Embedded newform data - 2475.2.c.i.199.4

Formats: - HTML - YAML - JSON - 2024-04-18T02:38:07.175394

• 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': 9900, 'analytic_conductor': 19.762974500266896, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 5, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 2, 'char_parity': 1, 'char_values': [2475, 2, [551, 2377, 2026], [2, 1, 2]], 'cm_discs': [], 'conrey_index': 199, 'conrey_indexes': [199], 'dim': 4, 'field_disc': 4624, 'field_disc_factorization': [[2, 4], [17, 2]], 'field_poly': [16, 0, 9, 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': [[2, [16, 0, 9, 0, 1]], [7, [1, 0, 1]], [29, [-16, 2, 1]]], 'hecke_orbit': 9, 'hecke_orbit_code': 36028934491474347, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 5, 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': '2475.2.c.i', 'level': 2475, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 5, 11], 'level_radical': 165, 'minimal_twist': '2475.2.a.p', 'nf_label': '4.0.4624.1', 'prim_orbit_index': 2, 'qexp_display': 'q+\\beta _{1}q^{2}+(-3+\\beta _{3})q^{4}-\\beta _{2}q^{7}+(-\\beta _{1}+\\cdots)q^{8}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2475.2.c', 'trace_display': [0, 0, 0, 0], 'trace_hash': 1646009676423454580, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.027', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.039', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.929', 'prec': 17}, {'__RealLiteral__': 0, 'data': '83.965', 'prec': 20}, {'__RealLiteral__': 0, 'data': '33.250', 'prec': 20}, {'__RealLiteral__': 0, 'data': '2440.932', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.514', 'prec': 17}, 'traces': [4, 0, 0, -10, 0, 0, 0, 0, 0, 0, -4, 0, 0, -2, 0, 6, 0, 0, -12, 0, 0, 0, 0, 0, 0, 12, 0, 0, -4, 0, -6, 0, 0, 10, 0, 0, 0, 0, 0, 0, -6, 0, 0, 10, 0, 26, 0, 0, 24, 0, 0, 0, 0, 0, 0, 18, 0, 0, -34, 0, -22, 0, 0, -14, 0, 0, 0, 0, 0, 0, -6, 0, 0, 86, 0, 30, 0, 0, 38, 0, 0, 0, 0, 0, 0, 48, 0, 0, 52, 0, -10, 0, 0, 2, 0, 0, 0, 0, 0, 0, 14, 0, 0, 28, 0, -28, 0, 0, -10, 0, 0, 0, 0, 0, 0, 44, 0, 0, -14, 0, 4, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 52, 0, 46, 0, 0, -32, 0, 0, 0, 0, 0, 0, 84, 0, 0, 6, 0, -42, 0, 0, 2, 0, 0, 0, 0, 0, 0, 18, 0, 0, 66, 0, 0, 0, 0, 10, 0, 0, 0, 0, 0, 0, -6, 0, 0, -50, 0, 64, 0, 0, -98, 0, 0, 0, 0, 0, 0, 50, 0, 0, -30, 0, -60, 0, 0, 14, 0, 0, 0, 0, 0, 0, -44, 0, 0, 12, 0, 38, 0, 0, 44, 0, 0, 0, 0, 0, 0, -52, 0, 0, -18, 0, -44, 0, 0, 16, 0, 0, 0, 0, 0, 0, 102, 0, 0, 0, 0, 18, 0, 0, 72, 0, 0, 0, 0, 0, 0, -48, 0, 0, 74, 0, -34, 0, 0, 2, 0, 0, 0, 0, 0, 0, 6, 0, 0, -48, 0, -22, 0, 0, 84, 0, 0, 0, 0, 0, 0, -54, 0, 0, -70, 0, -12, 0, 0, 2, 0, 0, 0, 0, 0, 0, -94, 0, 0, 28, 0, -6, 0, 0, -18, 0, 0, 0, 0, 0, 0, -88, 0, 0, -44, 0, -146, 0, 0, 4, 0, 0, 0, 0, 0, 0, 28, 0, 0, -30, 0, -8, 0, 0, 108, 0, 0, 0, 0, 0, 0, 6, 0, 0, -24, 0, 14, 0, 0, -76, 0, 0, 0, 0, 0, 0, -164, 0, 0, -72, 0, -40, 0, 0, 8, 0, 0, 0, 0, 0, 0, 12, 0, 0, -10, 0, 118, 0, 0, -10, 0, 0, 0, 0, 0, 0, 48, 0, 0, -20, 0, 46, 0, 0, -126, 0, 0, 0, 0, 0, 0, -60, 0, 0, -18, 0, 36, 0, 0, 42, 0, 0, 0, 0, 0, 0, -28, 0, 0, -110, 0, 6, 0, 0, -20, 0, 0, 0, 0, 0, 0, -120, 0, 0, -48, 0, -60, 0, 0, 52, 0, 0, 0, 0, 0, 0, 108, 0, 0, 48, 0, 6, 0, 0, -144, 0, 0, 0, 0, 0, 0, 52, 0, 0, -108, 0, 114, 0, 0, 2, 0, 0, 0, 0, 0, 0, 18, 0, 0, 36, 0, -80, 0, 0, -10, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36, 0, 144, 0, 0, 26, 0, 0, 0, 0, 0, 0, -26, 0, 0, 52, 0, 32, 0, 0, -88, 0, 0, 0, 0, 0, 0, -20, 0, 0, 136, 0, -84, 0, 0, -6, 0, 0, 0, 0, 0, 0, -60, 0, 0, -24, 0, -54, 0, 0, -46, 0, 0, 0, 0, 0, 0, 12, 0, 0, 188, 0, 80, 0, 0, -66, 0, 0, 0, 0, 0, 0, 90, 0, 0, -94, 0, 78, 0, 0, 54, 0, 0, 0, 0, 0, 0, 0, 0, 0, -212, 0, -86, 0, 0, 18, 0, 0, 0, 0, 0, 0, 70, 0, 0, -6, 0, 26, 0, 0, 156, 0, 0, 0, 0, 0, 0, -92, 0, 0, 136, 0, -18, 0, 0, 62, 0, 0, 0, 0, 0, 0, -114, 0, 0, -78, 0, -66, 0, 0, 12, 0, 0, 0, 0, 0, 0, 72, 0, 0, -62, 0, -30, 0, 0, 34, 0, 0, 0, 0, 0, 0, -162, 0, 0, -84, 0, -14, 0, 0, 0, 0, 0, 0, 0, 0, 0, 22, 0, 0, 60, 0, -110, 0, 0, 8, 0, 0, 0, 0, 0, 0, -26, 0, 0, 64, 0, -16, 0, 0, 132, 0, 0, 0, 0, 0, 0, 50, 0, 0, 14, 0, 236, 0, 0, -8, 0, 0, 0, 0, 0, 0, 142, 0, 0, 0, 0, -20, 0, 0, -126, 0, 0, 0, 0, 0, 0, -72, 0, 0, -144, 0, 98, 0, 0, 22, 0, 0, 0, 0, 0, 0, -92, 0, 0, 20, 0, 8, 0, 0, 56, 0, 0, 0, 0, 0, 0, 132, 0, 0, -6, 0, 96, 0, 0, 50, 0, 0, 0, 0, 0, 0, -2, 0, 0, 18, 0, 6, 0, 0, 36, 0, 0, 0, 0, 0, 0, -20, 0, 0, -44, 0, -120, 0, 0, -122, 0, 0, 0, 0, 0, 0, -120, 0, 0, -54, 0, -4, 0, 0, -86, 0, 0, 0, 0, 0, 0, -84, 0, 0, 124, 0, 34, 0, 0, -96, 0, 0, 0, 0, 0, 0, -30, 0, 0, -16, 0, -44, 0, 0, -44, 0, 0, 0, 0, 0, 0, -94, 0, 0, 28, 0, -124, 0, 0, -44, 0, 0, 0, 0, 0, 0, 124, 0, 0, -38, 0, -46, 0, 0, -78, 0, 0, 0, 0, 0, 0, -72, 0, 0, 28, 0, 218, 0, 0, -22, 0, 0, 0, 0, 0, 0, -46, 0, 0, -96, 0, 76, 0, 0, 124, 0, 0, 0, 0, 0, 0, -6, 0, 0, -104, 0, -74, 0, 0, -16, 0, 0, 0, 0, 0, 0, 48, 0, 0, 72, 0, -72, 0, 0, -56, 0, 0, 0, 0, 0, 0, 150, 0, 0, -102, 0, -48, 0, 0, 12, 0, 0, 0, 0, 0, 0, -136, 0, 0, -36, 0, 38, 0, 0, 108, 0, 0, 0, 0, 0, 0, -58, 0, 0, 140, 0, -84, 0, 0, -52, 0, 0, 0, 0, 0, 0, 92, 0, 0, -24, 0, 174, 0, 0, -82, 0, 0, 0, 0, 0, 0, 10, 0, 0, 120, 0, -136, 0, 0, -58, 0, 0, 0, 0, 0, 0, 14, 0, 0, -40, 0, 2, 0, 0, 226, 0, 0, 0, 0, 0, 0, -88, 0, 0, -2, 0, -90, 0, 0, -58, 0, 0, 0, 0, 0, 0, 70, 0, 0, 192, 0, 28, 0, 0, -168, 0, 0, 0, 0, 0, 0, 44, 0, 0, -54, 0, 84, 0, 0, -66, 0, 0, 0, 0, 0, 0, 256, 0, 0, 0, 0, 118, 0, 0, 242, 0, 0, 0, 0, 0, 0, -88, 0, 0, -46, 0, 60, 0, 0, 14, 0, 0, 0, 0, 0, 0, -70, 0, 0, 36, 0, -14, 0, 0, -28, 0, 0, 0, 0, 0, 0, 102, 0, 0, 50, 0, 4, 0, 0, 10, 0, 0, 0, 0, 0, 0, 246, 0, 0, -44, 0, -46, 0, 0, -28, 0, 0, 0, 0, 0, 0, -24, 0, 0, 134, 0, -124, 0, 0, 66, 0, 0, 0, 0, 0, 0, 28, 0, 0, 12, 0, -214, 0, 0, -10, 0, 0, 0, 0, 0, 0, 140, 0, 0, 94, 0, -300, 0, 0, 108, 0, 0, 0, 0, 0, 0, -36, 0, 0, 10, 0, 48, 0, 0, -36, 0, 0, 0, 0, 0, 0, 62, 0, 0, -64, 0, 42, 0, 0, -20, 0, 0, 0, 0, 0, 0, 288, 0, 0, 174, 0, 88, 0, 0, 8, 0, 0, 0, 0, 0, 0, 44, 0, 0, 152, 0, -60, 0, 0, 156, 0, 0, 0, 0, 0, 0, -12, 0, 0, -66, 0, 54, 0, 0, 210, 0, 0, 0, 0, 0, 0, -144, 0, 0, 72, 0, -44, 0, 0, 202, 0, 0, 0, 0, 0, 0, 108, 0, 0, 210, 0, 26, 0, 0, 146, 0, 0, 0, 0, 0, 0, 4, 0, 0, 156, 0, -88, 0, 0, 14, 0, 0, 0, 0, 0, 0, 58, 0, 0, 12, 0, 10, 0, 0, 88, 0, 0, 0, 0, 0, 0, -4, 0, 0, -196, 0, -156, 0, 0, -16, 0, 0, 0, 0, 0, 0, -56, 0, 0, 18, 0, 62, 0, 0, -84, 0, 0, 0, 0, 0, 0, 146, 0, 0, 36, 0, -106, 0, 0, -278, 0, 0, 0, 0, 0, 0, 24, 0, 0, -14, 0, 34, 0, 0, -262, 0, 0, 0, 0, 0, 0, 16, 0, 0, 138, 0, 88, 0, 0, -110, 0, 0, 0, 0, 0, 0, -258, 0, 0, 232, 0, 0, 0, 0, 10, 0, 0, 0, 0, 0, 0, -24, 0, 0, 180, 0, 216, 0, 0, 74, 0, 0, 0, 0, 0, 0, 248, 0, 0, -106, 0, 0, 0, 0, 100, 0, 0, 0, 0, 0, 0, 156, 0, 0, 176, 0, 36, 0, 0, 6, 0, 0, 0, 0, 0, 0, 4, 0, 0, -16, 0, 140, 0, 0, -52, 0, 0, 0, 0, 0, 0, 222, 0, 0, 4, 0, 276, 0, 0, -194, 0, 0, 0, 0, 0, 0, -46, 0, 0, 122, 0, -114, 0, 0, -118, 0, 0, 0, 0, 0, 0, -62, 0, 0, -180, 0, -196, 0, 0, -36, 0, 0, 0, 0, 0, 0, -80, 0, 0, 32, 0, 16, 0, 0, -68, 0, 0, 0, 0, 0, 0, -60, 0, 0, -296, 0, 200, 0, 0, -52, 0, 0, 0, 0, 0, 0, -188, 0, 0, 220, 0, 46, 0, 0, -98, 0, 0, 0, 0, 0, 0, 114, 0, 0, 146, 0, 182, 0, 0, -34, 0, 0, 0, 0, 0, 0, -32, 0, 0, -16, 0, -252, 0, 0, -60, 0, 0, 0, 0, 0, 0, 154, 0, 0, -20, 0, -84, 0, 0, -30, 0, 0, 0, 0, 0, 0, -30, 0, 0, -28, 0, -20, 0, 0, -52, 0, 0, 0, 0, 0, 0, 58, 0, 0, -144, 0, 48, 0, 0, -6, 0, 0, 0, 0, 0, 0, 116, 0, 0, 62, 0, -140, 0, 0, 32, 0, 0, 0, 0, 0, 0, 42, 0, 0, -132, 0, 60, 0, 0, 64, 0, 0, 0, 0, 0, 0, 258, 0, 0, -212, 0, -2, 0, 0, 138, 0, 0, 0, 0, 0, 0, -156, 0, 0, -2, 0, 20, 0, 0, 56, 0, 0, 0, 0, 0, 0, -264, 0, 0, -88, 0, 68, 0, 0, 2, 0, 0, 0, 0, 0, 0, 112, 0, 0, 232, 0, -56, 0, 0, 30, 0, 0, 0, 0, 0, 0, 24, 0, 0, -70, 0, 164, 0, 0, 240, 0, 0, 0, 0, 0, 0, -36, 0, 0, -144, 0, 74, 0, 0, 172, 0, 0, 0, 0, 0, 0, -180, 0, 0, 56, 0, -18, 0, 0, -236, 0, 0, 0, 0, 0, 0, -192, 0, 0, -292, 0, -6, 0, 0, 90, 0, 0, 0, 0, 0, 0, -256, 0, 0, -40, 0, -106, 0, 0, -66, 0, 0, 0, 0, 0, 0, 36, 0, 0, -324, 0, 208, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, 136, 0, 0, 0, 0, 0, 0, 36, 0, 0, 108, 0, -188, 0, 0, 10, 0, 0, 0, 0, 0, 0, -20, 0, 0, -10, 0, -166, 0, 0, -346, 0, 0, 0, 0, 0, 0, -70, 0, 0, -108, 0, -56, 0, 0, 60, 0, 0, 0, 0, 0, 0, -294, 0, 0, 94, 0, -18, 0, 0, 206, 0, 0, 0, 0, 0, 0, -112, 0, 0, 30, 0, -74, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, -42, 0, -36, 0, 0, -4, 0, 0, 0, 0, 0, 0, 96, 0, 0, -88, 0, 6, 0, 0, 2, 0, 0, 0, 0, 0, 0, 16, 0, 0, 84, 0, -186, 0, 0, 180, 0, 0, 0, 0, 0, 0, 164, 0, 0, -136, 0, 134, 0, 0, 50, 0, 0, 0, 0, 0, 0, -84, 0, 0, 12, 0, 112, 0, 0, 72, 0, 0, 0, 0, 0, 0, -64, 0, 0, -196, 0, 20, 0, 0, -8, 0], 'weight': 2, 'weight_parity': 1}
• 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, 1.811291364304599], [0.0, 0.0], [-2.280776406404415, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.37796447300922725], [0.0, -2.3198592445253943], [0.0, 0.0], [0.0, 0.0], [-0.30151134457776363, 0.0], [0.0, 0.0], [0.0, 0.12160337038467081], [-0.6846037859755519, 0.0], [0.0, 0.0], [1.9211646096066226, 0.0], [0.0, 0.3488746876271654], [0.0, 0.0], [-0.6882472016116853, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.5461248946735715], [0.0, -1.368178340067384], [0.0, 0.0], [0.0, 0.0], [-0.22025913464808783, 0.0], [0.0, 0.0], [0.0, -0.8620524524985238], [-0.9513368316658283, 0.0], [0.0, 0.0], [0.8413894937258696, 0.0], [0.0, 1.1599296222626971], [0.0, 0.0], [-0.6319137089235491, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -1.7767854671640912], [0.0, -1.2466162127860518], [0.0, 0.0], [0.0, 0.0], [-1.200142017158086, 0.0], [0.0, 0.0], [0.0, -0.7144037143566122], [0.6876799609762351, 0.0], [0.0, 0.0], [2.4781696121926533, 0.0], [0.0, 0.7932790527213885], [0.0, 0.0], 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• 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': 9900, 'analytic_conductor': 19.762974500266896, 'char_conductor': 5, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 2, 'char_parity': 1, 'char_values': [2475, 2, [551, 2377, 2026], [2, 1, 2]], 'conrey_index': 199, 'cusp_dim': 336, 'dim': 76, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 7, 29], 'hecke_orbit_code': 137472510379, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 2, 2, 4, 4, 4, 4, 4, 4, 4, 4, 6, 6, 8, 8], 'label': '2475.2.c', 'level': 2475, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 5, 11], 'level_radical': 165, 'mf_dim': 384, 'mf_new_dim': 76, 'num_forms': 20, 'prim_orbit_index': 2, 'relative_dim': 76, 'sturm_bound': 720, 'trace_bound': 14, 'trace_display': [0, 0, 0, 0], 'traces': [76, 0, 0, -86, 0, 0, 0, 0, 0, 0, -4, 0, 0, -4, 0, 98, 0, 0, -12, 0, 0, 0, 0, 0, 0, -8, 0, 0, -40, 0, 22, 0, 0, 28, 0, 0, 0, 0, 0, 0, 40, 0, 0, 18, 0, -72, 0, 0, -48, 0, 0, 0, 0, 0, 0, 36, 0, 0, 26, 0, 12, 0, 0, -94, 0, 0, 0, 0, 0, 0, -98, 0, 0, 48, 0, -12, 0, 0, 32, 0, 0, 0, 0, 0, 0, -16, 0, 0, -50, 0, -76, 0, 0, 112, 0, 0, 0, 0, 0, 0, 16, 0, 0, 36, 0, -56, 0, 0, 4, 0, 0, 0, 0, 0, 0, 148, 0, 0, 120, 0, 76, 0, 0, 96, 0, 0, 0, 0, 0, 0, -12, 0, 0, -12, 0, -48, 0, 0, 40, 0, 0, 0, 0, 0, 0, -24, 0, 0, -120, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, -112, 0, -24, 0, 0, -108, 0, 0, 0, 0, 0, 0, -38, 0, 0, 46, 0, 86, 0, 0, 136, 0, 0, 0, 0, 0, 0, 26, 0, 0, -156, 0, 74, 0, 0, 76, 0, 0, 0, 0, 0, 0, 124, 0, 0, 28, 0, 28, 0, 0, -148, 0, 0, 0, 0, 0, 0, 100, 0, 0, -200, 0, 16, 0, 0, -30, 0, 0, 0, 0, 0, 0, -104, 0, 0, 108, 0, -24, 0, 0, 128, 0, 0, 0, 0, 0, 0, -110, 0, 0, -40, 0, 82, 0, 0, 52, 0, 0, 0, 0, 0, 0, 20, 0, 0, 140, 0, -84, 0, 0, -12, 0, 0, 0, 0, 0, 0, 60, 0, 0, 348, 0, 20, 0, 0, -120, 0, 0, 0, 0, 0, 0, -64, 0, 0, -88, 0, -304, 0, 0, 120, 0, 0, 0, 0, 0, 0, -152, 0, 0, -16, 0, -8, 0, 0, -36, 0, 0, 0, 0, 0, 0, 4, 0, 0, -160, 0, 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0, -476, 0, 0, 0, 0, 0, 0, -44, 0, 0, 328, 0, 72, 0, 0, 260, 0, 0, 0, 0, 0, 0, -756, 0, 0, 56, 0, 320, 0, 0, 496, 0, 0, 0, 0, 0, 0, -124, 0, 0, 288, 0, -268, 0, 0, -200, 0, 0, 0, 0, 0, 0, 20, 0, 0, 564, 0, -212, 0, 0, 372, 0, 0, 0, 0, 0, 0, 16, 0, 0, -644, 0, 84, 0, 0, 104, 0, 0, 0, 0, 0, 0, -52, 0, 0, -378, 0, -296, 0, 0, 244, 0, 0, 0, 0, 0, 0, -156, 0, 0, 368, 0, 112, 0, 0, 206, 0, 0, 0, 0, 0, 0, 860, 0, 0, -252, 0, -260, 0, 0, -108, 0, 0, 0, 0, 0, 0, -474, 0, 0, 168, 0, 524, 0, 0, 32, 0, 0, 0, 0, 0, 0, 132, 0, 0, 48, 0, 346, 0, 0, 64, 0, 0, 0, 0, 0, 0, -4, 0, 0, -148, 0, -176, 0, 0, -76, 0, 0, 0, 0, 0, 0, 248, 0, 0, -112, 0, 544, 0, 0, -412, 0, 0, 0, 0, 0, 0, -104, 0, 0, 196, 0, -312, 0, 0, -486, 0, 0, 0, 0, 0, 0, 152, 0, 0, -148, 0, -240, 0, 0, -780, 0, 0, 0, 0, 0, 0, 72, 0, 0, 588, 0, 48, 0, 0, 76, 0, 0, 0, 0, 0, 0, 148, 0, 0, -82, 0, -20, 0, 0, -732, 0, 0, 0, 0, 0, 0, 528, 0, 0, -140, 0, 1320, 0, 0, 348, 0, 0, 0, 0, 0, 0, -720, 0, 0, 240, 0, 56, 0, 0, 102, 0, 0, 0, 0, 0, 0, -12, 0, 0, -728, 0, 156, 0, 0, -116, 0, 0, 0, 0, 0, 0, 368, 0, 0, 76, 0, 144, 0, 0, 172, 0, 0, 0, 0, 0, 0, 64, 0, 0, -560, 0, 108, 0, 0, -14, 0, 0, 0, 0, 0, 0, 180, 0, 0, 442, 0, -404, 0, 0, -932, 0, 0, 0, 0, 0, 0, -126, 0, 0, -220, 0, 392, 0, 0, -266, 0, 0, 0, 0, 0, 0, -400, 0, 0, 24, 0, 192, 0, 0, 300, 0, 0, 0, 0, 0, 0, -142, 0, 0, -4, 0, 616, 0, 0, -326, 0, 0, 0, 0, 0, 0, -224, 0, 0, -16, 0, 300, 0, 0, 524, 0, 0, 0, 0, 0, 0, -220, 0, 0, -300, 0, -376, 0, 0, 424, 0, 0, 0, 0, 0, 0, 708, 0, 0, 632, 0, -268, 0, 0, 76, 0, 0, 0, 0, 0, 0, 380, 0, 0, -84, 0, -156, 0, 0, -664, 0, 0, 0, 0, 0, 0, 448, 0, 0, 408, 0, -480, 0, 0, -420, 0, 0, 0, 0, 0, 0, -220, 0, 0, -632, 0, 856, 0, 0, -80, 0, 0, 0, 0, 0, 0, -612, 0, 0, 0, 0, -188, 0, 0, -704, 0, 0, 0, 0, 0, 0, -32, 0, 0, -704, 0, 400, 0, 0, 732, 0, 0, 0, 0, 0, 0, 276, 0, 0, 340, 0, -60, 0, 0, 828, 0, 0, 0, 0, 0, 0, 492, 0, 0, -4, 0, 352, 0, 0, 320, 0, 0, 0, 0, 0, 0, 628, 0, 0, -174, 0, 492, 0, 0, -328, 0, 0, 0, 0, 0, 0, 294, 0, 0, 740, 0, -832, 0, 0, 560, 0, 0, 0, 0, 0, 0, 316, 0, 0, 152, 0, -162, 0, 0, -368, 0, 0, 0, 0, 0, 0, -56, 0, 0, -548, 0, 440, 0, 0, -340, 0, 0, 0, 0, 0, 0, 360, 0, 0, -40, 0, -52, 0, 0, -516, 0, 0, 0, 0, 0, 0, -220, 0, 0, 140, 0, -860, 0, 0, 820, 0, 0, 0, 0, 0, 0, 320, 0, 0, -168, 0, 196, 0, 0, -68, 0, 0, 0, 0, 0, 0, -196, 0, 0, -280, 0, 636, 0, 0, -44, 0, 0, 0, 0, 0, 0, 192, 0, 0, 22, 0, 26, 0, 0, -156, 0, 0, 0, 0, 0, 0, -316, 0, 0, -208, 0, -192, 0, 0, 100, 0, 0, 0, 0, 0, 0, -152, 0, 0, -60, 0, -980, 0, 0, -120, 0, 0, 0, 0, 0, 0, -426, 0, 0, -444, 0, -1960, 0, 0, 514, 0, 0, 0, 0, 0, 0, 372, 0, 0, -4, 0, -504, 0, 0, -524, 0, 0, 0, 0, 0, 0, -206, 0, 0, -4, 0, -572, 0, 0, 88, 0, 0, 0, 0, 0, 0, 148, 0, 0, 260, 0, 184, 0, 0, 436, 0, 0, 0, 0, 0, 0, 368, 0, 0, 528, 0, 98, 0, 0, -236, 0, 0, 0, 0, 0, 0, 228, 0, 0, -156, 0, 138, 0, 0, 56, 0, 0, 0, 0, 0, 0, -320, 0, 0, 212, 0, 60, 0, 0, -10, 0, 0, 0, 0, 0, 0, -772, 0, 0, -588, 0, -552, 0, 0, 792, 0, 0, 0, 0, 0, 0, -194, 0, 0, -412, 0, -16, 0, 0, -40, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_cc •

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

  
  
  • id: 46609219
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 199, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 36028934491474347, 'source_is_minimal': False, 'source_label': '2475.2.c.i.199.4', 'source_level': 2475, 'target_conrey_index': 199, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 36028934491474347, 'target_is_minimal': False, 'target_label': '2475.2.c.i.199.4', 'target_level': 2475, 'twist_class_label': '2475.2.a.p.1.1', 'twist_class_level': 2475, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 46609220
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 199, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 36028934491474347, 'source_is_minimal': False, 'source_label': '2475.2.c.i.199.4', 'source_level': 2475, 'target_conrey_index': 199, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40532534118844843, 'target_is_minimal': False, 'target_label': '2475.2.c.j.199.1', 'target_level': 2475, 'twist_class_label': '2475.2.a.p.1.1', 'twist_class_level': 2475, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 46609221
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 199, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 36028934491474347, 'source_is_minimal': False, 'source_label': '2475.2.c.i.199.4', 'source_level': 2475, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 67553994444114347, 'target_is_minimal': True, 'target_label': '2475.2.a.p.1.1', 'target_level': 2475, 'twist_class_label': '2475.2.a.p.1.1', 'twist_class_level': 2475, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 46609222
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 199, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 36028934491474347, 'source_is_minimal': False, 'source_label': '2475.2.c.i.199.4', 'source_level': 2475, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 94575592208337323, 'target_is_minimal': True, 'target_label': '2475.2.a.v.1.2', 'target_level': 2475, 'twist_class_label': '2475.2.a.p.1.1', 'twist_class_level': 2475, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 46609223
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 199, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 36028934491474347, 'source_is_minimal': False, 'source_label': '2475.2.c.i.199.4', 'source_level': 2475, 'target_conrey_index': 199, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 36028934491474347, 'target_is_minimal': False, 'target_label': '2475.2.c.i.199.1', 'target_level': 2475, 'twist_class_label': '2475.2.a.p.1.1', 'twist_class_level': 2475, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 46609224
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 199, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 36028934491474347, 'source_is_minimal': False, 'source_label': '2475.2.c.i.199.4', 'source_level': 2475, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 90071992580966827, 'target_is_minimal': True, 'target_label': '2475.2.a.u.1.2', 'target_level': 2475, 'twist_class_label': '2475.2.a.p.1.1', 'twist_class_level': 2475, 'twisting_char_label': '15.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 46609225
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 199, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 36028934491474347, 'source_is_minimal': False, 'source_label': '2475.2.c.i.199.4', 'source_level': 2475, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 72057594071484843, 'target_is_minimal': True, 'target_label': '2475.2.a.q.1.1', 'target_level': 2475, 'twist_class_label': '2475.2.a.p.1.1', 'twist_class_level': 2475, 'twisting_char_label': '15.8', 'twisting_conrey_index': 8, 'weight': 2}
  • id: 46609226
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 199, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 36028934491474347, 'source_is_minimal': False, 'source_label': '2475.2.c.i.199.4', 'source_level': 2475, 'target_conrey_index': 199, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 40532534118844843, 'target_is_minimal': False, 'target_label': '2475.2.c.j.199.4', 'target_level': 2475, 'twist_class_label': '2475.2.a.p.1.1', 'twist_class_level': 2475, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2679275
    {'charpoly_factorization': [[[16, 0, 9, 0, 1], 1]], 'hecke_orbit_code': 36028934491474347, 'p': 2}
  • id: 2679276
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 36028934491474347, 'p': 3}
  • id: 2679277
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 36028934491474347, 'p': 5}
  • id: 2679278
    {'charpoly_factorization': [[[1, 0, 1], 2]], 'hecke_orbit_code': 36028934491474347, 'p': 7}
  • id: 2679279
    {'charpoly_factorization': [[[1, 1], 4]], 'hecke_orbit_code': 36028934491474347, 'p': 11}
  • id: 2679280
    {'charpoly_factorization': [[[4, 0, 21, 0, 1], 1]], 'hecke_orbit_code': 36028934491474347, 'p': 13}
  • id: 2679281
    {'charpoly_factorization': [[[64, 0, 33, 0, 1], 1]], 'hecke_orbit_code': 36028934491474347, 'p': 17}
  • id: 2679282
    {'charpoly_factorization': [[[3, 1], 4]], 'hecke_orbit_code': 36028934491474347, 'p': 19}
  • id: 2679283
    {'charpoly_factorization': [[[256, 0, 49, 0, 1], 1]], 'hecke_orbit_code': 36028934491474347, 'p': 23}
  • id: 2679284
    {'charpoly_factorization': [[[-16, 2, 1], 2]], 'hecke_orbit_code': 36028934491474347, 'p': 29}
  • id: 2679285
    {'charpoly_factorization': [[[-36, 3, 1], 2]], 'hecke_orbit_code': 36028934491474347, 'p': 31}
  • id: 2679286
    {'charpoly_factorization': [[[11236, 0, 213, 0, 1], 1]], 'hecke_orbit_code': 36028934491474347, 'p': 37}
  • id: 2679287
    {'charpoly_factorization': [[[-36, 3, 1], 2]], 'hecke_orbit_code': 36028934491474347, 'p': 41}
  • id: 2679288
    {'charpoly_factorization': [[[1296, 0, 81, 0, 1], 1]], 'hecke_orbit_code': 36028934491474347, 'p': 43}
  • id: 2679289
    {'charpoly_factorization': [[[2704, 0, 121, 0, 1], 1]], 'hecke_orbit_code': 36028934491474347, 'p': 47}
  • id: 2679290
    {'charpoly_factorization': [[[64, 0, 52, 0, 1], 1]], 'hecke_orbit_code': 36028934491474347, 'p': 53}
  • id: 2679291
    {'charpoly_factorization': [[[68, 17, 1], 2]], 'hecke_orbit_code': 36028934491474347, 'p': 59}
  • id: 2679292
    {'charpoly_factorization': [[[26, 11, 1], 2]], 'hecke_orbit_code': 36028934491474347, 'p': 61}
  • id: 2679293
    {'charpoly_factorization': [[[1444, 0, 77, 0, 1], 1]], 'hecke_orbit_code': 36028934491474347, 'p': 67}
  • id: 2679294
    {'charpoly_factorization': [[[-104, 3, 1], 2]], 'hecke_orbit_code': 36028934491474347, 'p': 71}
  • id: 2679295
    {'charpoly_factorization': [[[16, 0, 264, 0, 1], 1]], 'hecke_orbit_code': 36028934491474347, 'p': 73}
  • id: 2679296
    {'charpoly_factorization': [[[52, -19, 1], 2]], 'hecke_orbit_code': 36028934491474347, 'p': 79}
  • id: 2679297
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 36028934491474347, 'p': 83}
  • id: 2679298
    {'charpoly_factorization': [[[152, -26, 1], 2]], 'hecke_orbit_code': 36028934491474347, 'p': 89}
  • id: 2679299
    {'charpoly_factorization': [[[169, 0, 42, 0, 1], 1]], 'hecke_orbit_code': 36028934491474347, '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': 3, 'hecke_orbit': 9, 'label': '2475.2.c.i', 'level': 2475, 'portrait': 'data:image/png;base64,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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 201352000
    {'hecke_orbit_code': 36028934491474347, 'n': 1, 'trace_an': 4}
  • id: 201352001
    {'hecke_orbit_code': 36028934491474347, 'n': 2, 'trace_an': 0}
  • id: 201352002
    {'hecke_orbit_code': 36028934491474347, 'n': 3, 'trace_an': 0}
  • id: 201352003
    {'hecke_orbit_code': 36028934491474347, 'n': 4, 'trace_an': -10}
  • id: 201352004
    {'hecke_orbit_code': 36028934491474347, 'n': 5, 'trace_an': 0}
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    {'hecke_orbit_code': 36028934491474347, 'n': 988, 'trace_an': 0}
  • id: 201352988
    {'hecke_orbit_code': 36028934491474347, 'n': 989, 'trace_an': -24}
  • id: 201352989
    {'hecke_orbit_code': 36028934491474347, 'n': 990, 'trace_an': 0}
  • id: 201352990
    {'hecke_orbit_code': 36028934491474347, 'n': 991, 'trace_an': 174}
  • id: 201352991
    {'hecke_orbit_code': 36028934491474347, 'n': 992, 'trace_an': 0}
  • id: 201352992
    {'hecke_orbit_code': 36028934491474347, 'n': 993, 'trace_an': 0}
  • id: 201352993
    {'hecke_orbit_code': 36028934491474347, 'n': 994, 'trace_an': -82}
  • id: 201352994
    {'hecke_orbit_code': 36028934491474347, 'n': 995, 'trace_an': 0}
  • id: 201352995
    {'hecke_orbit_code': 36028934491474347, 'n': 996, 'trace_an': 0}
  • id: 201352996
    {'hecke_orbit_code': 36028934491474347, 'n': 997, 'trace_an': 0}
  • id: 201352997
    {'hecke_orbit_code': 36028934491474347, 'n': 998, 'trace_an': 0}
  • id: 201352998
    {'hecke_orbit_code': 36028934491474347, 'n': 999, 'trace_an': 0}
  • id: 201352999
    {'hecke_orbit_code': 36028934491474347, 'n': 1000, 'trace_an': 0}