Newform data - 4275.2.a.f

Formats: - HTML - YAML - JSON - 2026-08-14T18:26:22.550855

• 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': 17100, 'analytic_conductor': 34.136046864097366, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, -1], [5, 1], [19, 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': [4275, 1, [1901, 1027, 1351], [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': [[2, [1, 1]], [7, [0, 1]], [11, [5, 1]]], 'hecke_orbit': 6, 'hecke_orbit_code': 22517998170411187, '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': '4275.2.a.f', 'level': 4275, '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, 5, 19], 'level_radical': 285, 'minimal_twist': '1425.2.a.b', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-q^{2}-q^{4}+3q^{8}-5q^{11}-4q^{13}+\\cdots', 'related_objects': ['EllipticCurve/Q/4275/f'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '4275.2.a', 'trace_display': [-1, 0, 0, 0], 'trace_hash': 481205641401923085, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.059', 'prec': 7}, {'__RealLiteral__': 0, 'data': '0.987', 'prec': 10}, {'__RealLiteral__': 0, 'data': '0.125', 'prec': 10}, {'__RealLiteral__': 0, 'data': '1.941', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.361', 'prec': 10}, {'__RealLiteral__': 0, 'data': '4.784', 'prec': 14}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.014', 'prec': 7}, 'traces': [1, -1, 0, -1, 0, 0, 0, 3, 0, 0, -5, 0, -4, 0, 0, -1, -4, 0, -1, 0, 0, 5, -9, 0, 0, 4, 0, 0, -7, 0, 3, -5, 0, 4, 0, 0, 10, 1, 0, 0, 2, 0, -4, 5, 0, 9, 8, 0, -7, 0, 0, 4, 11, 0, 0, 0, 0, 7, -8, 0, 13, -3, 0, 7, 0, 0, -9, 4, 0, 0, -10, 0, 5, -10, 0, 1, 0, 0, -15, 0, 0, -2, 9, 0, 0, 4, 0, -15, -3, 0, 0, 9, 0, -8, 0, 0, 10, 7, 0, 0, 0, 0, 13, -12, 0, -11, 6, 0, -10, 0, 0, 0, -1, 0, 0, 7, 0, 8, 0, 0, 14, -13, 0, -3, 0, 0, -13, 3, 0, 0, -3, 0, 0, 9, 0, -12, 12, 0, 14, 0, 0, 10, 20, 0, 0, -5, 0, -10, -16, 0, -8, -3, 0, 0, 0, 0, -2, 15, 0, 0, 0, 0, -14, -2, 0, -9, 6, 0, 3, 0, 0, 4, -3, 0, 0, 5, 0, 3, 4, 0, -16, 0, 0, -27, 0, 0, 20, -8, 0, 0, 17, 0, -14, -10, 0, 7, 12, 0, 22, 0, 0, 0, 0, 0, 0, -13, 0, 4, 5, 0, 11, -11, 0, -6, 0, 0, 0, 10, 0, 0, 16, 0, 1, 0, 0, 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-28, 0, 0, 46, -80, 0, 0, 34, 0, 31, -110, 0, 0, -12, 0, 23, 0, 0, 40, 0, 0, 0, -30, 0, -4, -7, 0, 27, -24, 0, 17, 0, 0, 0, 50, 0, 0, -99, 0, -40, 0, 0, 63, 0, 0, -14, 0, 0, 12, 0, 0, 0, -90, 0, 0, -36, 0, -16, -1, 0, 68, 0, 0, -8, 37, 0, 0, 19, 0, 45, 12, 0, -58, -30, 0, -63, 0, 0, 130, 28, 0, 0, 0, 0, 15, 0, 0, 65, 67, 0, 14, 0, 0, 50, 91, 0, 0, 6, 0, -36, -44, 0, 89, 0, 0, -14, 0, 0, 84, -20, 0, 0, 105, 0, 56, -30, 0, 0, 22, 0, -14, 0, 0, -19, -56, 0, 0, -32, 0, -13, -39, 0, 69, -3, 0, -12, 0, 0, 0, 13, 0, 0, -55, 0, 0, 0, 0, 1, -16, 0, -48, 0, 0, 55, 71, 0, 0, -25, 0, 0, 30, 0, -37, 51, 0, 27, 0, 0, 17, 3, 0, 0, 48, 0, 64, 30, 0, 3, -20, 0, 0, 0, 0, -49, -56, 0, 0, 0, 0, 70, -117, 0, 57, 20, 0, 36, 0, 0, -36, 14, 0, 0, -16, 0, -79, 16, 0, 38, 0, 0, -48, 0, 0, 108, -9, 0, 0, -44, 0, -50, -55, 0, 49, -49, 0, 10, 0, 0, -63, 0, 0, 0, 45, 0, 13, -40, 0, 8, -90, 0, -16, 0, 0, 0, 32, 0, 0, -45, 0, 1, 0, 0, -80, -3, 0, -30, 0, 0, -43, 99, 0, 0, 28, 0, 0, 32, 0, -61, -66, 0, -45, 0, 0, -26, 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-21, 0, 43, 6, 0, -10, 0, 0, 0, -63, 0, 0, 12, 0, -44, 0, 0, -54, -18, 0, 34, 0, 0, -28, 78, 0, 0, 44, 0, 0, -9, 0, -120, 50, 0, -10, 0, 0, -4, 3, 0, 0, 56, 0, -64, 5, 0, 60, 1, 0, 0, 0, 0, 24, -126, 0, 0, 0, 0, 8, -13, 0, -38, -51, 0, -65, 0, 0, -17, -47, 0, 0, -25, 0, -21, -8, 0, 117, 0, 0, 68, 0, 0, 10, -70, 0, 0, 85, 0, -42, 33, 0, 0, 36, 0, 36, 0, 0, -105, 0, 0, 0, 16, 0, 24, -40, 0, -13, 18, 0, -24, 0, 0, -49, 20, 0, 0, -38, 0, 15, 0, 0, -72, 27, 0, 2, 0, 0, 85, 10, 0, 0, -50, 0, 0, -4, 0, -57, 104, 0, 8, 0, 0, 0, -12, 0, 0, 15, 0, 46, -40, 0, 36, -15, 0, 0, 0, 0, -7, 3, 0, 0, 56, 0, 85, -32, 0, 16, -36, 0, -4, 0, 0, 3, -86, 0, 0, -30, 0, 2, -58, 0, -20, 0, 0, -24, 0, 0, 74, -55, 0, 0, 117, 0, -150, -16, 0, 0, 27, 0, 0, 0, 0, -1, 0, 0, 0, -54, 0, -4, 58, 0, 12, 25, 0, -27, 0, 0, 0, -45, 0, 0, -88, 0, 16, 0, 0, -4, 86, 0, 70, 0, 0, -13, -32, 0, 0, -22, 0, 0, -12, 0, 20, 40, 0, 48, 0, 0, -84, 66, 0, 0, -50, 0, 2, 60, 0, -22, -91, 0, -91, 0, 0, -20, 10, 0, 0, 0, 0, -60, 7, 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], [-1], [0], [-1], [0], [0], [0], [3], [0], [0], [-5], [0], [-4], [0], [0], [-1], [-4], [0], [-1], [0], [0], [5], [-9], [0], [0], [4], [0], [0], [-7], [0], [3], [-5], [0], [4], [0], [0], [10], [1], [0], [0], [2], [0], [-4], [5], [0], [9], [8], [0], [-7], [0], [0], [4], [11], [0], [0], [0], [0], [7], [-8], [0], [13], [-3], [0], [7], [0], [0], [-9], [4], [0], [0], [-10], [0], [5], [-10], [0], [1], [0], [0], [-15], [0], [0], [-2], [9], [0], [0], [4], [0], [-15], [-3], [0], [0], [9], [0], [-8], [0], [0], [10], [7], [0], [0]], 'ap': [[-1], [0], [0], [0], [-5], [-4], [-4], [-1], [-9], [-7], [3], [10], [2], [-4], [8], [11], [-8], [13], [-9], [-10], [5], [-15], [9], [-3], [10], [0], [13], [6], [-10], [-1], [-13], [-3], [12], [14], [-16], [-8], [-2], [-14], [6], [-3], [4], [-16], [17], [-14], [12], [22], [11], [1], [22], [21], [0], [-8], [4], [24], [21], [-17], [-14], [10], [-33], [15], [0], [9], [23], [-24], [13], [1], [-3], [8], [20], [-17], [12], [0], [-18], [20], [-8], [-18], [30], [29], [-3], [-34], [-28], [-26], [-6], [26], [37], [-15], [7], [14], [-12], [12], [7], [-15], [-8], [-28], [-32], [28], [7], [41], [-28], [-21], [-31], [0], [30], [-6], [14], [13], [-3], [-20], [44], [-10], [-1], [26], [-42], [32], [28], [42], [-30], [-31], [16], [4], [16], [-36], [27], [-6], [10], [8], [13], [-15], [-2], [1], [4], [-40], [16], [-7], [30], [-37], [-18], [29], [-14], [44], [-51], [-18], [-2], [8], [30], [20], [42], [-10], [22], [-20], [6], [-32], [34], [0], [24], [-14], [-26], [-4], [-42], [-13], [-12], [17], [-2], [36], [2], [-42], [5], [-3], [-46], [46], [36], [28], [-12], [-45], [-29], [-42], [-36], [-54], [-8], [-23], [-38], [-46], [-34], [-23], [-27], [40], [36], [-19], [-28], [19], [32], [-1], [-51], [49], [-36], [-38], [49], [45], [30], [61], [69], [0], [-48], [-32], [-15], [60], [14], [32], [30], [-52], [-11], [50], [-12], [2], [-60], [-34], [-46], [-51], [10], [54], [-50], [47], [42], [38], [-2], [-10], [57], [-46], [32], [-3], [30], [55], [-25], [13], [22], [-48], [-66], [22], [60], [18], [48], [0], [2], [54], [-6], [67], [-68], [22], [77], [-43], [-31], [58], [3], [66], [52], [-27], [22], [73], [-6], [22], [47], [-32], [-25], [-42], [-30], [-71], [46], [-28], [25], [-28], [32], [83], [25], [-6], [12], [-44], [-63], [0], [36], [-57], [16], [16], [-32], [-6], [-48], [-60], [-1], [-3], [-40], [15], [-46], [-83], [6], [-30], [-56], [6], [-52], [-48], [-6], [-62], [-9], [35], [46], [24], [46], [-44], [-24], [-40], [-45], [39], [-39], [54], [-3], [1], [-8], [40], [-21], [30], [30], [-66], [56], [22], [34], [56], [12], [22], [-28], [-4], [-24], [50], [63], [-1], [68], [37], [-58], [67], [14], [91], [89], [84], [56], [22], [-39], [69], [71], [30], [-37], [17], [48], [-20], [57], [-36], [-16], [-79], [-48], [-9], [-55], [45], [-90], [32], [-43], [28], [-66], [22], [16], [44], [66], [72], [-16], [-15], [75], [32], [-39], [36], [98], [58], [-15], [49], [84], [-58], [98], [-18], [80], [-92], [39], [8], [-52], [10], [-96], [54], [-48], [-1], [19], [-14], [-2], [10], [8], [-21], [43], [12], [34], [78], [-4], [1], [-13], [-38], [-17], [-25], [-21], [33], [24], [18], [20], [-72], [85], [-50], [-40], [-7], [-36], [-86], [-58], [74], [27], [58], [16], [86], [-32], [-12], [20], [7]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 22517998170411187, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '4275.2.a.f', 'level': 4275, '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': [12, 16, 18, 10, 21, 19, 21, 25], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [5, 6, 6, 6, 6, 6, 6, 6], 'ALdims_old': [55, 62, 56, 60, 57, 47, 49, 49], 'Nk2': 17100, 'analytic_conductor': 34.136046864097366, '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': [4275, 1, [1901, 1027, 1351], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 577, 'dim': 142, 'eis_dim': 47, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 7, 11], 'hecke_orbit_code': 33558707, 'hecke_orbit_dims': [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, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 6, 6, 6, 6, 6, 7, 7, 12], 'label': '4275.2.a', 'level': 4275, '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, 5, 19], 'level_radical': 285, 'mf_dim': 624, 'mf_new_dim': 142, 'num_forms': 50, 'plus_dim': 62, 'prim_orbit_index': 1, 'relative_dim': 142, 'sturm_bound': 1200, 'trace_bound': 13, 'trace_display': [1, 0, 0, 5], 'traces': [142, 1, 0, 143, 0, 0, 5, -3, 0, 0, 13, 0, -2, -12, 0, 145, -11, 0, -2, 0, 0, 4, -8, 0, 0, 6, 0, 18, 32, 0, 0, 5, 0, 18, 0, 0, -12, -3, 0, 0, 0, 0, 13, 66, 0, 36, -1, 0, 145, 0, 0, 14, 26, 0, 0, 8, 0, 10, -18, 0, -9, 8, 0, 185, 0, 0, 12, -52, 0, 0, -42, 0, 1, 62, 0, -5, -41, 0, 8, 0, 0, 38, 16, 0, 0, 4, 0, -32, -2, 0, -16, 40, 0, -32, 0, 0, -6, 5, 0, 0, 28, 0, -34, 18, 0, 6, 34, 0, 38, 0, 0, 88, 20, 0, 0, 142, 0, 20, -11, 0, 213, 26, 0, -76, 0, 0, 46, -59, 0, 0, 3, 0, 1, 8, 0, 106, 29, 0, 9, 0, 0, 48, 36, 0, 0, -102, 0, -34, 57, 0, -74, -3, 0, -20, 0, 0, 36, 40, 0, 0, 0, 0, 28, -134, 0, -108, 2, 0, 170, 0, 0, 78, -24, 0, 0, 228, 0, -66, 38, 0, 56, 64, 0, 136, 0, 0, -15, 90, 0, 0, 69, 0, 14, 26, 0, 245, -56, 0, -35, 0, 0, 42, 14, 0, 0, -36, 0, -22, 25, 0, 126, 86, 0, -140, 0, 0, 44, -74, 0, 0, -56, 0, 34, 132, 0, 166, 0, 0, -71, 0, 0, 18, -81, 0, 0, 8, 0, -88, -19, 0, -28, 137, 0, -92, 0, 0, 2, -16, 0, 0, 75, 0, -20, -8, 0, -35, -74, 0, 62, 0, 0, 52, -29, 0, 0, 24, 0, 16, -106, 0, -92, -130, 0, -222, 0, 0, -3, 80, 0, 0, -12, 0, -71, -152, 0, -100, 38, 0, 221, 0, 0, 60, -18, 0, 0, 74, 0, -166, -40, 0, -85, -40, 0, -35, 0, 0, -36, -262, 0, 0, -177, 0, 16, 6, 0, 4, -68, 0, -38, 0, 0, 40, -15, 0, 0, -68, 0, 86, 17, 0, -124, 92, 0, -136, 0, 0, -138, 103, 0, 0, -120, 0, -5, 216, 0, 42, 99, 0, -115, 0, 0, 204, -116, 0, 0, 154, 0, -116, 177, 0, 142, -106, 0, 200, 0, 0, 12, 200, 0, 0, -72, 0, -86, 144, 0, -92, 36, 0, -14, 0, 0, 88, 4, 0, 0, 126, 0, -138, -53, 0, -4, 53, 0, 186, 0, 0, -43, 116, 0, 0, 230, 0, 184, -26, 0, 60, -110, 0, 182, 0, 0, -40, -82, 0, 0, 26, 0, 28, -44, 0, -122, 132, 0, -70, 0, 0, -45, 244, 0, 0, 60, 0, -4, -240, 0, 190, -16, 0, 18, 0, 0, -44, 163, 0, 0, 88, 0, 172, -34, 0, -42, -70, 0, -132, 0, 0, 23, -70, 0, 0, 9, 0, 15, 246, 0, 286, 67, 0, -192, 0, 0, -180, 71, 0, 0, 10, 0, 48, 72, 0, 284, -190, 0, 81, 0, 0, 10, -62, 0, 0, -64, 0, -122, -6, 0, -148, 154, 0, 107, 0, 0, -172, -84, 0, 0, -320, 0, 148, -202, 0, -35, -87, 0, -74, 0, 0, -115, -176, 0, 0, 106, 0, -90, -138, 0, 48, 88, 0, 198, 0, 0, -30, 20, 0, 0, 148, 0, -134, 62, 0, -125, -272, 0, -58, 0, 0, -40, -20, 0, 0, 28, 0, 128, 50, 0, -270, -143, 0, 24, 0, 0, -130, 226, 0, 0, -368, 0, -40, 86, 0, -84, -100, 0, -232, 0, 0, -5, -129, 0, 0, -172, 0, 224, -230, 0, -418, -157, 0, -12, 0, 0, -114, -208, 0, 0, -148, 0, 136, -188, 0, -168, 12, 0, -92, 0, 0, -12, -39, 0, 0, -152, 0, 157, 36, 0, -304, 177, 0, 372, 0, 0, 80, 8, 0, 0, -78, 0, -30, 34, 0, 113, -48, 0, -154, 0, 0, 50, -192, 0, 0, 278, 0, 33, -68, 0, 14, -207, 0, 90, 0, 0, 8, 197, 0, 0, -498, 0, -200, -178, 0, 270, 244, 0, -296, 0, 0, -64, -140, 0, 0, -85, 0, 112, -94, 0, 53, 28, 0, 204, 0, 0, -24, 100, 0, 0, 120, 0, 244, 216, 0, 191, 54, 0, -696, 0, 0, -134, -182, 0, 0, -44, 0, 40, 200, 0, -362, 126, 0, 148, 0, 0, -226, 256, 0, 0, 148, 0, -136, -127, 0, -222, 1, 0, -210, 0, 0, -37, 304, 0, 0, 121, 0, 88, 0, 0, -92, 96, 0, 137, 0, 0, -8, -88, 0, 0, -138, 0, -42, 102, 0, 180, 188, 0, -204, 0, 0, 43, 68, 0, 0, 309, 0, 88, -234, 0, -340, -128, 0, -173, 0, 0, -98, -40, 0, 0, -122, 0, -278, 20, 0, 62, 160, 0, -183, 0, 0, 128, -206, 0, 0, -302, 0, 92, -142, 0, -214, -42, 0, -265, 0, 0, -202, -103, 0, 0, 284, 0, -154, -25, 0, 104, 252, 0, 152, 0, 0, 41, -62, 0, 0, 269, 0, 37, 76, 0, -208, -72, 0, 402, 0, 0, 98, 60, 0, 0, 118, 0, 36, -302, 0, 30, -170, 0, 220, 0, 0, 14, 402, 0, 0, 20, 0, 16, -540, 0, -228, 160, 0, -15, 0, 0, 200, 42, 0, 0, -154, 0, 216, 172, 0, 80, -138, 0, 44, 0, 0, 12, -472, 0, 0, -59, 0, 313, 212, 0, 132, -58, 0, -182, 0, 0, -132, -21, 0, 0, 488, 0, 142, -128, 0, 216, -48, 0, 30, 0, 0, -112, 56, 0, 0, -518, 0, -64, 346, 0, -288, 45, 0, -100, 0, 0, -30, -152, 0, 0, -168, 0, 138, 12, 0, 1, -184, 0, -188, 0, 0, 105, 312, 0, 0, -204, 0, -8, 12, 0, -252, 8, 0, 68, 0, 0, -168, -146, 0, 0, -550, 0, -40, 213, 0, -198, -20, 0, -98, 0, 0, 316, 433, 0, 0, 168, 0, 47, -304, 0, 238, -90, 0, -200, 0, 0, 292, -144, 0, 0, -8, 0, -22, 348, 0, -394, 232, 0, 28, 0, 0, -7, 640, 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: 1197245
    {'conductor': 15, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 6, 'source_is_minimal': False, 'source_label': '4275.2.a.f', 'source_level': 4275, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '1425.2.a.b', 'target_level': 1425, 'twist_class_label': '1425.2.a.b', 'twist_class_level': 1425, 'twisting_char_label': '15.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 1197246
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 6, 'source_is_minimal': False, 'source_label': '4275.2.a.f', 'source_level': 4275, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 8, 'target_is_minimal': True, 'target_label': '1425.2.a.h', 'target_level': 1425, 'twist_class_label': '1425.2.a.b', 'twist_class_level': 1425, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1197247
    {'conductor': 15, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 6, 'source_is_minimal': False, 'source_label': '4275.2.a.f', 'source_level': 4275, 'target_char_orbit': 3, 'target_dim': 2, 'target_hecke_orbit': 8, 'target_is_minimal': False, 'target_label': '1425.2.c.h', 'target_level': 1425, 'twist_class_label': '1425.2.a.b', 'twist_class_level': 1425, 'twisting_char_label': '15.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 1197248
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 6, 'source_is_minimal': False, 'source_label': '4275.2.a.f', 'source_level': 4275, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '4275.2.a.f', 'target_level': 4275, 'twist_class_label': '1425.2.a.b', 'twist_class_level': 1425, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 1197249
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 6, 'source_is_minimal': False, 'source_label': '4275.2.a.f', 'source_level': 4275, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 12, 'target_is_minimal': False, 'target_label': '4275.2.a.l', 'target_level': 4275, 'twist_class_label': '1425.2.a.b', 'twist_class_level': 1425, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 3550750
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 22517998170411187, 'p': 2}
  • id: 3550751
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 22517998170411187, 'p': 3}
  • id: 3550752
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 22517998170411187, 'p': 5}
  • id: 3550753
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 22517998170411187, 'p': 7}
  • id: 3550754
    {'charpoly_factorization': [[[5, 1], 1]], 'hecke_orbit_code': 22517998170411187, 'p': 11}
  • id: 3550755
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 22517998170411187, 'p': 13}
  • id: 3550756
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 22517998170411187, 'p': 17}
  • id: 3550757
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 22517998170411187, 'p': 19}
  • id: 3550758
    {'charpoly_factorization': [[[9, 1], 1]], 'hecke_orbit_code': 22517998170411187, 'p': 23}
  • id: 3550759
    {'charpoly_factorization': [[[7, 1], 1]], 'hecke_orbit_code': 22517998170411187, 'p': 29}
  • id: 3550760
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 22517998170411187, 'p': 31}
  • id: 3550761
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 22517998170411187, 'p': 37}
  • id: 3550762
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 22517998170411187, 'p': 41}
  • id: 3550763
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 22517998170411187, 'p': 43}
  • id: 3550764
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 22517998170411187, 'p': 47}
  • id: 3550765
    {'charpoly_factorization': [[[-11, 1], 1]], 'hecke_orbit_code': 22517998170411187, 'p': 53}
  • id: 3550766
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 22517998170411187, 'p': 59}
  • id: 3550767
    {'charpoly_factorization': [[[-13, 1], 1]], 'hecke_orbit_code': 22517998170411187, 'p': 61}
  • id: 3550768
    {'charpoly_factorization': [[[9, 1], 1]], 'hecke_orbit_code': 22517998170411187, 'p': 67}
  • id: 3550769
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 22517998170411187, 'p': 71}
  • id: 3550770
    {'charpoly_factorization': [[[-5, 1], 1]], 'hecke_orbit_code': 22517998170411187, 'p': 73}
  • id: 3550771
    {'charpoly_factorization': [[[15, 1], 1]], 'hecke_orbit_code': 22517998170411187, 'p': 79}
  • id: 3550772
    {'charpoly_factorization': [[[-9, 1], 1]], 'hecke_orbit_code': 22517998170411187, 'p': 83}
  • id: 3550773
    {'charpoly_factorization': [[[3, 1], 1]], 'hecke_orbit_code': 22517998170411187, 'p': 89}
  • id: 3550774
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 22517998170411187, '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': 6, 'label': '4275.2.a.f', 'level': 4275, '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: 42450781
    {'hecke_orbit_code': 22517998170411187, 'n': 1, 'trace_an': 1}
  • id: 42450782
    {'hecke_orbit_code': 22517998170411187, 'n': 2, 'trace_an': -1}
  • id: 42450783
    {'hecke_orbit_code': 22517998170411187, 'n': 3, 'trace_an': 0}
  • id: 42450784
    {'hecke_orbit_code': 22517998170411187, 'n': 4, 'trace_an': -1}
  • id: 42450785
    {'hecke_orbit_code': 22517998170411187, 'n': 5, 'trace_an': 0}
  • id: 42450786
    {'hecke_orbit_code': 22517998170411187, 'n': 6, 'trace_an': 0}
  • id: 42450787
    {'hecke_orbit_code': 22517998170411187, 'n': 7, 'trace_an': 0}
  • id: 42450788
    {'hecke_orbit_code': 22517998170411187, 'n': 8, 'trace_an': 3}
  • id: 42450789
    {'hecke_orbit_code': 22517998170411187, 'n': 9, 'trace_an': 0}
  • id: 42450790
    {'hecke_orbit_code': 22517998170411187, 'n': 10, 'trace_an': 0}
  • id: 42450791
    {'hecke_orbit_code': 22517998170411187, 'n': 11, 'trace_an': -5}
  • id: 42450792
    {'hecke_orbit_code': 22517998170411187, 'n': 12, 'trace_an': 0}
  • id: 42450793
    {'hecke_orbit_code': 22517998170411187, 'n': 13, 'trace_an': -4}
  • id: 42450794
    {'hecke_orbit_code': 22517998170411187, 'n': 14, 'trace_an': 0}
  • id: 42450795
    {'hecke_orbit_code': 22517998170411187, 'n': 15, 'trace_an': 0}
  • id: 42450796
    {'hecke_orbit_code': 22517998170411187, 'n': 16, 'trace_an': -1}
  • id: 42450797
    {'hecke_orbit_code': 22517998170411187, 'n': 17, 'trace_an': -4}
  • id: 42450798
    {'hecke_orbit_code': 22517998170411187, 'n': 18, 'trace_an': 0}
  • id: 42450799
    {'hecke_orbit_code': 22517998170411187, 'n': 19, 'trace_an': -1}
  • id: 42450800
    {'hecke_orbit_code': 22517998170411187, 'n': 20, 'trace_an': 0}
  • id: 42450801
    {'hecke_orbit_code': 22517998170411187, 'n': 21, 'trace_an': 0}
  • id: 42450802
    {'hecke_orbit_code': 22517998170411187, 'n': 22, 'trace_an': 5}
  • id: 42450803
    {'hecke_orbit_code': 22517998170411187, 'n': 23, 'trace_an': -9}
  • id: 42450804
    {'hecke_orbit_code': 22517998170411187, 'n': 24, 'trace_an': 0}
  • id: 42450805
    {'hecke_orbit_code': 22517998170411187, 'n': 25, 'trace_an': 0}
  • id: 42450806
    {'hecke_orbit_code': 22517998170411187, 'n': 26, 'trace_an': 4}
  • id: 42450807
    {'hecke_orbit_code': 22517998170411187, 'n': 27, 'trace_an': 0}
  • id: 42450808
    {'hecke_orbit_code': 22517998170411187, 'n': 28, 'trace_an': 0}
  • id: 42450809
    {'hecke_orbit_code': 22517998170411187, 'n': 29, 'trace_an': -7}
  • id: 42450810
    {'hecke_orbit_code': 22517998170411187, 'n': 30, 'trace_an': 0}
  • id: 42450811
    {'hecke_orbit_code': 22517998170411187, 'n': 31, 'trace_an': 3}
  • id: 42450812
    {'hecke_orbit_code': 22517998170411187, 'n': 32, 'trace_an': -5}
  • id: 42450813
    {'hecke_orbit_code': 22517998170411187, 'n': 33, 'trace_an': 0}
  • id: 42450814
    {'hecke_orbit_code': 22517998170411187, 'n': 34, 'trace_an': 4}
  • id: 42450815
    {'hecke_orbit_code': 22517998170411187, 'n': 35, 'trace_an': 0}
  • id: 42450816
    {'hecke_orbit_code': 22517998170411187, 'n': 36, 'trace_an': 0}
  • id: 42450817
    {'hecke_orbit_code': 22517998170411187, 'n': 37, 'trace_an': 10}
  • id: 42450818
    {'hecke_orbit_code': 22517998170411187, 'n': 38, 'trace_an': 1}
  • id: 42450819
    {'hecke_orbit_code': 22517998170411187, 'n': 39, 'trace_an': 0}
  • id: 42450820
    {'hecke_orbit_code': 22517998170411187, 'n': 40, 'trace_an': 0}
  • id: 42450821
    {'hecke_orbit_code': 22517998170411187, 'n': 41, 'trace_an': 2}
  • id: 42450822
    {'hecke_orbit_code': 22517998170411187, 'n': 42, 'trace_an': 0}
  • id: 42450823
    {'hecke_orbit_code': 22517998170411187, 'n': 43, 'trace_an': -4}
  • id: 42450824
    {'hecke_orbit_code': 22517998170411187, 'n': 44, 'trace_an': 5}
  • id: 42450825
    {'hecke_orbit_code': 22517998170411187, 'n': 45, 'trace_an': 0}
  • id: 42450826
    {'hecke_orbit_code': 22517998170411187, 'n': 46, 'trace_an': 9}
  • id: 42450827
    {'hecke_orbit_code': 22517998170411187, 'n': 47, 'trace_an': 8}
  • id: 42450828
    {'hecke_orbit_code': 22517998170411187, 'n': 48, 'trace_an': 0}
  • id: 42450829
    {'hecke_orbit_code': 22517998170411187, 'n': 49, 'trace_an': -7}
  • id: 42450830
    {'hecke_orbit_code': 22517998170411187, 'n': 50, 'trace_an': 0}
  • id: 42450831
    {'hecke_orbit_code': 22517998170411187, 'n': 51, 'trace_an': 0}
  • id: 42450832
    {'hecke_orbit_code': 22517998170411187, 'n': 52, 'trace_an': 4}
  • id: 42450833
    {'hecke_orbit_code': 22517998170411187, 'n': 53, 'trace_an': 11}
  • id: 42450834
    {'hecke_orbit_code': 22517998170411187, 'n': 54, 'trace_an': 0}
  • id: 42450835
    {'hecke_orbit_code': 22517998170411187, 'n': 55, 'trace_an': 0}
  • id: 42450836
    {'hecke_orbit_code': 22517998170411187, 'n': 56, 'trace_an': 0}
  • id: 42450837
    {'hecke_orbit_code': 22517998170411187, 'n': 57, 'trace_an': 0}
  • id: 42450838
    {'hecke_orbit_code': 22517998170411187, 'n': 58, 'trace_an': 7}
  • id: 42450839
    {'hecke_orbit_code': 22517998170411187, 'n': 59, 'trace_an': -8}
  • id: 42450840
    {'hecke_orbit_code': 22517998170411187, 'n': 60, 'trace_an': 0}
  • id: 42450841
    {'hecke_orbit_code': 22517998170411187, 'n': 61, 'trace_an': 13}
  • id: 42450842
    {'hecke_orbit_code': 22517998170411187, 'n': 62, 'trace_an': -3}
  • id: 42450843
    {'hecke_orbit_code': 22517998170411187, 'n': 63, 'trace_an': 0}
  • id: 42450844
    {'hecke_orbit_code': 22517998170411187, 'n': 64, 'trace_an': 7}
  • id: 42450845
    {'hecke_orbit_code': 22517998170411187, 'n': 65, 'trace_an': 0}
  • id: 42450846
    {'hecke_orbit_code': 22517998170411187, 'n': 66, 'trace_an': 0}
  • id: 42450847
    {'hecke_orbit_code': 22517998170411187, 'n': 67, 'trace_an': -9}
  • id: 42450848
    {'hecke_orbit_code': 22517998170411187, 'n': 68, 'trace_an': 4}
  • id: 42450849
    {'hecke_orbit_code': 22517998170411187, 'n': 69, 'trace_an': 0}
  • id: 42450850
    {'hecke_orbit_code': 22517998170411187, 'n': 70, 'trace_an': 0}
  • id: 42450851
    {'hecke_orbit_code': 22517998170411187, 'n': 71, 'trace_an': -10}
  • id: 42450852
    {'hecke_orbit_code': 22517998170411187, 'n': 72, 'trace_an': 0}
  • id: 42450853
    {'hecke_orbit_code': 22517998170411187, 'n': 73, 'trace_an': 5}
  • id: 42450854
    {'hecke_orbit_code': 22517998170411187, 'n': 74, 'trace_an': -10}
  • id: 42450855
    {'hecke_orbit_code': 22517998170411187, 'n': 75, 'trace_an': 0}
  • id: 42450856
    {'hecke_orbit_code': 22517998170411187, 'n': 76, 'trace_an': 1}
  • id: 42450857
    {'hecke_orbit_code': 22517998170411187, 'n': 77, 'trace_an': 0}
  • id: 42450858
    {'hecke_orbit_code': 22517998170411187, 'n': 78, 'trace_an': 0}
  • id: 42450859
    {'hecke_orbit_code': 22517998170411187, 'n': 79, 'trace_an': -15}
  • id: 42450860
    {'hecke_orbit_code': 22517998170411187, 'n': 80, 'trace_an': 0}
  • id: 42450861
    {'hecke_orbit_code': 22517998170411187, 'n': 81, 'trace_an': 0}
  • id: 42450862
    {'hecke_orbit_code': 22517998170411187, 'n': 82, 'trace_an': -2}
  • id: 42450863
    {'hecke_orbit_code': 22517998170411187, 'n': 83, 'trace_an': 9}
  • id: 42450864
    {'hecke_orbit_code': 22517998170411187, 'n': 84, 'trace_an': 0}
  • id: 42450865
    {'hecke_orbit_code': 22517998170411187, 'n': 85, 'trace_an': 0}
  • id: 42450866
    {'hecke_orbit_code': 22517998170411187, 'n': 86, 'trace_an': 4}
  • id: 42450867
    {'hecke_orbit_code': 22517998170411187, 'n': 87, 'trace_an': 0}
  • id: 42450868
    {'hecke_orbit_code': 22517998170411187, 'n': 88, 'trace_an': -15}
  • id: 42450869
    {'hecke_orbit_code': 22517998170411187, 'n': 89, 'trace_an': -3}
  • id: 42450870
    {'hecke_orbit_code': 22517998170411187, 'n': 90, 'trace_an': 0}
  • id: 42450871
    {'hecke_orbit_code': 22517998170411187, 'n': 91, 'trace_an': 0}
  • id: 42450872
    {'hecke_orbit_code': 22517998170411187, 'n': 92, 'trace_an': 9}
  • id: 42450873
    {'hecke_orbit_code': 22517998170411187, 'n': 93, 'trace_an': 0}
  • id: 42450874
    {'hecke_orbit_code': 22517998170411187, 'n': 94, 'trace_an': -8}
  • id: 42450875
    {'hecke_orbit_code': 22517998170411187, 'n': 95, 'trace_an': 0}
  • id: 42450876
    {'hecke_orbit_code': 22517998170411187, 'n': 96, 'trace_an': 0}
  • id: 42450877
    {'hecke_orbit_code': 22517998170411187, 'n': 97, 'trace_an': 10}
  • id: 42450878
    {'hecke_orbit_code': 22517998170411187, 'n': 98, 'trace_an': 7}
  • id: 42450879
    {'hecke_orbit_code': 22517998170411187, 'n': 99, 'trace_an': 0}
  • id: 42450880
    {'hecke_orbit_code': 22517998170411187, 'n': 100, 'trace_an': 0}