'trace_an': 0}
  • id: 16447608
    {'hecke_orbit_code': 4503599660926592, 'n': 43, 'trace_an': -5}
  • id: 16447609
    {'hecke_orbit_code': 4503599660926592, 'n': 44, 'trace_an': 0}
  • id: 16447610
    {'hecke_orbit_code': 4503599660926592, 'n': 45, 'trace_an': 18}
  • id: 16447611
    {'hecke_orbit_code': 4503599660926592, 'n': 46, 'trace_an': 0}
  • id: 16447612
    {'hecke_orbit_code': 4503599660926592, 'n': 47, 'trace_an': 5}
  • id: 16447613
    {'hecke_orbit_code': 4503599660926592, 'n': 48, 'trace_an': 0}
  • id: 16447614
    {'hecke_orbit_code': 4503599660926592, 'n': 49, 'trace_an': -6}
  • id: 16447615
    {'hecke_orbit_code': 4503599660926592, 'n': 50, 'trace_an': 0}
  • id: 16447616
    {'hecke_orbit_code': 4503599660926592, 'n': 51, 'trace_an': 21}
  • id: 16447617
    {'hecke_orbit_code': 4503599660926592, 'n': 52, 'trace_an': 0}
  • id: 16447618
    {'hecke_orbit_code': 4503599660926592, 'n': 53, 'trace_an': 6}
  • id: 16447619
    {'hecke_orbit_code': 4503599660926592, 'n': 54, 'trace_an': 0}
  • id: 16447620
    {'hecke_orbit_code': 4503599660926592, 'n': 55, 'trace_an': -12}
  • id: 16447621
    {'hecke_orbit_code': 4503599660926592, 'n': 56, 'trace_an': 0}
  • id: 16447622
    {'hecke_orbit_code': 4503599660926592, 'n': 57, 'trace_an': 18}
  • id: 16447623
    {'hecke_orbit_code': 4503599660926592, 'n': 58, 'trace_an': 0}
  • id: 16447624
    {'hecke_orbit_code': 4503599660926592, 'n': 59, 'trace_an': 0}
  • id: 16447625
    {'hecke_orbit_code': 4503599660926592, 'n': 60, 'trace_an': 0}
  • id: 16447626
    {'hecke_orbit_code': 4503599660926592, 'n': 61, 'trace_an': -2}
  • id: 16447627
    {'hecke_orbit_code': 4503599660926592, 'n': 62, 'trace_an': 0}
  • id: 16447628
    {'hecke_orbit_code': 4503599660926592, 'n': 63, 'trace_an': 6}
  • id: 16447629
    {'hecke_orbit_code': 4503599660926592, 'n': 64, 'trace_an': 0}
  • id: 16447630
    {'hecke_orbit_code': 4503599660926592, 'n': 65, 'trace_an': 3}
  • id: 16447631
    {'hecke_orbit_code': 4503599660926592, 'n': 66, 'trace_an': 0}
  • id: 16447632
    {'hecke_orbit_code': 4503599660926592, 'n': 67, 'trace_an': 2}
  • id: 16447633
    {'hecke_orbit_code': 4503599660926592, 'n': 68, 'trace_an': 0}
  • id: 16447634
    {'hecke_orbit_code': 4503599660926592, 'n': 69, 'trace_an': -18}
  • id: 16447635
    {'hecke_orbit_code': 4503599660926592, 'n': 70, 'trace_an': 0}
  • id: 16447636
    {'hecke_orbit_code': 4503599660926592, 'n': 71, 'trace_an': -9}
  • id: 16447637
    {'hecke_orbit_code': 4503599660926592, 'n': 72, 'trace_an': 0}
  • id: 16447638
    {'hecke_orbit_code': 4503599660926592, 'n': 73, 'trace_an': 8}
  • id: 16447639
    {'hecke_orbit_code': 4503599660926592, 'n': 74, 'trace_an': 0}
  • id: 16447640
    {'hecke_orbit_code': 4503599660926592, 'n': 75, 'trace_an': -12}
  • id: 16447641
    {'hecke_orbit_code': 4503599660926592, 'n': 76, 'trace_an': 0}
  • id: 16447642
    {'hecke_orbit_code': 4503599660926592, 'n': 77, 'trace_an': -4}
  • id: 16447643
    {'hecke_orbit_code': 4503599660926592, 'n': 78, 'trace_an': 0}
  • id: 16447644
    {'hecke_orbit_code': 4503599660926592, 'n': 79, 'trace_an': -8}
  • id: 16447645
    {'hecke_orbit_code': 4503599660926592, 'n': 80, 'trace_an': 0}
  • id: 16447646
    {'hecke_orbit_code': 4503599660926592, 'n': 81, 'trace_an': 9}
  • id: 16447647
    {'hecke_orbit_code': 4503599660926592, 'n': 82, 'trace_an': 0}
  • id: 16447648
    {'hecke_orbit_code': 4503599660926592, 'n': 83, 'trace_an': -4}
  • id: 16447649
    {'hecke_orbit_code': 4503599660926592, 'n': 84, 'trace_an': 0}
  • id: 16447650
    {'hecke_orbit_code': 4503599660926592, 'n': 85, 'trace_an': -21}
  • id: 16447651
    {'hecke_orbit_code': 4503599660926592, 'n': 86, 'trace_an': 0}
  • id: 16447652
    {'hecke_orbit_code': 4503599660926592, 'n': 87, 'trace_an': 0}
  • id: 16447653
    {'hecke_orbit_code': 4503599660926592, 'n': 88, 'trace_an': 0}
  • id: 16447654
    {'hecke_orbit_code': 4503599660926592, 'n': 89, 'trace_an': 14}
  • id: 16447655
    {'hecke_orbit_code': 4503599660926592, 'n': 90, 'trace_an': 0}
  • id: 16447656
    {'hecke_orbit_code': 4503599660926592, 'n': 91, 'trace_an': 1}
  • id: 16447657
    {'hecke_orbit_code': 4503599660926592, 'n': 92, 'trace_an': 0}
  • id: 16447658
    {'hecke_orbit_code': 4503599660926592, 'n': 93, 'trace_an': -24}
  • id: 16447659
    {'hecke_orbit_code': 4503599660926592, 'n': 94, 'trace_an': 0}
  • id: 16447660
    {'hecke_orbit_code': 4503599660926592, 'n': 95, 'trace_an': -18}
  • id: 16447661
    {'hecke_orbit_code': 4503599660926592, 'n': 96, 'trace_an': 0}
  • id: 16447662
    {'hecke_orbit_code': 4503599660926592, 'n': 97, 'trace_an': -16}
  • id: 16447663
    {'hecke_orbit_code': 4503599660926592, 'n': 98, 'trace_an': 0}
  • id: 16447664
    {'hecke_orbit_code': 4503599660926592, 'n': 99, 'trace_an': -24}
  • id: 16447665
    {'hecke_orbit_code': 4503599660926592, 'n': 100, 'trace_an': 0}